learn
Skill2 starsChanged 10 days agoMITView on GitHub
Extract non-obvious session learnings, patterns, and discoveries into scoped AGENTS.md files. Use this skill when the user wants to extract learnings after completing non-trivial tasks, or when they say "extract learnings", "save patterns", "update AGENTS.md", or whenever the session has produced insights that should be captured for future reference — even if they just say "what did we learn" or "save this for later". Not for agents-md, skill-creator.
195 other projects use a version of this.
Adopted by
Most recently taken up by
- Doist/todoist-aitheir own version, first seen Nov 9, 2026
- Doist/todoist-clitheir own version, first seen Nov 8, 2026
- HughYau/AcademicForgetheir own version, first seen Nov 8, 2026
- dimsedra/skillstheir own version, first seen Nov 8, 2026
- rajanrx/skillstheir own version, first seen Nov 8, 2026
- edwinidrus/dragonhoardtheir own version, first seen Nov 8, 2026
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.
TomGranotSkilladd-anydoc
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
TomGranotSkilladd-clidash
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.
Also in 5 projects that use this
seek888Skillopen-gstack-browser
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
Saqlain-811Skillios-sync
Regenerate the iOS debug bridge against the latest upstream gstack templates. (gstack)
Also in 6 projects that use this
MicrosoftSkilladd-codex
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
MicrosoftSkilladd-deltachat
Add DeltaChat channel integration via @deltachat/stdio-rpc-server. Native adapter — no Chat SDK bridge. Email-based messaging with end-to-end encryption.
Also in 6 projects that use this
- +5 more from TomGranot
- +1 more from microsoft
Other versions195 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 195
- garrytan/gstack★ 141ksame name
- rohitg00/ai-engineering-from-scratch★ 78ksame name
- gavrielc/nanoclaw★ 31ksame name
- nanocoai/nanoclaw★ 31ksame name
- qwibitai/nanoclaw★ 31ksame name
- tigerless-labs/autoharness★ 11ksame name
- tw93/claude-health★ 7.5ksame name
- tw93/Waza★ 7.5ksame name
- nykooi1/vibe-wise★ 3.5ksame name
- HughYau/AcademicForge★ 2.6ksame name
185 more not listed
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 repository63 other files it gives its agents.
- AGENTS.mdAGENTS.md
- .agents/skills/avoid-ai-writing/AGENTS.mdAGENTS.md
- .agents/skills/do-web-doc-resolver/AGENTS.mdAGENTS.md
- .agents/skills/skill-evaluator/AGENTS.mdAGENTS.md
- scripts/AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- llms-full.txtllms.txt
- llms.txtllms.txt
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The file
We split this skill into the rules it gives an agent
5 rules. 0 are common, 2 are distinctive, and 3 are very specific to this project.
0
Common
Most of the 170 edited versions we read keep these.
2
Distinctive
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 38
Place learnings in the most specific file:
- Distinctive: line 47
Every new non-obvious insight must be recorded in three places:
- Very specific: line 48
Verbose Log: Add a full LESSON-NNN entry to agents-docs/LESSONS.md with Issue/Root Cause/Solution.
- Very specific: line 49
Distilled Note (scoped): Add a 1–3 line note to the nearest AGENTS.md (this is what learn automates).
- Very specific: line 50
Distilled Note (project-wide): Add a 1–3 line note to agents-docs/self-learning-rules.md under ## Recent Project-Wide Learnings.
“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.
Files
Learn
Extract non-obvious session learnings into scoped AGENTS.md files to preserve knowledge across sessions.
When to Use
Activate after completing a non-trivial task to capture insights that would otherwise be lost.
Instructions
What to Capture (Non-Obvious Only)
- Hidden relationships between files or scripts not obvious from code.
- Execution paths that differ from what the code appears to do.
- Non-obvious config, env vars, or flags (see
agents-docs/ENVIRONMENT_VARIABLES.md). - Debugging breakthroughs where error messages were misleading.
- Files that must change together (e.g.,
AGENTS.md+agents-docs/AVAILABLE_SKILLS.mdwhen adding skills). - Build/test commands not documented in README.
- Architectural constraints discovered at runtime.
What NOT to Capture
- Obvious documentation or standard behavior.
- Duplicates of existing entries.
- Verbose explanations or session-specific notes.
Scoping Rules
Place learnings in the most specific file:
- Project-wide:
agents-docs/self-learning-rules.md(under## Recent Project-Wide Learnings). - Script-specific:
scripts/AGENTS.md. - Skill-specific:
.agents/skills/<name>/AGENTS.md.
Also write a fuller LESSON-NNN entry to agents-docs/LESSONS.md for archival.
Triple-Write Requirement
Every new non-obvious insight must be recorded in three places:
- Verbose Log: Add a full
LESSON-NNNentry toagents-docs/LESSONS.mdwith Issue/Root Cause/Solution. - Distilled Note (scoped): Add a 1–3 line note to the nearest
AGENTS.md(this is whatlearnautomates). - Distilled Note (project-wide): Add a 1–3 line note to
agents-docs/self-learning-rules.mdunder## Recent Project-Wide Learnings.
Format
- 1–3 lines per insight in
AGENTS.md. - Fits within
MAX_LINES_AGENTS_MD=200constraint. - Bulleted list under a "Learnings" or "Context" section.
See Also
agents-md— AGENTS.md best practicesskill-creator— Create and improve skills
Rationalizations
| Rationalization | Reality |
| "This is obvious, no need to record it" | What seems obvious today becomes non-obvious in a new session; document runtime discoveries. |
| "I'll remember this later" | Session context is lost on termination; if it's not written down, it's gone. |
Red Flags
- Capturing obvious or already-documented behavior as a new learning
- Placing learnings in the wrong scope (project-wide for script-specific insights)
- Skipping the dual-write to LESSONS.md for non-obvious findings
References
agents-docs/LESSONS.md- Legacy project-wide lessons.AGENTS.md- Root agent guidance and constraints.
Voice & Context
- Default:
professional+blog - Reference:
voice-profilesskill for definitions and auto-detection.
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.

