Boost efficiency with task automation and organizers.
Multi-agent coordination CLI for codebases. Use when orchestrating parallel agents, claiming tasks, detecting symbol conflicts, or notifying stakeholders of breaking changes. Invoke when user mentions coordination, parallel agents, multiple agents, task claiming, or conflict detection.
Interactive MVP building adventure with a companion character. Guides non-technical founders through building their app via conversational choices. Feels like Lifeline - a character helps you solve problems together. Phases: (1) Refine the idea, (2) Set up codebase, (3) Build the app, (4) Style it, (5) Deploy. Use when: User wants to build an app, says "/start", asks "help me build", wants guidance building something, or mentions "vibe coding". Triggers: /start, /status, /next, /level, /save, /help, "help me build", "what should I build", "I want to create"
Invoke OpenAI Codex CLI with the correct configuration for autonomous code generation. Use when you need Codex to generate or regenerate code files, implement features, or execute multi-step coding tasks.
Azure OpenAI expert for deployments, authentication, and best practices. Use when asked about Azure OpenAI configuration or troubleshooting.
Use this skill to query your Google NotebookLM notebooks directly from Claude Code for source-grounded, citation-backed answers from Gemini. Browser automation, library management, persistent auth. Drastically reduced hallucinations through document-only responses. This is a test.
Helps extract and structure knowledge from Subject Matter Expert interviews. Use when preparing SME interviews, documenting expert knowledge, structuring content from experts, or when user mentions "SME interview," "expert knowledge," "content extraction," "subject matter expert," or "knowledge capture."
Expert guide for managing Claude Code global skills and commands. Use when creating new skills, symlinking to projects, updating existing skills, or organizing the centralized skill repository.
Use when delegating coding tasks to Gemini CLI agent, when you need parallel AI execution, or when tasks benefit from Gemini's 1M+ context window.
CLI tool for capturing agent trajectories. Execute prompts against ACP-compatible agents, capture full trajectories (tools, thoughts, plans), and output structured JSONL for downstream scoring.
Integrate OpenAI Agent SDK with Google Gemini backend into FastAPI service using the official Google Gemini API via OpenAI compatibility layer.
Manages Gemini CLI for large codebase analysis and pattern detection. Use proactively when Claude needs to analyze extensive code patterns, architectural overviews, or search through large codebases efficiently.
FastAPI + Python backend development specialist. Use when building APIs, endpoints, database integration, authentication, background tasks, or debugging Python backends. Includes Supabase server-side patterns, Pydantic validation, async operations, and Railway/Vercel deployment.
This skill should be used for all external AI collaboration - consulting, implementing, or reviewing with codex/cursor-agent. Triggers include "pair with codex", "get a second opinion", "delegate this", "consult on", "review this work". Uses output contracts to return lean, structured responses that don't pollute the orchestrating agent's context.
Amazon Bedrock Knowledge Bases for RAG (Retrieval-Augmented Generation). Create knowledge bases with vector stores, ingest data from S3/web/Confluence/SharePoint, configure chunking strategies, query with retrieve and generate APIs, manage sessions. Use when building RAG applications, implementing semantic search, creating document Q&A systems, integrating knowledge bases with agents, optimizing chunking for accuracy, or querying enterprise knowledge.
ai-tools同期 - リポジトリと~/.claude/間の設定ファイル同期。to-local/from-local/diffモード。
Execute and manage Gemini CLI built-in tools including file operations, web search, shell commands, and memory. Use for automated workflows, tool orchestration, and safe execution patterns.
Guide for creating reliable AI workflows and SOPs. Use when: (1) User wants to create a structured workflow for AI tasks, (2) User needs to build an SOP for complex processes, (3) User wants to ensure their workflow follows best practices for managing LLM uncertainty, (4) User mentions creating workflows for domains like code review, response analysis, documentation, or any structured process
Spawn subagents to offload context-heavy work. Use for: deep research (3+ searches), codebase exploration (8+ files), multi-step workflows, exploratory tasks, long-running operations, documentation generation, or any other task where the intermediate steps will use large numbers of tokens.
Enterprise Convex Real-Time Backend with AI-powered reactive database architecture, Context7 integration, and intelligent synchronization orchestration for collaborative applications
Agent OS skill: planejador-produto
