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taylorparsonstaylorparsons/athena-skill/SKILL.md

athena

Skill2 starsChanged 7 months agoMITView on GitHub

PRD-driven delivery loop with a token-lean audit trail (requests → decisions → specs → tasks → commits). All docs/ log access goes through ./scripts/owl. Use for any feature, bug fix, or change in a repo using ATHENA docs/.

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    1. markbaindesign/bain-studio★ 0same name

    How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.

  • In this repositoryOne other file it gives its agents.

The file

We split this skill into the rules it gives an agent

4 rules. About 0 are common, 2 are distinctive, and 2 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈2

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 2

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    No PRD or code changes until the session's customer request is captured verbatim (redact secrets):

    line 22
  2. Very specific:

    If the newest CR is not reflected in docs/PRD.md, update the PRD first.

    line 40
  3. Distinctive:

    Run the repo's checks (tests / lint / typecheck / build).

    line 49
  4. Very specific:

    Update tasks.md: completed tasks to DONE with timestamp.

    line 53

≈ “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

ATHENA Loop

The audit trail lives in docs/ but is script-gated: never Read docs/requests.md, docs/decisions.md, docs/athena-index.md, or archived specs — all access goes through ./scripts/owl (deterministic, zero-token). You may Read/Edit directly only:

  • the active feature's docs/specs/<FEATURE_ID>/spec.md, tasks.md, notes.md
  • the docs/PRD.md sections you are changing — never the full file: locate the section with grep, read only that line range; one requirement → owl show <FR-ID>
  • docs/TRACEABILITY.md

1) Open the session

  • Claude Code: if the Athena Active Context memory is present, use it and skip the next step.
  • Otherwise run ./scripts/owl context — prints active feature, goal, IN PROGRESS/NEXT, recent CR/D IDs, and the latest request.
  • Repo has no docs/ audit files, or still has docs/progress.txt? See references/setup.md.
  • Summarize the session goal in one sentence before changing anything.

2) Capture input first

No PRD or code changes until the session's customer request is captured verbatim (redact secrets):

./scripts/owl add-request <<'EOF'
<verbatim customer request>
EOF

Returns the CR-... ID. No explicit request this session? Ask the user for one.

Whenever you interpret ambiguity, choose tradeoffs, or change scope:

./scripts/owl add-decision --cr <CR-ID> --prd "<PRD section>" <<'EOF'
Decision: <what>
Rationale: <why>
Alternatives considered: <rejected options and why>
EOF

3) Reflect in PRD and spec

  • If the newest CR is not reflected in docs/PRD.md, update the PRD first. Tag every added or changed requirement (Sources: CR-...; D-...) — at least one CR, plus a D whenever interpretation was needed.
  • Establish a FEATURE_ID (YYYYMMDD-short-name; ask if unclear). Ensure docs/specs/<FEATURE_ID>/spec.md and tasks.md exist (copy from templates/).
  • Traceability is mandatory: FRs have stable IDs and Sources:; acceptance scenarios have Verifies: FR-...; tasks have Implements: FR-.... Fix broken links before writing code.

4) Execute one small task

  • Take the next task from the active tasks.md; move it under IN PROGRESS (keep IN PROGRESS ≤ 1) and tag it (Skills: athena[, ...]).
  • Make the smallest change that satisfies the PRD. No invented requirements, no drive-by refactors, no deletions unless the task requires them (record deletions in notes).
  • PRD unclear? Don't guess — record the question via owl add-note, then pick the smallest unambiguous task or stop and ask.
  • Run the repo's checks (tests / lint / typecheck / build). If they can't run, record why in notes.

5) Close the loop

  • Update tasks.md: completed tasks to DONE with timestamp; newly discovered follow-ups into NEXT.
  • Append session notes:

    ./scripts/owl add-note --feature <FEATURE_ID> --goal "<goal>" --skills "athena[, ...]" <<'EOF'
    - Commands run: <cmd> -> <result>
    - Decisions: <D-IDs or none>
    - Risks / open questions: <items>
    EOF
  • Reconcile before finalizing a task and after any merge: spec Status: matches reality; PRD backlog updated (shipped items cite their CR and one concrete evidence path); merge commit hash recorded via add-note, or pending merge if not merged yet.
  • Git repos: commit when a task reaches DONE — python3 scripts/commit_with_traceability.py --feature <FEATURE_ID> --task <T-...> --summary "<what>" --cr <CR-...> [--decisions <D-...>]. Staging modes and message format: references/commits.md. Never push or open PRs unless the user explicitly asks.
  • Claude Code: refresh memory with ./scripts/owl write-memory.

Owl commands (the KB gateway)

NeedCommand
Session-open contextowl context
Append request / decision / session noteowl add-request, owl add-decision, owl add-note
Read one entry by IDowl show <ID> (CR-, D-, or FR-)
Trace a requirement to sources and commitsowl why <FR-...>
Feature summary / history searchowl retrieve <id>, owl search <keyword>
Archive a finished featureowl archive <id>
Keep the PRD leanowl prune-prd (archives link lists + closed backlog lines)
Rebuild index / refresh memoryowl update-index, owl write-memory

A feature is done when tasks.md has nothing under NEXT or IN PROGRESS, spec.md says Status: Done, and the PRD shows it shipped — then run owl archive <id>. In Claude Code you may instead dispatch the Owl sub-agent (.claude/agents/owl-of-athena.md) when you want a narrative summary; in Codex just run the script.

References (load only when needed)

  • references/setup.md — creating docs/ in a new or adopted repo; git-history bootstrap; migrating off progress.txt (owl migrate)
  • references/commits.md — staging guardrails, docs-only mode, commit message format
  • references/recovery.md — restoring context after a reset

UI/UX work in a feature? Offer the daisy skill. Explicit plan requests → create-plan skill, then resume this loop.

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