Shapes turns action-first: action leads, steps numbered, state restated. Use for ADHD-friendly output. Do not use to trim tokens; use response-compression.
中文简介正在准备中。当前显示原文说明。
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.
中文简介正在准备中。当前显示原文说明。
实测评分 未实测
查看安装方法安装前可以查看交给 AI 代理的指令内容。
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.
.claude/skills/
library, and future sessions (human or model) must operate without
the current expert.| Situation | Use instead |
|---|---|
| Authoring or improving one skill | Skill(abstract:skill-authoring) |
| Skills shipped inside a plugin | Skill(plugin-dev:skill-development) |
| Auditing existing skills only | Skill(abstract:skills-eval) |
| Full project lifecycle (code, not knowledge) | Skill(attune:mission-orchestrator) |
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.
No authoring happens in this phase. Investigate like an incoming principal engineer:
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.
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/.
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.
.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.skill-library-2026-07-02 in claude-night-market;
generalized prompt captured 2026-07-03.rg -c "Phase" plugins/attune/skills/skill-library-mission/references/mission-prompt.mdls .claude/skills/ | head -5还没有评价。欢迎分享你的使用感受。
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Shapes turns action-first: action leads, steps numbered, state restated. Use for ADHD-friendly output. Do not use to trim tokens; use response-compression.
中文简介正在准备中。当前显示原文说明。
Inverts burden of proof for code additions. Use when reviewing PRs, planning refactors, or running unbloat to challenge every addition's necessity.
中文简介正在准备中。当前显示原文说明。
Tracks per-agent token usage and flags waste in parallel dispatch. Use when evaluating parallel agent efficiency or after a multi-agent run.
中文简介正在准备中。当前显示原文说明。
Coordinates Claude agent teams via filesystem protocol. Use when orchestrating parallel agents with task dependencies. Do not use for single-agent tasks.
中文简介正在准备中。当前显示原文说明。
Evaluates API surface design, consistency, and exemplar alignment. Use when reviewing public API changes or before releasing a new API surface.
中文简介正在准备中。当前显示原文说明。
Selects architecture paradigm via research before scaffolding. Use when architecture is undecided and the choice needs justification and documentation.
中文简介正在准备中。当前显示原文说明。