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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 Curated skill Quality Excellent · 78 v1.0.0

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https://deepseekmodel.com/api/download.php?id=assafelovic-skyll-agents-skills-skyll-skill-md&format=skill
Download .skill Standard format with system_prompt and model_config, ready for any agent framework
The actual content of the system_prompt field in the .skill file.
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
Keywords that activate this skill. Click one to copy it.

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The downloaded .skill package contains the following fields.
Field Description
formatFormat tag (skill/v1)
skill_idUnique skill ID
nameSkill name
versionVersion
descriptionDescription
categoryCategories (array)
trigger_wordsTrigger words
tagsTags
sourceSource
source_urlSource URL (this page)
exported_atExported at (set per download)
system_promptSystem prompt body
model_configModel config: provider / model / temperature / max_tokens / top_p
examplesExamples
install_guideImport guide for Coze / Dify / Claude / custom frameworks
The same skill can be exported in different platform formats.
.skill Standard format with system_prompt and model_config, ready for any agent framework Download
.skillpro Enhanced format with scripts, tools, dependencies and hooks Download
.json Plain JSON export with system_prompt and model parameters only Download
Coze Markdown with frontmatter, for Coze platform import Download
Dify Dify DSL, import directly after creating an app Download

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