| name | documents |
| description | Document management and analysis. List, retrieve, and analyze indexed documents across all connected sources. |
| category | documents |
| version | 1.0.0 |
| tools | ["list_documents","get_document","get_document_chunks"] |
| triggers | {"keywords":["document","file","list","retrieve","chunks","content"]} |
| examples | [{"input":"List recent documents from Google Drive"},{"input":"Get the full content of that document"},{"input":"Show me the chunks for document X"}] |
Documents Skill
Access and analyze indexed documents from all connected data sources.
Available Tools
-
list_documents - List indexed documents with filtering
- Filter by connector type, date range, author
- Paginate through large result sets
- Sort by relevance, date, or title
-
get_document - Retrieve full document content and metadata
- Returns document title, content, author, dates
- Includes connector source information
- Access control enforced
-
get_document_chunks - Get processed chunks from a document
- Returns semantic chunks with embeddings info
- Useful for understanding document structure
- Shows chunk boundaries and overlap
Document Types
Documents come from various connected sources:
- Google Drive: Docs, Sheets, Slides, PDFs
- Notion: Pages, databases
- Confluence: Pages, spaces
- Linear: Issues, projects
- Slack: Messages, threads
- Gmail: Emails, threads
Use Cases
- Retrieving specific documents by ID
- Listing recent documents from a source
- Analyzing document structure and content
- Building context from multiple documents
Access Control
All document access respects user permissions:
- Only documents the user can access are returned
- Connector-level permissions are enforced
- Team-level isolation is maintained