New: 97,000+ skills indexed from GitHub repos with 100+ stars · every skill safety-checkedBrowse top skillsTop skills
Esc to closeBrowse all skills
Submit a skillBrowse skills
Submit a skillBrowse skills

Official agent skill

Structured Autonomy Plan

by github in github/awesome-copilot

“Structured Autonomy Planning Prompt”

— description from SKILL.md by github
OfficialMITAuto-check passed

Install Structured Autonomy Plan

skills CLI
$ npx skills add github/awesome-copilot --skill structured-autonomy-plan -a claude-code

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

GitHub CLI
$ gh skill install github/awesome-copilot structured-autonomy-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/github/awesome-copilot.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/structured-autonomy-plan .claude/skills/structured-autonomy-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
structured-autonomy-plan
GitHub stars
40k
Used in
1 other repo
Token cost
~759 tokens
SKILL.md length
315 words
Files
1
Skills in repo
417
Repo updated
First seen
Licence
MIT

At a glance

  • Works in 3 steps: Research and Gather Context → Determine Commits → Plan Generation
  • SKILL.md covers Step 1: Research and Gather…, Step 2: Determine Commits and Step 3: Plan Generation
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

About this skill

Structured Autonomy Plan is an official skill in github/awesome-copilot (40k stars). Its SKILL.md is about 759 tokens, and copies of it appear in 1 other owners' repositories. Licence: MIT.

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. Research and Gather Context
  2. Determine Commits
  3. Plan Generation

What it can do on your machine

Read from SKILL.md and the folder at commit 727ff2e. 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

Structured Autonomy Plan loads about 759 tokens when it runs. Until then it costs about 15 tokens; SKILL.md has 315 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~15
When it runs · the whole SKILL.md, loaded when a task matches
~759

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 github/awesome-copilot at commit 727ff2e, republished under its MIT licence (© github). 315 words, ~759 tokens.

Download SKILL.mdSave it as .claude/skills/structured-autonomy-plan/SKILL.md (or your agent's skills folder).
name
structured-autonomy-plan
description
Structured Autonomy Planning Prompt

You are a Project Planning Agent that collaborates with users to design development plans.

A development plan defines a clear path to implement the user's request. During this step you will not write any code. Instead, you will research, analyze, and outline a plan.

Assume that this entire plan will be implemented in a single pull request (PR) on a dedicated branch. Your job is to define the plan in steps that correspond to individual commits within that PR.

<workflow>

Step 1: Research and Gather Context

MANDATORY: Run #tool:runSubagent tool instructing the agent to work autonomously following <research_guide> to gather context. Return all findings.

DO NOT do any other tool calls after #tool:runSubagent returns!

If #tool:runSubagent is unavailable, execute <research_guide> via tools yourself.

Step 2: Determine Commits

Analyze the user's request and break it down into commits:

  • For SIMPLE features, consolidate into 1 commit with all changes.
  • For COMPLEX features, break into multiple commits, each representing a testable step toward the final goal.

Step 3: Plan Generation

  1. Generate draft plan using <output_template> with [NEEDS CLARIFICATION] markers where the user's input is needed.
  2. Save the plan to "plans/{feature-name}/plan.md"
  3. Ask clarifying questions for any [NEEDS CLARIFICATION] sections
  4. MANDATORY: Pause for feedback
  5. If feedback received, revise plan and go back to Step 1 for any research needed
</workflow>

<output_template> File: plans/{feature-name}/plan.md

markdown
# {Feature Name}

**Branch:** `{kebab-case-branch-name}`
**Description:** {One sentence describing what gets accomplished}

## Goal
{1-2 sentences describing the feature and why it matters}

## Implementation Steps

### Step 1: {Step Name} [SIMPLE features have only this step]
**Files:** {List affected files: Service/HotKeyManager.cs, Models/PresetSize.cs, etc.}
**What:** {1-2 sentences describing the change}
**Testing:** {How to verify this step works}

### Step 2: {Step Name} [COMPLEX features continue]
**Files:** {affected files}
**What:** {description}
**Testing:** {verification method}

### Step 3: {Step Name}
...

</output_template>

<research_guide>

Research the user's feature request comprehensively:

  1. Code Context: Semantic search for related features, existing patterns, affected services
  2. Documentation: Read existing feature documentation, architecture decisions in codebase
  3. Dependencies: Research any external APIs, libraries, or Windows APIs needed. Use #context7 if available to read relevant documentation. ALWAYS READ THE DOCUMENTATION FIRST.
  4. Patterns: Identify how similar features are implemented in ResizeMe

Use official documentation and reputable sources. If uncertain about patterns, research before proposing.

Stop research at 80% confidence you can break down the feature into testable phases.

</research_guide>

© github, 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/structured-autonomy-plan of github/awesome-copilot.

Open the folder on GitHubat commit 727ff2e

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in github/awesome-copilot, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Structured Autonomy 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.

Structured Autonomy Plan compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Structured Autonomy Plan this skillgithub/awesome-copilot40k1 repos~759Automated safety check: PassMIT
Kraken Autonomy Levelskrakenfx/kraken-cli747—~1.3kAutomated safety check: PassMIT
Hk Autonomy Auditdeepklarity/harness-kit1001 repos~2.5kAutomated safety check: NotesMIT
Counterparty Channel Disciplineaffaan-m/ECC274k—~2.3kAutomated safety check: PassMIT
Audit Fsmvalory-xyz/open-autonomy129—~16kAutomated safety check: PassApache-2.0
Drive Motivationwondelai/skills2.4k—~3.1kAutomated safety check: PassMIT

Similar skills

  • Kraken Autonomy Levels

    krakenfx/kraken-cli

    Progress from manual trading to full agent autonomy with controlled risk at each level.

    747 GitHub stars~1.3k tokensUpdated 2 mo ago
    Business, Finance & HRAuto-check passed

  • Hk Autonomy Audit

    deepklarity/harness-kit

    Audit whether an AI agent can autonomously close the loop on problems in a given area — from discovering a symptom to verifying a fix — without human intervention.

    100 GitHub starsUsed in 1 repo~2.5k tokens
    DevelopmentAuto-check: notes

  • Counterparty Channel Discipline

    affaan-m/ECC

    Per-channel strict prompts, mention gating, silent observation, and a communication autonomy policy for agents that sit in shared channels with external counterparties.

    274k GitHub stars~2.3k tokensUpdated 2 days ago
    Productivity & AutomationAuto-check passed

  • Audit Fsm

    valory-xyz/open-autonomy

    Audit open-autonomy FSM apps for correctness and safety. An agent skill from valory-xyz/open-autonomy.

    129 GitHub stars~16k tokensUpdated 23 days ago
    Auto-check passed

  • Drive Motivation

    wondelai/skills

    Design motivation systems using Autonomy, Mastery, and Purpose (AMP) for products and teams.

    2.4k GitHub stars~3.1k tokensUpdated 26 days ago
    Auto-check passed

  • Botlearn Healthcheck

    LeoYeAI/openclaw-master-skills

    Autonomously inspects a live OpenClaw instance across 5 health domains (hardware, config, security, skills, autonomy) and delivers a quantified traffic-light report with actionable fix guidance.

    2.2k GitHub stars~5.3k tokensUpdated 2 mo ago
    Auto-check: notes

More from github/awesome-copilot

All 417 skills in this repo

  • Acquire Codebase Knowledge

    github/awesome-copilot

    Official

    Maps an unfamiliar codebase into seven evidence-backed documents in docs/codebase/, using a scan script and templates, for onboarding or architecture write-ups.

    40k GitHub starsUsed in 1 repo~2.3k tokens
    Auto-check passed

  • Azure Architecture Autopilot

    github/awesome-copilot

    Official

    Designs Azure infrastructure from a natural-language description, or diagrams an existing resource group, then refines the design through conversation and deploys it with Bicep.

    40k GitHub starsUsed in 1 repo~1.9k tokens
    Auto-check passed

  • Draw.io Diagram Generator

    github/awesome-copilot

    Official

    Generates, edits and validates draw.io files with correct mxGraph XML, covering flowcharts, architecture, sequence, ER and UML class diagrams.

    40k GitHub starsUsed in 1 repo~4.9k tokens
    Auto-check passed

  • Credit Risk Data Cleaning

    github/awesome-copilot

    Official

    Cleans raw credit data and screens variables before loan modeling, dropping unstable, noisy or redundant features and writing an Excel report of every step.

    40k GitHub starsUsed in 1 repo~1.5k tokens
    Auto-check passed

  • Daily Focus Board

    github/awesome-copilot

    Official

    Builds a warm, browser-based daily focus board the user updates by talking to their agent, with Eisenhower priorities, a brain-dump box and kind not-today carryover.

    40k GitHub stars~3k tokensUpdated today
    Auto-check passed

  • Python Pypi Package Builder

    github/awesome-copilot

    Official

    End-to-end skill for building, testing, linting, versioning, and publishing a production-grade Python library to PyPI.

    40k GitHub starsUsed in 1 repo~4.6k tokens
    Auto-check passed

Questions about Structured Autonomy Plan

How do I install Structured Autonomy Plan in Claude Code?

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

How do I install Structured Autonomy Plan in Codex?

Run `npx skills add github/awesome-copilot --skill structured-autonomy-plan -a codex`. Or copy the skill folder (skills/structured-autonomy-plan in github/awesome-copilot) into .agents/skills/structured-autonomy-plan in your project. Codex loads it when a task matches its description.

Can I use Structured Autonomy 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 github/awesome-copilot --skill structured-autonomy-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/structured-autonomy-plan, .gemini/skills/structured-autonomy-plan, .github/skills/structured-autonomy-plan and .opencode/skills/structured-autonomy-plan in your project.

What does Structured Autonomy Plan need to run?

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

Does Structured Autonomy 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 Structured Autonomy 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 Structured Autonomy Plan use?

Structured Autonomy 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 Structured Autonomy Plan use?

About 759 tokens (SKILL.md is roughly 3k 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 Structured Autonomy Plan?

Skills that share tags, products or a category with Structured Autonomy Plan: Kraken Autonomy Levels (krakenfx/kraken-cli, 747 stars), Hk Autonomy Audit (deepklarity/harness-kit, 100 stars), Counterparty Channel Discipline (affaan-m/ECC, 274k stars) and Audit Fsm (valory-xyz/open-autonomy, 129 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Structured Autonomy Plan?

github (a GitHub organization, an official publisher) maintains it in github/awesome-copilot, which has 39,748 GitHub stars. The repository holds 417 skills in this directory. The repository was last updated on October 7, 2026.

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