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Skill Library Mission

Community
athola
skill-library-mission

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.

Overview

Publisherathola
Repositoryclaude-night-market
Skill nameskill-library-mission
Stars
343
Forks
37
Bundled files
4
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by athola on GitHub. Read the source before you install it.

Installation

Install the Skill Library Mission AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/athola/claude-night-market/tree/master/plugins/attune/skills/skill-library-mission
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/athola/claude-night-market.git /tmp/claude-night-market
mkdir -p .claude/skills
cp -r /tmp/claude-night-market/plugins/attune/skills/skill-library-mission .claude/skills/skill-library-mission
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Skill Library Mission in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Skill Library Mission on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Skill Library Mission is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Skill Library Mission

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:

json
{
  "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.

Constraints

  • Run discovery even on a small repository. The five questions come from it, and there is no other source for them.
  • Verify against ground truth even in a codebase you know. A wrong runbook is worse than none.
  • Review the library even when it looks complete. Authoring agents cannot see each other's contradictions.
  • Date-stamp every claim and give it a re-verification command. A claim that is probably still true is a claim nobody checked.

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

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Skill Library Mission AI skill do?

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.

Why use Skill Library Mission on TypingMind?

Because you install it once and use it with any model. Skill Library Mission is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Skill Library Mission in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/athola/claude-night-market/tree/master/plugins/attune/skills/skill-library-mission. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Skill Library Mission?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Skill Library Mission?

As many as you like. As long as a model supports skills, you can use Skill Library Mission with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Skill Library Mission AI skill free?

Yes. It is published on GitHub by athola under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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