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Found 540 Skills
Systematic debugging that identifies root causes rather than treating symptoms. Uses sequential thinking for complex analysis, web search for research, and structured investigation to avoid circular reasoning and whack-a-mole fixes.
Implement GraphRAG patterns combining knowledge graphs with retrieval for complex reasoning. Use this skill when building RAG over interconnected data or needing relationship-aware retrieval. Activate when: GraphRAG, knowledge graph, graph retrieval, entity relationships, Neo4j RAG, graph database, connected data.
Write C++ code following Sean Parent's "No Raw Loops" philosophy. Emphasizes algorithm-based thinking, composition over iteration, and treating code as mathematical reasoning. Use when refactoring or writing new C++ to maximize clarity and correctness.
Patterns and architectures for building AI agents and workflows with LLMs. Use when designing systems that involve tool use, multi-step reasoning, autonomous decision-making, or orchestration of LLM-driven tasks.
This skill should be used when the user asks to "create a ReAct agent", "build an agent with tools", "implement tool-calling agent", "use dspy.ReAct", mentions "agent with tools", "reasoning and acting", "multi-step agent", "agent optimization with GEPA", or needs to build production agents that use tools to solve complex tasks.
Use this skill whenever the agent has access to Linkup web search or fetch tools. Teaches the agent how to reason about query construction, choose search depth, write effective queries, select the right output type, use the fetch endpoint, and apply advanced techniques like sequential search and multi-query coverage. Applicable to any task involving web search, content extraction, company research, news retrieval, data enrichment, or real-time information gathering via Linkup.
Analyze arguments, detect biases, evaluate claims, and improve reasoning. Use when asked to fact-check, identify logical fallacies, evaluate arguments, analyze predictions, find root causes, or think adversarially about plans. Triggers include "evaluate this argument", "logical fallacies", "fact check", "analyze the claims", "identify biases", "devil's advocate", "red team this", "root cause".
Use this agent for audits, debugging nasty bugs, deep research, getting second opinions on approaches, reviewing commits for correctness, or analyzing complex problems. Invoke when you need advanced reasoning about difficult issues. Use PROACTIVELY when encountering complex bugs, architectural decisions, or when a thorough review would prevent future issues.
Convert ambiguous user requests into structured USDM requirements documents. Decomposes requirements into Requirement → Reason → Description → Specification hierarchy. Integrates with GitHub Issues, Asana, and Jira tickets as input sources. Use when: "create requirements", "write requirements document", "USDM", "decompose requirements", "requirements definition", "要件定義", "要件を整理", "要件分解".
Optimize Claude Code prompts for Opus 4.6, Sonnet 4.5, and Haiku 4.5 with model-aware reasoning settings, context control, safe tool use, and concise output shaping.
You must use this when seeking cross-domain analogies, applying first-principles reasoning, or overcoming creative bottlenecks.
Serves as a reviewer of the codebase with instructions on looking for Apple App Store optimizations or rejection reasons.