Index and retrieve relevant passages from user-uploaded attachments using attachment_search.
npx skills add https://github.com/TTAWDTT/Aelin --skill file-tools-ttawdtt
Please help me install this Agent Skill. Skill: file-tools Source: https://github.com/TTAWDTT/Aelin/tree/main/backend/deepagents_skills/file_tools Command: npx skills add https://github.com/TTAWDTT/Aelin --skill file-tools-ttawdtt
This skill helps teams and AI agents retrieve and reason over user-provided attachments using attachment_search and file tools, enabling context-aware answers drawn from documents, notes, and PDFs.
Ask the AI to search the user's attachments using attachment_search to retrieve relevant passages and then respond with a contextual summary.
High-intent search queries and answers about installing and using this skill.
You can retrieve specific passages from documents and PDFs by using attachment_search with defined parameters like query, top_k, and mode. The AI then surfaces relevant excerpts and cites source material directly in the response.
Contextual retrieval works by indexing user-uploaded attachments and searching within them to surface relevant passages, summaries, or excerpts. It combines retrieved content with user prompts to produce informed, context-aware answers grounded in source material.
Yes, you can get a concise summary of a contract or research note from an attached file. The AI pulls key passages from the document and responds with a synthesized summary based on the retrieved context.
If document retrieval finds no matching content in your attachments, the AI returns an informative response or guidance instead of a fabricated answer. This deterministic behavior ensures responses rely strictly on indexed file content.
You can configure search parameters for attachment search by specifying query, top_k, and mode. These defined parameters enforce deterministic behavior, ensuring the file tools retrieve precise and relevant document excerpts.
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