Orchestrate comprehensive planning phase from ideation to development-ready specifications using 4 specialized agents
21 production-ready scripts for iOS app testing, building, and automation. Provides semantic UI navigation, build automation, accessibility testing, and simulator lifecycle management. Optimized...
Orchestrate comprehensive planning phase from ideation to development-ready specifications using 3 specialized agents (Full workflow documentation at docs/workflows/planning-workflow.md)
Expert in Langfuse - the open-source LLM observability platform. Covers tracing, prompt management, evaluation, datasets, and integration with LangChain, LlamaIndex, and OpenAI. Essential for...
Skill for building LLM evaluation.
Parallel Agent Type Contracts
Expert in LangGraph - the production-grade framework for building stateful, multi-actor AI applications. Covers graph construction, state management, cycles and branches, persistence with...
Build production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, agent orchestration, and enterprise AI integrations. Use PROACTIVELY...
Semantic search for finding code by meaning using natural language queries. Orchestrates semantic-search-reader (search/find-similar/list-projects) and semantic-search-indexer...
Send messages to other Claude Code or Codex sessions via tmux. Hand off complex debugging context, get second opinions, share detailed technical findings across sessions.
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Performs comprehensive, multi-layered research on any topic with structured analysis and synthesis of information from multiple sources. Use when the user needs thorough investigation, market...
Brief description of what this skill does and when to use it.
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Use this skill when the user asks to save, remember, recall, or organize memories. Triggers on phrases like 'remember this', 'save this', 'note this', 'what did we discuss about...', 'check your...
Build AI agents with Google ADK Python (Agent Development Kit). Use for multi-agent systems, workflow agents (sequential/parallel/loop), Vertex AI deployment, tool integration, human-in-the-loop.
MANDATORY for code review - must use Codex CLI for all code reviews, then apply fixes based on Codex feedback. Also use for cross-verification, debugging, and getting alternative implementations.
Implements agents using Deep Agents. Use when building agents with create_deep_agent, configuring backends, defining subagents, adding middleware, or setting up human-in-the-loop workflows.
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Build type-safe LLM applications with DSPy.rb - Ruby's programmatic prompt framework with signatures, modules, agents, and optimization