Apache Tika Server REST API를 활용하여 PDF, DOCX, PPTX 등 1,200개 이상의 파일 형식에서 구조화된 텍스트를 추출합니다. Tika /rmeta/text 엔드포인트와 재귀적 파싱 모드를 사용하여 메타데이터를 보존한 깔끔한 마크다운을 출력합니다.
Apache Tika 문서 추출기는 Apache Tika Server의 REST API를 래핑하여 다양한 문서 형식에서 텍스트와 메타데이터를 추출하는 AI 에이전트 스킬입니다. PDF, DOCX, PPTX를 포함한 1,200개 이상의 파일 형식을 지원하며, Tika의 /rmeta/text 엔드포인트를 사용하여 구조화된 텍스트와 메타데이터를 마크다운 형식으로 출력합니다. 재귀적 파싱 모드를 지원하여 복잡한 문서 구조에서도 깔끔한 결과를 제공합니다. 이 스킬은 Docker 기반의 통합 테스트를 지원하며, Claude Code, Cursor, Codex 등 다양한 AI 에이전트 플랫폼에서 활용할 수 있습니다. 개발자 및 AI 에이전트 사용자는 이를 통해 문서 처리, 데이터 추출, 검색 색인 생성 등 다양한 작업을 자동화할 수 있습니다.
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/apache-tika-document-extractorApache Tika Server REST API를 활용하여 PDF, DOCX, PPTX 및 1,200개 이상의 파일 형식에서 구조화된 텍스트를 추출합니다. Tika /rmeta/text 엔드포인트와 재귀적 파싱 모드를 사용하여 메타데이터를 보존한 깔끔한 마크다운을 출력합니다.
업스트림 요구 사항 및 주의사항:
기본 사용법 또는 시작 가이드 노트:
출처: https://github.com/apache/tika 업스트림 문서에서 추출: https://raw.githubusercontent.com/apache/tika/HEAD/README.md
This repo contains 20 individual skills — each has its own dedicated page.
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.
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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.
ActivityWatch is a privacy-first, open-source automated time tracker that records application usage, browser activity, and AFK status across Windows, macOS, and Linux. With 16k+ GitHub stars, it provides detailed productivity analytics without sending data to external servers.
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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.
Use when testing, fixing, or extending the OpenClaw Control UI GUI with Vitest + Playwright end-to-end checks, mocked Gateway WebSocket flows, mocked dashboard runs, screenshots/videos, or agent-verifiable browser proof.
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.