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Found 1,273 Skills
Build production-ready Tavily integrations with best practices baked in. Reference documentation for developers using coding assistants (Claude Code, Cursor, etc.) to implement web search, content extraction, crawling, and research in agentic workflows, RAG systems, or autonomous agents.
Merges valuable content into permanent documentation, then deletes source files. Use when you have untracked *_REPORT.md or *_ANALYSIS.md files, git status shows markdown artifacts that shouldn't be committed, preparing PR and need to clean up working artifacts, preserving insights from code reviews. Do not use when files are already in docs/ or skills/ locations. DO NOT use when: files are intentionally temporary scratch notes. DO NOT use when: source files have no extractable value.
DSPy declarative framework for automatic prompt optimization treating prompts as code with systematic evaluation and compilers
Room-based exploration with narrative evidence collection
Comprehensive skill for building, deploying, and managing multi-agent AI systems with Agno framework
Help users define AI product strategy. Use when someone is building an AI product, deciding where to apply AI in their product, planning an AI roadmap, evaluating build vs buy for AI capabilities, or figuring out how to integrate AI into existing products.
Answers AI agent evaluation methodology questions with practical, opinionated guidance grounded primarily in Microsoft's agent evaluation ecosystem (MS Learn, Eval Scenario Library, Triage & Improvement Playbook, Eval Guidance Kit) supplemented by select industry sources.
Launch a meta-judge then a judge sub-agent to evaluate results produced in the current conversation
Build new agent skills. Use when creating diagnostic frameworks, CLI tools, or data-driven generators that follow the established skill patterns.
Build AI agents with structured access to Sanity content via Context MCP. Covers Studio setup, agent implementation, and advanced patterns like client-side tools and custom rendering.
Guide for designing effective MCP servers with agent-friendly tools. Use when creating a new MCP server, designing MCP tools, or improving existing MCP server architecture.
Visualize whether skills, rules, and agent definitions are actually followed — auto-generates scenarios at 3 prompt strictness levels, runs agents, classifies behavioral sequences, and reports compliance rates with full tool call timelines