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/andreacatalucci-ae-plan
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
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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-plan
What's inside
- Skill name
ae-plan- Description
- See how a settled solution lands in this codebase. Use for multi-step work or slicing delivery.
- License
- MIT
- Instructions
- 23 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Plan 1. Read the request, relevant project lessons, and affected code until the current seams are visible. 2. Name the desired outcome and the gap between that codebase and it. 3. Identify choices whose wrong answer would cause meaningful rework. Resolve them from evidence, or ask one focused question when the user must decide. Leave the rest deferred. 4. Use the fewest vertical slices that deliver observable behavior on existing seams. Start with a walking skeleton when no end-to-end path exists. Give each slice acceptance criteria and the cheapest meaningful verification. Name a spike only when its result could change the implementation. 5. Write an Implementation Plan covering: - desired outcome; - relevant current codebase; - gap; - vertical delivery slices; - done criteria. Include a walking skeleton, technical bets or spikes, and deferred decisions only when they affect the work. Omit irrelevant sections rather than filling them with placeholders. Every plan includes an Architecture section with current `docs/architecture/` references or `None`, intended boundary or relationship changes, affected invariants, and artifacts `ae-work` must update or create. State `No architecture change` when applicable. A material change may include a target Mermaid C4 diagram; repository architecture artifacts continue to describe verified current state. Answer atomic work inline. Write multi-step work to one canonical file under `docs/plans/`. Point to code and earlier artifacts rather than restating them. 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 - 0.547score
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 - 0.544score
ae-work
AndreaCatalucci
Implement a concrete request or plan.
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.
Get ae-plan 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-plan skill. Agent Mart. https://agentmart.dev/skills/andreacatalucci-ae-plan (last updated 2026-10-24)