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agents-md-crafterMD 特工

Agent Skill

agents-md-crafter 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

186

周安装

8

GitHub Stars

1

下载量

65
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:agents-md-crafter(MD 特工)
来源仓库:https://github.com/zenless-lab/skills
仓库路径:skills/agents-md-crafter
安装命令:
npx skills add https://github.com/zenless-lab/skills --skill agents-md-crafter
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/zenless-lab/skills --skill agents-md-crafter

简介

agents-md-crafter 创建标准化的 AGENTS.md 文件,作为 AI 代理的项目上下文文档。

  • 基于 agents.md 官方规范生成轻量结构,强调信息层级和可维护性。
  • 安装后按步骤分析项目并生成文档,适合新项目初始化或旧库重构。
  • 可能修改仓库文件,建议提前备份重要配置。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

AGENTS.md Expert

This skill provides the standard specification, templates, and domain knowledge required to create, modify, update, and improve AGENTS.md (or similar) files for a repository. These files act as a "README for AI agents," providing the specific, detailed context agents need to work effectively.

By default, if no specific framework is requested, you should create a highly compatible AGENTS.md file based on the provided template and the official https://agents.md/ specification.

Workflow / Instructions

When asked to create or modify an AGENTS.md file, strictly follow these steps:

  1. Check for Existing Files: List the root project directory to check if an agent guidance file (like AGENTS.md, GEMINI.md, CLAUDE.md, .github/copilot-instructions.md, .cursorrules, etc.) already exists.
  2. Analyze File Structure: Print the tree structure of the repository at an appropriate depth (e.g., using tree -L 2 or equivalent python script/command) to gain a comprehensive understanding of the project's content, tech stack, and module organization. Crucially: Because a git repository is constantly changing, do not analyze the file structure too deeply. Focus on the modular structure.
  3. Scan for Instruction Drift: Analyze existing instruction files for redundant, outdated, or conflicting rules ("mudballs"). Recommend a refactoring step if files are overly cluttered or contradictory.
  4. Formulate a Plan: Based on your findings, formulate a plan to create or update the agent instruction file.

- Single Root File (Default): By default, maintain a single, comprehensive AGENTS.md file in the root directory. Keep the root file minimal (preferably <500 lines) following the Progressive Disclosure principle. - Conditional Progressive Disclosure: If the file exceeds 500 lines or the project is exceptionally complex, split the file (e.g., using nested AGENTS.md or linking to sub-docs like docs/DATABASE.md). - Multi-Framework Support: If the user specifies multiple frameworks (e.g., Copilot, Claude Code, Cursor), implement the Symlink Strategy to use AGENTS.md as the Single Source of Truth (SSOT).

  1. Execution: Create or modify the file based on your plan and the project context.

Content Requirements for AGENTS.md

Ensure the generated AGENTS.md file contains the following key components based on the https://agents.md/ specification:

  • Project Context: A brief summary of the project's purpose and tech stack.
  • Setup & Dev Environment: Explicit commands for installing dependencies and building the project. Keep in mind that agents may or may not have internet access; rely on local context and installed dependencies where possible.
  • Code Style & Conventions: Architectural patterns, stylistic preferences, and specific language settings.
  • Testing Instructions: Commands to run tests, and explicit expectations that tests must pass before completing a task.
  • Language Preference: Unless explicitly overridden by the user, state: "Prioritize using English for code and comments."
  • Git & PR Guidelines: Unless the user specifies otherwise, enforce Conventional Commits (https://www.conventionalcommits.org/en/v1.0.0/) for git commit messages.

Bundled Resources

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

36.77%
按下载量换算24

Claude

27.27%
按下载量换算18

Cursor

17.83%
按下载量换算12

Gemini CLI

8.76%
按下载量换算6

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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