What is create-agentsmd?
Prompt for generating an AGENTS. md file for a repository
github/awesome-copilot
Prompt for generating an AGENTS.md file for a repository
npx skills add https://github.com/github/awesome-copilot --skill "skills/create-agentsmd"Quick start
Install it or open the source, trigger it with a clear task, then follow the source workflow.
npx skills add https://github.com/github/awesome-copilot --skill "skills/create-agentsmd"Use create-agentsmd to help me with: [describe your task]. Before you begin, tell me what input you need, the steps you will follow, and the expected output.
No structured workflow was detected; follow the original SKILL.md below.
Continue to the workflowDirect answers
Prompt for generating an AGENTS. md file for a repository
It is relevant to workflows involving Code review, Deployment, Testing, Engineering.
SkillSignal detected this source-specific command: npx skills add https://github.com/github/awesome-copilot --skill "skills/create-agentsmd". Inspect the repository and command before running it.
The upstream source does not declare a dedicated Agent platform.
Static analysis detected write-files, exec-script signals. Review the cited source lines before installing; these signals are not a security audit.
This page combines upstream documentation with deterministic repository, quality, and static-risk signals. It is not described as a manual test or security review.
SkillSignal brief
Prompt for generating an AGENTS. md file for a repository
Useful in these contexts
Core capabilities
Quality breakdown
Based on traceable docs and repository signals; stars are not treated as quality.
Compare before choosing
These links are selected from shared tasks, functions, stacks, platforms, and same-name variants. Compare the source owner, documentation, permissions, and maintenance signals.
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Build, scaffold, and deploy Power Automate cloud flows using the FlowStudio MCP server. Your agent constructs flow definitions, wires connections, deploys, and tests — all via MCP without opening the portal. Load this skill when asked to: create a flow, build a new flow, deploy a flow definition, scaffold a Power Automate workflow, construct a flow JSON, update an existing flow's actions, patch a flow definition, add actions to a flow, wire up connections, or generate a workflow definition from
Use when creating new skills, editing existing skills, or verifying skills work before deployment
Use when working with GitHub Actions — workflow YAML, quality gates, test matrices, deployment triggers, reusable workflows — even when the user just says 'my CI is failing' or 'add a check'.
You are a code agent. Your task is to create a complete, accurate AGENTS.md at the root of this repository that follows the public guidance at https://agents.md/.
AGENTS.md is an open format designed to provide coding agents with the context and instructions they need to work effectively on a project.
AGENTS.md is a Markdown file that serves as a "README for agents" - a dedicated, predictable place to provide context and instructions to help AI coding agents work on your project. It complements README.md by containing detailed technical context that coding agents need but might clutter a human-focused README.
AGENTS.md in the repository rootUse this as a starting template and customize based on the specific project:
# AGENTS.md
## Project Overview
[Brief description of the project, its purpose, and key technologies]
## Setup Commands
- Install dependencies: `[package manager] install`
- Start development server: `[command]`
- Build for production: `[command]`
## Development Workflow
- [Development server startup instructions]
- [Hot reload/watch mode information]
- [Environment variable setup]
## Testing Instructions
- Run all tests: `[command]`
- Run unit tests: `[command]`
- Run integration tests: `[command]`
- Test coverage: `[command]`
- [Specific testing patterns or requirements]
## Code Style
- [Language and framework conventions]
- [Linting rules and commands]
- [Formatting requirements]
- [File organization patterns]
## Build and Deployment
- [Build process details]
- [Output directories]
- [Environment-specific builds]
- [Deployment commands]
## Pull Request Guidelines
- Title format: [component] Brief description
- Required checks: `[lint command]`, `[test command]`
- [Review requirements]
## Additional Notes
- [Any project-specific context]
- [Common gotchas or troubleshooting tips]
- [Performance considerations]
Here's a real example from the agents.md website:
# Sample AGENTS.md file
## Dev environment tips
- Use `pnpm dlx turbo run where <project_name>` to jump to a package instead of scanning with `ls`.
- Run `pnpm install --filter <project_name>` to add the package to your workspace so Vite, ESLint, and TypeScript can see it.
- Use `pnpm create vite@latest <project_name> -- --template react-ts` to spin up a new React + Vite package with TypeScript checks ready.
- Check the name field inside each package's package.json to confirm the right name—skip the top-level one.
## Testing instructions
- Find the CI plan in the .github/workflows folder.
- Run `pnpm turbo run test --filter <project_name>` to run every check defined for that package.
- From the package root you can just call `pnpm test`. The commit should pass all tests before you merge.
- To focus on one step, add the Vitest pattern: `pnpm vitest run -t "<test name>"`.
- Fix any test or type errors until the whole suite is green.
- After moving files or changing imports, run `pnpm lint --filter <project_name>` to be sure ESLint and TypeScript rules still pass.
- Add or update tests for the code you change, even if nobody asked.
## PR instructions
- Title format: [<project_name>] <Title>
- Always run `pnpm lint` and `pnpm test` before committing.
Analyze the project structure to understand:
Identify key workflows by examining:
Create comprehensive sections covering:
Include specific, actionable commands that agents can execute directly
Test the instructions by ensuring all commands work as documented
Keep it focused on what agents need to know, not general project information
For large monorepos:
When creating the AGENTS.md file, prioritize clarity, completeness, and actionability. The goal is to give any coding agent enough context to effectively contribute to the project without requiring additional human guidance.