wheelry/deep-skill-finder

真实测试，真实回顾，发现真正有效的技能

一个智能技能发现引擎。你的Claude代码/Codex/OpenClaw/光标自动从20万个生态系统中发现正确的技能——适用于每一项任务。

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🚀 安装你的代理（30秒）

复制此提示，发送给你的代理（Claude代码/Codex/OpenClaw/光标/40+支持）：

就这样——安装通常15-30秒完成。不喜欢吗？随时用一个命令卸载。下次你的代理需要技能时，DSF会帮你找候选技能，然后先问你。

用途

自然地与你的代理对话。当任务需要外部技能时，DSF会自动触发：

DSF会给出排名前五的列表并说明原因。确认安装→自动完成的数字。

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为什么是深度技能查找器

Skill生态系统正在快速发展。问题不再是缺乏工具——越来越难以判断：哪种Skill真正适合我的具体任务？

传统的技能目录会显示姓名、创作者描述、下载和星星。这些内容告诉你技能是否可被发现或受欢迎，但无法回答：

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🚀 Install in your Agent (30 seconds)

Copy this prompt, send it to your Agent (Claude Code / Codex / OpenClaw / Cursor / 40+ supported):

Please install the deep-skill-finder skill: download from
https://www.deepskill.market/api/v1/skill-finder, extract to local skills
directory, and enable it.

That’s it — install typically completes in 15-30 seconds. Don’t like it? Uninstall anytime with one command. Next time your Agent needs a skill, DSF will find candidates and ask you before installing.

Use

Talk to your Agent naturally. When a task needs an external Skill, DSF triggers automatically:

"Find me a skill that builds interactive dashboards from a CSV"
"Is there a skill for pulling stock market data?"
"Recommend a skill for translating technical docs into plain English"
"Set up a CI/CD pipeline that runs on every PR"

DSF returns a ranked TOP-5 with reasons. Confirm a number → installation completes automatically.

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Why deep-skill-finder

The Skill ecosystem is growing fast. The problem is no longer a lack of tools — it’s increasingly hard to tell: which Skill truly fits my specific task?

Traditional Skill directories show names, creator descriptions, downloads, and stars. These tell you whether a Skill is discoverable or popular, but they can’t answer:

• Has it actually run on tasks like yours? How were the results, latency, and token cost?
• Which Agents, environments, and workflows does it fit? Does it need extra credentials or complex setup?
• Where does it fail?

Every Skill describes what it claims to do; few tell you how it actually behaves. The real problem isn’t just “can I find it” — after finding candidates, you still lack grounds to choose:

• Relevant is not the same as suitable. A Skill’s name and description suggest what it might do, not whether it actually works well in your specific Agent, task, and environment.
• Real performance depends on the scenario. The same Skill can produce completely different results across tasks, Agents, and environments. Context-free generic ratings rarely help you judge fit.