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 Generate

by github in github/awesome-copilot

Structured Autonomy Implementation Generator Prompt. An agent skill from github/awesome-copilot.

OfficialMITAuto-check passed

Install Structured Autonomy Generate

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

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

GitHub CLI
$ gh skill install github/awesome-copilot structured-autonomy-generate --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-generate .claude/skills/structured-autonomy-generate && 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-generate
GitHub stars
40k
Used in
1 other repo
Token cost
~1k tokens
SKILL.md length
477 words
Files
1
Skills in repo
417
Repo updated
First seen
Licence
MIT

At a glance

Structured Autonomy Implementation Generator Prompt. An agent skill from github/awesome-copilot.

  • Works in 2 steps: Parse Plan & Research Codebase → Generate Implementation File
  • SKILL.md covers Step 1: Parse Plan & Research…, Step 2: Generate…, Goal and Prerequisites
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Structured Autonomy Generate is an agent skill from github/awesome-copilot, published by the product's own GitHub organization. Structured Autonomy Implementation Generator Prompt

Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: Community-contributed instructions, agents, skills, and configurations to help you make the most of GitHub Copilot. The licence is MIT.

Example prompts

  • “/structured-autonomy-generate”

Workflow steps

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

  1. Parse Plan & Research Codebase
  2. Generate Implementation File

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.

    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 Generate loads about 1k tokens when it runs. Until then it costs about 20 tokens; SKILL.md has 477 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~20
When it runs · the whole SKILL.md, loaded when a task matches
~1k

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). 477 words, ~1,033 tokens.

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

You are a PR implementation plan generator that creates complete, copy-paste ready implementation documentation.

Your SOLE responsibility is to:

  1. Accept a complete PR plan (plan.md in plans/{feature-name}/)
  2. Extract all implementation steps from the plan
  3. Generate comprehensive step documentation with complete code
  4. Save plan to: plans/{feature-name}/implementation.md

Follow the <workflow> below to generate and save implementation files for each step in the plan.

<workflow>

Step 1: Parse Plan & Research Codebase

  1. Read the plan.md file to extract:
    • Feature name and branch (determines root folder: plans/{feature-name}/)
    • Implementation steps (numbered 1, 2, 3, etc.)
    • Files affected by each step
  2. Run comprehensive research ONE TIME using <research_task>. Use runSubagent to execute. Do NOT pause.
  3. Once research returns, proceed to Step 2 (file generation).

Step 2: Generate Implementation File

Output the plan as a COMPLETE markdown document using the <plan_template>, ready to be saved as a .md file.

The plan MUST include:

  • Complete, copy-paste ready code blocks with ZERO modifications needed
  • Exact file paths appropriate to the project structure
  • Markdown checkboxes for EVERY action item
  • Specific, observable, testable verification points
  • NO ambiguity - every instruction is concrete
  • NO "decide for yourself" moments - all decisions made based on research
  • Technology stack and dependencies explicitly stated
  • Build/test commands specific to the project type
</workflow>

<research_task> For the entire project described in the master plan, research and gather:

  1. Project-Wide Analysis:

    • Project type, technology stack, versions
    • Project structure and folder organization
    • Coding conventions and naming patterns
    • Build/test/run commands
    • Dependency management approach

  2. Code Patterns Library:

    • Collect all existing code patterns
    • Document error handling patterns
    • Record logging/debugging approaches
    • Identify utility/helper patterns
    • Note configuration approaches

  3. Architecture Documentation:

    • How components interact
    • Data flow patterns
    • API conventions
    • State management (if applicable)
    • Testing strategies

  4. Official Documentation:

    • Fetch official docs for all major libraries/frameworks
    • Document APIs, syntax, parameters
    • Note version-specific details
    • Record known limitations and gotchas
    • Identify permission/capability requirements

Return a comprehensive research package covering the entire project context. </research_task>

<plan_template>

Show full SKILL.md (154 more words)Show less

{FEATURE_NAME}

Goal

{One sentence describing exactly what this implementation accomplishes}

Prerequisites

Make sure that the use is currently on the {feature-name} branch before beginning implementation. If not, move them to the correct branch. If the branch does not exist, create it from main.

Step-by-Step Instructions
Step 1: {Action}
  • {Specific instruction 1}
  • Copy and paste code below into {file}:
language
{COMPLETE, TESTED CODE - NO PLACEHOLDERS - NO "TODO" COMMENTS}
  • {Specific instruction 2}
  • Copy and paste code below into {file}:
language
{COMPLETE, TESTED CODE - NO PLACEHOLDERS - NO "TODO" COMMENTS}
Step 1 Verification Checklist
  • No build errors
  • Specific instructions for UI verification (if applicable)
Step 1 STOP & COMMIT

STOP & COMMIT: Agent must stop here and wait for the user to test, stage, and commit the change.

Step 2: {Action}
  • {Specific Instruction 1}
  • Copy and paste code below into {file}:
language
{COMPLETE, TESTED CODE - NO PLACEHOLDERS - NO "TODO" COMMENTS}
Step 2 Verification Checklist
  • No build errors
  • Specific instructions for UI verification (if applicable)
Step 2 STOP & COMMIT

STOP & COMMIT: Agent must stop here and wait for the user to test, stage, and commit the change. </plan_template>

© 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-generate 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 Generate 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 Generate compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Structured Autonomy Generate this skillgithub/awesome-copilot40k1 repos~1kAutomated safety check: PassMIT
Generatealirezarezvani/claude-skills28k1 repos~1.1kAutomated safety check: PassMIT
Fal Generatenexu-io/open-design100k—~306Automated safety check: PassApache-2.0
Video Generationbytedance/deer-flow83k3 repos~1.4kAutomated safety check: PassMIT
Image Generationonyx-dot-app/onyx32k1 repos~1.7kAutomated safety check: PassCustom licence
Structured Image Generationbytedance/deer-flow83k5 repos~2.9kAutomated safety check: PassMIT

Similar skills

  • Generate

    alirezarezvani/claude-skills

    Generate Playwright tests. An agent skill from alirezarezvani/claude-skills.

    28k GitHub starsUsed in 1 repo~1.1k tokens
    Testing & QAAuto-check passed

  • Fal Generate

    nexu-io/open-design

    Generate images and videos using fal.ai AI models. An agent skill from nexu-io/open-design.

    100k GitHub stars~306 tokensUpdated today
    Media & CreativeAuto-check passed

  • Video Generation

    bytedance/deer-flow

    Generates short videos from a structured JSON prompt, optionally guided by a reference image used as the first or last frame.

    83k GitHub starsUsed in 3 repos~1.4k tokens
    Media & CreativeAuto-check passed

  • Image Generation

    onyx-dot-app/onyx

    Generate or edit raster images (photos, illustrations, textures, sprites, mockups, logos, infographics) using the workspace's configured image-generation provider via onyx-cli image.

    32k GitHub starsUsed in 1 repo~1.7k tokens
    Media & CreativeAuto-check passed

  • Structured Image Generation

    bytedance/deer-flow

    Turns an image request into a structured JSON prompt and runs a bundled Python script to generate the picture, optionally guided by reference images.

    83k GitHub starsUsed in 5 repos~2.9k tokens
    Media & CreativeAuto-check passed

  • Generate Nanobanana

    sickn33/agentic-awesome-skills

    Generate and edit images/video with Google's Gemini media models (Nano Banana 2/Pro, Gemini Omni Flash), with cost-approval gates, reference-image support, and a prompt/output log per call.

    47k GitHub starsUsed in 1 repo~2.8k tokens
    Media & CreativeAuto-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 Generate

What does Structured Autonomy Generate do?

Structured Autonomy Implementation Generator Prompt. An agent skill from github/awesome-copilot. Structured Autonomy Generate is an agent skill from github/awesome-copilot, published by the product's own GitHub organization.

How do I install Structured Autonomy Generate in Claude Code?

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

How do I install Structured Autonomy Generate in Codex?

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

Can I use Structured Autonomy Generate 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-generate -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-generate, .gemini/skills/structured-autonomy-generate, .github/skills/structured-autonomy-generate and .opencode/skills/structured-autonomy-generate in your project.

What does Structured Autonomy Generate need to run?

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

Does Structured Autonomy Generate 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 Generate 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 Generate use?

Structured Autonomy Generate 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 Generate use?

About 1k tokens (SKILL.md is roughly 4.1k 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 Structured Autonomy Generate?

Skills that share tags, products or a category with Structured Autonomy Generate: Generate (alirezarezvani/claude-skills, 28k stars), Fal Generate (nexu-io/open-design, 100k stars), Video Generation (bytedance/deer-flow, 83k stars) and Image Generation (onyx-dot-app/onyx, 32k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Structured Autonomy Generate?

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.