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Patterns for using TaskCreate, TaskUpdate, TaskList, and TaskGet to coordinate multi-step work. Use when the user has a complex project with multiple steps, needs progress tracking, dependency management, or multi-agent task assignment.

Read-only drift detector. Diffs SPEC.md vs current code ∧ reports violations grouped by severity. ⊥ writes — suggests remedies via spec ∨ build skills, ⊥ invokes them. Triggers when user asks to check drift, audit spec, verify invariants, ∨ ask if code still matches spec. Phrasings: "check drift", "audit the spec", "does the code still match §V", "check invariants", "spec vs code", "is the spec st

Um motor universal de execução de tarefas de IA que analisa a intenção do usuário, gera planos de execução e resolve automaticamente problemas de ambiente para executar tarefas com interação mínima.

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

Use ao iniciar um novo repositório de projeto, quando /update-docs relata tracker_missing, ou na primeira execução do coordinator-plugin.

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

Red-green-refactor TDD cycle, test-first methodology, coverage targets (80%+), and test pyramid. Use when the user is implementing a new feature, fixing a bug, asks about TDD, or mentions writing tests before code. Always push for test-first.

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

Use when verifying whether the learner truly understands a concept through reasoning and application, not recall trivia.

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

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

API security review against OWASP API Top 10 2023. Covers auth (OAuth2/JWT/API-keys), object-level authorization (BOLA/IDOR), schema validation, rate-limiting, CORS, SSRF, and GraphQL-specific concerns (introspection, query depth, batching).