Skill Library Mission

SkillAI & models

Build a project skill library in .claude/skills/ via discovery, parallel authoring, and review. Use when packaging tribal knowledge. Do not use for one skill.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Skill Library Mission skill

What this skill tells your AI

The instructions your AI receives, as published by athola/claude-night-market in plugins/attune/skills/skill-library-mission/SKILL.md and read by ahel’s review.

Overview

A retiring distinguished fellow's final task: package everything the project knows into a skill library under .claude/skills/, so that cheaper sessions and newer engineers can carry the project forward at the same standard. This skill turns that one-off exercise into a repeatable mission with three gated phases: discover, author, review.

The mission produced its first library in this repository on 2026-07-02 (15 skills, mission skill-library-2026-07-02). The generalized dispatch prompt distilled from that run is preserved verbatim in references/mission-prompt.md.

When To Use

  • A repository has deep tribal knowledge and no .claude/skills/ library, and future sessions (human or model) must operate without the current expert.
  • An existing project library has drifted and needs a full re-discovery and re-review pass.
  • Onboarding cost is high: the same questions get re-answered and the same dead ends get re-fought across sessions.

When NOT To Use

SituationUse instead
Authoring or improving one skillSkill(abstract:skill-authoring)
Skills shipped inside a pluginSkill(plugin-dev:skill-development)
Auditing existing skills onlySkill(abstract:skills-eval)
Full project lifecycle (code, not knowledge)Skill(attune:mission-orchestrator)

Mission Shape

Run as an attune mission with custom phases so the run survives interruption and records user directives:

{
  "mission_id": "skill-library-YYYY-MM-DD",
  "type": "custom",
  "phases": ["discover", "author", "review", "report"],
  "artifacts": { "library_root": ".claude/skills/" }
}

Save this to .attune/mission-state.json, advance current_phase at each gate, and record every user decision and override in decisions / directive_overrides. A later session must be able to resume from the state file alone.

Phase 1: Discover

No authoring happens in this phase. Investigate like an incoming principal engineer:

  • README, manifest, contributor docs
  • Build system and how tests actually run (not how docs claim)
  • CI config and quality gates
  • Git history: what changed, what got reverted, what stalled
  • TODO/FIXME hotspots and issue-shaped artifacts
  • Generated-data, deploy, and artifact conventions
  • Any project memory available (discussions, ADRs, journals)

Then ask the user at most five questions, only for what the repo cannot tell you. The canonical five: the hardest live problem, unwritten discipline rules, the audience and what it lacks, the most expensive past failures, and what "beyond state of the art" means here. Fold the answers into every later phase.

Phase 2: Author

workflows/skill-library.js runs authoring and review as one pipeline, so each skill's review starts when that skill is written rather than when the slowest one is. It runs only when asked for, and it returns review findings instead of applying them, because fixing edits files that already exist. Without it, dispatch by hand:

Dispatch one authoring agent per skill, in parallel, following the taxonomy in modules/taxonomy.md (adapt it: merge thin categories, split deep ones, add domain categories). Aim for 10 to 16 skills. Every agent prompt embeds the rules in modules/authoring-rules.md; the non-negotiables are ground-truth-only claims, a "Provenance and maintenance" section per skill, and a write fence limiting agents to .claude/skills/.

Phase 3: Review

After all skills exist, run the three-reviewer-plus-fixer protocol in modules/review-protocol.md: factual, doctrine, and usability lenses in parallel, then one fixer applying blocking and important findings. Finish with the report: skill inventory with one-line descriptions, what was spot-checked, and what remains uncertain.

Red Flags

Stop if you catch yourself thinking any of these:

ThoughtReality
"The repo is small, skip discovery"Discovery is where the five questions come from. Run it.
"I know this codebase, skip verification"Ground truth only. Wrong runbooks are worse than none.
"The library looks complete, skip review"Authoring agents cannot see each other's contradictions.
"This claim is probably still true"Date-stamp it and add a re-verification command.

Exit Criteria

  • .attune/mission-state.json exists with the custom phase list and reaches report with all prior phases completed.
  • .claude/skills/ contains 10 to 16 skill directories, each with a SKILL.md whose frontmatter has name and a trigger-rich description.
  • Every skill ends with a "Provenance and maintenance" section containing one-line re-verification commands.
  • All three review lenses ran and every blocking or important finding is either applied or skipped with a recorded reason.
  • The final report lists the inventory, spot-check evidence, and remaining uncertainties.

Provenance and Maintenance

  • Origin: mission skill-library-2026-07-02 in claude-night-market; generalized prompt captured 2026-07-03.
  • Verify the reference prompt still matches this skill's phases: rg -c "Phase" plugins/attune/skills/skill-library-mission/references/mission-prompt.md
  • Verify the first library still exists where this skill claims: ls .claude/skills/ | head -5

Signals

GitHub stars
337
Forks
34
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
skill-library-mission
Source
github.com/athola/claude-night-market