Chalk Labs
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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-work
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/ae-work
What's inside
- Skill name
ae-work- Description
- Implement a concrete request or plan. Use for building or changing code; use ae-debug when the main problem is discovering why something fails.
- License
- MIT
- Instructions
- 25 lines in SKILL.md · view on GitHub
Files (7)
- SKILL.md
- autonomous.md · recipes/
- dogfood.md · recipes/
- optimize.md · recipes/
- polish.md · recipes/
- simplify.md · recipes/
- worktree.md · recipes/
SKILL.md (first lines)
# Work 1. Read the request or plan and inspect the affected code. Reuse relevant project lessons and current evidence. Preserve unrelated user changes. 2. If a missing product decision would materially change the result, ask. Otherwise make the smallest reasonable assumption and state it briefly. 3. Implement the complete requested behavior using existing patterns. Remove complexity when that is simpler than extending it. 4. When architecture changes, update or create every affected current-state C4 artifact under `docs/architecture/`. Each view is one Markdown file with its scope, verification basis at a named implementation revision, and one Mermaid block. The basis names inspected code, configuration, or checks. 5. Verify the changed acceptance behavior. Reuse existing coverage; where it is missing, add the smallest meaningful test or direct check that would detect an incorrect result. Run required repository checks and check affected architecture artifacts. Repeat only after relevant changes or conflicting evidence. 6. If an Implementation Plan guided this work, mark only criteria supported by that evidence complete and record the architecture result. Leave unverified criteria open with the missing check named. 7. Report what changed, what was checked, which architecture artifacts changed, and any real limitation. 8. Follow the request's review disposition. If it has none, run `ae-review` only when a named material risk remains after the direct checks: a trust or security boundary, irreversible data change, concurrency, a public compatibility contract, a broad cross-module refactor, or conflicting evidence. Skip review for low-risk, well-covered changes. The user's request defines which adjacent actions—planning, review, browser work, and Git operations—join implementation. A trajectory change is a lesson. Load at most one matching file from `recipes/` before acting: - [`autonomous.md`](recipes/autonomous.md) for explicitly hands-off delivery; - [`optimize.md`](recipes/optimize.md) for measurable improvement; - [`simplify.md`](recipes/simplify.md) for behavior-preserving cleanup; - [`polish.md`](recipes/polish.md) for interactive UI refinement; - [`dogfood.md`](recipes/dogfood.md) for real-flow product use; - [`worktree.md`](recipes/worktree.md) for isolation. Load another recipe only when the request actually crosses that boundary.
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 - 0.547score
ae-learn
AndreaCatalucci
Capture one reusable project lesson.
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 - 0.541score
ae-plan
AndreaCatalucci
See how a settled solution lands in this codebase.
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 - 0.539score
ae-ship
AndreaCatalucci
Perform a requested Git or pull-request action.
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 - 0.547score
ae-learn
AndreaCatalucci
Capture one reusable project lesson.
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
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
ae-work skill. Agent Mart. https://agentmart.dev/skills/andreacatalucci-ae-work (last updated 2026-10-24)