Official agent skill

Copilot Instructions Blueprint Generator

by github in github/awesome-copilot

Technology-agnostic blueprint generator for creating comprehensive copilot-instructions.md files that guide GitHub Copilot to produce code consistent with project standards, architecture patterns…

OfficialMITAuto-check passedAgent Workflows

Install Copilot Instructions Blueprint Generator

skills CLI
$ npx skills add github/awesome-copilot --skill copilot-instructions-blueprint-generator -a claude-code

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

GitHub CLI
$ gh skill install github/awesome-copilot copilot-instructions-blueprint-generator --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/copilot-instructions-blueprint-generator .claude/skills/copilot-instructions-blueprint-generator && 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
copilot-instructions-blueprint-generator
GitHub stars
40k
Used in
3 other repos
Token cost
~3.7k tokens
SKILL.md length
305 words
Files
1
Skills in repo
417
Repo updated
First seen
Licence
MIT

At a glance

Technology-agnostic blueprint generator for creating comprehensive copilot-instructions.md files that guide GitHub Copilot to produce code consistent with project standards, architecture patterns…

  • Works in 3 steps: Core Instruction Structure → Codebase Analysis Instructions → Implementation Notes
  • Tasks that involve Agent instruction files
  • SKILL.md covers Configuration Variables, Generated Prompt and Expected Output
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Copilot Instructions Blueprint Generator is an agent skill from github/awesome-copilot, published by the product's own GitHub organization. Technology-agnostic blueprint generator for creating comprehensive copilot-instructions.md files that guide GitHub Copilot to produce code consistent with project standards, architecture patterns, and exact technology versions by analyzing existing codebase patterns and avoiding assumptions.

Its SKILL.md is about 3.7k 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 Agent instruction files and Software architecture. 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.

When your agent uses it

  • Tasks that involve Agent instruction files
  • Tasks that involve Software architecture

Example prompts

  • “/copilot-instructions-blueprint-generator”

Requirements

  • Python 3

Workflow steps

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

  1. Core Instruction Structure
  2. Codebase Analysis Instructions
  3. Implementation Notes

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

Copilot Instructions Blueprint Generator loads about 3.7k tokens when it runs. Until then it costs about 83 tokens; SKILL.md has 305 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~83
When it runs · the whole SKILL.md, loaded when a task matches
~3.7k

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). 305 words, ~3,696 tokens.

Download SKILL.mdSave it as .claude/skills/copilot-instructions-blueprint-generator/SKILL.md (or your agent's skills folder).
name
copilot-instructions-blueprint-generator
description
Technology-agnostic blueprint generator for creating comprehensive copilot-instructions.md files that guide GitHub Copilot to produce code consistent with project standards, architecture patterns, and exact technology versions by analyzing existing codebase patterns and avoiding assumptions.

Copilot Instructions Blueprint Generator

Configuration Variables

${PROJECT_TYPE="Auto-detect|.NET|Java|JavaScript|TypeScript|React|Angular|Python|Multiple|Other"} <!-- Primary technology --> ${ARCHITECTURE_STYLE="Layered|Microservices|Monolithic|Domain-Driven|Event-Driven|Serverless|Mixed"} <!-- Architectural approach --> ${CODE_QUALITY_FOCUS="Maintainability|Performance|Security|Accessibility|Testability|All"} <!-- Quality priorities --> ${DOCUMENTATION_LEVEL="Minimal|Standard|Comprehensive"} <!-- Documentation requirements --> ${TESTING_REQUIREMENTS="Unit|Integration|E2E|TDD|BDD|All"} <!-- Testing approach --> ${VERSIONING="Semantic|CalVer|Custom"} <!-- Versioning approach -->

Generated Prompt

"Generate a comprehensive copilot-instructions.md file that will guide GitHub Copilot to produce code consistent with our project's standards, architecture, and technology versions. The instructions must be strictly based on actual code patterns in our codebase and avoid making any assumptions. Follow this approach:

1. Core Instruction Structure
markdown
# GitHub Copilot Instructions

## Priority Guidelines

When generating code for this repository:

1. **Version Compatibility**: Always detect and respect the exact versions of languages, frameworks, and libraries used in this project
2. **Context Files**: Prioritize patterns and standards defined in the .github/copilot directory
3. **Codebase Patterns**: When context files don't provide specific guidance, scan the codebase for established patterns
4. **Architectural Consistency**: Maintain our ${ARCHITECTURE_STYLE} architectural style and established boundaries
5. **Code Quality**: Prioritize ${CODE_QUALITY_FOCUS == "All" ? "maintainability, performance, security, accessibility, and testability" : CODE_QUALITY_FOCUS} in all generated code

## Technology Version Detection

Before generating code, scan the codebase to identify:

1. **Language Versions**: Detect the exact versions of programming languages in use
   - Examine project files, configuration files, and package managers
   - Look for language-specific version indicators (e.g., <LangVersion> in .NET projects)
   - Never use language features beyond the detected version

2. **Framework Versions**: Identify the exact versions of all frameworks
   - Check package.json, .csproj, pom.xml, requirements.txt, etc.
   - Respect version constraints when generating code
   - Never suggest features not available in the detected framework versions

3. **Library Versions**: Note the exact versions of key libraries and dependencies
   - Generate code compatible with these specific versions
   - Never use APIs or features not available in the detected versions

## Context Files

Prioritize the following files in .github/copilot directory (if they exist):

- **architecture.md**: System architecture guidelines
- **tech-stack.md**: Technology versions and framework details
- **coding-standards.md**: Code style and formatting standards
- **folder-structure.md**: Project organization guidelines
- **exemplars.md**: Exemplary code patterns to follow

## Codebase Scanning Instructions

When context files don't provide specific guidance:

1. Identify similar files to the one being modified or created
2. Analyze patterns for:
   - Naming conventions
   - Code organization
   - Error handling
   - Logging approaches
   - Documentation style
   - Testing patterns
   
3. Follow the most consistent patterns found in the codebase
4. When conflicting patterns exist, prioritize patterns in newer files or files with higher test coverage
5. Never introduce patterns not found in the existing codebase

## Code Quality Standards

${CODE_QUALITY_FOCUS.includes("Maintainability") || CODE_QUALITY_FOCUS == "All" ? `### Maintainability
- Write self-documenting code with clear naming
- Follow the naming and organization conventions evident in the codebase
- Follow established patterns for consistency
- Keep functions focused on single responsibilities
- Limit function complexity and length to match existing patterns` : ""}

${CODE_QUALITY_FOCUS.includes("Performance") || CODE_QUALITY_FOCUS == "All" ? `### Performance
- Follow existing patterns for memory and resource management
- Match existing patterns for handling computationally expensive operations
- Follow established patterns for asynchronous operations
- Apply caching consistently with existing patterns
- Optimize according to patterns evident in the codebase` : ""}

${CODE_QUALITY_FOCUS.includes("Security") || CODE_QUALITY_FOCUS == "All" ? `### Security
- Follow existing patterns for input validation
- Apply the same sanitization techniques used in the codebase
- Use parameterized queries matching existing patterns
- Follow established authentication and authorization patterns
- Handle sensitive data according to existing patterns` : ""}

${CODE_QUALITY_FOCUS.includes("Accessibility") || CODE_QUALITY_FOCUS == "All" ? `### Accessibility
- Follow existing accessibility patterns in the codebase
- Match ARIA attribute usage with existing components
- Maintain keyboard navigation support consistent with existing code
- Follow established patterns for color and contrast
- Apply text alternative patterns consistent with the codebase` : ""}

${CODE_QUALITY_FOCUS.includes("Testability") || CODE_QUALITY_FOCUS == "All" ? `### Testability
- Follow established patterns for testable code
- Match dependency injection approaches used in the codebase
- Apply the same patterns for managing dependencies
- Follow established mocking and test double patterns
- Match the testing style used in existing tests` : ""}

## Documentation Requirements

${DOCUMENTATION_LEVEL == "Minimal" ? 
`- Match the level and style of comments found in existing code
- Document according to patterns observed in the codebase
- Follow existing patterns for documenting non-obvious behavior
- Use the same format for parameter descriptions as existing code` : ""}

${DOCUMENTATION_LEVEL == "Standard" ? 
`- Follow the exact documentation format found in the codebase
- Match the XML/JSDoc style and completeness of existing comments
- Document parameters, returns, and exceptions in the same style
- Follow existing patterns for usage examples
- Match class-level documentation style and content` : ""}

${DOCUMENTATION_LEVEL == "Comprehensive" ? 
`- Follow the most detailed documentation patterns found in the codebase
- Match the style and completeness of the best-documented code
- Document exactly as the most thoroughly documented files do
- Follow existing patterns for linking documentation
- Match the level of detail in explanations of design decisions` : ""}

## Testing Approach

${TESTING_REQUIREMENTS.includes("Unit") || TESTING_REQUIREMENTS == "All" ? 
`### Unit Testing
- Match the exact structure and style of existing unit tests
- Follow the same naming conventions for test classes and methods
- Use the same assertion patterns found in existing tests
- Apply the same mocking approach used in the codebase
- Follow existing patterns for test isolation` : ""}

${TESTING_REQUIREMENTS.includes("Integration") || TESTING_REQUIREMENTS == "All" ? 
`### Integration Testing
- Follow the same integration test patterns found in the codebase
- Match existing patterns for test data setup and teardown
- Use the same approach for testing component interactions
- Follow existing patterns for verifying system behavior` : ""}

${TESTING_REQUIREMENTS.includes("E2E") || TESTING_REQUIREMENTS == "All" ? 
`### End-to-End Testing
- Match the existing E2E test structure and patterns
- Follow established patterns for UI testing
- Apply the same approach for verifying user journeys` : ""}

${TESTING_REQUIREMENTS.includes("TDD") || TESTING_REQUIREMENTS == "All" ? 
`### Test-Driven Development
- Follow TDD patterns evident in the codebase
- Match the progression of test cases seen in existing code
- Apply the same refactoring patterns after tests pass` : ""}

${TESTING_REQUIREMENTS.includes("BDD") || TESTING_REQUIREMENTS == "All" ? 
`### Behavior-Driven Development
- Match the existing Given-When-Then structure in tests
- Follow the same patterns for behavior descriptions
- Apply the same level of business focus in test cases` : ""}

## Technology-Specific Guidelines

${PROJECT_TYPE == ".NET" || PROJECT_TYPE == "Auto-detect" || PROJECT_TYPE == "Multiple" ? `### .NET Guidelines
- Detect and strictly adhere to the specific .NET version in use
- Use only C# language features compatible with the detected version
- Follow LINQ usage patterns exactly as they appear in the codebase
- Match async/await usage patterns from existing code
- Apply the same dependency injection approach used in the codebase
- Use the same collection types and patterns found in existing code` : ""}

${PROJECT_TYPE == "Java" || PROJECT_TYPE == "Auto-detect" || PROJECT_TYPE == "Multiple" ? `### Java Guidelines
- Detect and adhere to the specific Java version in use
- Follow the exact same design patterns found in the codebase
- Match exception handling patterns from existing code
- Use the same collection types and approaches found in the codebase
- Apply the dependency injection patterns evident in existing code` : ""}

${PROJECT_TYPE == "JavaScript" || PROJECT_TYPE == "TypeScript" || PROJECT_TYPE == "Auto-detect" || PROJECT_TYPE == "Multiple" ? `### JavaScript/TypeScript Guidelines
- Detect and adhere to the specific ECMAScript/TypeScript version in use
- Follow the same module import/export patterns found in the codebase
- Match TypeScript type definitions with existing patterns
- Use the same async patterns (promises, async/await) as existing code
- Follow error handling patterns from similar files` : ""}

${PROJECT_TYPE == "React" || PROJECT_TYPE == "Auto-detect" || PROJECT_TYPE == "Multiple" ? `### React Guidelines
- Detect and adhere to the specific React version in use
- Match component structure patterns from existing components
- Follow the same hooks and lifecycle patterns found in the codebase
- Apply the same state management approach used in existing components
- Match prop typing and validation patterns from existing code` : ""}

${PROJECT_TYPE == "Angular" || PROJECT_TYPE == "Auto-detect" || PROJECT_TYPE == "Multiple" ? `### Angular Guidelines
- Detect and adhere to the specific Angular version in use
- Follow the same component and module patterns found in the codebase
- Match decorator usage exactly as seen in existing code
- Apply the same RxJS patterns found in the codebase
- Follow existing patterns for component communication` : ""}

${PROJECT_TYPE == "Python" || PROJECT_TYPE == "Auto-detect" || PROJECT_TYPE == "Multiple" ? `### Python Guidelines
- Detect and adhere to the specific Python version in use
- Follow the same import organization found in existing modules
- Match type hinting approaches if used in the codebase
- Apply the same error handling patterns found in existing code
- Follow the same module organization patterns` : ""}

## Version Control Guidelines

${VERSIONING == "Semantic" ? 
`- Follow Semantic Versioning patterns as applied in the codebase
- Match existing patterns for documenting breaking changes
- Follow the same approach for deprecation notices` : ""}

${VERSIONING == "CalVer" ? 
`- Follow Calendar Versioning patterns as applied in the codebase
- Match existing patterns for documenting changes
- Follow the same approach for highlighting significant changes` : ""}

${VERSIONING == "Custom" ? 
`- Match the exact versioning pattern observed in the codebase
- Follow the same changelog format used in existing documentation
- Apply the same tagging conventions used in the project` : ""}

## General Best Practices

- Follow naming conventions exactly as they appear in existing code
- Match code organization patterns from similar files
- Apply error handling consistent with existing patterns
- Follow the same approach to testing as seen in the codebase
- Match logging patterns from existing code
- Use the same approach to configuration as seen in the codebase

## Project-Specific Guidance

- Scan the codebase thoroughly before generating any code
- Respect existing architectural boundaries without exception
- Match the style and patterns of surrounding code
- When in doubt, prioritize consistency with existing code over external best practices
2. Codebase Analysis Instructions

To create the copilot-instructions.md file, first analyze the codebase to:

  1. Identify Exact Technology Versions:

    • ${PROJECT_TYPE == "Auto-detect" ? "Detect all programming languages, frameworks, and libraries by scanning file extensions and configuration files" : Focus on ${PROJECT_TYPE} technologies}
    • Extract precise version information from project files, package.json, .csproj, etc.
    • Document version constraints and compatibility requirements
  2. Understand Architecture:

    • Analyze folder structure and module organization
    • Identify clear layer boundaries and component relationships
    • Document communication patterns between components
  3. Document Code Patterns:

    • Catalog naming conventions for different code elements
    • Note documentation styles and completeness
    • Document error handling patterns
    • Map testing approaches and coverage
  4. Note Quality Standards:

    • Identify performance optimization techniques actually used
    • Document security practices implemented in the code
    • Note accessibility features present (if applicable)
    • Document code quality patterns evident in the codebase
3. Implementation Notes

The final copilot-instructions.md should:

  • Be placed in the .github/copilot directory
  • Reference only patterns and standards that exist in the codebase
  • Include explicit version compatibility requirements
  • Avoid prescribing any practices not evident in the code
  • Provide concrete examples from the codebase
  • Be comprehensive yet concise enough for Copilot to effectively use

Important: Only include guidance based on patterns actually observed in the codebase. Explicitly instruct Copilot to prioritize consistency with existing code over external best practices or newer language features. "

Expected Output

A comprehensive copilot-instructions.md file that will guide GitHub Copilot to produce code that is perfectly compatible with your existing technology versions and follows your established patterns and architecture.

© 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/copilot-instructions-blueprint-generator of github/awesome-copilot.

Open the folder on GitHubat commit 727ff2e

Used in 3 other repositories

We found 3 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 3 other GitHub owners. This page covers the copy in github/awesome-copilot, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Copilot Instructions Blueprint Generator 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.

Copilot Instructions Blueprint Generator compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Copilot Instructions Blueprint Generator this skillgithub/awesome-copilot40k3 repos~3.7kAutomated safety check: PassMIT
Py Rigmudrii/hermesd119—~6.3kAutomated safety check: PassMIT
Clean Architecture Rulesciembor/agent-rules-books2.9k—~166Automated safety check: PassMIT
Using Agent Skillsaddyosmani/agent-skills102k4 repos~2.4kAutomated safety check: PassMIT
Claude ReflectBayramAnnakov/claude-reflect1.7k2 repos~627Automated safety check: PassMIT
Neat-Freak Knowledge CloseoutKKKKhazix/khazix-skills21k—~1.9kAutomated safety check: PassMIT

Similar skills

  • Py Rig

    mudrii/hermesd

    A skill your agent uses when building, reviewing, or refactoring Python code that requires strong maintainability discipline: SRP, DRY, OCP, explicit dependency injection, TDD/ATDD workflow, strict…

    119 GitHub stars~6.3k tokensUpdated 6 days ago
    DevelopmentAuto-check passed
  • Clean Architecture Rules

    ciembor/agent-rules-books

    Apply Robert C. Martin-inspired architecture rules when separating business policy from frameworks, databases, UI, or infrastructure details.

    2.9k GitHub stars~166 tokensUpdated 27 days ago
    DevelopmentAuto-check passed
  • Using Agent Skills

    addyosmani/agent-skills

    Meta-skill for choosing which workflow skill fits the task at hand, plus always-on habits: surface assumptions, stop on confusion, push back, keep it simple and stay in scope.

    102k GitHub starsUsed in 4 repos~2.4k tokens
    Agent WorkflowsAuto-check passed
  • Claude Reflect

    BayramAnnakov/claude-reflect

    Self-learning system that captures corrections during sessions and reminds users to run /reflect to update CLAUDE.md.

    1.7k GitHub starsUsed in 2 repos~627 tokens
    Agent WorkflowsAuto-check passed
  • Neat-Freak Knowledge Closeout

    KKKKhazix/khazix-skills

    Brings project docs, agent rule files, authorized memory and leftover workspace files back in line with what the code and runtime actually do at the end of a work session.

    21k GitHub stars~1.9k tokensUpdated 6 days ago
    Agent WorkflowsAuto-check passed
  • Task Observer

    rebelytics/one-skill-to-rule-them-all

    Monitors task execution for skill improvement opportunities.

    3.2k GitHub starsUsed in 1 repo~12k tokens
    Agent WorkflowsAuto-check passed

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

Categories

Questions about Copilot Instructions Blueprint Generator

What does Copilot Instructions Blueprint Generator do?

Technology-agnostic blueprint generator for creating comprehensive copilot-instructions.md files that guide GitHub Copilot to produce code consistent with project standards, architecture patterns…. Copilot Instructions Blueprint Generator is an agent skill from github/awesome-copilot, published by the product's own GitHub organization.md files that guide GitHub Copilot to produce code consistent with project standards, architecture patterns, and exact technology versions by analyzing existing codebase patterns and avoiding assumptions.

When should I use Copilot Instructions Blueprint Generator?

Copilot Instructions Blueprint Generator fits situations like: tasks that involve Agent instruction files; tasks that involve Software architecture.

How do I install Copilot Instructions Blueprint Generator in Claude Code?

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

How do I install Copilot Instructions Blueprint Generator in Codex?

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

Can I use Copilot Instructions Blueprint Generator 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 copilot-instructions-blueprint-generator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/copilot-instructions-blueprint-generator, .gemini/skills/copilot-instructions-blueprint-generator, .github/skills/copilot-instructions-blueprint-generator and .opencode/skills/copilot-instructions-blueprint-generator in your project.

What does Copilot Instructions Blueprint Generator need to run?

SKILL.md names no scripts, command-line tools or credentials: Copilot Instructions Blueprint Generator is instructions for the agent only. Our summary lists: Python 3.

Does Copilot Instructions Blueprint Generator 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 Copilot Instructions Blueprint Generator 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 Copilot Instructions Blueprint Generator use?

Copilot Instructions Blueprint Generator 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 Copilot Instructions Blueprint Generator use?

About 3.7k tokens (SKILL.md is roughly 15k 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 Copilot Instructions Blueprint Generator?

Skills that share tags, products or a category with Copilot Instructions Blueprint Generator: Py Rig (mudrii/hermesd, 119 stars), Clean Architecture Rules (ciembor/agent-rules-books, 2.9k stars), Using Agent Skills (addyosmani/agent-skills, 102k stars) and Claude Reflect (BayramAnnakov/claude-reflect, 1.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Copilot Instructions Blueprint Generator?

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.