MCP Server Builder
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
最好的找Skill的方式,能够基于你的任务,去寻找最匹配的高质量Skill。以下三种情况下都应使用本技能:① 用户主动要找 Skill,或者需要借助他人经验时——当用户说"找个 xxx 技能""股票分析别人怎么做的""找一找有没有现成的技能"等表达寻找意图时;② Agent 自主判断需要外部 Skill…
$ npx skills add wheelry/deep-skill-finder --skill deep-skill-finder -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install wheelry/deep-skill-finder deep-skill-finder --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
Claude Code skills documentation · loads skills from .claude/skills/
Install the "deep-skill-finder" agent skill from https://github.com/wheelry/deep-skill-finder/tree/main into .claude/skills/deep-skill-finder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-skill-finder", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add wheelry/deep-skill-finder --skill deep-skill-finder -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install wheelry/deep-skill-finder deep-skill-finder --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "deep-skill-finder" agent skill from https://github.com/wheelry/deep-skill-finder/tree/main into .agents/skills/deep-skill-finder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-skill-finder", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add wheelry/deep-skill-finder --skill deep-skill-finder -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install wheelry/deep-skill-finder deep-skill-finder --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "deep-skill-finder" agent skill from https://github.com/wheelry/deep-skill-finder/tree/main into .cursor/skills/deep-skill-finder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-skill-finder", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add wheelry/deep-skill-finder --skill deep-skill-finder -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install wheelry/deep-skill-finder deep-skill-finder --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "deep-skill-finder" agent skill from https://github.com/wheelry/deep-skill-finder/tree/main into .gemini/skills/deep-skill-finder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-skill-finder", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install wheelry/deep-skill-finder deep-skill-finderInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add wheelry/deep-skill-finder --skill deep-skill-finder -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "deep-skill-finder" agent skill from https://github.com/wheelry/deep-skill-finder/tree/main into .github/skills/deep-skill-finder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-skill-finder", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add wheelry/deep-skill-finder --skill deep-skill-finder -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install wheelry/deep-skill-finder deep-skill-finder --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "deep-skill-finder" agent skill from https://github.com/wheelry/deep-skill-finder/tree/main into .opencode/skills/deep-skill-finder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-skill-finder", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
deep-skill-finder最好的找Skill的方式,能够基于你的任务,去寻找最匹配的高质量Skill。以下三种情况下都应使用本技能:① 用户主动要找 Skill,或者需要借助他人经验时——当用户说"找个 xxx 技能""股票分析别人怎么做的""找一找有没有现成的技能"等表达寻找意图时;② Agent 自主判断需要外部 Skill…
Deep Skill Finder is an agent skill from wheelry/deep-skill-finder. 最好的找Skill的方式,能够基于你的任务,去寻找最匹配的高质量Skill。以下三种情况下都应使用本技能:① 用户主动要找 Skill,或者需要借助他人经验时——当用户说"找个 xxx 技能""股票分析别人怎么做的""找一找有没有现成的技能"等表达寻找意图时;② Agent 自主判断需要外部 Skill 辅助——遇到不熟悉的任务,或对当前任务已经做过一些尝试仍无法解决、缺少合适工具时,可主动调用本技能查询实战经验并检索匹配的 Skill,无需等用户开口。;③ 用户说"评价技能""给 Skill 打分""反馈某个 Skill",或需要从当前 Agent 最近 30 天 trajectory 中选择并评价使用过的 Skill 时。评价支持已知 trajectory Provider,也支持当前 Agent 自定位和动态理解未知格式。
Its SKILL.md is about 2.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 30 other files, including scripts, reference files and assets (for example `README.md` and `README.zh.md`).
It works with Python. The repository describes itself as: Deep Skill Finder – Real Tests Real Reviews find skills that Real Work.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 227d4d1. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 1 file in scripts/, which the agent can run.
Shell commands in SKILL.md call:
curlFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
deepskill.marketapi.github.comAlso links to:
wenjuan.meituan.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Deep Skill Finder loads about 2.9k tokens when it runs, and up to ~6.5k if it reads all its reference files. Until then it costs about 97 tokens; SKILL.md has 607 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
Without a licence we can't republish the file, so here is its outline and opening line. It has 607 words (~2,915 tokens).
SKILL.md and 27 other files (scripts, references, assets) in the repository root of wheelry/deep-skill-finder.
Open the folder on GitHubat commit 227d4d1
Deep Skill Finder next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Deep Skill Finder this skillwheelry/deep-skill-finder | 169 | — | ~2.9k | Automated safety check: Pass | None | |
| MCP Server Builderanthropics/skills | 180k | 63 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| PDF Processinganthropics/skills | 180k | 48 repos | ~2k | Automated safety check: Pass | Proprietary | |
| NotebookLM Research AssistantPleasePrompto/notebooklm-skill | 7.8k | 14 repos | ~2.4k | Automated safety check: Notes | MIT | |
| Manim Video Productionbrowser-use/video-use | 28k | 6 repos | ~3k | Automated safety check: Pass | MIT | |
| Code Review ChecklistshareAI-lab/learn-claude-code | 78k | 5 repos | ~1.1k | Automated safety check: Pass | MIT |
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
anthropics/skills
Handles everyday PDF jobs in Python and on the command line: extract text and tables, merge, split, rotate, watermark, fill forms, encrypt and OCR.
PleasePrompto/notebooklm-skill
Lets Claude Code ask questions of your Google NotebookLM notebooks through browser automation and return answers grounded in your uploaded sources.
browser-use/video-use
Produces math and technical explainer videos with Manim Community Edition: concept animations, equation derivations, algorithm walkthroughs and data stories.
shareAI-lab/learn-claude-code
Reviews code against a five-part checklist covering security, correctness, performance, maintainability and testing, and reports findings in a fixed format.
hugohe3/ppt-master
Generates editable PowerPoint decks, rebuilds slides from images, fills .pptx templates and polishes existing presentations through routed workflows.
Works with
最好的找Skill的方式,能够基于你的任务,去寻找最匹配的高质量Skill。以下三种情况下都应使用本技能:① 用户主动要找 Skill,或者需要借助他人经验时——当用户说"找个 xxx 技能""股票分析别人怎么做的""找一找有没有现成的技能"等表达寻找意图时;② Agent 自主判断需要外部 Skill…. Deep Skill Finder is an agent skill from wheelry/deep-skill-finder.
Run `npx skills add wheelry/deep-skill-finder --skill deep-skill-finder -a claude-code`. Or copy the skill folder (the wheelry/deep-skill-finder repository) into .claude/skills/deep-skill-finder in your project. Claude Code loads it when a task matches its description.
Run `npx skills add wheelry/deep-skill-finder --skill deep-skill-finder -a codex`. Or copy the skill folder (the wheelry/deep-skill-finder repository) into .agents/skills/deep-skill-finder in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add wheelry/deep-skill-finder --skill deep-skill-finder -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/deep-skill-finder, .gemini/skills/deep-skill-finder, .github/skills/deep-skill-finder and .opencode/skills/deep-skill-finder in your project.
Going by SKILL.md and its folder, Deep Skill Finder needs the command-line tools its instructions call (curl).
SKILL.md names 3 domains. In commands or code: deepskill.market and api.github.com; the agent is likely to contact these when it follows the instructions. As links in the text: wenjuan.meituan.com. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
No licence was found for Deep Skill Finder or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 2.9k tokens (SKILL.md is roughly 12k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.6k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Deep Skill Finder: MCP Server Builder (anthropics/skills, 180k stars), PDF Processing (anthropics/skills, 180k stars), NotebookLM Research Assistant (PleasePrompto/notebooklm-skill, 7.8k stars) and Manim Video Production (browser-use/video-use, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
wheelry (a GitHub user) maintains it in wheelry/deep-skill-finder, which has 169 GitHub stars. The repository was last updated on September 23, 2026.
Source: wheelry/deep-skill-finder on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.