Orchestrate papercli to retrieve papers and generate findings.md with references.
npx skills add https://github.com/jimezsa/opencolab --skill fast-search
Please help me install this Agent Skill. Skill: fast-search Source: https://github.com/jimezsa/opencolab/tree/main/projects/SKILLS/fast-search Command: npx skills add https://github.com/jimezsa/opencolab --skill fast-search
Scientists and researchers require rapid, traceable access to literature. This skill orchestrates fast retrieval, reading, and structured summaries to deliver a concise, evidence-backed briefing.
Run papercli to perform a fast literature search, download PDFs, generate a findings.md with inline references, and produce a companion literature-map diagram.
High-intent search queries and answers about installing and using this skill.
To automate literature search, you can use papercli to download PDFs, extract content, attach references, and generate a findings.md with inline citations and a companion literature-map diagram.
The best way to get quick topic orientation is to apply scope constraints and inclusion criteria during paper retrieval, which generates a concise, evidence-backed briefing for rapid research orientation.
No, the literature search process requires no external dependencies or components to function. It operates independently to orchestrate retrieval, content extraction, and reference-coupled summaries using papercli.
Yes, you can generate a literature-map diagram from downloaded PDFs. The Skill uses papercli to extract content and produce a companion diagram visualizing connections between the retrieved scientific papers.
To ensure traceable access to literature during a fast review, the workflow produces reference-coupled summaries. It attaches references directly to extracted content and generates a reusable corpus for future reviews.
Research automation for literature scouting is limited by the need for configurable scope and inclusion criteria to maintain quality. It is designed for quick topic orientation rather than exhaustive systematic reviews.
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