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17 habilidades do Claude Code para contexto de IA, testes e desenvolvimento de MCP. Utiliza um formato registrado pela IANA (application/vnd.faf+yaml) para criar o DNA do projeto, pontuar a prontidão da IA, sincronizar com CLAUDE.md, construir servidores MCP e gerar suítes de teste, com mais de 36.000 downloads em npm, PyPI e crates.io.

Automate Hunter.io email intelligence -- search domains for email addresses, find specific contacts, verify email deliverability, manage leads, and monitor account usage -- using natural language through the Composio MCP integration.

Automate Sympla tasks via Rube MCP (Composio). Always search tools first for current schemas.

Workflow for drafting, rewriting, splitting, and auditing story-level requirements, user stories, feature definitions, definitions of done, and acceptance criteria into unambiguous story cards for humans and coding agents. Use for rough tickets, broad epics, or unclear product behavior; avoid for full PRDs, glossary definitions, and code implementation.

Automate Ninox tasks via Rube MCP (Composio). Always search tools first for current schemas.

Automate Smtp2go tasks via Rube MCP (Composio). Always search tools first for current schemas.

Automate Twocaptcha tasks via Rube MCP (Composio). Always search tools first for current schemas.

Use when writing libGDX Java/Kotlin code involving FrameBuffer (FBO), render-to-texture, post-processing, FloatFrameBuffer, GLFrameBuffer, Pixmap, runtime texture generation, screen capture, pixel manipulation, or PixmapIO. Use when debugging upside-down FBO rendering, FBO nesting issues, native memory leaks from Pixmap, or blend state corruption from post-processing.

Automate Waboxapp tasks via Rube MCP (Composio). Always search tools first for current schemas.

Keyword research and strategy for iOS and Android apps. Analyzes keyword difficulty, search volume, relevance, and optimal placement across metadata fields. Platform-aware indexing rules. Triggers on: "keywords", "keyword research", "keyword strategy", "search terms".

Dispatches one subagent per independent domain to parallelize investigation/fixes. Use when you have 2+ unrelated failures (e.g., separate failing test files, subsystems, bugs) with no shared state or ordering dependencies.

Five-layer memory architecture: where each fact lives, how layers interact, when to promote learnings