Deep Research

**Agent tool call:**

For simple single-page extraction, a helper script is also available at
`.claude/skills/deep-research/scripts/browser-extract.sh` — reference it if needed for
basic URL content dumps. For multi-page browsing or dynamic interactions, always use the
browser-explorer agent directly.

---

## Phase 3: Collect & Cross-Validate

After all agents complete, read each findings file from RESEARCH_DIR:

### Cross-Validation Steps

1. **Deduplicate**: Identify claims found by multiple agents/sources. These are
   high-confidence. Note: if agents properly stayed in their lanes, overlap should
   be minimal — but where it exists, it's a strong signal.

2. **Cross-Channel Validation**: Compare WebSearch, Browser, and Gemini findings:
   - Claims confirmed by WebSearch AND Browser agents = very high confidence (both
     channels independently found the same thing)
   - Claims found ONLY by browser agents = unique deep extraction, note extraction context
   - Claims confirmed by BOTH Claude agents and Gemini = highest confidence (cross-model)
   - Claims where Claude and Gemini DISAGREE = flag for resolution

3. **Contradiction Check**: Where agents found conflicting information:
   - Note both versions with their sources
   - Assess which source is more credible
   - If critical, run 1-2 targeted WebSearch queries to break the tie

4. **Gap Analysis**: What's missing?
   - Are any angles poorly covered? (agent found <3 sources)
   - Are there obvious follow-up questions no agent addressed?
   - For critical gaps: run a quick supplementary search (max 3 queries)

5. **Unexpected Discovery Triage**: Review all agents' "Unexpected Discoveries" sections.
   If anything is important to the overall question, run a brief follow-up search.

6. **Build Confidence Matrix** and save:

**File: `$RESEARCH_DIR/validation.md`**

---

## Phase 4: Synthesize Report

Now write the final report. ultrathink to plan the narrative structure before writing.

**File: `$RESEARCH_DIR/report-[topic-slug]-[YYYY-MM-DD].md`**

```markdown
# [Research Topic]

> [Date] | [N] sources consulted | [N] WebSearch agents + [N] Browser agents + Gemini |
> [N] search queries | Confidence: [HIGH/MED/LOW] overall

## Executive Summary

[3-5 sentences. Lead with the single most important finding. Include
one surprising insight. End with the practical implication.]

## Table of Contents

[Auto-generate based on sections below]

## Detailed Findings

### [Section 1: Most Important Topic]

[Synthesize across all channels. Don't just list — analyze. Every factual
claim must have an inline citation as [Source Name](URL). Explicitly
note confidence level for non-obvious claims.]

### [Section 2]
...

### [Section N]
...

## Analysis & Implications

[What patterns emerge across all findings? What do they mean for
someone making decisions about this topic? Be specific and actionable.]

## Contrarian Views & Counterarguments

[What credible sources disagree with the mainstream view? Present
the strongest counterarguments fairly.]

## Gaps & Limitations

[What couldn't be determined? Why? What would be needed to fill
these gaps? Be honest — this builds trust.]

## Confidence Assessment

| Finding | Confidence | Sources | Cross-Model | Cross-Channel | Basis |
|---------|-----------|---------|-------------|---------------|-------|
| ...     | HIGH      | 4       | Confirmed   | Confirmed     | Official docs + Gemini + Browser |
| ...     | MEDIUM    | 2       | Unconfirmed | N/A           | Two blogs, Gemini silent |
| ...     | LOW       | 1       | Contradicted| N/A           | Single post, Gemini disagrees |

## Sources

### Tier 1: Official & Primary Sources
1. [Title](URL) -- [one-line contribution to this report]

### Tier 2: Established Media & Technical Analysis
2. [Title](URL) -- [one-line contribution]

### Tier 3: Community & Other
3. [Title](URL) -- [one-line contribution]

---
*Generated by deep-research skill | [N] WebSearch agents + [N] Browser agents + Gemini | [date]*

## [Research Topic]

> [Date] | [N] sources | [N] WebSearch agents + [N] Browser agents + Gemini |
> Confidence: [HIGH/MED/LOW]

### Executive Summary
[3-5 sentences]

### Key Findings

**1. [Most important finding]**
[2-3 lines with inline citations]

**2. [Second finding]**
[2-3 lines with inline citations]

**3. [Third finding]**
[2-3 lines with inline citations]

[... continue for all major findings]

### Confidence Assessment
| Finding | Confidence | Cross-Model | Cross-Channel | Basis |
|---------|-----------|-------------|---------------|-------|
| ...     | HIGH      | Confirmed   | Confirmed     | ...   |

### Gaps & Follow-up
- [Gap 1]
- [Gap 2]
- Suggested follow-up: [direction]

---
Full report + raw data:
  $RESEARCH_DIR/report-[topic]-[date].md      <- Full report
  $RESEARCH_DIR/agent-*-findings.md           <- WebSearch agent raw data
  $RESEARCH_DIR/browser-*-findings.md         <- Browser-extracted raw data
  $RESEARCH_DIR/gemini-deep-research.md       <- Gemini independent research
  $RESEARCH_DIR/validation.md                 <- Cross-validation results

/deep-research AI agent frameworks comparison 2025
-> Medium tier, 3 WebSearch agents + 1 Browser agent + Gemini:
   WebSearch: frameworks landscape, technical comparison, community adoption
   Browser: GitHub discussions/issues on major frameworks (dynamic content)

/deep-research What is the current state of MCP adoption?
-> Medium tier, 3 WebSearch agents + 1 Browser agent + Gemini:
   WebSearch: protocol spec & ecosystem, adoption metrics, developer tooling
   Browser: Reddit /r/LocalLLaMA threads on MCP (JS-rendered comments)

/deep-research Is Rust replacing C++ in systems programming?
-> Medium tier, 3 WebSearch agents + 1 Browser agent + Gemini:
   WebSearch: technical comparison, industry adoption data, official statements
   Browser: HN/Reddit discussions on Rust adoption (community sentiment threads)