用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt;运行前请先检查来源。
npx skills add https://github.com/ComeOnOliver/skillshub --skill create-agentsmd命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地?可下载 SkillsMP 当前能够提供的文件。
Review product and feature risk before an AI coding agent starts implementation.
Use Xquik for X data and confirmation-gated X actions: tweet search, user lookup, follower export, media download, monitors, webhooks, MCP, and SDK workflows.
Canton Network open-source ecosystem guide covering DAML SDK, Canton runtime, and Splice applications. Use when working with Canton Network, DAML smart contracts, or building decentralized applications.
正在显示 SKILL.md
基于 SOC 职业分类
| name | create-agentsmd |
| description | Prompt for generating an AGENTS.md file for a repository |
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.