learn
Skill29 starsChanged 22 days agoMITView on GitHub
Run a structured Eklavya teaching session on a topic, ordered by prerequisites and calibrated to what the developer already knows.
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 repository21 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- cli/CLAUDE.mdCLAUDE.md
- eval/CLAUDE.mdCLAUDE.md
- hooks/CLAUDE.mdCLAUDE.md
- mcp/CLAUDE.mdCLAUDE.md
- skills/CLAUDE.mdCLAUDE.md
- web/CLAUDE.mdCLAUDE.md
- eklavya-dashboardSkill
- eklavya-designSkill
- verify-docsSkill
- gateSkill
- levelSkill
- memorySkill
- modeSkill
- packSkill
- progressSkill
- quizSkill
- setupSkill
- skipSkill
- toolpruneSkill
- tutorSkill
The file
We split this skill into the rules it gives an agent
6 rules. 0 are common, 3 are distinctive, and 3 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.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 15
If the topic isn't a known domain, ask which of the existing domains is closest, or teach from first principles and upsert_concepts as you …
- Distinctive: line 19
Start from what they already know — the profile tells you what that is.
- Distinctive: line 22
If they miss it, that concept is not done.
- Very specific: line 24
Stop when you hit five concepts or they've had enough.
- Very specific: line 26
If they set focus: "learn" at the top, say so in the closing line, and mention /eklavya:mode as the way back out.
- Distinctive: line 28
Never lecture for more than two exchanges without asking something.
“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
/eklavya:learn <topic>
Teach $ARGUMENTS properly. This is a lesson, not a quiz — but it is still a conversation, and it still records what was learned.
First, offer to make it stick. A one-off lesson ends when the conversation does. If they want this topic to keep coming back as they work, set_config with focus: "learn" and focus_topic: "$ARGUMENTS" — from then on quizzes plan from this topic, and use their real code as the example wherever the work touches it. Ask once, in one line; if they decline or say nothing, just teach the lesson. Do not set it silently: it changes what every later session asks about.
get_learner_profilefor the topic's domain. Notesuggested_tier, and noteknown— those concepts are already theirs. Reference them; do not teach them.get_concept_graphfor thatdomain— it is required — withinclude_mastery: trueandunmastered_only: true. The order returned is the teaching order: prerequisites come before what depends on them.- If the topic isn't a known domain, ask which of the existing domains is closest, or teach from first principles and
upsert_conceptsas you go.
Then, for each concept in order, and at most 5 per session:
- Start from what they already know — the profile tells you what that is. Never re-explain a mastered prerequisite; reference it in a clause and move on.
- Explain in a short paragraph, then show it in code from this repo if it appears here. Concrete beats general.
- Ask one question to check it landed, and grade it with
record_attempt. For the tier and — crucially — for what has already been asked, callget_session_quiz_planwithslugs: [...]for the concepts in this lesson andignore_cooldown: true. Itstier_to_askbeatssuggested_tier, and itsasked_beforeis what keeps a lesson from re-asking a question from a past one. - If they miss it, that concept is not done. Come at it from a different angle before moving on.
Stop when you hit five concepts or they've had enough. Close with what to review next and when — next_review from the recorded attempts tells you.
If they set focus: "learn" at the top, say so in the closing line, and mention /eklavya:mode as the way back out. A standing setting they forgot they made is a setting that feels like a bug later.
Never lecture for more than two exchanges without asking something.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
Reviews can't be read right now.
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.

