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Apache Tika Content Extraction Hub

Extrahiert Text und Metadaten aus über 1400 Dateiformaten über die Apache Tika Server REST-API. Unterstützt PDF, DOCX, PPTX, E-Mail-Archive und eingebettete Dokumentenextraktion mit MIME-Typ-Erkennung.

Was ist Apache Tika Content Extraction Hub?

Der Apache Tika Content Extraction Hub ist eine leistungsstarke Fähigkeit für KI-Agenten, die Text und Metadaten aus über 1400 Dateiformaten extrahiert. Er nutzt die Apache Tika Server REST-API, um gängige Formate wie PDF, DOCX, PPTX, E-Mail-Archive (z. B. MSG, PST) und eingebettete Dokumente zu verarbeiten. Die Fähigkeit identifiziert automatisch MIME-Typen, um eine korrekte Verarbeitung sicherzustellen, und ist ideal für Entwickler und DevOps-Ingenieure, die Dokument-Workflows in Python-, Java- oder Node.js-Umgebungen automatisieren möchten. Apache Tika wird häufig in Datenpipeline-Tools, Suchplattformen und Chatbots integriert, um unstrukturierte Dateien in durchsuchbaren Text umzuwandeln. Die Installation erfordert Docker für Tests, aber die Kernfunktionen lassen sich ohne zusätzliche Abhängigkeiten über HTTP integrieren. Diese Fähigkeit basiert auf der Open-Source-Bibliothek von Apache und wird im Agent Skill Exchange als zuverlässige Lösung für die Dokumentenextraktion in KI-gesteuerten Systemen gelistet.

Funktioniert mit~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/apache-tika-content-extraction-hub
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Dokumentation

Was macht Apache Tika Content Extraction Hub?

Extrahiert Text und Metadaten aus über 1400 Dateiformaten über die REST-API des Apache Tika Servers. Verarbeitet PDF, DOCX, PPTX, E-Mail-Archive und die Extraktion eingebetteter Dokumente mit MIME-Typ-Erkennung.

Installation

Anforderungen und Hinweise des Upstream-Projekts:

  • Hinweis: Docker wird für Tests in tika-integration-tests verwendet. Wenn Docker nicht installiert ist, werden diese Tests übersprungen.

Grundlegende Nutzung oder Einstiegsnotizen:

  • ===========
  • Eine Datei in Java parsen:
  • java

Quelle: https://github.com/apache/tika Aus den Upstream-Dokumenten extrahiert: https://raw.githubusercontent.com/apache/tika/HEAD/README.md

Quelle

Individual skills in this repo

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

Academic Paper Citation Network Mapper

Builds citation networks from Semantic Scholar API and CrossRef DOI metadata. Visualizes paper influence graphs using NetworkX, identifies seminal works, and tracks research lineage across fields.

ACF Custom Fields REST Exposer

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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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