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skill-finder

Helps users discover and install agent skills from the open skills ecosystem (skills.sh). Use when users ask 'how do I do X', 'find a skill for X', 'is there a skill that can...', want to search for tools/templates/workflows, or express interest in extending agent capabilities.

DeepseekModel 官方收录技能 质量 优秀 · 90 v1.0.0

获取

https://deepseekmodel.com/api/download.php?id=dp-archive-archive-seed-skills-skill-finder-skill-md&format=skill
下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name skill-finder description Helps users discover and install agent skills from the open skills ecosystem (skills.sh). Use when users ask 'how do I do X', 'find a skill for X', 'is there a skill that can...', want to search for tools/templates/workflows, or express interest in extending agent capabilities. Skill Finder Discover and install agent skills from the skills.sh open ecosystem into Skill Compose. When to Use This Skill Activate when users: Ask "how do I do X?" where an existing skill might help Request "find a skill for X" or "is there a skill for X?" Ask "can you do X?" for specialized tasks (poster design, data analysis, etc.) Want to search for tools, templates, or workflows Mention needing help with a specific domain that might have a community skill Available Scripts 1. Search Skills — find_skills.py Search the skills.sh ecosystem for skills matching a query. python scripts/find_skills.py <query> [-- limit N] Example: python scripts/find_skills.py "react performance" python scripts/find_skills.py "docker" -- limit 5 Output: JSON array of matching skills with name , source (owner/repo), installs count, and url (skills.sh link). 2. Install Skill — add_skill.py Download a skill from GitHub and register it in Skill Compose. python scripts/add_skill.py <owner/repo@skill-name> Example: python scripts/add_skill.py "vercel-labs/agent-skills@vercel-react-best-practices" What it does: Parses the owner/repo@skill-name identifier Tries multiple GitHub paths to locate the skill ( skills/<name>/ , <name>/ , root) Downloads all skill files (SKILL.md, scripts/, references/, assets/) Saves to the local skills/ directory Registers the skill in Skill Compose via the import-local API The skill is immediately available for use in Agent Presets CRITICAL: Never Combine Questions with Tool Calls When you ask the user a question or present results for them to review, your response MUST end with text only. Do NOT include any tool call (execute_code, bash, etc.) in the same response. The user needs a chance to read and reply. If you combine a question with a tool call, the tool executes immediately without waiting — this breaks the conversation flow. WRONG (never do this): "Should I install X?" + [execute_code: install X] CORRECT (always do this): Turn 1: "Should I install X?" (text only, no tool calls) Turn 2: User says "yes" Turn 3: [execute_code: install X] How to Help Users Find and Install Skills Each step below MUST be a separate conversation turn. Never combine steps. Step 1: Understand the Need Identify what domain and specific task the user needs help with. Step 2: Search Run find_skills.py with relevant keywords. Try multiple queries if the first doesn't yield good results. Even if the user names an exact skill, always search first to find the correct source/owner and verify it exists. Step 3: Present Results and Ask Show the user the found skills with: Skill name Source repository Install count (popularity indicator) skills.sh link for more details Ask which skill(s) they want to install. End your response here — no tool calls. Step 4: Confirm When the user picks a skill, repeat back what you will install and ask for confirmation. This must be a text-only response with no tool calls. Wait for the user to reply. Step 5: Install Only after the user confirms in a separate message , run add_skill.py . Report the result. Common Skill Categories Category Example Queries Web Development react, nextjs, vue, css, tailwind, html Testing testing, jest, playwright, cypress DevOps docker, kubernetes, ci-cd, terraform Documentation docs, readme, markdown, api-docs Code Quality lint, refactor, code-review, typescript Design ui, design, figma, accessibility Data & ML pandas, data-analysis, machine-learning Productivity git, automation, workflow Tips for Effective Searches Use specific domain keywords: "react performance" instead of just "fast" Try alternative terms if first search yields few results: "testing" → "jest" → "playwright" Popular skill sources include: vercel-labs/agent-skills , google-labs-code/stitch-skills Check install counts — higher counts generally indicate more mature skills When No Skills Are Found Acknowledge that no matching skill exists yet Offer to help the user directly with their task Suggest the user could create a custom skill for their use case using skill-creator
Agent 识别该技能的关键词,点击任意一个即可复制。

该技能未提供触发词。

下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
source来源标识
source_url来源链接(本页地址)
exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

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