Apache Tika REST API를 사용하여 PDF, Office 문서 및 1000개 이상의 파일 형식에서 구조화된 텍스트, 메타데이터, 임베디드 객체를 추출합니다. XMP 메타데이터를 보존한 깔끔한 Markdown 또는 JSON을 출력합니다.
Apache Tika 문서 파서(Apache Tika Document Parser)는 Apache Tika REST API를 활용하여 다양한 문서 형식에서 텍스트와 메타데이터를 추출하는 AI 에이전트 스킬입니다. PDF, Microsoft Office 문서, OpenDocument, HTML, XML 등 1000개 이상의 파일 형식을 지원하며, XMP 메타데이터를 보존하여 깔끔한 Markdown 또는 JSON 형식으로 출력합니다. 이 스킬은 문서 분석, 데이터 추출, 콘텐츠 변환 작업에 유용하며, Docker 환경에서 테스트할 수 있습니다. AI 에이전트(예: Claude Code, Cursor, Codex)와 함께 사용되어 복잡한 문서 처리 파이프라인을 자동화하고, 다중 형식 문서에서 구조화된 정보를 효율적으로 추출할 수 있습니다.
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/apache-tika-document-parserApache Tika REST API를 사용하여 PDF, Office 문서 및 1000개 이상의 파일 형식에서 구조화된 텍스트, 메타데이터, 임베디드 객체를 추출합니다. XMP 메타데이터를 보존한 깔끔한 Markdown 또는 JSON을 출력합니다.
상위 프로젝트의 요구 사항 및 주의 사항:
기본 사용법 또는 시작 방법:
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Java에서 파일 파싱하기:
java
상위 문서에서 추출: https://raw.githubusercontent.com/apache/tika/HEAD/README.md
This repo contains 20 individual skills — each has its own dedicated page.
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An ASE skill built around ACF Extended, the WordPress enhancement suite for Advanced Custom Fields that adds field types, admin improvements, front-end forms, options pages, and developer tooling. It is a practical fit for agents working inside complex WordPress content models and custom field workflows.
Converts Advanced Custom Fields field groups into native Gutenberg blocks using the ACF Block API v2 and @wordpress/scripts build pipeline. Maps ACF repeaters, groups, and flexible content to InnerBlocks and block attributes with server-side rendering via acf_register_block_type().
Activepieces is an open-source, self-hostable workflow automation platform with 200+ integrations. It provides a visual builder for creating automated workflows and exposes all its connectors as MCP servers for AI agent use.
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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.
Use UX/UI Agent Skills when Claude should generate tokens, component specs, accessibility audits, and framework-specific UI code from a repeatable design workflow.
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.
Use Cognee to ingest project knowledge into graph and vector memory so agents can retrieve durable context across sessions and workflows.
Give a coding agent symbol-aware lookup, cross-file rename, and structural edit tools before it starts making brittle text-only changes.
Give LangGraph agents memory management and search tools so they can store, retrieve, and update durable facts across sessions.
Use SimpleMem to store, compress, index, and retrieve text or multimodal memories for agents through MCP or Python integrations.
Keep Claude Code sessions grounded in prior decisions, project context, and daily handoff notes instead of starting from zero every time.
Store embeddings beside application data in Postgres, create vector indexes, and query nearest neighbors for semantic search, RAG, recommendations, or agent memory retrieval.
Find the open PR for the current branch, gather unresolved review comments, and drive a focused comment-resolution workflow with gh-authenticated context.
Use VoltAgent to intercept, validate, and enforce input/output policies in TypeScript agent workflows.
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.
Calls Adobe Firefly
Extract frames or short clips from videos using ffmpeg.
Summarize or transcribe URLs, YouTube/videos, podcasts, articles, transcripts, PDFs, and local files.
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Obra superpowers agent skills.
See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio...
End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches. Use when planning or executing a multi-channel product launch, or producing landing page, email, social, or ad copy.