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Capturar e reproduzir trajetórias do Claude Code para depuração…

Registre trajetórias estruturadas do Claude Code, faça shadow de diffs git e reproduza branches quando o comportamento do agente precisar de depuração forense em vez de revisão de transcrições ad hoc.

O que é Capturar e reproduzir trajetórias do Claude Code para depuração…?

Esta skill permite que desenvolvedores capturem e reproduzam trajetórias completas do Claude Code para depuração forense multissessão usando a ferramenta Agent Lens. Em vez de revisar transcrições de texto sem estrutura, você pode registrar o fluxo exato de ações do agente, incluindo diffs git ocultos (shadow git diffs), e reproduzir branches inteiros para entender o que aconteceu em uma sessão anterior. A skill utiliza o Claude Agent SDK para se conectar ao Claude Code (via assinatura ou chave de API) e gera uma interface visual (via npm run dev) que lista execuções e permite inspeção detalhada turno a turno. É particularmente útil para equipes que precisam auditar o comportamento de agentes de IA em ambientes de desenvolvimento, depurar erros complexos ou analisar interações de longo prazo. Atualmente suporta Claude Code, com planos para adicionar outros agentes e frameworks no futuro.

Funciona com✓Claude Code~Codex CLI~Cursor
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/capture-and-replay-claude-code-trajectories-for-multi-session-debugging-with-agent-lens

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Capturar e reproduzir trajetórias do Claude Code para depuração multissessão com Agent Lens

Registre trajetórias estruturadas do Claude Code, faça shadow de diffs git e reproduza branches quando o comportamento do agente precisar de depuração forense em vez de revisão de transcrições ad hoc.

Pré-requisitos

Python 3.12+, uv, Agent Lens e acesso ao Claude Code através de assinatura ou chave de API compatível com o Claude Agent SDK

Instalação

Use o caminho de instalação ou configuração upstream que corresponda ao seu ambiente:

  • git clone
  • uv sync
  • npm install
  • npm run dev

Requisitos e observações do upstream:

  • Requer Python >= 3.12 e uv.
  • Com o provedor anthropic (padrão), se nenhuma ANTHROPIC_API_KEY estiver definida, o SDK recorre às credenciais da sua assinatura do Claude Code em ~/.claude/credentials.json (requer Claude Pro/Max). O uso é coberto por sua assinatura.
  • Você está explorando um código base Python. Use MEMORY.md para manter anotações.

Uso básico ou notas de início rápido:

Documentação

Fonte

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

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ACF to Gutenberg Block Migrator

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Activepieces Open Source Workflow Automation

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ActivityWatch Cross-Platform Automated Time Tracker and Producti

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act Local GitHub Actions Runner

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Add a browser review checkpoint before risky agent actions with

Use AgentClick when an agent should pause before risky commands, plans, drafts, or code changes so a human can inspect, edit, approve, or reject them in a purpose-built browser UI.

Add Claude design-system and accessibility workflows with UX/UI

Use UX/UI Agent Skills when Claude should generate tokens, component specs, accessibility audits, and framework-specific UI code from a repeatable design workflow.

Add executable smoke tests for shell scripts and CLIs before ref

Use Bats-core when an agent needs to turn fragile shell scripts or command-line workflows into something it can verify repeatedly after edits. The agent writes focused Bash tests for success paths, failure paths, and output contracts, then runs them locally or in CI before a refactor, release, or incident fix goes out.

Add graph-backed memory and context retrieval to agent workflows

Use Cognee to ingest project knowledge into graph and vector memory so agents can retrieve durable context across sessions and workflows.

Add IDE-style semantic code navigation and symbol-safe refactors

Give a coding agent symbol-aware lookup, cross-file rename, and structural edit tools before it starts making brittle text-only changes.

Add managed long-term memory to LangGraph agents with LangMem

Give LangGraph agents memory management and search tools so they can store, retrieve, and update durable facts across sessions.

Add multimodal lifelong memory to MCP and Python agents with Sim

Use SimpleMem to store, compress, index, and retrieve text or multimodal memories for agents through MCP or Python integrations.

Add persistent project memory and hook-driven synthesis with Cla

Keep Claude Code sessions grounded in prior decisions, project context, and daily handoff notes instead of starting from zero every time.

Add Postgres-native vector retrieval to agent and RAG workflows

Store embeddings beside application data in Postgres, create vector indexes, and query nearest neighbors for semantic search, RAG, recommendations, or agent memory retrieval.

Address GitHub PR review comments from the current branch with g

Find the open PR for the current branch, gather unresolved review comments, and drive a focused comment-resolution workflow with gh-authenticated context.

Add runtime guardrails to TypeScript agents with VoltAgent

Use VoltAgent to intercept, validate, and enforce input/output policies in TypeScript agent workflows.

Add temporal context memory to agent workflows with Zep

Use Zep as an external context layer for agents that need to store events, assemble temporal graph context, and retrieve relevant memory before model calls.

Adobe Firefly API Batch Image Generator

Calls Adobe Firefly

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