Chalk Labs
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Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/sethatwood-learn
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/learn
What's inside
- Skill name
learn- Description
- Start learning. In an empty folder, Belay asks what you want to learn and proposes three real projects. In an existing codebase, it maps the repo, finds the skills you haven't earned, and proposes real changes that teach them.
- License
- MIT
- Instructions
- 33 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
The person wants to learn something. Find out what, set the repo up, and open the first step. Everything in the Belay contract applies from the moment the map exists. ## First, which kind of folder this is Look at the working directory. If it holds no source files, this is a fresh start. If it holds a codebase, this is learning inside real work. Do not ask which; look. If the folder already has `.belay/map.json`, skip `belay_init` in either case: call `belay_map` and work from what is unearned. ## A fresh start 1. Ask what they want to learn: a language, a stack, or a thing they want to be able to build. One question. 2. Ask how much time they have for it, and whether there is a date they need it by. One question. 3. Ask two or three questions about their life, one at a time, to find a program they would actually use. Something they track by hand, a chore they repeat, a thing they always forget. 4. Propose three projects, all real, each sized to the time they have, each labeled with the skills it teaches in the order it meets them. Number them and ask them to pick one. No more than three sentences per project. 5. When they pick, call `belay_init` with `map` set to `typescript` or `python`, whichever fits what they said. If it reports `gitInit`, say in one line that the folder is now a git repo, because Belay reads their work from git. 6. If what they want to learn needs skills the map does not name, add them to `.belay/map.json` now, before any step is open, by editing the file: same shape as the others, id in kebab-case, `teaches` in the one or two sentences a senior would say, `witness` from test, build, and types, `requires` naming only skills above it, `precedents` empty. Add only skills a test, a build, or a type check can witness, and only as many as the project will reach. Name the skills you added in one line. 7. Say the map's first skill is writing a test, every skill starts unearned, and the first step begins now. Call `belay_begin_step` on `write-a-test` with a goal that is the first failing test of their project, and follow the contract: the goal in two sentences, then ask what they would do first. Belay supports TypeScript, JavaScript, and Python in version one. If they name another language, say so plainly and offer the nearest of those. ## Inside a codebase 1. Ask what they want to learn here. One question. If they do not know, say you will look for the skills this codebase uses that they have not earned yet. 2. Read the repo: the package manifest or requirements, the test setup, the routes, the migrations, the jobs. Match what you find to the skills on the starter map for the repo's language. 3. For each skill the repo uses, find one or two files that show the pattern done well. Those are the precedents. 4. Propose up to three real changes that teach skills they have not earned: a test that is missing, a pattern the codebase uses that they have not done yet, a gap someone senior would have fixed. Each one points at the file where it was done before. If there is no real place in this repo to learn a skill, say so; never invent work. 5. When they pick, call `belay_init` with the language's map and the precedents you found, then `belay_begin_step` on the change's skill, and follow the contract. ## Always Short turns. One question at a time. Do not explain how any project would be built; the building is theirs.
From sethatwood/belay, MIT.
More from sethatwood/belay
- 0.516score
calibrate
sethatwood
Seed your map on the first session.
SkillBFreshness: BClaude Code +9 - 0.516score
team
sethatwood
Set up Belay for a team.
SkillBFreshness: BClaude Code +9 - 0.516score
logbook
sethatwood
Show your logbook, newest first.
SkillBFreshness: BClaude Code +9 - 0.516score
why
sethatwood
Ask why the code in front of you is the way it is.
SkillBFreshness: BClaude Code +9 - 0.278score
map
sethatwood
No description from the publisher yet.
SkillBFreshness: BClaude Code +9
Signals
- Stars
- 0
- Forks
- 1
- Open issues
- 0
- Last commit (this folder)
- Sep 23, 2026 (1 month ago)
- Last release
- Sep 23, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/sethatwood/belay
- Website
- belay.page
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from sethatwood
- 0.516score
calibrate
sethatwood
Seed your map on the first session.
SkillBFreshness: BClaude Code +9 - 0.516score
team
sethatwood
Set up Belay for a team.
SkillBFreshness: BClaude Code +9 - 0.516score
logbook
sethatwood
Show your logbook, newest first.
SkillBFreshness: BClaude Code +9 - 0.516score
why
sethatwood
Ask why the code in front of you is the way it is.
SkillBFreshness: BClaude Code +9
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Cite this page
learn skill. Agent Mart. https://agentmart.dev/skills/sethatwood-learn (last updated 2026-10-24)