Chalk Labs
Need help deploying ae-learn?
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/andreacatalucci-ae-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.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
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/ae-learn
What's inside
- Skill name
ae-learn- Description
- Capture one reusable project lesson. Use when a failed experiment or invalidated assumption changes the trajectory, when the user asks to record a lesson, and garden for scoped maintenance of existing learnings.
- License
- MIT
- Instructions
- 21 lines in SKILL.md · view on GitHub
Files (2)
- SKILL.md
- garden.md · recipes/
SKILL.md (first lines)
# Learn Preserve one lesson that will materially help future work in this repository. Search `docs/solutions/` for a direct duplicate. If it already captures the lesson accurately, cite it and stop. Otherwise create or update the nearest document with: - the belief, experiment, or assumption; - what reality showed; - the lesson and why it will change later work; - where it applies and its boundaries; - the most useful code or documentation pointers. Use ordinary Markdown and the project's language. Keep capture scoped to the nearest solution document. One trajectory change is one lesson. Load [`garden.md`](recipes/garden.md) for an explicit `garden [scope]` request. A normal learning may recommend a narrow garden scope for a future run. Before finishing, run the `unslop` skill.
From AndreaCatalucci/andrea-engineering, MIT.
More from AndreaCatalucci/andrea-engineering
- 0.581score
ae-coordinate
AndreaCatalucci
Coordinate delivery with execution prompts, settings previews, and user-approved chat creation.
SkillAFreshness: A★ 1Claude Code +9 - 0.547score
unslop
AndreaCatalucci
Edit prose for clarity, precision, economy, and consistency.
SkillBFreshness: B★ 1Claude Code +9 - 0.546score
ae-explore
AndreaCatalucci
Explore a solution direction.
SkillBFreshness: B★ 1Claude Code +9 - 0.544score
ae-ideate
AndreaCatalucci
Decide which product idea is worth pursuing.
SkillBFreshness: B★ 1Claude Code +9 - 0.544score
ae-review
AndreaCatalucci
Review code or another requested artifact for material problems.
SkillBFreshness: B★ 1Claude Code +9 - 0.544score
ae-work
AndreaCatalucci
Implement a concrete request or plan.
SkillBFreshness: B★ 1Claude Code +9 - 0.541score
ae-plan
AndreaCatalucci
See how a settled solution lands in this codebase.
SkillBFreshness: B★ 1Claude Code +9 - 0.539score
ae-ship
AndreaCatalucci
Perform a requested Git or pull-request action.
SkillBFreshness: B★ 1Claude Code +9 - 0.539score
ae-debug
AndreaCatalucci
Find the cause of failing behavior and fix it when requested.
SkillBFreshness: B★ 1Claude Code +9
Signals
- Stars
- 1
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Sep 6, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from AndreaCatalucci
- 0.581score
ae-coordinate
AndreaCatalucci
Coordinate delivery with execution prompts, settings previews, and user-approved chat creation.
SkillAFreshness: A★ 1Claude Code +9 - 0.547score
unslop
AndreaCatalucci
Edit prose for clarity, precision, economy, and consistency.
SkillBFreshness: B★ 1Claude Code +9 - 0.546score
ae-explore
AndreaCatalucci
Explore a solution direction.
SkillBFreshness: B★ 1Claude Code +9 - 0.544score
ae-ideate
AndreaCatalucci
Decide which product idea is worth pursuing.
SkillBFreshness: B★ 1Claude Code +9 - 0.544score
ae-review
AndreaCatalucci
Review code or another requested artifact for material problems.
SkillBFreshness: B★ 1Claude Code +9 - 0.544score
ae-work
AndreaCatalucci
Implement a concrete request or plan.
SkillBFreshness: B★ 1Claude 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.
Get ae-learn running in your business
Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.
Cite this page
ae-learn skill. Agent Mart. https://agentmart.dev/skills/andreacatalucci-ae-learn (last updated 2026-10-24)