research-report
SolidSummarize deep research results into markdown report, cover all fields, skip uncertain values.
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Quality Score: 91/100
Skill Content
Details
- Author
- Weizhena
- Repository
- Weizhena/Deep-Research-skills
- Created
- 5 months ago
- Last Updated
- 3 weeks ago
- Language
- Python
- License
- MIT
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research-report
Run a deep research dive on any topic and either produce a polished Quarto HTML report (official mode — files written to research/<umbrella>/<title>/) or reply with structured findings inline (scan mode — no files). Use when the user invokes $workbench:research-report, /workbench:research, /workbench:scan, or says "research X for me", "do a deep dive on X", "give me a quick read on X", "what's the state of X", "scan X for me", "write up findings on X". Covers maximum surface area across web, Reddit, GitHub, ProductHunt, docs, papers, and any other available sources. Always converges output to exactly notes.md + report.html (official mode) or a structured chat reply (scan mode). Never proliferates files.
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deep-research
Generate format-controlled research reports with evidence tracking, citations, and iterative review. This skill should be used when users request a research report, literature review, market or industry analysis, competitive landscape, policy or technical brief, or require a strict report template and section formatting that a single deepresearch pass cannot reliably enforce.
deep-research
Generate format-controlled research reports with evidence tracking, citations, and iterative review. This skill should be used when users request a research report, literature review, market or industry analysis, competitive landscape, policy or technical brief, or require a strict report template and section formatting that a single deepresearch pass cannot reliably enforce.
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Autonomous research pipeline — topic to structured documents with HTML/PDF output. Proven at HEL (28 docs, 91K words) and OOPS (9 docs, 20K words) scale.