plan — for Claude Code lear_by_ai, community, for Claude Code, ide skills, server:tool, Provide the body via stdin or, or use, Read frontmatter, structured, repository

v1.0.0
GitHub

このスキルについて

適した場面: Ideal for AI agents that need draft structured plans for this repository and optionally save them to plan/. ローカライズされた概要: # Plan (Repo) Draft structured plans for this repository and optionally save them to plan/. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

機能

Draft structured plans for this repository and optionally save them to plan/.
Use assets/ template.md as the plan structure and fill every section.
Do not edit code while planning.
Draft the plan in chat first; ask for confirmation before writing a plan file.
Save plans to the repo plan/ directory, not /.codex/plans.

# Core Topics

for Claude Code server:tool Provide the body via stdin or or use Read frontmatter structured
bnufw bnufw
[0]
[0]
Updated: 1/9/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 8/11

This page remains useful for teams, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution
Review Score
8/11
Quality Score
33
Canonical Locale
en
Detected Body Locale
en

適した場面: Ideal for AI agents that need draft structured plans for this repository and optionally save them to plan/. ローカライズされた概要: # Plan (Repo) Draft structured plans for this repository and optionally save them to plan/. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

このスキルを使用する理由

推奨ポイント: plan helps agents draft structured plans for this repository and optionally save them to plan/. Plan (Repo) Draft structured plans for this repository and optionally save them to plan/. This AI agent skill

おすすめ

適した場面: Ideal for AI agents that need draft structured plans for this repository and optionally save them to plan/.

↓ 実現可能なユースケース for plan

ユースケース: Applying Draft structured plans for this repository and optionally save them to plan/
ユースケース: Applying Use assets/ template.md as the plan structure and fill every section
ユースケース: Applying Do not edit code while planning

! セキュリティと制限

  • 制約事項: Do not edit code while planning.
  • 制約事項: The plan must include a matching Issue CSV path: issues/YYYY-MM-DD HH-mm-ss-<slug .csv.
  • 制約事項: 5) If you need to inspect existing plans:

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.
  • - The underlying skill quality score is below the review floor.

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

After The Review

Decide The Next Action Before You Keep Reading Repository Material

Killer-Skills should not stop at opening repository instructions. It should help you decide whether to install this skill, when to cross-check against trusted collections, and when to move into workflow rollout.

Install Path

Start With Installation And Validation

If this skill is worth continuing with, the next step is to confirm the install command, CLI write path, and environment validation.
Trusted Recheck

Cross-Check Against Trusted Picks

If you are still comparing multiple skills or vendors, go back to the trusted collection before amplifying repository noise.
Workflow

Move To Workflow Collections For Team Rollout

When the goal shifts from a single skill to team workflows, approvals, and repeatable execution, move into workflow collections.
Labs Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is plan?

適した場面: Ideal for AI agents that need draft structured plans for this repository and optionally save them to plan/. ローカライズされた概要: # Plan (Repo) Draft structured plans for this repository and optionally save them to plan/. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

How do I install plan?

Run the command: npx killer-skills add bnufw/lear_by_ai/plan. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for plan?

Key use cases include: ユースケース: Applying Draft structured plans for this repository and optionally save them to plan/, ユースケース: Applying Use assets/ template.md as the plan structure and fill every section, ユースケース: Applying Do not edit code while planning.

Which IDEs are compatible with plan?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for plan?

制約事項: Do not edit code while planning.. 制約事項: The plan must include a matching Issue CSV path: issues/YYYY-MM-DD HH-mm-ss-<slug .csv.. 制約事項: 5) If you need to inspect existing plans:.

↓ How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add bnufw/lear_by_ai/plan. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use plan immediately in the current project.

! Reference-Only Mode

This page remains useful for installation and reference, but Killer-Skills no longer treats it as a primary indexable landing page. Read the review above before relying on the upstream repository instructions.

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

plan

# Plan (Repo) Draft structured plans for this repository and optionally save them to plan/. This AI agent skill supports Claude Code, Cursor, and Windsurf

SKILL.md
Readonly
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Supporting Evidence

Plan (Repo)

Draft structured plans for this repository and optionally save them to plan/.

Core rules

  • Use assets/_template.md as the plan structure and fill every section.
  • Do not edit code while planning.
  • Draft the plan in chat first; ask for confirmation before writing a plan file.
  • Save plans to the repo plan/ directory, not ~/.codex/plans.
  • Use the naming pattern: plan/YYYY-MM-DD_HH-mm-ss-<slug>.md.
  • The plan must include a matching Issue CSV path: issues/YYYY-MM-DD_HH-mm-ss-<slug>.csv.
  • When selecting MCP tools, reference docs/mcp-tools.md for the correct server:tool names.

Clarifications

  • Ask up to 2 questions if the task is unclear; otherwise state assumptions and proceed.
  • If the task continues across turns, re-invoke this skill to keep the rules active.

Plan workflow

  1. Restate the task and assumptions.
  2. Draft the plan body in chat (no frontmatter) using the template.
  3. Ask: "Reply CONFIRM to write the plan file."
  4. On confirmation, write the plan file with frontmatter via:
    • python3 .codex/skills/plan/scripts/create_plan.py --task "<short title>" --complexity <simple|medium|complex>
    • Provide the body via stdin or --body-file, or use --template for a starter.
  5. If you need to inspect existing plans:
    • List: python3 .codex/skills/plan/scripts/list_plans.py
    • Read frontmatter: python3 .codex/skills/plan/scripts/read_plan_frontmatter.py <plan.md>

Issue CSV

  • Generate the Issue CSV after the plan is reviewed/approved.
  • Use assets/_template.csv and fill all required fields.
  • Follow issues/README.md for column meanings and CSV formatting.
  • Use docs/mcp-tools.md to populate the Tools column with valid server:tool names.
  • Validate with: python3 .codex/skills/plan/scripts/validate_issues_csv.py <issues.csv>.
  • If validation fails, fix and re-run until it passes.

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