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/.
1 other project uses a version of this.
Adopted by
Most recently taken up by
- markbaindesign/bain-studiotheir own version, first seen Jul 22, 2026
Other versions1 project uses a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 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.
- athenaSkill
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
- Distinctive: line 22
No PRD or code changes until the session's customer request is captured verbatim (redact secrets):
- Very specific: line 40
If the newest CR is not reflected in docs/PRD.md, update the PRD first.
- Distinctive: line 49
Run the repo's checks (tests / lint / typecheck / build).
- Very specific: line 53
Update tasks.md: completed tasks to DONE with timestamp.
≈ “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.
Files
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.mdsections 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 Contextmemory 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 hasdocs/progress.txt? Seereferences/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>
EOFReturns 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>
EOF3) 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). Ensuredocs/specs/<FEATURE_ID>/spec.mdandtasks.mdexist (copy fromtemplates/). - Traceability is mandatory: FRs have stable IDs and
Sources:; acceptance scenarios haveVerifies: FR-...; tasks haveImplements: 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 viaadd-note, orpending mergeif 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)
| Need | Command |
| Session-open context | owl context |
| Append request / decision / session note | owl add-request, owl add-decision, owl add-note |
| Read one entry by ID | owl show <ID> (CR-, D-, or FR-) |
| Trace a requirement to sources and commits | owl why <FR-...> |
| Feature summary / history search | owl retrieve <id>, owl search <keyword> |
| Archive a finished feature | owl archive <id> |
| Keep the PRD lean | owl prune-prd (archives link lists + closed backlog lines) |
| Rebuild index / refresh memory | owl 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— creatingdocs/in a new or adopted repo; git-history bootstrap; migrating offprogress.txt(owl migrate)references/commits.md— staging guardrails, docs-only mode, commit message formatreferences/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.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

