Search Tool Hierarchy
AI-powered web search, research, and reasoning via Perplexity
Implement technical plans from thoughts/shared/plans with verification
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Review code for quality, maintainability, and correctness. Use when reviewing pull requests, evaluating code changes, or providing feedback on implementations. Focuses on API design, patterns, and...
Fast codebase search via WarpGrep (20x faster than grep)
Use RepoPrompt CLI for token-efficient codebase exploration
Deep interview process to transform vague ideas into detailed specs. Works for technical and non-technical users.
This skill should be used when creating a Claude Code slash command. Use when users ask to "create a command", "make a slash command", "add a command", or want to document a workflow as a reusable...
Compile an agent-optimized changelog by cross-referencing git history with plans and documentation. Use when asked to "update changelog", "compile history", "document project evolution", or...
Expert in designing and building autonomous AI agents. Masters tool use, memory systems, planning strategies, and multi-agent orchestration. Use when "build agent, AI agent, autonomous agent, tool...
Patterns for coordinating multiple LLM agents including sequential, parallel, router, and hierarchical architectures—the AI equivalent of microservicesUse when "multi-agent, agent orchestration,...
Search Tool Hierarchy
Manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
Comprehensive checklist for conducting thorough code reviews covering functionality, security, performance, and maintainability
AI agents as force multipliers for quality work. Core skill for all 19 QE agents using PACT principles.
Code review specialist for quality standards, design patterns, security review, and constructive feedbackUse when "code review, pull request, PR review, code quality, refactor, technical debt,...
Enforces disciplined task tracking across context boundaries. Use when starting any coding task, receiving a new user request mid-work, planning multi-step work, discovering sub-tasks or issues,...
Guide for building AI agents in Go using adk-go framework. Use when creating agents with Gemini or OpenAI models, implementing tools, running agents with streaming, or managing conversation sessions.
A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).