Agent skill

Plan

by HazAT in HazAT/pi-config

Interactively investigate a request, compare approaches, and write the selected implementation plan to a supplied Markdown path.

MITAuto-check passedAgent Workflows

Install Plan

skills CLI
$ npx skills add HazAT/pi-config --skill plan -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install HazAT/pi-config plan --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/HazAT/pi-config.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/plan .claude/skills/plan && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
plan
GitHub stars
451
Token cost
~528 tokens
SKILL.md length
176 words
Files
1
Skills in repo
10
Repo updated
First seen
Licence
MIT

At a glance

Interactively investigate a request, compare approaches, and write the selected implementation plan to a supplied Markdown path.

  • Works in 6 steps: Investigate: inspect repository… → Confirm intent: summarize the requested… → Clarify: ask only questions whose… → …
  • Tasks that involve Planning
  • SKILL.md covers Workflow and Plan Format
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Plan is an agent skill from HazAT/pi-config. Interactively investigate a request, compare approaches, and write the selected implementation plan to a supplied Markdown path. Use for planning, brainstorming, or exact /plan.

Its SKILL.md is about 530 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows, covering Planning and Brainstorming. The repository describes itself as: My personal pi coding agent configuration - skills and extensions. The licence is MIT.

When your agent uses it

  • Tasks that involve Planning
  • Tasks that involve Brainstorming

Example prompts

  • “/plan”

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Investigate: inspect repository instructions, Git state, relevant files, tests, and existing patterns. Ground claims in what you read.
  2. Confirm intent: summarize the requested outcome, implicit requirements, boundaries, and the most important success condition. Ask for…
  3. Clarify: ask only questions whose answers materially change the design. Resolve observable behavior, edge cases, quality level, and…
  4. Compare approaches: present 2–3 materially different options with tradeoffs, risks, effort, and a recommendation.
  5. Select: ask the user to choose or approve an approach. Do not write the plan before this checkpoint.
  6. Write: after selection, resolve routine details from evidence and write only the absolute plan path supplied by the caller. Stop.

What it can do on your machine

Read from SKILL.md and the folder at commit 655acd4. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Plan loads about 528 tokens when it runs. Until then it costs about 46 tokens; SKILL.md has 176 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~46
When it runs · the whole SKILL.md, loaded when a task matches
~528

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from HazAT/pi-config at commit 655acd4, republished under its MIT licence (© HazAT). 176 words, ~528 tokens.

Download SKILL.mdSave it as .claude/skills/plan/SKILL.md (or your agent's skills folder).
name
plan
description
Interactively investigate a request, compare approaches, and write the selected implementation plan to a supplied Markdown path. Use for planning, brainstorming, or exact /plan.

Plan

Plan in the current chat. Do not implement, create todos, review, or launch source-writing agents.

Workflow

  1. Investigate: inspect repository instructions, Git state, relevant files, tests, and existing patterns. Ground claims in what you read.
  2. Confirm intent: summarize the requested outcome, implicit requirements, boundaries, and the most important success condition. Ask for corrections.
  3. Clarify: ask only questions whose answers materially change the design. Resolve observable behavior, edge cases, quality level, and explicit exclusions.
  4. Compare approaches: present 2–3 materially different options with tradeoffs, risks, effort, and a recommendation.
  5. Select: ask the user to choose or approve an approach. Do not write the plan before this checkpoint.
  6. Write: after selection, resolve routine details from evidence and write only the absolute plan path supplied by the caller. Stop.

Keep each interactive turn focused. Investigate facts instead of asking the user to provide facts available in the checkout.

Plan Format

markdown
# [Plan name]

**Status:** Ready
**Request:** [one sentence]
**Selected approach:** [one sentence]

## Intent

## Scope

### In scope
- ...

### Out of scope
- ...

## Acceptance Criteria
- [ ] ISC-1: [binary, observable criterion]
- [ ] ISC-2: ...

## Repository Evidence
- `path:line` — [relevant fact or convention]

## Approaches Considered

### Selected: [name]
[Why it best fits]

### Rejected: [name]
[Tradeoff that ruled it out]

## Implementation
1. [ordered change with files/components]

## Verification
- `[command]` — [what it proves]

## Assumptions and Risks
- [assumption or failure mode] — [mitigation or accepted risk]

Use objective acceptance criteria and name important wrong approaches. Do not create a sidecar directory, run record, todo file, review file, or custom state.

© HazAT, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/plan of HazAT/pi-config.

Open the folder on GitHubat commit 655acd4

Compare with similar skills

Plan next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Plan compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Plan this skillHazAT/pi-config451—~528Automated safety check: PassMIT
Brainstorming Before BuildingjnMetaCode/superpowers-zh8.3k—~1.8kAutomated safety check: PassMIT
LLM Councilgcpdev/llm-council-skill461—~1kAutomated safety check: NotesMIT
CE BrainstormEveryInc/compound-engineering-plugin25k—~1.9kAutomated safety check: PassMIT
Planmhmzdev/the-holy-quran-app889—~957Automated safety check: PassMIT
Design Reviewxwtro0tk1t-cloud/harness265—~1.6kAutomated safety check: PassNone

Similar skills

  • Brainstorming Before Building

    jnMetaCode/superpowers-zh

    Turns a rough idea into an approved design before any code is written, sorting the request into spike, bounded or architectural and enforcing an approval gate.

    8.3k GitHub stars~1.8k tokensUpdated yesterday
    Agent WorkflowsAuto-check passed
  • LLM Council

    gcpdev/llm-council-skill

    Multi-LLM collaborative brainstorming and planning. An agent skill from gcpdev/llm-council-skill.

    461 GitHub stars~1k tokensUpdated 9 mo ago
    Agent WorkflowsAuto-check: notes
  • CE Brainstorm

    EveryInc/compound-engineering-plugin

    Turns a vague or ambitious feature idea into a requirements-only plan through dialogue with you, sized to the work, before any code is written.

    25k GitHub stars~1.9k tokensUpdated yesterday
    Agent WorkflowsAuto-check passed
  • Plan

    mhmzdev/the-holy-quran-app

    Turn an idea or brainstorm into an actionable execution plan for The Holy Qur'an app with phases, file changes, and machine-checkable success criteria.

    889 GitHub stars~957 tokensUpdated 29 days ago
    Agent WorkflowsAuto-check passed
  • Design Review

    xwtro0tk1t-cloud/harness

    Dispatch an independent challenger agent to adversarially review a spec or implementation plan against the actual codebase.

    265 GitHub stars~1.6k tokensUpdated 5 mo ago
    Agent WorkflowsAuto-check passed
  • Brainstorming

    ed3dai/ed3d-plugins

    A skill your agent uses when creating or developing anything, before writing code or implementation plans - refines rough ideas into fully-formed designs through structured Socratic questioning…

    250 GitHub starsUsed in 1 repo~4.3k tokens
    Agent WorkflowsAuto-check passed

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Categories

Questions about Plan

What does Plan do?

Interactively investigate a request, compare approaches, and write the selected implementation plan to a supplied Markdown path. Plan is an agent skill from HazAT/pi-config. Interactively investigate a request, compare approaches, and write the selected implementation plan to a supplied Markdown path.

When should I use Plan?

Plan fits situations like: tasks that involve Planning; tasks that involve Brainstorming.

How do I install Plan in Claude Code?

Run `npx skills add HazAT/pi-config --skill plan -a claude-code`. Or copy the skill folder (skills/plan in HazAT/pi-config) into .claude/skills/plan in your project. Claude Code loads it when a task matches its description.

How do I install Plan in Codex?

Run `npx skills add HazAT/pi-config --skill plan -a codex`. Or copy the skill folder (skills/plan in HazAT/pi-config) into .agents/skills/plan in your project. Codex loads it when a task matches its description.

Can I use Plan in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add HazAT/pi-config --skill plan -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/plan, .gemini/skills/plan, .github/skills/plan and .opencode/skills/plan in your project.

What does Plan need to run?

SKILL.md names no scripts, command-line tools or credentials: Plan is instructions for the agent only.

Does Plan access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Plan safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Plan use?

Plan is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Plan use?

About 528 tokens (SKILL.md is roughly 2.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Plan?

Skills that share tags, products or a category with Plan: Brainstorming Before Building (jnMetaCode/superpowers-zh, 8.3k stars), LLM Council (gcpdev/llm-council-skill, 461 stars), CE Brainstorm (EveryInc/compound-engineering-plugin, 25k stars) and Plan (mhmzdev/the-holy-quran-app, 889 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Plan?

HazAT (a GitHub user) maintains it in HazAT/pi-config, which has 451 GitHub stars. The repository holds 10 skills in this directory. The repository was last updated on August 25, 2026.

Source: HazAT/pi-config on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.