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Capturer et rejouer les trajectoires Claude Code pour le déboga…

Enregistrez des trajectoires structurées de Claude Code, les différences git masquées et rejouez des branches lorsque le comportement d'un agent nécessite un débogage forensique plutôt qu'une révision de transcription ad hoc.

Qu'est-ce que Capturer et rejouer les trajectoires Claude Code pour le déboga… ?

Cette compétence permet d'enregistrer et de rejouer des trajectoires structurées de Claude Code, des différences git masquées et des branches de rejeu pour le débogage forensique des agents. Utilisant Agent Lens, elle offre une alternative à la révision de transcriptions ad hoc en fournissant une vue structurée et rejouable des sessions. Supportée par Claude Code via le SDK Agent Claude, elle est idéale pour les environnements complexes où retracer le comportement exact de l'agent est essentiel. L'outil capture les tours de conversation et les actions, et permet de rejouer des sessions entières ou des parties spécifiques pour analyser les bugs ou valider des correctifs. Actuellement expérimental pour le rejeu au niveau des tours, il prend en charge l'enregistrement et la visualisation des trajectoires, avec un support prévu pour d'autres frameworks d'agents à l'avenir.

Compatible avec✓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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Capturer et rejouer les trajectoires Claude Code pour le débogage multi-session avec Agent Lens

Enregistrez des trajectoires structurées de Claude Code, les différences git masquées et rejouez des branches lorsque le comportement d'un agent nécessite un débogage forensique plutôt qu'une révision de transcription ad hoc.

Prérequis

Python 3.12+, uv, Agent Lens, et un accès Claude Code via un abonnement ou une clé API compatible avec le SDK Agent Claude.

Installation

Utilisez le chemin d'installation en amont ou la configuration adaptée à votre environnement :

  • git clone <ce-dépôt>
  • uv sync
  • npm install
  • npm run dev

Exigences et mises en garde de la source en amont :

  • Nécessite Python >= 3.12 et uv.
  • Avec le fournisseur : anthropic (par défaut), si aucune clé ANTHROPIC_API_KEY n'est définie, le SDK utilise les identifiants de votre abonnement Claude Code depuis ~/.claude/credentials.json (nécessite Claude Pro/Max). L'utilisation est couverte par votre...
  • Vous explorez une base de code Python. Utilisez MEMORY.md pour prendre des notes.

Notes d'utilisation de base ou de démarrage :

Documentation

Source

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

act is an open-source CLI tool that runs GitHub Actions workflows locally using Docker, enabling fast feedback on workflow changes without pushing to GitHub. It is a standard tool for local Actions development and testing.

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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