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Auditar declaraciones de dependencias de Python en busca de imp…

Usa Deptry cuando un agente necesite verificar que las dependencias declaradas de un proyecto Python aún coinciden con las importaciones que el código realmente utiliza.

¿Qué es Auditar declaraciones de dependencias de Python en busca de imp…?

Este skill permite que un agente de IA audite de forma automatizada las dependencias declaradas en un proyecto Python (usando gestores como Poetry, pip, PDM o uv) para detectar dependencias directas no utilizadas, declaraciones faltantes e importaciones transitivas que funcionan solo por accidente. Es útil durante el proceso de revisión previa al lanzamiento, ya que ayuda a mantener un archivo de dependencias limpio, reduce el riesgo de errores en producción y facilita la identificación de dependencias obsoletas o superfluas. El agente escanea el código fuente, compara las importaciones reales con las declaradas en pyproject.toml, setup.py, requirements.txt u otros archivos de configuración, y puede generar commits de limpieza o bloquear el lanzamiento si se encuentran problemas. El skill se basa en la herramienta Deptry, que es compatible con los gestores de paquetes más comunes de Python. Su instalación es sencilla mediante comandos como 'uv add --dev deptry' o 'pip install deptry'. La documentación oficial y el código fuente están disponibles en los enlaces proporcionados.

Compatible con~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/audit-python-dependency-declarations-before-release
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Versiones de Python compatibles

Documentación

Auditar declaraciones de dependencias de Python en busca de importaciones no utilizadas, faltantes y transitivas antes del lanzamiento

Usa Deptry cuando un agente necesite verificar que las dependencias declaradas de un proyecto Python aún coinciden con las importaciones que el código realmente utiliza. El agente escanea el código fuente, señala dependencias directas no utilizadas, declaraciones faltantes e importaciones transitivas que solo funcionan por accidente, y luego convierte los hallazgos en commits de limpieza o bloqueadores de lanzamiento.

Prerrequisitos

Python más Deptry configurado contra el repositorio objetivo

Instalación

Usa la ruta de instalación o configuración ascendente que coincida con tu entorno:

  • uv add --dev deptry
  • pip install deptry

Requisitos y advertencias del proyecto ascendente:

  • Versiones de Python compatibles
  • deptry es una herramienta de línea de comandos para verificar problemas con las dependencias en un proyecto Python, como dependencias no utilizadas o faltantes.
  • usando Poetry, pip, PDM, uv

Notas de uso básico o inicio rápido:

Documentación

Fuente

Individual skills in this repo

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

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ACF Extended for Advanced Custom Fields Workflows

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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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