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Settings → Capabilities → SkillsSkills for Claude Desktop
Free agent skills compatible with Claude Desktop by Anthropic. Search within them or filter by category, level and popularity.
158 skills
Build MCP Server
anthropics
Streamline your MCP server development with guided discovery.
Doublecheck
github
A verification pipeline for AI-generated claims.
Troubleshoot
microsoft
Analyze logs to understand chat agent behavior.
AI Team Orchestration
github
Streamline multi-agent development workflows.
Behavioral Evaluations
google-gemini
Validate agent decision-making with structured tests.
Prompt Optimizer
github
Transform vague ideas into precise LLM prompts.
Pinecone RAG
github
Build RAG pipelines with Pinecone as your vector database.
Agent User Creation
github
Enable AI agents as digital workers in Microsoft Entra ID.
Agentic Evaluation
github
Enhance AI outputs through iterative evaluation and refinement.
Agent Governance
github
Implement safety and trust controls for AI agents.
Memory Triage
mem0ai
Enhance agent memory with actionable insights.
Bootstrap Soul
bytedance
Personalize your AI partner through guided conversation.
Skill Installer
anthropics
Safely install community skills from a registry.
Agent Introspection Debugging
affaan-m
Systematic self-debugging for AI agent failures.
Skill Orchestrator
sickn33
Intelligently coordinates skills for complex tasks.
Long Horizon Prompting
muratcankoylan
Craft precise prompts for autonomous agents.
BDI Mental State Modeling
muratcankoylan
Transform RDF context into agent mental states.
Memory & State Management
google-gemini
Enhance bot memory and session synchronization.
Trace To Training Data
wshobson
Transform evaluation traces into training data efficiently.
Preference Optimization
wshobson
Align models with user preferences efficiently.
Fine-Tuning Method Selection
wshobson
Streamline your fine-tuning decisions effectively.
Eval Harness First
wshobson
Essential setup for fine-tuning AI models.
Checkpoint Promotion
wshobson
Ensure your AI model meets quality standards before deployment.
RAG Implementation
wshobson
Build knowledge-grounded AI systems with RAG.
