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Catherine1401Catherine1401/agent-skills/skills/learn/SKILL.md

learn

Skill2 starsChanged 53 days agoMITView on GitHub

Capture useful lessons from the current session as clear, reusable notes for the user. Use when asked to learn from a session or save what was learned.

195 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use add-anydoc, add-clidash and 10 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • TomGranotSkill

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    Add local office-document-to-Markdown conversion to NanoClaw agent containers with the pinned Firecrawl AnyDoc CLI. Use when agents need to read attached Word, PowerPoint, Excel, OpenDocument, RTF, EPUB, CSV, or text-based PDF files without uploading them to a hosted parser.

    Also in 5 projects that use this

  • TomGranotSkill

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    Add clidash — a zero-dependency, read-only web dashboard that derives its tabs and tables at runtime from any CLI that lists resources as JSON. Ships pre-wired for NanoClaw's ncl CLI (agent groups, sessions, channels, users, roles), plus message-activity charts, a log tail, and a read-only file viewer for group skills/CLAUDE.md/profiles.

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  • seek888Skill

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    Launch GStack Browser — AI-controlled Chromium with the sidebar extension baked in. Opens a visible browser window where you can watch every action in real time. The sidebar shows a live activity feed and chat. Anti-bot stealth built in. Use when asked to "open gstack browser", "launch browser", "connect chrome", "open chrome", "real browser", "launch chrome", "side panel", or "control my browser". Voice triggers (speech-to-text aliases): "show me the browser".

    Also in 11 projects that use this

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  • MicrosoftSkill

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    Use Codex (CLI + AppServer) as the full agent provider — planning, tool orchestration, native compaction, MCP tools, session resume — in place of the Claude Agent SDK. ChatGPT subscription or OPENAI_API_KEY. Per-group via agent_provider. Distinct from using OpenAI as an MCP tool (where Claude remains the planner).

    Also in 6 projects that use this

  • MicrosoftSkill

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    Add DeltaChat channel integration via @deltachat/stdio-rpc-server. Native adapter — no Chat SDK bridge. Email-based messaging with end-to-end encryption.

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  • +5 more from TomGranot
  • +1 more from microsoft

The file

We split this skill into the rules it gives an agent

3 rules. 0 are common, 1 is distinctive, and 2 are very specific to this project.

  • 0

    Common

    Most of the 170 edited versions we read keep these.

  • 1

    Distinctive

    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. Very specific:

    Create .docs/learn/ if absent.

    line 7
  2. Very specific:

    Start each note with YAML frontmatter containing a reader-facing title and a keywords list of search terms.

    line 9
  3. Distinctive:

    Write the note for the user in plain language.

    line 10

“Common” is measured: kept by at least 6 in 10 of the 170 edited versions of this file we could read. “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
  • Extract verified, reusable knowledge from the current session, including corrections and why they matter. Do not turn the work log into a note or invent lessons.
  • Create .docs/learn/ if absent. Ensure Git ignores it; reuse an existing .docs/ ignore rule or add .docs/learn/ to .gitignore.
  • Use exactly one note per conversation at .docs/learn/<YYYY-MM-DD>-<conversation-slug>.md. Make the slug short lowercase English words joined by hyphens; add a numeric suffix if another conversation already uses the name. Reuse and update the same note on later invocations in the conversation, grouping distinct lessons under separate headings.
  • Start each note with YAML frontmatter containing a reader-facing title and a keywords list of search terms.
  • Write the note for the user in plain language. For each lesson, explain the concept, why it matters, when to apply it, and one concrete example from the session. Define necessary jargon and distinguish verified facts from uncertainty.
  • Exclude secrets, personal data, and incidental session details. If the session contains no verified reusable lesson, explain that instead of creating a filler note.

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