agentleFS
MozurokMozurok/fhorja.dev/.claude/skills/feature-library-scout/SKILL.md

feature-library-scout

Skill10 starsChanged 36 days agoMITView on GitHub

Research and recommend vetted libraries per feature problem (lists, camera, forms, keyboard, sheets), ranked by adoption signal, writing FEATURE_LIBRARIES.md from captured REFERENCES.md sources. Use when the stack is chosen and you want per-feature libraries vetted. Do not use to pick stack layers (use stack-recommend), check framework patterns (use stack-currency-check), synthesize captured sources (use external-research), or without a task (run task-init first). For more than 3 feature problems needing a deep sweep, use feature-library-scout-fleet.

The file

We split this skill into the rules it gives an agent

10 rules. About 0 are common, 3 are distinctive, and 7 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈3

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 7

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Read these sections in WORKFLOW_OPERATING_SYSTEM.md first:

    line 37
  2. Distinctive:

    Read additional sections only when relevant to this command's role.

    line 45
  3. Distinctive:

    Do not implement production code.

    line 69
  4. Very specific:

    Snapshot freshness: always record Last refreshed: as today's date in YYYY-MM-DD.

    line 73
  5. Distinctive:

    Stable preference: prefer stable releases. When a pre-release is genuinely the community standard for a problem, you may recommend it, but …

    line 74
  6. Very specific:

    Treat task-memory write policy per WORKFLOW_OPERATING_SYSTEM.md: write the file and mark it APPLIED.

    line 78
  7. Very specific:

    Never launder recollection into a design.

    line 106
  8. Very specific:

    Follow ## Global output contract in WORKFLOW_OPERATING_SYSTEM.md for APPLIED / PROPOSED / SKIP rules.

    line 129
  9. Very specific:

    Every recommended library traces to a source in REFERENCES.md (pre-existing or newly captured this run with an explicit per-entry patch).

    line 138
  10. Very specific:

    Before declaring this output done, confirm it satisfies the shared Definition of done (command outputs) and Gate conditions in …

    line 145

≈ “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

Output contract, in brief. This body is over the per-skill re-injection cap, so after a compaction the sections below are truncated away while this summary survives. They remain authoritative in full; re-read this file before emitting if you need them.

  • Standard output layout (required): Produce the command output using this structure (English only):
  • Artifact changes: Follow ## Global output contract in WORKFLOW_OPERATING_SYSTEM.md for APPLIED / PROPOSED / SKIP rules. Every listed file...
  • Command transcript: Brief audit trail (max 4 lines; max 3 in no-op runs with NO_OP_TRACE).
  • Handoff: Use the adaptive ending format of WORKFLOW_OPERATING_SYSTEM.md ## Global output contract. Every Handoff is one fenced text b...
  • Definition of done (command output): The proposed FEATURE_LIBRARIES.md includes the canonical metadata (Last refreshed, feature set, sources consulted, angles cove...

Act as a senior/staff engineering ecosystem advisor with deep knowledge of production-grade libraries for the active project's stack.

Goal: For a chosen stack and a product's feature set, discover and vet the community-validated best-in-class library for each concrete feature problem, and persist the result as FEATURE_LIBRARIES.md inside the active task folder. Each pick is ranked by adoption signal, grounded in a captured source, and framed as optional guidance the maintainer can adopt, defer, or reject.

This command operates one granularity below stack-recommend. stack-recommend picks stack layers (framework, database, auth, hosting). This command picks the per-feature libraries inside that stack (the large-list renderer, the camera library, the bottom sheet, the keyboard handler). It never re-picks stack layers.

This command is opt-in. Run it when the stack is set and the value is in surfacing the canonical per-feature options with adoption evidence, at project bootstrap or mid-project on an existing codebase.

Mandatory context bootstrap (before any output):

  • Read these sections in WORKFLOW_OPERATING_SYSTEM.md first:
    • ## LLM execution contract
    • ## Editor mode policy (mode definitions only; the tool mapping table is lazy-loaded in wos/editor-mode-mappings.md and needed only for non-Claude-Code tools)
    • ## Global output contract (including Adaptive handoff and Mode selection rule)
    • ## Cross-cutting workflow guardrails
  • Bootstrap tiers: the light-weight commands (branch-commit, what-next, where-we-at, slice-closure, compact-task-memory) plus the high-frequency implement-approved-slice and sync-task-state (v3 wave1 item D) read the four sections above with two subsections of ## Cross-cutting workflow guardrails skipped: ### External web access (centralized) and ### Sequencing heuristics (by phase). Everything else is read at every tier, including ### Proposal vs approved persistence and ### Substrate peer ownership (per ADR-0034), since all seven write substrate sections and reason about PROPOSED (state-reconcile stays on the full tier for cross-artifact judgment). The full tier is measured at 12109 tokens, the four always-read sections combined; the two skipped subsections are 1,034 of those (measured 2026-09-28), so the reduced tier is about 11,074. The leaf-reviewer tier (verify-against-rubric, ADR-0226) reads only ## Global output contract, measured at 5215 tokens, plus its rubric.
  • Session bootstrap reuse (skip-if-unchanged; v3 wave1 item D): WHEN this conversation already read the bootstrap sections in an earlier turn still VISIBLE in the context window AND WORKFLOW_OPERATING_SYSTEM.md has not changed since, the command MAY skip the re-read and cite the earlier one, emitting one Command transcript line: Bootstrap: reusing turn <N> read, WOS unchanged. Scoped exception to the context-budget re-fetch rule (wos/context-budget.md, "The re-fetch rule"), because these sections are one large, static, byte-identical read repeated every turn; every other tool result still re-fetches. VISIBLE means the section text itself is still present and quotable now, not merely that a record of the earlier read exists: a harness that clears a tool result while the record survives (ADR-0114) has not satisfied VISIBLE, and self-declared memory after a compaction never qualifies. A stateless-per-turn harness is excluded. The transcript line is mandatory; a silent skip is invalid output.
  • Resolving the spec and wos/<topic>.md: canonical repository FIRST. Otherwise use active-adapter docs: ~/.claude/workflow-docs (CLAUDE_WORKFLOW_DOCS_DIR), ~/.cursor/workflow-docs (WORKFLOW_DOCS_DIR; project .cursor/workflow-docs on project installs), ~/.codex/workflow-docs (CODEX_WORKFLOW_DOCS_DIR), or <kimi-home>/workflow-docs (KIMI_WORKFLOW_DOCS_DIR). Nonempty overrides win. Kimi home: KIMI_CODE_HOME, else existing ~/.kimi-code, else existing ~/.kimi, default ~/.kimi-code. Use one root for both paths; try other adapters if absent or unknown. Report resolved root, fallback to other adapters, or missing mandatory context in ### Command transcript. Installed snapshots refresh and prune retired topics only on sync.
  • Read additional sections only when relevant to this command's role.
  • Align all routing recommendations and next-command suggestions with the current command set.
  • Official next-command names only: recommendations, including Run now, use registered names from commands/<name>.md or commands/<name>/SKILL.md; installed mode uses the available Fhorja command or skill inventory. No invented aliases. Run now: none with Mode: N/A ends only if no honest next step exists, defined under ### Official command names (routing integrity) (ADR-0126). Required inputs:
  • active task folder path
  • the chosen stack (from SOURCE_OF_TRUTH.md, STACK_RECOMMENDATION.md, or PROJECT_CHARTER.md; do not guess the stack)
  • the product's feature set, or enough description to derive the concrete feature problems (lists, camera, forms, keyboard, sheets, navigation, gestures, animation, offline, payments-ui, and so on)
  • optional: for an existing project, the product repository path (to scan current dependencies and usage)
  • optional: user-provided reference links (specific libraries or articles to weigh)
  • optional: refresh flag (refresh to regenerate an existing FEATURE_LIBRARIES.md; default is NO_OP_TRACE if a non-stale file already exists)

External web access:

  • This command is in the authorized-command set in the spec ## Cross-cutting workflow guardrails ### External web access (centralized), scoped to per-feature library discovery and adoption-signal gathering. The Research methodology below fetches package-registry pages (npm, PyPI, crates.io, Go module index, Maven Central, etc. per the stack), source-host repositories (GitHub, GitLab), official docs, and AAA-company engineering posts. It MUST funnel every cited source into REFERENCES.md (capture-references entry format, deduplicated by URL), so the fetch is indistinguishable in the audit trail from a capture-references run.

Research methodology (five angles):

  • Step 1: Derive feature problems. From the product feature set (and a scan of the product repository when provided), list the concrete feature problems this product has. Ground the list in the actual product, not a generic checklist.
  • Step 2: Internet. For each problem, find recent (within ~12 months) best-practice articles, official docs for the latest version, and comparison posts from reputable sources.
  • Step 3: Product repository. When a repo path is provided, scan it for the feature set and existing dependencies: what is already used, what is missing, and any version or peer-dependency conflicts a new library would hit. This angle is an internal read, not a web fetch.
  • Step 4: Package registry. For each candidate library, gather adoption signals from the stack's registry (npm for JS/TS, PyPI for Python, crates.io for Rust, the Go module index, Maven Central for JVM, etc.): download or install volume, dependent count, release cadence, last-release date, and license.
  • Step 5: AAA-company practices. Research what teams known for engineering excellence ship for this feature problem (for example Shopify, Meta, Discord, Microsoft), via engineering blogs, public stack disclosures, or their open-source repositories. Cite the specific source.
  • Step 6: Reference repos. Find well-regarded repositories solving the same problem and read their dependency choices; a library many strong repos depend on is a high-signal pick. WHERE repomix is present, resolve its already-installed executable and invoke <repomix-executable> --remote <owner/repo> --include "package.json,requirements.txt,Cargo.toml,go.mod,pom.xml", quoting the executable path; this clones the remote into temporary storage and packs the selected manifests. Capture the result into REFERENCES.md. WHILE no installed executable resolves, fall back to a WebFetch of the raw manifest URL. Presence-gated, no install or version refresh (ADR-0027); on a failure (rate limit, private repo) record [not fetched: reason] and never guess.
  • Step 7: Synthesize. Per feature problem, produce a ranked candidate table, a recommended pick with a one-line reason, alternatives with when to prefer them, and the sources.

Operating rules:

  • Do not implement production code.
  • Boundary (per ADR-0045, D-Boundary): pick per-feature libraries only. Do not re-pick stack layers; that is stack-recommend. When the feature set implies a missing stack-layer decision, note it and route to stack-recommend rather than deciding it here.
  • Grounding: every recommended library must cite at least one source captured in REFERENCES.md. Never fabricate adoption numbers. When a signal cannot be fetched (rate limit, private repo, missing data), write [not fetched] in that cell rather than a guess, and note any rate-limit truncation in the artifact's Snapshot metadata. Silent truncation is invalid.
  • Optional guidance (per ADR-0045, D-F): label picks as optional guidance the maintainer may adopt or decline. Never mark a library as mandatory.
  • Snapshot freshness: always record Last refreshed: as today's date in YYYY-MM-DD. Adoption signals are a dated snapshot; state that they are directional, not durable.
  • Stable preference: prefer stable releases. When a pre-release is genuinely the community standard for a problem, you may recommend it, but flag the pre-release status explicitly.
  • Capture sources: funnel every cited source into project-level REFERENCES.md using the capture-references format, deduplicated by URL.
  • Mode C eligibility (parallel fanout, per ADR-0032): when the derived feature-problem list has more than 3 problems AND each warrants a deep multi-angle read, recommend feature-library-scout-fleet (one worker per feature problem) instead of an inline sweep. Inline is cleaner for 3 or fewer problems. Tie-break when the count is over 3: prefer routing to the fleet (do NOT produce the full inline artifact); produce the inline artifact only on explicit user override, and say which path you took in the Handoff.
  • Re-run policy: regeneration replaces FEATURE_LIBRARIES.md in full; do not partial-merge. Handwritten notes that must survive refresh belong in DECISIONS.md or TASK_STATE.md.
  • Treat task-memory write policy per WORKFLOW_OPERATING_SYSTEM.md: write the file and mark it APPLIED.
  • Handoff: end with the adaptive ### Handoff block per WORKFLOW_OPERATING_SYSTEM.md ## Global output contract (Mode A compact or Mode B full). Default next command: decision-interview (a pick needs the maintainer's ruling) or implementation-plan (the picks are clear and planning can proceed).

Output format:

  • Write FEATURE_LIBRARIES.md following templates/FEATURE_LIBRARIES.template.md: Snapshot metadata, How to read this, Feature problems covered, one Per-problem recommendations block per problem (candidate table with the adoption-signal columns, recommended pick, alternatives, sources), Cross-cutting techniques, Adoption-signal legend, Open questions, Sources, Cross-references. Omit any section with no content for this product.

Task repository files to update:

  • projects/<client>__<project>/active/YYYY-MM-DD_<task-slug>/FEATURE_LIBRARIES.md (create or fully regenerate; never partial-merge)
  • projects/<client>__<project>/active/YYYY-MM-DD_<task-slug>/SOURCE_OF_TRUTH.md (append-only: add a single ## Feature libraries section pointing to ./FEATURE_LIBRARIES.md if not already present)
  • projects/<client>__<project>/REFERENCES.md (append newly captured sources per capture-references format; deduplicated by URL)

Required output:

  1. Resolved active task path.
  2. The chosen stack and the product feature set (echoed back; if either is unclear, ask one targeted clarifying question first and stop).
  3. Feature problems derived, angles covered (mark any angle skipped and why), and number of sources captured.
  4. Whether this is a create or a refresh of FEATURE_LIBRARIES.md, and (on refresh) a one-line drift summary versus the prior snapshot.
  5. Exact content for FEATURE_LIBRARIES.md using the canonical template.
  6. Exact patch to SOURCE_OF_TRUTH.md adding the ## Feature libraries cross-link, or SKIP if already present.
  7. Exact patch to REFERENCES.md for newly-captured sources, or SKIP if none.
  8. Recommended next command (must exist as commands/<name>.md or commands/<name>/SKILL.md; verify against directory listing before output). In installed mode use the available Fhorja inventory.
  9. Recommended editor mode.
  10. Why that is the correct next step.

Reference grounding (design gate)

Reference grounding (design gate, ADR-0043 D-3). This command does not edit code, so it does NOT refuse. It marks. Every external contract this document NAMES as a choice, a recommendation, or a thing to build against is either grounded in a captured reference or carried forward as visibly unproven.

  1. Detect. Any external library, SDK, API, protocol, or vendor behavior this document names as a decision input: a version to adopt, an endpoint shape to build against, a rate limit to design for, a capability to depend on.
  2. Ground or mark. WHEN the contract is present in projects/<client>__<project>/REFERENCES.md, read that entry and cite it inline where the decision is stated. WHEN it is absent, keep the recommendation and append [ungrounded: <contract>] to that line. Do NOT drop the recommendation, and do NOT silently assert the behavior: an unproven choice a human can see beats a confident one they cannot.
  3. Never launder recollection into a design. A version number, a parameter name, or a rate limit recalled from training is outside the grounded set (wos/active-epistemic-humility.md). It may appear as a proposal, marked, never as a stated fact.
  4. Route, do not block. WHEN two or more contracts are ungrounded, name capture-references in the handoff as the next command. This gate exists so implement-approved-slice is not the first place the gap is discovered, at which point the plan is already approved and the execution gate refuses mid-slice.
  5. Carry the marks forward. Every [ungrounded: ...] marker SHALL survive into the persisted artifact. A design doc that resolved its own markers by deleting them has defeated the gate.

Claim grounding (active epistemic humility)

Claim grounding (active epistemic humility). This block governs what you may assert and how you record it. It is keyed to the substrate section you are writing, not to which command is running, and it is INERT on any output that writes none of the claim-bearing sections below. Full contract and rationale: wos/active-epistemic-humility.md.

  1. When this applies. This block fires ONLY while you are writing a claim-bearing substrate section: TASK_STATE.md ## Current known facts, ## Risks to watch, ## Observations, ## Active files in scope, ## Canonical decisions; DECISIONS.md ## Locked decisions; IMPLEMENTATION_PLAN.md ## Current gaps, ## Risks and mitigations; IMPACT_ANALYSIS.md; EXTERNAL_RESEARCH.md; REFERENCES.md; or any section whose content is a statement a later command or a human decision will act on. WHEN your output writes none of these, this block imposes nothing: skip it and proceed. This is the D-13 inert clause; a fully-grounded or claim-free output pays nothing.
  2. The unit is the load-bearing claim. A load-bearing claim is one a downstream command or a human decision consumes. A passing aside is not load-bearing; a statement someone will act on is. Apply the rest of this block per load-bearing claim, not per sentence.
  3. Ground it or abstain. Before you assert a load-bearing claim, trace it to the enumerable grounded set: a captured REFERENCES.md entry, a file read in this session, command output actually seen, or a passing deterministic gate. A claim supported only by model memory is OUTSIDE the grounded set, including when you are right, because that support is not observable. WHEN a load-bearing claim falls outside the set, do NOT assert it: either investigate until it is grounded, or abstain per rule 6.
  4. Status records provenance, never confidence. WHERE you attach an epistemic status to a claim, the status names WHERE THE CLAIM CAME FROM: a REFERENCES.md entry title, a file path plus line, or the gate output it came from. It SHALL NOT express a degree of certainty. Do NOT add a confidence field, a numeric threshold, or a self-assessment prompt anywhere; a self-reported confidence signal is not a usable control signal (wos/active-epistemic-humility.md Part 1.3). A status whose referent slot is empty is read as UNKNOWN, not as a weak yes.
  5. Persisted claims carry the status; chat-only claims carry it when they route. Every load-bearing claim you write into a task-memory artifact carries its provenance referent, and that referent travels with the claim so a later command reads it too; do not drop it at the write boundary. A load-bearing claim that appears only in a chat-turn output carries a status only when it crosses the grounding boundary and triggers a route (an abstention, an escalation).
  6. Abstain as a routed continuation, never a bare refusal. WHEN you abstain, name the specific investigation that would settle the question AND route to the command that runs it (capture-references, code-locate, incident-triage, or the fitting one). A withholding that stalls the work is invalid output. Abstention is distinct from NO_OP: NO_OP means there is no work to do; abstention means there is work and the grounding to do it is missing.
  7. An unfired gate is not evidence. The absence of a fired check does not mean grounding existed. Do not read silence here as a pass.

Standard output layout (required)

Produce the command output using this structure (English only):

Artifact changes

Follow ## Global output contract in WORKFLOW_OPERATING_SYSTEM.md for APPLIED / PROPOSED / SKIP rules. Every listed file carries one of those three tokens, in Lean output too; a prose verb like "written" is not a label.

Command transcript

Brief audit trail (max 4 lines; max 3 in no-op runs with NO_OP_TRACE).

Handoff

Use the adaptive ending format of WORKFLOW_OPERATING_SYSTEM.md ## Global output contract. Every Handoff is one fenced text block with all four lines, Run now:, Mode:, Work complexity: and Reason:, on a stop and on a refusal too; the terminal form is Run now: none with Mode: N/A. A new Mode:, a model or a fresh session is never a stop, an offered choice is one, and Reason: names a role, never a model.

Definition of done (command output)

  • The proposed FEATURE_LIBRARIES.md includes the canonical metadata (Last refreshed, feature set, sources consulted, angles covered, signal freshness), one per-problem block per derived feature problem with the adoption-signal columns, a recommended pick and alternatives per problem, and the adoption-signal legend.
  • Every recommended library traces to a source in REFERENCES.md (pre-existing or newly captured this run with an explicit per-entry patch). Unsourced picks or fabricated adoption numbers are invalid output.
  • Signals that could not be fetched are marked [not fetched], not guessed; any rate-limit truncation is noted in Snapshot metadata.
  • Picks are framed as optional guidance; none is marked mandatory (D-F).
  • The boundary with stack-recommend is respected: no stack-layer is re-picked here.
  • ### Artifact changes marks FEATURE_LIBRARIES.md as APPLIED.
  • The basename in the Run now: line corresponds to a real file in commands/<name>.md or commands/<name>/SKILL.md. In installed mode use the available Fhorja inventory.
  • Output ends with a complete ### Handoff block per the adaptive format in WORKFLOW_OPERATING_SYSTEM.md ## Global output contract.
  • Before declaring this output done, confirm it satisfies the shared Definition of done (command outputs) and Gate conditions in WORKFLOW_OPERATING_SYSTEM.md.

Quality bar: Optimize for adoption-signal accuracy (real numbers, dated, never fabricated), source traceability (every pick cites a captured source), the right granularity (per-feature libraries, not stack layers), and actionability (the next command can consume the shortlist without re-researching). Surface the strong options the maintainer should know, even the ones this project will not adopt.

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