Handle iii engine and SDK errors across Node, Python, Rust, and browser workers. Use when interpreting error codes, retryability, RBAC denial, timeouts, handler failures, or SDK-specific exception surfaces.

Use when registering iii functions, binding triggers, selecting sync/void/enqueue invocation, creating workers, inspecting the live worker registry, installing registry workers, authoring custom triggers, moving channel data, or adapting external HTTP functions across TypeScript, Python, and Rust.

Use when composing iii primitives into backend architectures: durable workflows, reactive backends, agentic pipelines, event-driven CQRS, effect pipelines, and trigger-transform-action automation.

WebSocket listener that SDK workers connect to. Use to expose the engine to trusted (internal) and untrusted (RBAC-protected) workers, gate function and trigger registration, and audit or transform every invocation through a middleware function. Mounts channel WebSocket endpoints on every listener.

Schema-validated, reactive registry for named configuration entries — the runtime configuration surface used by engine and Compose workers.

Configure a PreToolUse hook to prevent AI agents from skipping git pre-commit hooks with --no-verify and other bypass flags. Use when setting up Claude Code projects that enforce commit quality gates.

Engenharia reversa de specs para sistemas legados. Use quando precisar extrair specs executaveis, regras de negocio, contratos de modulo, fluxos e ADRs retroativos a partir de codigo existente sem spec previa. Trigger em: "legado", "engenharia reversa", "extrair spec", "documentar codigo existente", "vibe coding sem doc", "detective", "reverse spec", "o que esse codigo faz", "spec a partir do codigo".

Skill de sugestoes inteligentes de proxima acao. Analisa o estado atual do pipeline, artefatos produzidos, pendencias e contexto do projeto para sugerir a proxima acao mais relevante ao usuario. Trigger em: "o que fazer agora", "sugestao", "suggest", "proximo passo", "next", "what now", "me ajuda a decidir", "priorizar".

Skill de resumo de sessao para handoff entre sessoes. Consolida o que foi feito, decisoes tomadas, artefatos produzidos, pendencias e proximos passos. Facilita continuidade sem perder contexto. Trigger em: "resumo", "summary", "o que foi feito", "handoff retrospectivo", "encerrar sessao", "salvar sessao", "continuar depois", "recap".

Skill de rastreamento de custo por sessao. Monitora tokens consumidos, chamadas de API (fal.ai, Brave, Firecrawl), tempo de execucao e custo estimado por skill no pipeline. Gera relatorio de custo ao final da sessao. Trigger em: "custo", "cost", "quanto gastou", "token usage", "consumo", "budget", "relatorio de custo".

Skill de Inteligencia de Design Competitivo e Geracao de UI. Use quando precisar pesquisar concorrentes, analisar tendencias visuais de um nicho, gerar moodboards, ou melhorar interface existente com base em benchmarking visual. Trigger em: "melhorar interface", "pesquisar concorrentes", "benchmark visual", "tendencias de design", "moodboard", "redesign", "design competitivo", "analise visual", "referencia UI".

Quick single-paper lookup via AlphaXiv LLM-optimized summaries with tiered source fallback. Use when user says "explain this paper", "summarize paper", pastes an arXiv/AlphaXiv URL, or provides a bare arXiv ID for quick understanding - not for broad literature search.

Workflow 5: orchestrate a text-only resubmit of a polished paper to a different venue under hard constraints (no new experiments, no bib edits, no framework changes, never overwrite prior submissions). Use when user says "resubmit pipeline", "重投流程", "port paper to <new venue>", "resubmit to <venue>", "tighten paper for resubmission", or has a rejected/withdrawn paper to move to a different top venue under tight time budget.

Establishes a project's quality bar as a written contract and stops agents quietly lowering it. Interviews the user on which dimensions matter, supplies sane default thresholds when they have no number in mind, records everything in CONSTRAINTS.md, and watches the diff for a weakened bar — new @ts-ignore or eslint-disable suppressions, skipped or deleted tests, assertions stripped out, unimplemented stubs, thresholds edited down. Use when no quality bar is written down, when the user says "set up constraints" or "define our standards", when the user wants dimensions they care about — accessibility, web performance, coverage — set up as enforced constraints, when an agent keeps silencing checks or skipping tests to get to green, when you need a coverage or performance threshold and don't know what number to pick, or when an agent writes more code than anyone will read.

Set up or check claude-mem cloud sync with cmem.ai Pro. Use when the user says "set up cloud sync", "sync my memories", "cmem pro", "cloud backup", "sync status", or wants their memory database backed up or synced to their cmem.ai account.

Run the CCS Align seat's hourly breathing cycle — prove the local claude-mem worker is healthy, pull needle observations through search → timeline → get_observations, land them in a seat-owned middle cache via atomic grab → append → filter exclude-marks → replace, manage exclude marks, and walk house → project → seat rules to detect conflicts (SHADOW_HOUSE, DENY_ALLOW, DRIFT, CLOCK_HEADER) with an append-only rules-report.md. Use when asked to run CCS Align, breathe the alignment seat, refresh the middle cache, exclude or restore an observation, walk rules, check rules conflicts, or check the Worker Watch board.

Use this when setting up claude-mem on Grok Bot: local worker plus CMEM Pro observer (default), optional host-login observer, or remote cmem.ai. No Cursor required.

Use this when the user asks to search memory, "did we already solve this?", "how did we do X last time?", or wants work from previous sessions.

Use this when the user asks to search memory, "did we already solve this?", "how did we do X last time?", or wants work from previous sessions.

dd-trace-py LLMObs integration development guide. Use when creating, modifying, or debugging LLMObs integrations for LLM/AI libraries in the Python tracer. Covers BaseLLMIntegration, stream handling, message extraction, token counting, tool call parsing, and VCR-based testing patterns. Triggers: "llmobs", "LLMObs", "BaseLLMIntegration", "llmobs_set_tags", "_llmobs_set_tags", "BaseStreamHandler", "submit_to_llmobs", "integration.trace", "LLM span", "VCR", "cassette", "anthropic", "openai", "google_genai", "claude_agent_sdk", "generative-ai", "LLM integration", "llmobs_enabled".