Deliver the requested JSON schema for your application.
npx skills add https://github.com/qsdrqs/dotfiles --skill researcher-qsdrqs
Please help me install this Agent Skill. Skill: researcher Source: https://github.com/qsdrqs/dotfiles/tree/main/opencode/skills/researcher Command: npx skills add https://github.com/qsdrqs/dotfiles --skill researcher-qsdrqs
This skill enables iterative web research to transform vague prompts into evidence-backed answers by clarifying goals, performing broad initial scans, proposing directions, and conducting multiple deep-dive rounds that incorporate user feedback. It prioritizes fetching and reading original sources (not just search snippets) and uses pdf-to-text tools to extract PDFs when needed. Use cases include researching topics, collecting sources, locating papers/docs/forums, tracking latest developments, comparing approaches, gathering community discussions, and fact-checking claims.
Provide a prompt and I will clarify it, run an iterative multi-round search, and deliver an evidence-backed synthesis with sources.
High-intent search queries and answers about installing and using this skill.
To extract evidence from PDFs for research, this skill fetches original sources and uses pdf-to-text tools to read documents, ensuring your synthesis is backed by full texts rather than just search snippets.
The best way to fact-check claims using iterative web research is performing multi-round scans that evaluate original sources. This process clarifies the prompt, proposes directions, and deep-dives to verify information accuracy.
You collect papers and forum discussions by running broad initial scans followed by targeted deep-dive rounds. This iterative web research preserves source provenance and surfaces trade-offs for your final synthesis.
Yes, you can use this research workflow to track latest developments and compare approaches. It conducts multi-round scans to gather community discussions and evidence, informing decisions and identifying next steps.
No external dependencies are required. The iterative research tool operates using local scripts and frontmatter-defined guidance to execute reproducible workflow steps and extract data from original sources.
You should not use automated iterative web research when you need a single direct answer without source provenance, as this workflow is designed for multi-round scans, evidence extraction, and comprehensive synthesis rather than quick lookups.
seankao31Translate vague ideas into actionable design directions with clarifying questions.
tuanldasCoordinate structured multi-source research with evidence triangulation and documented trade-offs.
JuanMS20Extract text from PDFs and scanned documents using pymupdf and marker-pdf.
djimitOrchestrate iterative web searches, parallel synthesis, and dual-reviewer claim verification for cited reports.
