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Apache Tika Document Extractor

Enveloppe l'API REST du serveur Apache Tika pour extraire du texte structuré à partir de PDF, DOCX, PPTX et plus de 1 200 formats de fichiers. Produit un markdown propre avec conservation des métadonnées en utilisant le point d'accès /rmeta/text de Tika et le mode d'analyse récursif.

Qu'est-ce que Apache Tika Document Extractor ?

Apache Tika Document Extractor est une compétence qui encapsule l'API REST du serveur Apache Tika, permettant aux agents d'IA (comme Claude Code, Cursor ou Codex) d'extraire un texte structuré à partir de documents dans plus de 1 200 formats de fichiers, y compris PDF, DOCX, PPTX et de nombreux autres. En utilisant le point d'accès /rmeta/text et le mode d'analyse récursif, elle produit un markdown propre tout en préservant les métadonnées essentielles (auteur, date, titre, etc.). Cette compétence s'appuie sur une installation via Docker (nécessaire pour les tests d'intégration) et tire parti de l'infrastructure open-source d'Apache Tika. Elle est particulièrement utile pour les développeurs et ingénieurs logiciels qui ont besoin d'extraire et de structurer des données textuelles à partir de documents variés au sein d'un pipeline automatisé, sans s'encombrer de la complexité des formats natifs.

Compatible avec~Claude Code✓Codex CLI~Cursor
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/apache-tika-document-extractor
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Documentation

Que fait Apache Tika Document Extractor ?

Enveloppe l'API REST du serveur Apache Tika pour extraire du texte structuré à partir de PDF, DOCX, PPTX et plus de 1 200 formats de fichiers. Produit un markdown propre avec conservation des métadonnées en utilisant le point d'accès /rmeta/text de Tika et le mode d'analyse récursif.

Installation

Exigences et mises en garde de la source amont :

  • N.B. Docker est utilisé pour les tests dans tika-integration-tests. Si Docker n'est pas installé, ces tests sont ignorés.

Remarques sur l'utilisation de base ou la prise en main :

  • ===========
  • Analyser un fichier en Java :
  • java

Source : https://github.com/apache/tika Extrait de la documentation amont : https://raw.githubusercontent.com/apache/tika/HEAD/README.md

Source

Individual skills in this repo

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

Academic Paper Citation Network Mapper

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ACF Extended for Advanced Custom Fields Workflows

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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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