deep-research

name	deep-research
description	Structured multi-step research: search → extract → cross-reference → synthesize with citations.
version	1.0.0
metadata	{"echo":{"tags":["Research","Deep","Analysis","Synthesis","Citations"]}}

Deep Research

Multi-step research workflow that produces cited reports from multiple sources.

Workflow

1. Decompose — Break the question into 3-5 sub-questions
2. Search — Run multiple searches per sub-question (diverse keywords)
3. Extract — Fetch and extract content from top URLs
4. Cross-reference — Compare claims across sources, flag conflicts
5. Synthesize — Write structured report with inline citations

Usage

python3 scripts/research_report.py "What are the best practices for LLM agent memory in 2026?"
python3 scripts/research_report.py "Compare FastAPI vs Litestar performance" --depth deep

Output Format

Reports follow this template:

# Research Report: {Topic}

**Date:** YYYY-MM-DD
**Sources consulted:** N

## Summary
2-3 sentence overview of findings.

## Key Findings

### Finding 1
Detail with evidence. [Source 1][1] confirms that...

### Finding 2
...

## Conflicting Information
Where sources disagree, note both positions.

## Conclusion
Actionable synthesis.

## Sources
[1]: https://... — Title
[2]: https://... — Title

Depth Levels

Level	Searches	Pages Read	Time
quick	2-3	3-5	~30s
normal	5-8	8-12	~2min
deep	10-15	15-25	~5min

Combining with Other Skills

• Use web-search for the search step
• Use web-extract for the extraction step
• Use summarize skill for per-page summaries before synthesis
• Store results with note-taking skill