learn
Skill5 starsChanged 43 days agoMITView on GitHub
Use when the user shares a conclusion, note, or takeaway from something they're studying — a book, course, or article — and wants it captured into their personal learning archive. Trigger phrases include "what I learned today", "notes from the book", "conclusions from chapter X", plus the explicit `/learn` command. Also use when the user pastes raw notes/highlights from a book and asks to summarize them. Do NOT use for general reading recommendations, for ideas/brainstorms (that's a separate ideas-capture flow), or for daily reflective journaling with no book/material attached.
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 repository12 other files it gives its agents.
- AGENTS.mdAGENTS.md
- councilSkill
- defuddleSkill
- doneSkill
- eli5Skill
- grill-meSkill
- media-genSkill
- memory-consolidationSkill
- qmdSkill
- research-notebookSkill
- setup-for-meSkill
- wiki-articleSkill
The file
We split this skill into the rules it gives an agent
9 rules. 0 are common, 3 are distinctive, and 6 are very specific to this project.
0
Common
Most of the 170 edited versions we read keep these.
3
Distinctive
This author's own choices. Worth a look.
6
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 16
Read <hub>/learning/index.md (create it if missing — see below) to see what's already tracked.
- Very specific: line 18
If the user names the book/material explicitly, or there's exactly one book with status reading, use it — no need to ask.
- Distinctive: line 19
If it's genuinely ambiguous (multiple books in progress, or nothing suggests which one), ask: "Which book/material — or a new one?" and …
- Very specific: line 33
If the file doesn't have a ## Conclusions section yet, add it.
- Very specific: line 37
No existing file for this title → create <hub>/learning/<slug>.md:
- Very specific: line 77
When the user says they finished a book, flip status to finished in both the book file's frontmatter and the index row.
- Distinctive: line 85
Don't fabricate chapter summaries, plot points, or "what this book is about" from training knowledge — only from what the user gives you.
- Very specific: line 86
Don't create subfolders under learning/ — keep it flat.
- Distinctive: line 87
Don't silently pick a book when more than one is ambiguous — ask.
“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 — book & study notes archive
The user is building a personal knowledge repository of what they read and study, one file per book/material, living flat under <hub>/learning/. This skill's job is capturing what they actually say — never inventing content — and keeping the archive tidy enough that it compounds instead of rotting.
The standing rule applies here without exception: when synthesizing notes, do not include anything the user didn't write. No chapter summaries pulled from a book's general reputation, no filled-in gaps. If they haven't told you something, it isn't in the file.
Workflow
1. Identify the book/material
Read <hub>/learning/index.md (create it if missing — see below) to see what's already tracked.
- If the user names the book/material explicitly, or there's exactly one book with status
reading, use it — no need to ask. - If it's genuinely ambiguous (multiple books in progress, or nothing suggests which one), ask: "Which book/material — or a new one?" and list the known titles from the index. Never guess silently.
- New title mentioned → treat as a new book (step 3 creates its file).
2. Append the note
Slug the title (the-lean-startup, atomic-habits, etc.) → <hub>/learning/<slug>.md.
Append under a ## Conclusions section, dated:
### YYYY-MM-DD
<exactly what the user wrote — their words, lightly cleaned up for readability, nothing added>If the file doesn't have a ## Conclusions section yet, add it.
3. New book — create the file
No existing file for this title → create <hub>/learning/<slug>.md:
---
type: learning
title: <Book Title>
author: <Author, if known — omit the line if not>
status: reading
started: YYYY-MM-DD
updated: YYYY-MM-DD
tags: [learning]
---
# <Book Title>
## ConclusionsAsk for the author if the user didn't mention it and it's not obvious — don't guess a real book's author from memory either; if you're confident from common knowledge, it's still safer to state it as inferred rather than presented as something the user said (keep it out of anything framed as "their words").
4. Update the index
<hub>/learning/index.md is the at-a-glance list. Format:
---
type: learning
updated: YYYY-MM-DD
tags: [learning, index]
---
# Learning Archive
| Title | Author | Status | Last updated |
|---|---|---|---|
| [The Lean Startup](the-lean-startup.md) | Eric Ries | reading | 2026-08-20 |On every touch (new book, new conclusion, status change) update that book's row and bump updated in both the row and the index frontmatter.
When the user says they finished a book, flip status to finished in both the book file's frontmatter and the index row.
5. Summarize mode
When the user pastes raw notes or highlights and asks for a synthesized summary (not just a one-line conclusion), write a ## Summary — YYYY-MM-DD section synthesizing only the pasted material — organize and tighten it, don't add outside context about the book. Save it to the book's file the same way as a conclusion.
What NOT to do
- Don't fabricate chapter summaries, plot points, or "what this book is about" from training knowledge — only from what the user gives you.
- Don't create subfolders under
learning/— keep it flat. - Don't silently pick a book when more than one is ambiguous — ask.
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.

