deepresearchwork_skill

This skill conducts thorough topic research by combining web search, verification, and structured synthesis to produce validated findings.
  • Python

2.5k

GitHub Stars

5

Bundled Files

2 months ago

Catalog Refreshed

4 months ago

First Indexed

Readme & install

Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.

Installation

Preview and clipboard use veilstrat where the catalogue uses aiagentskills.

npx veilstrat add skill openclaw/skills --skill deepresearchwork

  • _meta.json302 B
  • README.md2.1 KB
  • research_template.md2.4 KB
  • research_workflow.js9.5 KB
  • SKILL.md6.2 KB

Overview

This skill is a comprehensive research framework that combines multi-source web search, content extraction, credibility assessment, and iterative synthesis to produce structured, verifiable research reports. It is built to support deep investigations across academic, business, and public-interest topics, with an emphasis on cross-validation and traceable findings. Use it when you need systematic, evidence-based research rather than quick summaries.

How this skill works

The skill plans the research by defining objectives and search criteria, then performs broad web searches to map the information landscape. It fetches and extracts full content from prioritized sources, cross-references claims, assesses source authority and bias, and iterates through focused cycles of validation and synthesis. Outputs include an executive summary, detailed thematic findings, source credibility assessments, and a list of remaining questions for follow-up.

When to use it

  • Conducting literature reviews or academic background research
  • Performing market or competitive intelligence with source verification
  • Fact-checking contentious claims and identifying misinformation
  • Preparing in-depth briefing notes or decision-support reports
  • Exploring a new technical domain or compiling expert opinions

Best practices

  • Start with clear research questions and measurable validation criteria
  • Prioritize primary and peer-reviewed sources for critical claims
  • Document all sources and dates to preserve temporal context
  • Cross-validate key facts across at least two independent authoritative sources
  • Note limitations and confidence levels for every major claim

Example use cases

  • Create a 2–3 page research brief on emerging AI regulation with supporting citations
  • Verify the provenance and accuracy of a disputed statistic before publishing
  • Compile and synthesize academic and industry perspectives on a new technology
  • Produce a credibility assessment of media coverage on a breaking event
  • Assemble an annotated bibliography and executive summary for grant applications

FAQ

It highlights contradictions, ranks the sources by credibility and recency, and recommends further validation steps or expert consultation for unresolved disputes.

What output formats are produced?

The primary output is a structured research report with an executive summary, thematic findings, supporting evidence, source evaluations, and a list of open questions; it can be adapted into notes or persistent records for later reference.

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