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Kotaemon을 통한 비공개 문서 컬렉션과 대화

자가 호스팅 Kotaemon 문서 QA 워크플로우를 실행하여 에이전트가 비공개 파일을 색인하고, 근거 있는 질문을 하며, 인용된 답변을 반환할 수 있도록 합니다.

Kotaemon을 통한 비공개 문서 컬렉션과 대화란 무엇인가요?

이 스킬은 에이전트가 Docker 또는 Python 환경을 통해 Kotaemon을 자체 호스팅하여 비공개 문서 컬렉션에 대한 질의응답(QA) 워크플로우를 실행할 수 있게 해줍니다. 에이전트는 비공개 파일을 색인한 후, 문서 내용에 기반한 질문을 하고 인용된 답변을 반환받을 수 있습니다. OpenAI, AzureOpenAI, Ollama 등 다양한 LLM 공급자와 연동되며, Gradio 기반으로 확장이 용이하고 GraphRAG 같은 고급 색인 전략을 지원합니다. 주로 CLI 에이전트(예: Claude Code)와 함께 사용되며, Kotaemon의 Docker 이미지(`ghcr.io/cinnamon/kotaemon:main-ollama` 또는 `main-lite`)를 실행한 후 문서를 업로드하고 QA를 수행합니다.

지원 대상~Claude Code✓Codex CLI~Cursor
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/chat-with-private-document-collections-through-kotaemon
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이 에이전트 스킬이 미리 로드된 새 채팅을 엽니다.

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스킬 README에서

Python 3.10+
Kotaemon을 통한 비공개 문서 컬렉션과 대화 preview

문서

Kotaemon을 통한 비공개 문서 컬렉션과 대화은(는) 무엇을 하나요?

자가 호스팅 Kotaemon 문서 QA 워크플로우를 실행하여 에이전트가 비공개 파일을 색인하고, 근거 있는 질문을 하며, 인용된 답변을 반환할 수 있도록 합니다.

전제 조건

Docker 또는 Python 환경, Kotaemon, 색인할 문서 컬렉션, 구성된 LLM 제공자 또는 Ollama와 같은 로컬 모델

설치

환경에 맞는 업스트림 설치 또는 설정 경로를 사용하세요:

  • Docker: 선택 사항, Docker로 설치하는 경우 필요
  • docker run
  • docker run <...> ghcr.io/cinnamon/kotaemon:main-ollama
  • docker run <...> ghcr.io/cinnamon/kotaemon:main-lite

업스트림의 요구 사항 및 주의 사항:

  • Python 3.10+
  • 다양한 LLM 지원: LLM API 제공자(OpenAI, AzureOpenAI, Cohere 등) 및 로컬 LLM(ollama 및 llama-cpp-python을 통해)과 호환됩니다.

기본 사용법 또는 시작 노트:

문서

출처

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

Exposes Advanced Custom Fields data through the WordPress REST API using register_rest_field and acf_format_value. Handles repeater fields, flexible content layouts, and gallery fields with proper serialization.

ACF Extended for Advanced Custom Fields Workflows

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.

ACF to Gutenberg Block Migrator

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 Open Source Workflow Automation

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 Cross-Platform Automated Time Tracker and Producti

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.

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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