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Found 104 Skills
Generate ideas in one shot using creative sampling
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
Guide for quality focused software architecture. This skill should be used when users want to write code, design architecture, analyze code, in any case that relates to software development.
Evaluate and improve Claude Code commands, skills, and agents. Use when testing prompt effectiveness, validating context engineering choices, or measuring improvement quality.
Auto-selects best Kaizen method (Gemba Walk, Value Stream, or Muda) for target
Comprehensive pull request review using specialized agents
Create pull requests using GitHub CLI with proper templates and formatting
Merge changes from worktrees into current branch with selective file checkout, cherry-picking, interactive patch selection, or manual merge
Implement a task with automated LLM-as-Judge verification for critical steps
Reflect on previus response and output, based on Self-refinement framework for iterative improvement with complexity triage and verification
Guides implementation of agent memory systems, compares production frameworks (Mem0, Zep/Graphiti, Letta, LangMem), and designs persistence architectures for cross-session knowledge retention. Use when the user asks to "implement agent memory", "persist state across sessions", "build knowledge graph for agents", "track entities over time", "add long-term memory", "choose a memory framework", or mentions temporal knowledge graphs, vector stores, entity memory, or memory benchmarks (LoCoMo, LongMemEval).
Create well-formatted commits with conventional commit messages and emoji