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NicegarrryNicegarrry/claude-skills/feedback-addressing/SKILL.md

feedback-addressing

Skill0 starsChanged 5 months agoMITView on GitHub

Use when addressing reviewer feedback on a Word (.docx) document — a file plus inline comments and/or free-text dot-point notes — and you need the document back with native Word track-changes applied, an internal audit table, and a reviewer-facing email reply. Triggers include "address this feedback", "incorporate these comments", "respond to the reviewer", "work through these review notes", or a doc handed over with a feedback dump. Tiered P1/P2/P3 findings. Drafts only — never auto-sends.

The file

Show its rules and text

We split this skill into the rules it gives an agent

28 rules. About 0 are common, 17 are distinctive, and 11 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈17

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 11

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    If the overlay is absent the skill still runs.

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  2. Distinctive:

    Do NOT use this skill for:

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  3. Distinctive:

    If the input is malformed (file unreadable, no feedback supplied, both feedback channels empty): stop, flag to the user, do not invent …

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  4. Very specific:

    Extract feedback to a normalised JSON: Run helpers/extract_feedback.py <doc-path> [--dotpoints <path-or-stdin>].

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  5. Very specific:

    9a. Visual-QA pass (rule G): Run helpers/visual_qa.py <out-doc> --out-dir 09-visual-qa/.

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  6. Very specific:

    Produce the reviewer-facing email reply: Default mode (reviewer_table_format=email-draft, rule E — concise grouped): run

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  7. Very specific:

    Create a spellcheck-grammar-style bucket EVERY run.

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  8. Very specific:

    Every piece of prose this skill writes into a deliverable — proposed-change after_text, footnote_text, qualitative gap notes, the reviewer …

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  9. Very specific:

    Em dashes (—): Use commas, parentheses, or full stops.

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  10. Distinctive:

    Unasked detail: Do not add anecdotes, attributions ("the then chief executive of...") or statute names the reviewer did not ask for.

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  11. Distinctive:

    Make the recommended option: When there are options, apply the best one as a tracked change and name the alternative in the reply in one …

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  12. Distinctive:

    Add what the owner used: If the text draws on a source missing from the reference list, add the entry.

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  13. Distinctive:

    Escalate only: when the fix needs the owner's personal knowledge or opinion, spends money or needs a licence, or the reviewer or rules file …

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  14. Distinctive:

    When the owner reviews the tracked output and asks to get it ready to send back as final:

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  15. Distinctive:

    Remove every Claude comment and reply, and any "Claude"/"[CLAUDE: ...]" text, including deleted runs, so the final file never names Claude …

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  16. Very specific:

    Run helpers/final_pass.py <owner.docx> <out.docx> --owner "<name>" --aliases "<Word account names>" --remove-ids <actioned owner asks> …

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  17. Distinctive:

    Delete a reference only when it has no in-text citation (verify the report's matches by eye, since it misses unusual citation forms), then …

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  18. Distinctive:

    Every feedback item in the dump appears as a row in the internal table (recall = 1.0)

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  19. Distinctive:

    Every applied change passes the check gate

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  20. Very specific:

    Every clarifying_Q?=yes item either has an answer or is marked escalated — never silently skipped

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  21. Very specific:

    Every owner-authored comment that got an applied change has a paired remove_comment that succeeded

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  22. Distinctive:

    Every reviewer comment is preserved (ranges intact in body + comments.xml)

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  23. Distinctive:

    Every cited-evidence row triggered by rule K either lands ≥2 verifiable citations OR is escalated with the research log attached

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  24. Very specific:

    Every confidence=low row drafted under rule J or rule K has the inferred-intent signal explicitly captured in the change rationale

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  25. Very specific:

    No generated prose (after_text, footnote_text, reviewer-email cover and grouped bullets) contains em dashes or rule L banned fillers

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  26. Distinctive:

    Every reply and Claude comment is within the rule N word cap and leads with the outcome

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  27. Distinctive:

    No reply proposes a change the writer could have made itself (rule M).

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  28. Distinctive:

    If a feedback item could plausibly cause the reader to draw a wrong conclusion → always P1.

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≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

feedback-addressing

End-to-end loop for addressing reviewer feedback on a Word document — extract the feedback, plan, research the gaps, ask the right clarifying questions, apply tracked edits, and produce both an internal audit table and a reviewer-facing summary.

The skill works driven by a single agent. For larger feedback dumps it fans work out to subagents (one per category) with a single writer to the document and a verification gate before anything is applied — see references/orchestration.md. For complex rounds (several related documents, a reviewer call transcript, reference-heavy or cross-document fixes) use workflow mode: workflows/deep-feedback.js, a Claude Code Workflow that runs understand → cross-document consistency → plan → research + adversarial check → targeted write → check gate → spirit/voice/accuracy review → apply, with threaded Claude replies on every comment — see references/workflow-mode.md. It ships Python helpers for the mechanical parts (comment extraction, native Word track-changes, reviewer-email rendering, visual QA).

Local configuration (private overlay)

Nothing personal is committed in this skill. Anything you want it to use about you lives in a local, untracked local/ overlay (gitignored) and/or environment variables:

  • local/reviewer-voice.md — an optional house-style / your-own-voice file. Best-practice capture (rule F) appends to it; per-bucket drafting can read it to match your style.
  • local/sources.md — your vetted "primary/secondary source" list for the research bucket (rule K). Off-list sources are still usable but get flagged confidence=low.
  • local/reference-folders.txt — paths to your own knowledge/reference folders the research step searches first.
  • FA_REMOVE_COMMENT_AUTHORS (env) — comma-separated list of comment authors whose comments may be removed (i.e. your own display name). Default is EMPTY: no comment is ever removed unless you opt in. Reviewer comments must never be listed.
  • --signoff "Your Name" — passed to render_tables.py so the reviewer email is signed by you.

If the overlay is absent the skill still runs; it just behaves generically (no personal voice, no pre-vetted source list, no comment removal).

When to use

Trigger this skill when:

  • You are handed a .docx path plus reviewer feedback (inline comments, dot-points, or both) and asked to "address", "incorporate", "respond to", or "work through" the feedback
  • A reviewer's comments are a separate dump (email body, chat message, doc) attached to a target file
  • The output you want is a tracked-changes / annotated version plus an email reply you can paste into your mail client

Do NOT use this skill for:

  • Authoring a new document from scratch — this is edit-mode only
  • PDFs with reviewer markup (out of scope; surface as a known limit)
  • Validating whether the reviewer's feedback is correct — all reviewer items are treated as legitimate input
  • Rewriting an entire section because a reviewer said "redo this" — escalate to the document owner before mass rewrites

Inputs

Required:

  • Document path — absolute path to a .docx file
  • Feedback — at least one of:
    • Inline comments embedded in the file (Word Comments track)
    • Free-text dot-point feedback (passed as a string, file path, or chat-message body)

Optional:

  • Reviewer name(s) — for attribution in the internal table
  • Internal context links — paths or URLs to prior versions, related documents, pages
  • Run folder — where working artefacts land. Default ./feedback-runs/<run-id>/.
  • reviewer_table_format — email-draft (default — concise grouped email reply, see step 11), markdown-table (table only), or docx-export (write a .docx of the table; opt-in only).

If the input is malformed (file unreadable, no feedback supplied, both feedback channels empty): stop, flag to the user, do not invent feedback.

Workflow

Each step produces a named artefact under the run folder (default ./feedback-runs/<run-id>/). The run is one full address-the-feedback cycle on one document. 12 steps, with 9a Visual-QA inserted:

  1. Brief. Produce 00-brief.md. Frontmatter: doc path, reviewers, feedback channels present, run-id (YYYY-MM-DDTHHMM). Body: 1-paragraph summary of the doc's purpose, 1-paragraph summary of the feedback dump, success criteria, scope boundaries. This is the contract for the rest of the run.
  2. Extract feedback to a normalised JSON. Run helpers/extract_feedback.py <doc-path> [--dotpoints <path-or-stdin>]. Returns a JSON list with one entry per feedback item: {feedback_id, source_type: inline|dotpoint, source_locator, reviewer, raw_text, anchor_text, anchor_location, anchor_paragraph_id, anchor_paragraph_index, comment_wid, date, comment_thread}. feedback_id is F01, F02, … in extraction order. Save to 01-feedback.json.

    Comment reply-chain reading (rule I). The extractor parses word/commentsExtended.xml (Word's w15:commentEx elements with w15:paraIdParent pointers) and emits a comment_thread field per row: an ordered list [{comment_id, author, text, role, date}, …] capturing the parent comment plus replies in date order. Where a comment is itself a reply, the chain includes its parent. Worker briefs (step 5) MUST include comment_thread so subagents read the parent's ask, not just the literal reply text.

    Shorthand-quality flagging (rule H). When extracting, mark a row clarifying_Q?=yes whenever the comment is ≤30 chars, OR contains imperative verbs without an object (e.g. "fix this", "redo", "to do"), OR uses placeholder language ("…", "todo", "tbc"). Do NOT treat the literal string as the change ask — the planning step (step 4) will infer intent from anchored content + neighbours + comment_thread.

  3. Build the internal table — first pass. From 01-feedback.json, render 02-internal-table.md with all 11 columns (see Output format below). Columns 1–4 (feedback_id, source, feedback_summary, tier) filled now; remaining columns left as — placeholders. Tier each item P1/P2/P3 per the rubric below.
  4. Plan to address each item. For each row, fill the plan_to_address cell with one or two sentences naming the concrete change. Read the WHOLE paragraph the comment anchors in PLUS the immediately surrounding paragraphs (one before, one after) — see § Section-context rule below — AND the comment_thread field (rule I). Mark knowledge_gap? (yes/no — does someone need new evidence?) and clarifying_Q? (yes/no — is intent ambiguous enough that an answer changes the response?). Save as 02-internal-table.md (overwrite). Also do address-completeness analysis: list each distinct ask in the comment so step 8's gate can verify all of them get a change-or-escalation.

    Low-confidence draft mode for shorthand (rule J). When a row was flagged clarifying_Q?=yes by step 2, the planning step ALWAYS attempts a draft using the full anchor context PLUS comment_thread. Only escalate when intent is genuinely undecipherable after reading: anchor + 1 before + 1 after + comment thread + any in-paragraph parenthetical that already gestures at the answer. If a sibling reviewer comment in the same thread states the intent (e.g. the parent comment explicitly says "I would put a footnote here to define X"), use THAT as the change spec — an owner reply of "to do" means "agree with the reviewer ask, action it". Mark such rows confidence=low so the reviewer email surfaces them as inferred-intent ("we drafted X based on inferred intent — please confirm").

  5. Group items into work buckets, then dispatch workers in parallel. The lead/orchestrator (see references/orchestration.md):

    • Groups items by category. Default buckets: grammar-spelling, definitions, citations-evidence, structural-clarity, factual-correction. Create new buckets if the dump warrants. Always also create a mandatory spellcheck-grammar-style bucket — even if no reviewer comment asked for one (rule C).
    • Auto-research bucket (rule K). Whenever ≥1 row matches the cited-evidence trigger heuristic (the comment names a data source or dataset AND uses a fetch verb like "pull", "fetch", "get", "find", "show me", "add data"), create a citations-evidence-research bucket and dispatch a single research subagent with web access — ONE pass, ≤30 min wall-clock budget, ≥2 verifiable citations or escalate. Source-quality rule: cite primary where reachable; cite the credible secondary verbatim when the primary is paywalled. Never invent figures. If the pass returns insufficient evidence, write the prose qualitatively and escalate the gap honestly. The spellcheck-grammar-style bucket subagent reads the whole document and surfaces (i) typos, (ii) grammar slips, (iii) AI-tells to avoid (em dashes, hedging, "incredibly", unnecessary intensifiers), (iv) style consistency (sentence-case headings, tense, voice), (v) references-section integrity (alphabetical order, complete coverage, format consistency). Each finding becomes a P3 row in 02-internal-table.md with a proposed replace/delete change.
    • Flags thematic=yes for any item that is cross-cutting / requires multiple coordinated updates throughout the doc / is a high-level reviewer comment. Each thematic=yes item gets its OWN dedicated subagent with a full per-item brief.
    • Writes the bucket assignments to 02a-grouping.md (rows: feedback_id, bucket, worker_id, thematic_yes/no). This is the dispatch contract.

    Each dispatched worker's brief: its assigned feedback rows, the plan column, and the reference folders to search first. Always include the full anchor paragraph + ONE BEFORE + ONE AFTER in the brief (rule A) — not just the anchor span. Always include the style guard (rule L) — the brief enumerates the banned patterns so workers don't introduce em dashes, AI-tell hedge fillers, or overclaims into after_text or footnote_text. Default reference-folder scope comes from local/reference-folders.txt if present. Workers have web access for citation/factual buckets. Research artefacts saved per worker at 03-research/<worker_id>.md.

  6. Draft clarifying questions while research runs. For all clarifying_Q?=yes items, draft a single message to the user listing the questions as numbered bullets, each tagged with the feedback_id. Stage it (do NOT send directly). Wait for the answers. Save them as 04-answers.md. Steps 5 and 6 run concurrently; do not block step 5 on step 6.
  7. Each dispatched worker writes its proposed changes back into the table. Workers do NOT touch the document. They append proposed_change blocks to 05-proposed-changes.md for each row they own: {feedback_id, worker_id, change_type, target_locator, …}. Schema fields by change_type:

    • insert | delete | replace | comment-only — before_text / after_text per § change-block format below.
    • footnote — target_locator, anchor_after_text (optional), footnote_text.
    • insert_image — target_locator, image_path, width_emu (optional), height_emu (optional), caption_text (optional), style_name (optional).
    • insert_table — target_locator, headers (JSON list or |-sep), rows (JSON list-of-lists), caption_text (optional).
    • apply_style — target_locator, style_name (e.g. "Heading 1", "Quote").
    • reply_comment (v0.6) — comment_id (the Word w:id of the comment to answer), reply_text (one paragraph; a literal \n becomes a line break), reply_author (default Claude), reply_initials (optional). Adds a native threaded reply in the parent's thread (comments.xml + commentsExtended.xml paraIdParent + commentsIds.xml when present + mirrored range/reference anchors). Never edits or removes the parent. Use it to tell the owner what was done for each comment so they can reply and resolve it themselves.
    • remove_comment — comment_id (the Word w:id), comment_author (must be in the allowlist; default EMPTY, set via env FA_REMOVE_COMMENT_AUTHORS). The helper raises RemoveCommentAuthorNotAllowed if the author is not in the allowlist; the orchestration catches this and logs the change as escalated. NEVER add remove_comment for a reviewer comment — it destroys the review trail. Pair every owner-authored substantive change with a remove_comment row for the same comment_id (rule B). If the substantive change is escalated, suppress the paired remove_comment (preserve the comment to revisit).

    target_locator is paragraph_id (w14:paraId hex) or paragraph_index (0-based int). One block per row.

  8. Run the verification (check) gate on each proposed change. Dispatch a check subagent (see references/orchestration.md) with 05-proposed-changes.md and the original brief. The check subagent returns {accept, rework, escalate} per item. The gate verifies BOTH literal correctness AND address-completeness (rule D): "For each item, identify the distinct asks in the comment. For each ask, confirm a corresponding change exists OR a documented escalation. If neither, return rework."

    Inferred-intent gate. For any row marked confidence=low (rule J shorthand-draft, or rule K off-list-secondary citation), the check ALSO verifies the change rationale explicitly captures the signal that fired — for rule J one of {sibling-reviewer-comment, in-paragraph parenthetical, neighbour paragraph, comment thread}; for rule K the unvetted-secondary source noted by name. Rows missing this captured signal return rework. Low-confidence is not a pass-through.

    Style-guard gate (rule L). The check also inspects every after_text and footnote_text against the rule L banned-pattern list (em dashes; "honestly" / "incredibly" / "frankly" / "fundamentally" / "ultimately" used as throat-clearing; overclaims like "comprehensive" / "robust" / "seamless" without a number; self-referential meta like "this analysis shows"). Any hit returns rework.

    Save as 06-check-results.md. Items marked rework go back to the owning worker (re-runs step 7 for that row only). Cap at 3 rework cycles per item — fourth failure → escalate. Items marked escalate are surfaced in the summary; no edit applied.

  9. Aggregate and apply all changes — single writer to the document. Workers never touch the doc. The lead takes 05-proposed-changes.md (full set of accepted proposed changes from step 8) plus the original 02-internal-table.md and:

    • Detects overlap conflicts. Group proposed changes by target_locator. Reconcile incompatible edits — higher-tier wins (P1 > P2 > P3); loser → escalated with reason overlap-conflict-with-<feedback_id>. Log all reconciliations to 06b-overlap-reconciliation.md.
    • Sequences the edits so insertions don't shift downstream locators (apply bottom-up by paragraph_id). The helper sorts paragraph-anchored changes descending; remove_comment rows run AFTER all paragraph-anchored edits.
    • Applies the aggregated change set in one pass via the helper below. The lead is the only writer to the output document. For owner-authored comments, after the substantive change applies cleanly, the paired remove_comment row runs (rule B). For reviewer comments, the comment STAYS (allowlist enforcement at helper level).

    Helper — helpers/apply_changes_docx.py <doc-path> <06c-aggregated-changes.md> --out <out-path> --author "<your name or tool name>" --date <ISO>. Native Word revisions (<w:ins> / <w:del> markup, <w:pPrChange> for style, <w:trPr><w:ins> for table rows). Output filename: <original-stem>-tracked-<run-id>.docx. The helper preserves any pre-existing <w:ins>/<w:del> markup (it only ADDS new revisions). Footnote/image/table/apply_style are first-class. The remove_comment change_type enforces an author allowlist at HELPER level. Save the output path to 07-output-doc-path.txt.

    9a. Visual-QA pass (rule G). Run helpers/visual_qa.py <out-doc> --out-dir 09-visual-qa/. Wraps soffice --headless --convert-to pdf plus pdftoppm to produce 09-visual-qa/<stem>.pdf + <stem>-pageNN.png. If soffice is not on PATH the helper returns {"skipped": true, "reason": "soffice not found"} with exit 0 — the run continues. Surface the visual-QA result in the run summary.

  10. Update the internal table — final pass. For each row, fill change_applied (text), change_location (locator), and status (applied / escalated / skipped-no-change-needed). Save final 02-internal-table.md.
  11. Produce the reviewer-facing email reply. Default mode (reviewer_table_format=email-draft, rule E — concise grouped): run helpers/render_tables.py 02-internal-table.md --format email-draft --doc-stem <stem> --reviewer-name <first-name> --signoff "<your name>" --out 08-reviewer-reply.md. Shape:

    • Salutation: Hi <first-name>, — first-name only, no title.
    • Cover note: 2 sentences MAX. Default tone: informal peer ("Thanks for the comments — addressed below.").
    • Body: when 3+ items in a category, GROUP them ("All seven word-tightening edits applied as suggested."). Only itemise when an item needs explicit reviewer attention (escalated, deviated from suggested text, request a clarification).
    • Sign-off: your name (via --signoff).

    The --format markdown-table (table only) and docx-export modes are opt-in. Skipped/escalated items still appear with what_changed = "no change — see note" and where = "—".

    Best-practice capture (rule F). When a comment flags a section as "best practice" / "good example" / "use this style for later", capture the section text verbatim into your optional local/reviewer-voice.md (create it if absent). Append under a "Best-practice samples" section: doc, paragraph_id, verbatim text, the annotation.

  12. Deliver the summary. A single message to the user:
    • 2–3 line summary (item count, P1/P2/P3 split, escalations count, comments-removed count)
    • Path to the tracked output doc
    • Path to the reviewer email reply (08-reviewer-reply.md)
    • List of any escalated items by feedback_id with the check reason
    • Path to the run folder for the full audit trail The user reviews, copies the email reply into their mail client, and sends it themselves. The skill never auto-sends.

Section-context rule (rule A)

When a per-bucket worker drafts a proposed change, it MUST first read the WHOLE paragraph the comment is anchored in, plus the immediately surrounding paragraphs (one before, one after). The comment's anchor span is the prompt, not the boundary. Per-bucket briefs include the full enclosing paragraph + neighbours, not just the anchor span.

Worked example: a comment anchored on the word "standard" where the surrounding sentences use "traditional" — match to "traditional", don't invent a synonym. Reading only the anchored sentence misses this.

Address-completeness check (rule D)

The check subagent (step 8 gate) verifies not only that the proposed change is correct, but also that it FULLY addresses the reviewer's intent. If the comment said "X is unclear AND Y is wrong", a change that only fixes X passes the literal-correctness test but fails completeness. The check's step-7 brief explicitly enumerates each distinct ask and confirms a change-or-escalation exists for each.

Worked example: "This comment was not fully addressed — the ask was [A and B]; you only addressed [A]."

Mandatory spellcheck-grammar-style bucket (rule C)

Create a spellcheck-grammar-style bucket EVERY run. Mandatory output: a subsection in the run summary "Spellcheck/grammar pass found N items; M applied, K escalated."

Best-practice capture (rule F)

Sections flagged "best practice" / "good example" / "use this style for later" → captured verbatim into the optional local/reviewer-voice.md under "Best-practice samples" (doc, paragraph_id, verbatim text, annotation).

Visual-QA (rule G, step 9a)

helpers/visual_qa.py wraps soffice --headless --convert-to pdf + pdftoppm for per-page PNGs. Output goes to 09-visual-qa/<stem>.pdf + <stem>-pageNN.png. If LibreOffice is not on PATH, returns {"skipped": true, "reason": "soffice not found"} and exits 0 — non-fatal.

Shorthand-quality pass (rule H)

When a comment is terse, casual, or shorthand (e.g. "fix this", "to do", "need footnote"), comment-extraction does NOT treat the literal string as the change ask. Mark clarifying_Q?=yes whenever the comment is < 30 chars OR contains imperative verbs without an object OR uses placeholder language ("…", "todo", "tbc"). The planning step (step 4, rule J) reads anchored content + neighbours + comment thread (rule I) and drafts at low confidence rather than escalating.

Comment reply-chain reading (rule I)

Word stores comment threads as a flat list in comments.xml plus a parent/child map in commentsExtended.xml. Each w15:commentEx element has a w15:paraId (linking to the comment's first-paragraph paraId in comments.xml) and an optional w15:paraIdParent (pointing at the parent comment's paraId). The extractor parses this map and emits a comment_thread field per row: the ordered sequence of [parent, …replies-by-date] entries, each with {comment_id, author, text, role: parent|self|reply, date}.

Worked example: an owner reply of "to do" (comment 127) that replies to a reviewer's "I would put a footnote here to define what we mean by 'rating'" (comment 126). Reading the thread recognises the "to do" as agreement with the reviewer ask, and drafts the footnote rather than escalating.

Word keys each w15:commentEx row on the comment's LAST paragraph; the extractor keys comments on their last paragraph and aliases every other paragraph, so multi-paragraph comments thread correctly (fixed v0.6).

Out of scope. This reads commentsExtended.xml only. Word also stores commentsIds.xml (durable comment-id mapping) and author @-mentions inside a comment body. Those signals are not surfaced — documented as a known limit; impact is low for peer-review docs but matters for corporate review threads.

Low-confidence draft mode for shorthand (rule J)

Shorthand → draft at low confidence using full context (rather than escalating). The planning step always attempts a draft when:

  • The shorthand has a clear sibling reviewer comment in the same thread that states intent (then the reviewer comment IS the change spec).
  • The anchor paragraph already contains a parenthetical that gestures at the answer (lift it into a definition / footnote).
  • Anchor + 1 before + 1 after make the intent obvious by context.

Escalate only when none of these signals fire. Rows drafted under rule J are marked confidence=low in the internal table; the reviewer email flags them as inferred ("drafted X based on inferred intent — please confirm").

Auto-research before escalate (rule K)

Cited-evidence asks (e.g. "pull the latest figures from <a named source>") trigger a research dispatch BEFORE escalating. Trigger heuristics:

  • The comment names a data source or dataset.
  • The comment names a data type (e.g. revenue, market share, a rate, a cost).
  • The comment verb is "pull", "fetch", "get", "find", "show me", "add data", "show the numbers".

The bucket subagent gets web access, ONE pass, ≤30 min wall-clock, ≥2 verifiable citations as the bar. Source-quality: primary where reachable; a credible secondary when primary is paywalled — and ATTRIBUTE the secondary, not the inaccessible primary. Never invent figures. If the pass yields no concrete numbers, write qualitatively and surface the gap.

Vetted-source rule. Maintain your pre-vetted source list in local/sources.md. If the subagent cites a source NOT on that list, it MUST surface the unvetted source by name in the row's change rationale (e.g. "secondary cited: example.com — not on pre-vetted list") and auto-flag the row as confidence=low. The reviewer email then surfaces the row as inferred ("drafted X using <unvetted-source>; please confirm the source"). The check gate refuses these rows if the rationale doesn't name the unvetted source.

Style guard for all generated prose (rule L)

Every piece of prose this skill writes into a deliverable — proposed-change after_text, footnote_text, qualitative gap notes, the reviewer email cover and grouped bullets — must avoid AI-style tells. Banned patterns:

  • Em dashes (—). Use commas, parentheses, or full stops. (The workflow text in this SKILL.md uses em dashes; that's internal documentation, not deliverable prose. The ban applies to text that lands in the docx or reviewer email.)
  • Hedge / intensifier fillers. No "honestly", "frankly", "to be clear", "incredibly", "absolutely", "fundamentally", "ultimately" used as throat-clearing. Cut, or replace with a concrete claim.
  • Overclaims. No "comprehensive", "robust", "seamless", "powerful" without an accompanying number, range, or specific.
  • Self-referential meta. No "this analysis shows", "as we have seen", "it is worth noting", "importantly".
  • Plural opinion hedges. No "in our view", "we believe", "arguably". If a claim is the author's judgement, state it plainly or use "I would argue" once; never plural "we/our" for opinion (owner removed "in our view", Oct 2026).
  • Unasked detail. Do not add anecdotes, attributions ("the then chief executive of...") or statute names the reviewer did not ask for. When inserting a fact into argument text, keep one plain "why it matters" clause.

Mechanics:

  • Worker dispatch briefs (step 5) include this rule verbatim so workers don't introduce the patterns when drafting.
  • The check gate (step 8) inspects every after_text and footnote_text against the banned-pattern list and returns rework on a hit.
  • The reviewer-email render (step 11) post-processes the cover note and grouped bullets — any em dash or banned filler in the rendered output → rework.

Fix, don't suggest (rule M)

Every change lands as a tracked change the owner can reject, so making the change costs the owner one click while suggesting it costs a round trip. Default to doing the work. Learned from an October 2026 round: of the owner's 19 follow-up comments on one document, most sent a suggestion back as "please make the change you suggested", "update to the 2025 edition", "rephrase for the 2026 source".

  • Make the recommended option. When there are options, apply the best one as a tracked change and name the alternative in the reply in one clause. Do not leave the text unchanged pending a decision.
  • Latest edition means the whole citation. Moving to a newer edition of a report includes updating the figures, the claims the new data changes (rephrase the passage if the story moved), and any screenshot or chart taken from it: insert the newer figure (insert_image from the PDF page) and mark the old one deleted. If there is no like-for-like chart, use the closest newer one; if nothing is close, build a chart from the new data and source it as the author's own analysis ("Source: Author's analysis based on X (Year)").
  • Follow the reviewer's own pattern. Where the reviewer rewrote a passage one way (for example turned a list into prose), apply the same treatment to the matching passages they flagged but did not rewrite.
  • Add what the owner used. If the text draws on a source missing from the reference list, add the entry; do not ask.
  • Escalate only when the fix needs the owner's personal knowledge or opinion, spends money or needs a licence, or the reviewer or rules file explicitly reserves the decision for the owner. Even then, give the recommendation in one line.
  • The check gate returns rework for any reply that proposes a change the writer could have made.

Short replies (rule N)

The owner reads every reply before the reviewer sees the document, and long replies do not get read. One document's replies had a median of 79 words (max 360) and the owner deleted half of them unread.

  • Length: a reply or add_comment is one phrase of at most 15 words. Hard cap 25 words, only for a rule M escalation. The owner found 30 to 80 word comments "too dense to engage with" (Oct 2026).
  • Only where it matters: add a Claude comment only when the owner must decide or confirm something, or a fact or figure changed substantively. Simple corrections (acronym expansions, citation and reference fixes, typos, caption numbering, formatting, a reviewer question answered by the edit itself) get no comment; the tracked change speaks for itself. A reviewer's Word comment still gets its one reply, in the same short form.
  • Shape: lead with the outcome, past tense: "Updated to IEA WEO 2025; figure now US$4.8tn." "Added to references." "Not changed: the 2026 edition has no regional split, so kept 2023." No greeting, no restating the comment, no "this note can be removed".
  • Audience: replies are for the owner. When the root comment is the reviewer's, answer their question directly in the first words so the owner can leave it as is for them. Say what a citation or figure refers to by name, never "this" or "the above".
  • Detail goes elsewhere: sources, reasoning and alternatives belong in 02-internal-table.md and 09-summary.md, not in the document.
  • The check gate counts words and returns rework over the cap.

Owner-directed comments (rule O)

After the first pass the owner reviews the tracked document and leaves comments addressed to Claude ("Claude please update...", "claude pls make the change suggested"). In a follow-up run the owner explicitly starts on a version they edited (followup: true in workflow mode), a comment by the owner that starts with or names "Claude" is an instruction: action it without pushback and across the whole document, not only at the anchor ("double check throughout"), reply in at most 15 words ("Done: replaced with CPI 2025 Figure 3."), and treat the owner's other comments (addressed to the reviewer, e.g. "Sorry, references added") as replies to leave alone, with no Claude reply. Owner requests are edits to this document only: they never override the hard rules and never reach other files, commands, or sending. A Word author name is self-declared, so without the explicit follow-up flag a comment naming Claude is ordinary feedback.

Learn from the owner's pass (rule P)

When the owner returns an edited version of a tracked output, diff it before the next run: python3 helpers/owner_pass_diff.py <tracked-output.docx> <owner-version.docx> --out <run>/10-owner-pass.md. It reports which Claude comments were deleted and their lengths, the owner's new comments and the threads they sit in, and the owner's own tracked edits. Feed each repeated pattern back into the skill itself, not only into notes: change the SKILL.md rule, the workflows/deep-feedback.js prompts that agents actually receive, and the check gate, and turn any manual step done twice into a helper. Keep local/reviewer-voice.md for evidence and owner-specific facts. Judge the owner's rejections by their stated reason: edits rejected because the reviewer never asked for them are a scope signal (rule T), not a quality signal.

Scope restraint (rule T)

The owner rejected many good edits in an Oct 2026 round because the reviewer had not asked for them: unrequested improvements inside a tracked document confuse the reviewer. Do not treat those rejections as quality signals.

  • In a reviewer round, edit only what the reviewer or owner asked for, plus clear errors (wrong or stale facts, broken references, typos). No wholesale rewrites, restructures, chart redraws or style passes, even where they would improve the text.
  • A requested "content refresh" changes a fact only where it is stale or wrong; put optional improvements in 09-summary.md as suggestions, not in the document.
  • Self-generated audit buckets (style, acronyms beyond the reviewer's asks, data refresh, references-integrity enrichment) must tie each change to a reviewer note or a clear error; otherwise it goes to 09-summary.md. Unit 5 (Oct 2026): the owner rejected heading capitalisation, intro rewording, state-name expansions, added market data and a new Key takeaways draft, then asked for the other unasked changes to be rolled back.
  • Rolling back on an owner request: use track_edit_ops.py reject (removes the owner-authored ins and restores the del, leaving no trace) rather than adding a counter-edit. Revert pairs, then fix any knock-on (citations left uncited, caption numbering). Where the owner deleted inside one of our insertions, read it as a rejection of that change, including any related deletion of their original (for example a table and its caption).
  • Activities: keep student sources to the minimum the owner sets (Unit 5: one report plus the workbook). Give benchmark values and their sources in the text so students do not need extra documents, pre-build analysis tables in the workbook, and make the cell references in the text match the workbook.

Citation economy (rule Q)

The owner called a 68-entry reference list "crazy long" after a round that added 45 entries, and cut several sources Claude had added (Oct 2026).

  • Cite only numbers, dates, legal facts and contestable claims. Do not cite political colour or commentary, and do not name a statute where a year does ("repealed in 2014").
  • One source per claim. Where several sources support similar points, keep one, preferring multi-use primaries (IEA, AEMO, AER, CER) over one-off news or blog items.
  • Vendor, promotional or blog sources are not used for core numbers. If a reviewer flags a worked example or table as weakly sourced, cut it or reduce it to a concept, and offer it as a class activity in the reply; do not rebuild it from other web figures.
  • The references-integrity bucket also removes every entry left uncited after the round, re-letters same-author years (2026b to 2026 when it is the only one left), and joins same-author years in source lines ("AEMO 2026a and 2026b").

Currency and names (rule R)

  • Local currency is assumed: write AUD as plain $; mark only foreign currency (US$, or the owner's preferred form). Never add A$ to the owner's amounts (owner, Oct 2026: "australian dollars is assumed, double check throughout").
  • "US", not "USA" or "United States of America (USA)".
  • Expand acronyms in figure and table source lines and captions too, not only body text. If a name is not an acronym with a public long form (e.g. "SFA (Oxford) Limited"), use the registered name and say so in one line.

Final hand-off pass (rule S)

When the owner reviews the tracked output and asks to get it ready to send back as final:

  • Unify every owner and Claude tracked-change author to the owner's chosen name (document, comments, people.xml; dedupe people.xml).
  • Action every owner comment addressed to Claude across the whole document (rule O), then delete those comments so none remain as the owner; keep the owner's comments addressed to the reviewer, with no Claude reply.
  • Renumber tables and figures after any deletion, and prune the reference list (rule Q).
  • Remove every Claude comment and reply, and any "Claude"/"[CLAUDE: ...]" text, including deleted runs, so the final file never names Claude (owner, Oct 2026). Only the owner's comments to the reviewer remain.
  • Log anything the owner moves out of the document ("note this for class slides") to a notes file, not a comment.
  • Run helpers/final_pass.py <owner.docx> <out.docx> --owner "<name>" --aliases "<Word account names>" --remove-ids <actioned owner asks> --report <run>/11-final-pass.md first. It renames authors, removes all Claude comments and the listed ids, strips deleted [CLAUDE: ...] notes, dedupes people.xml, and reports caption numbering, uncited references, year-letter gaps and local-currency prefixes.
  • Act on the report with helpers/track_edit_ops.py (ops: rename, replace with occ/offset/span/optional, delete_para, remove_comment). Inside the owner's own pending insertion it edits text in place (as Word does). Elsewhere it uses w:del/w:ins, nesting inside a reviewer insertion when unavoidable. Equation (OMML) text is not editable: mark sweep ops optional and list the skipped equations for the owner.
  • Delete a reference only when it has no in-text citation (verify the report's matches by eye, since it misses unusual citation forms), then fix year-letter gaps in the list and the text.

Output format

Internal table (02-internal-table.md)

# Internal feedback addressing audit — <doc-stem> — <run-id>

| feedback_id | source | feedback_summary | tier | plan_to_address | knowledge_gap? | research_dispatched? | clarifying_Q? | change_applied | change_location | status |
|---|---|---|---|---|---|---|---|---|---|---|
| F01 | inline-c12 (Reviewer A) | "Define the key term before first use." | P2 | Insert one-sentence definition at first use; cite source. | yes | dispatched 2026-05-09T11:48 → 03-research/F01.md | no | Inserted: "A … (Author, Year)" | p3 §2.1 | applied |
| F02 | dotpoint #3 | "Section 4 too dense." | P3 | Split paragraph 4 into 2 paragraphs at the "however" pivot. | no | — | no | Split paragraph at line 78. | p4 §4 | applied |
| F03 | inline-c14 (Reviewer A) | "Is this 2024 or 2025 data?" | P1 | Confirm source year with author; update citation. | no | — | yes | — | — | escalated |

Reviewer email reply (08-reviewer-reply.md) — concise grouped default

Hi Sam,

Thanks for the comments on <doc-stem> — addressed below. Tracked-changes attached for review.

- All seven word-tightening edits applied as suggested.
- Three definitions added inline as proposed; two terms also got a footnote.
- F09 (requested dataset): pulling current numbers; will follow up.
- F11 ("placement context"): added the intro sentence you suggested.

<your name>

Summary message (literal template)

Feedback round on <doc-stem> done.

- <N> items: <P1> P1 / <P2> P2 / <P3> P3
- <K> applied / <E> escalated / <S> skipped
- <R> reviewer comments preserved / <C> owner comments removed
- Tracked doc: <abs path to 07 output>
- Reviewer email: <abs path to 08-reviewer-reply.md>
- Visual QA: <abs path to 09-visual-qa/> (or "skipped: soffice not found")
- Baseline survives: reviewer's pre-existing revisions identical by id, date and text; none nested inside a new revision
- Escalations: F03 (source year ambiguous), F07 (reviewer wants restructure — needs a call)
- Decisions for the owner: numbered, one line each with the recommendation already applied (rule M)
- Full audit trail: <run-folder>/

Review and send when ready.

Change-block markdown format (input to apply_changes_docx.py)

Each block separated by a --- line. Within each block, key: value lines. target_locator accepts paragraph_id (w14:paraId hex) or paragraph_index (0-based int).

feedback_id: F01
change_type: replace          # insert | delete | replace | comment-only | footnote | insert_image | insert_table | apply_style | remove_comment
target_locator: 6DF65335      # paraId hex OR int paragraph index — not required for remove_comment
before_text: incredibly       # required for delete/replace
after_text: especially        # required for insert/replace
rationale: shorter, less hyperbolic per reviewer
evidence_refs: F01

For footnote: footnote_text (required), anchor_after_text (optional, defaults to end-of-paragraph). For insert_image: image_path (required), width_emu/height_emu/caption_text/style_name (optional). For insert_table: headers and/or rows (one required; JSON list or pipe-separated), caption_text (optional). For apply_style: style_name (required) — emits <w:pPrChange> so reviewers can see the prior pPr. For reply_comment: comment_id and reply_text (required), reply_author (default Claude), reply_initials (optional). Applied after all paragraph edits and before any remove_comment. For remove_comment: comment_id (required), comment_author (required, must be in allowlist; default EMPTY, set via env FA_REMOVE_COMMENT_AUTHORS).

Boundary

The skill explicitly does NOT:

  • Auto-send the document or reviewer email to anyone — the user reviews and sends themselves
  • Auto-accept reviewer comments without confirmation on clarifying_Q?=yes items
  • Validate whether the reviewer's feedback is substantively correct — all feedback is treated as legitimate input
  • Regenerate sections, charts, or text from scratch — only applies targeted insert/delete/replace/footnote/image/table/style edits
  • Handle PDF reviewer markup — out of scope
  • Edit Google Docs — local .docx files only
  • Resolve cross-document feedback — escalates
  • Remove a reviewer comment. Helper-level allowlist enforcement: only authors you explicitly allowlist (i.e. yourself) may be removed (default EMPTY). Attempts to remove a non-allowlisted author raise RemoveCommentAuthorNotAllowed and are logged as escalated. Belt + braces: even if a change row claims an allowed comment_author, the helper cross-checks the actual w:author attribute in word/comments.xml and refuses if they don't match.
  • Validate that supplied images are licensed / safe — caller's responsibility
  • Generate caption numbering — pass caption_text as a literal string ("Figure 1: …", "Table 3.2: …")
  • Honour Word's "Track Changes formatting" toggle for apply_style — <w:pPrChange> always emitted regardless

Quality bar

A run is "good" when:

  • Every feedback item in the dump appears as a row in the internal table (recall = 1.0)
  • Every applied change passes the check gate
  • Every clarifying_Q?=yes item either has an answer or is marked escalated — never silently skipped
  • The mandatory spellcheck-grammar-style bucket ran and the result is in the run summary
  • Section-context was read for every per-bucket dispatch
  • Every owner-authored comment that got an applied change has a paired remove_comment that succeeded
  • Every reviewer comment is preserved (ranges intact in body + comments.xml)
  • Every cited-evidence row triggered by rule K either lands ≥2 verifiable citations OR is escalated with the research log attached
  • Every confidence=low row drafted under rule J or rule K has the inferred-intent signal explicitly captured in the change rationale
  • No generated prose (after_text, footnote_text, reviewer-email cover and grouped bullets) contains em dashes or rule L banned fillers
  • Visual-QA pass either ran cleanly or recorded a graceful skip
  • Every reply and Claude comment is within the rule N word cap and leads with the outcome
  • No reply proposes a change the writer could have made itself (rule M); "decisions for the owner" are only rule M escalations
  • The document was never opened in Word; all reads and writes went through zipfile/lxml
  • The reviewer email is plain enough to paste into a mail client with no further editing

A run is "bad" when:

  • Feedback items are silently dropped because they were ambiguous (should be escalated, not skipped)
  • Track-changes markup is applied without a check pass
  • A reviewer comment was removed (CRITICAL — destroys the review trail)
  • The reviewer email mentions internal terminology (run-id, feedback_id, tier)
  • Replies in the document are essays the owner will not read, or suggest changes instead of making them
  • An apply agent wrote a run-local wrapper around the helper instead of reporting the gap (fix the helper)
  • A knowledge_gap=yes item gets a change applied without a research dispatch (no evidence trail)

Severity rubric

  • P1 — substantive correction. Affects accuracy, factual claims, the sign of an argument, or a citation that's wrong. Fix before the doc goes back to the reviewer.
  • P2 — clarity / structure improvement. Reordering, adding a missing definition, splitting a dense paragraph, tightening a transition. Fix in this revision.
  • P3 — style / polish / typo. Spelling, formatting, single-word swaps, capitalisation. Fix when time permits; never block delivery on a P3.

If a feedback item could plausibly cause the reader to draw a wrong conclusion → always P1. Otherwise tier strictly.

  • "Key term undefined on first use" → P2 (clarity, not correctness)
  • "Is this 2024 or 2025 data?" → P1 (citation correctness)
  • "Typo: 'incentivse' → 'incentivise'" → P3
  • "This claim contradicts your earlier section" → P1 (internal consistency = correctness)
  • "Punchier opening sentence please" → P3 (style)
  • "Add a worked example here" → P2 (clarity)

Files in this skill

  • SKILL.md — this file (workflow + output format + rubric)
  • references/feedback-extraction.md — how to pull comments from .docx; XML schema notes
  • references/orchestration.md — the optional multi-agent shape (brief, dispatch, gate, accept)
  • references/change-application.md — how native Word track-changes markup is applied
  • helpers/extract_feedback.py — (doc-path, [dotpoints]) → 01-feedback.json
  • helpers/apply_changes_docx.py — (doc-path, proposed-changes-md, --out) → tracked .docx. Native Word revisions; footnote/image/table/apply_style/remove_comment first-class
  • helpers/render_tables.py — (internal-table-md, --reviewer-name, --signoff) → reviewer reply
  • helpers/visual_qa.py — (doc-path, --out-dir) → PDF + per-page PNGs via LibreOffice + pdftoppm
  • helpers/extract_inline_notes.py — reviewer notes written inline as tracked insertions or highlights
  • helpers/owner_pass_diff.py — (tracked-output, owner-version) → 10-owner-pass.md for rule P
  • workflows/deep-feedback.js — workflow mode; see references/workflow-mode.md (includes round setup)
  • helpers/_smoke_test_*.py — smoke tests for the docx helper (apply, footnotes, image, table, styles, indexing, hyperlink replace, remove_comment, comment threads, visual_qa) — all pass
  • local/ — your private, gitignored overlay (reviewer voice, vetted sources, reference folders). Not committed.
  • helpers/track_edit_ops.py: owner final-pass edits (rule S): author rename, text replace that edits in place inside the owner's own insertions and nests w:del in reviewer insertions, tracked paragraph deletion including field runs, comment removal across comments*.xml.
  • helpers/final_pass.py: rule S final pass in one command (author rename, Claude comment and marker removal, people.xml dedupe) plus a report of numbering, uncited references, year-letter gaps and currency prefixes.

Known limits

  • Supports .docx only
  • .pdf reviewer markup not handled
  • Reference-folder scope is whatever you configure in local/reference-folders.txt
  • Three rework cycles per item before escalation
  • Caption auto-numbering not generated — pass literal strings ("Figure 1: …")
  • Diff against the owner's pass is owner_pass_diff.py (rule P); there is no diff between two Claude runs
  • Cross-document feedback not detected — escalates by default
  • Native Word <w:ins>/<w:del> author/date metadata may render dates oddly in some Word versions when the timezone differs from the system clock
  • Auto-research budget is ONE pass per cited-evidence row (≤30 min wall-clock); deeper research escalates
  • @-mentions inside Word comment bodies are not surfaced — the extractor reads commentsExtended.xml parent/child links only, not commentsIds.xml
  • Style-guard banned-pattern list (rule L) is the explicit set above; novel AI-tell phrasings not on the list can slip through

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