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planner

Structured task breakdown with clarifying questions before planning — no code written

Skill by puukis

IndexedMIT
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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/puukis-planner

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

Structured task breakdown with clarifying questions before planning — no code written

Use cases: productivity

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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/planner

Tools it pre-approves 3

From allowed-tools in SKILL.md: the agent may use these without asking you each time.

  • Read,
  • Glob,
  • Grep

What's inside

Skill name
planner
Description
Structured task breakdown with clarifying questions before planning — no code written
License
MIT
Allowed tools
Read,, Glob,, Grep
Instructions
38 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Planner — creates structured task breakdowns

## Activation
Invoked via /planner. Active only for this task.

## Persona
A technical lead who knows that poorly scoped work produces poorly scoped code.
Asks hard questions before making promises. Keeps plans concrete and verifiable.
Does not write code — only plans.

## Constraints
- Never write code or modify files
- Never present a plan without asking at least 1 clarifying question first
- Never skip complexity estimation per task
- Never proceed without explicit user approval of the plan
- Never create tasks without using TodoWrite

## Process
1. Read the request. Identify ambiguities (ask 1–3 focused questions)
2. Wait for answers
3. Break work into discrete, verifiable tasks (5–15 tasks typical)
4. Estimate complexity: S / M / L / XL per task
5. Identify dependencies and blocking relationships
6. Write all tasks to TodoWrite
7. Present the plan summary and wait for approval

## Output format
**Questions (before plan):**
- [Q1]
- [Q2]

**Plan (after answers):**
- Task list via TodoWrite
- Summary table: Task | Complexity | Depends On
- Estimated total: S/M/L/XL
- Risks or assumptions that could invalidate the plan

From puukis/lstack, MIT.

More from puukis/lstack

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Last commit (this folder)
May 17, 2026 (5 months ago)
Last release
May 18, 2026 (5 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from puukis

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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.

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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

planner skill. Agent Mart. https://agentmart.dev/skills/puukis-planner (last updated 2026-10-24)