Skill Radar — AI skill for Claude Code
Daily GitHub radar for AI agent skills, MCP servers, prompts, and agent-native developer tools.
How to install Skill Radar
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open soarsky1991/skill-radar and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Skill Radar does
Daily GitHub radar for AI agent skills, MCP servers, prompts, and agent-native developer tools.
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README
Agent Skill Radar
[](https://github.com/soarsky1991/skill-radar/actions/workflows/daily-radar.yml) [](LICENSE) [](https://github.com/soarsky1991/skill-radar/stargazers)
简体中文
**面向 AI agent skills、MCP servers、prompts 和 agent-native developer tools 的每日 GitHub 雷达。**
大多数开发者不缺另一个 awesome list,真正缺的是一套可重复的方法:发现需求正在哪里形成,判断什么值得做,并在开新仓库之前先发布证据。
Agent Skill Radar 把公开 GitHub 信号变成每日 build brief。中文用户是这个项目优先服务的人群:开发者、技术创作者、AI 工具训练营、独立开发者和小团队,都可以用它做选题、选型、内容和产品化验证。
它怎么工作
| 步骤 | 做什么 | 输出 |
|---|---|---|
| 扫描 | 搜索 agent skills、MCP servers、prompts、context tools、agent-native CLIs。 | 原始仓库和 issue 数据 |
| 评分 | 按热度、活跃度、issue 需求、扩展性、创作者适配度、新颖度和饱和度排序。 | 机会分数和阶段 |
| 简报 | 把高分仓库转成可执行的 companion-tool 角度。 | 带 issue 证据的 build brief |
| 发布 | 每天提交一份 Markdown 报告。 | GitHub、博客、图文和短视频都能引用的报告 |
| 构建 | 用重复出现的强信号决定下一个小工具。 | 更少随机开坑 |
最新雷达
当前公开报告:[reports/latest.md](reports/latest.md)
首批信号示例:
| 排名 | 机会 | 构建角度 |
|---|---|---|
| 1 | addyosmani/agent-skills |
跨 agent 的 skill index、installer 或 quality benchmark |
| 2 | getsentry/XcodeBuildMCP |
MCP registry、security checker、config generator 或 compatibility layer |
| 3 | HKUDS/CLI-Anything |
带 JSON 输出和确定性工作流的 agent-native CLI wrapper |
适合谁
- 想围绕 Codex、Claude Code、Copilot、Cursor、Gemini CLI 或 MCP 做工具的开发者。
- 想先看证据再决定开源项目方向的独立开发者。
- 想把 GitHub 研究变成公众号、小红书、视频、社群选题的技术创作者。
- 想筛选 MCP/Agent 工具、做内部培训或产品化验证的小团队。
快速开始
git clone https://github.com/soarsky1991/skill-radar.git
cd skill-radar
python3 -m venv .venv
source .venv/bin/activate
python -m pip install -e .
agent-skill-radar run --limit-per-query 8 --issue-limit 4
提高 GitHub API 限额:
export GITHUB_TOKEN=
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