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skyll

Search and retrieve agent skills at runtime. This skill should be used when the agent needs to find specialized capabilities, workflows, or domain knowledge to accomplish a task. Skyll aggregates skills from skills.sh and returns full SKILL.md content ready for context injection.

DeepseekModel 官方收录技能 质量 优秀 · 78 v1.0.0

获取

https://deepseekmodel.com/api/download.php?id=assafelovic-skyll-agents-skills-skyll-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 skyll description Search and retrieve agent skills at runtime. This skill should be used when the agent needs to find specialized capabilities, workflows, or domain knowledge to accomplish a task. Skyll aggregates skills from skills.sh and returns full SKILL.md content ready for context injection. license Apache-2.0 Skyll - Agent Skill Discovery Skyll enables agents to dynamically discover and retrieve skills at runtime. Instead of having all skills pre-loaded, agents can search for relevant skills on-demand and inject them into context. When to Use This Skill Use Skyll when: The current task requires specialized knowledge or workflows not in context Looking for best practices for a specific framework, library, or domain Needing procedural knowledge for complex multi-step tasks Wanting to enhance capabilities with community-contributed skills Quick Usage Option 1: Python Client (Recommended) from skyll import Skyll async with Skyll() as client: # Search for relevant skills skills = await client.search( "react performance optimization" , limit= 3 ) for skill in skills: print ( f"Skill: {skill.title} " ) print ( f"Score: {skill.relevance_score} " ) print (skill.content) # Full SKILL.md content Option 2: REST API Search for skills: curl "https://api.skyll.app/search?q=react+performance&limit=3" Get a specific skill: curl "https://api.skyll.app/skills/anthropics/skills/skill-creator" Response Format The API returns ranked skills with relevance scores (0-100): { "query" : "react performance" , "count" : 3 , "skills" : [ { "id" : "react-best-practices" , "title" : "React Best Practices" , "description" : "Performance optimization for React and Next.js" , "source" : "vercel-labs/agent-skills" , "relevance_score" : 85.5 , "install_count" : 82800 , "content" : "# React Best Practices\n\n## Performance\n..." } ] } Key Fields Field Description id Skill identifier title Human-readable title description What the skill does source GitHub repository (owner/repo) relevance_score 0-100 match score install_count Popularity from skills.sh content Full SKILL.md markdown content references Additional reference files (if requested) Search Parameters Parameter Default Description q / query required Search query limit 10 Max results (1-50) include_content true Fetch full SKILL.md content include_references false Include reference files Example Workflow When an agent needs to build a React Native app but lacks mobile expertise: Search for relevant skills: skills = await client.search( "react native best practices" , limit= 2 ) Inject top skill into context: context = skills[ 0 ].content # Full SKILL.md content Use the skill's knowledge to complete the task API Endpoints Endpoint Description GET /search?q={query} Search skills POST /search Search with JSON body GET /skills/{source}/{skill_id} Get specific skill GET /health Health check GET /docs Interactive API documentation Installation For Python agents: pip install skyll For other languages, use the REST API directly at https://api.skyll.app . Links API: https://api.skyll.app Docs: https://api.skyll.app/docs Demo: https://skyll.app GitHub: https://github.com/assafelovic/skyll
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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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