Chalk Labs
Need help deploying plan?
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/3rdai-admin-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
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What's inside
- Skill name
plan- Description
- None
- License
- MIT
- Instructions
- 59 lines in SKILL.md · view on GitHub
Agent Skills spec issues
- missing YAML frontmatter
- name: missing
- description: missing
Files (3)
- SKILL.md
- plan-reviewer.md
- planner.md
SKILL.md (first lines)
# Skill: plan Invoked by: /plan command ## Procedure Load and follow `skills/plan/planner.md` when executing this skill. ## Purpose Use the Planner Agent to create an implementation-ready plan for a feature, agent, prompt, skill, eval, model profile, config, or framework change. ## When to Use - During `stages/01-task-definition/` or before `stages/02-agent-design/`, `stages/03-prompt-design/`, or implementation work - When a request needs scope, assumptions, risks, affected files, and validation criteria - Before invoking the Builder Agent ## Output Creates a plan or PRP with goal, scope, context, implementation steps, validation criteria, risks, affected files, open questions, and recommended next agent. ## Harness References - Procedure: `skills/plan/planner.md` - Agent: `agents/planner.agent.md` - Prompt: `prompts/planner/v1.md` - Config: `configs/agents.yaml` - Eval: `evals/rubrics/plan-quality.md` - Deployment overlay (optional): `_config/project-notes.md` ## Next Step Run `/plan-reviewer` or use `agents/reviewer.agent.md` for review, then run `/build <plan-path>` when approved. ## Related Skill: plan-reviewer Invoked by: /plan-reviewer command ### Procedure Load and follow `skills/plan/plan-reviewer.md` when executing this skill. ### Purpose Use the Reviewer Agent to review and improve an existing plan or PRP before implementation. ### When to Use - When you have a new plan that has just been created - When asked by a human to review a plan - When called by another agent or skill - Before starting implementation - Before releasing a major harness change ### Output Updates the relevant plan or PRP with fixes, implementation guidance, testing coverage, safety notes, and evaluation gaps. ### Harness References - Procedure: `skills/plan/plan-reviewer.md` - Agent: `agents/reviewer.agent.md` - Config: `configs/agents.yaml` - Deployment overlay (optional): `_config/project-notes.md` ### Next Step Run `/build <plan-path>` after review findings are resolved.
From 3rdAI-admin/th3rdai-harness, MIT.
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Signals
- Stars
- 1
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- May 29, 2026 (5 months ago)
- Last release
- Jun 19, 2026 (4 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/3rdAI-admin/th3rdai-harness
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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
plan skill. Agent Mart. https://agentmart.dev/skills/3rdai-admin-plan (last updated 2026-10-24)