Synthesize sourced information into structured research reports with validation.
npx skills add https://github.com/312362115/claude --skill deep-research-312362115
Please help me install this Agent Skill. Skill: deep-research Source: https://github.com/312362115/claude/tree/main/skills/deep-research Command: npx skills add https://github.com/312362115/claude --skill deep-research-312362115
Deep Research enables teams to systematically understand complex propositions and produce professional, evidence-backed reports that withstand scrutiny and support decision-making.
Start by defining your research proposition, setting the scope and required data sources, and invoking the six-step deep-research workflow to produce a structured report.
High-intent search queries and answers about installing and using this skill.
To generate an evidence-based research report, define a proposition and invoke the six-step workflow to synthesize structured information with explicit data provenance, confidence levels, and multi-layer validation.
The best way to structure competitive benchmarking is using hypothesis-driven investigations with iterative search depth, cross-source validation, and automatic chart generation to produce defensible, professional reports.
You visualize research findings for market analysis by running the workflow's Diagram Bridge, which leverages matplotlib and numpy dependencies to automatically generate charts and diagrams illustrating your synthesized data.
Yes, you can use structured analysis frameworks for technology strategy by applying reusable domain templates that combine internal data with curated external sources to support evidence-backed product decisions.
Yes, the deep research workflow supports multi-hop information gathering by cross-validating multiple sources, tracing evidence, and assigning confidence levels to ensure the final output meets strict sourcing requirements.
b566776Define market research scope, methodology, and data sources with web-verified evidence.
launchapp-devDesign accessible data visualizations with appropriate chart types and color palettes.
vathymutGenerate publication-quality figures for machine learning papers using Gemini AI and matplotlib/seaborn.
silva2kandCompile competitor data and provide differentiation insights for market analysis.
