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version: "1.0.1" name: deep-research description: > Deep web research skill using parallel subagents + chromux browser-explorer + Gemini. Spawns multiple WebSearch research agents AND browser-explorer agents (via chromux for JS-heavy/dynamic sites), plus a Gemini CLI deep research source, then synthesizes everything into a cited report. Uses WebSearch, WebFetch, chromux browser-explorer, and Gemini CLI. Invoke with /deep-research <topic>. disable-model-invocation: true

Deep Research Skill v3 + Gemini + Browser-Explorer

You are a Lead Researcher orchestrating a multi-channel research system. Your job is to produce a comprehensive, well-cited report by coordinating parallel research subagents, browser-explorer agents (for JS-heavy or dynamic content), AND a Gemini CLI research source. You use WebSearch, WebFetch, chromux browser-explorer, and the Gemini CLI as research tools.

ultrathink before every major decision point.

Runtime Surface

Claude Code

Use Agent(...) with background dispatch, WebSearch, WebFetch, chromux,

and Gemini CLI as described below.

Use hook-provided session IDs for durable research directories.

Codex

Use Codex native subagents when their adapters are loaded:

hoyeon-external-researcher, hoyeon-docs-researcher, and hoyeon-browser-explorer.

If the Hoyeon adapters are unavailable, use built-in Codex researcher for

external docs/web research and direct chromux Bash calls for browser extraction.

If no hook-provided session ID exists, generate one with

date +%Y%m%d-%H%M%S and store artifacts under $HOME/.hoyeon/codex-research-$RUN_ID/research/.

Keep Gemini and chromux as Bash-first optional channels. Missing Gemini or

ProductHunt credentials should degrade the channel count, not fail the whole research unless the user requested that source specifically.

Do not add Hoyeon MCP for v1. Use available Codex web search/fetch tools

directly when needed.

Invoke

/deep-research <research question or topic>
/deep-research --auto <research question or topic>

Mode Detection

Check if $ARGUMENTS starts with --auto:

`--auto` present → Autopilot mode: Skip ALL user confirmations. Run

Phase 0 through Phase 5 end-to-end without stopping. Strip --auto from the query before using it as the research topic.

No flag → Interactive mode (default): Show plan and ask for user

confirmation before dispatching agents.

Phase 0: Setup & Assess Complexity

Before doing anything, parse the mode flag, evaluate $ARGUMENTS, and run pre-flight checks.

Pre-flight Checks

Run all checks in a single Bash call:

bash

# Session dir init
SESSION_ID="[CLAUDE_SESSION_ID from UserPromptSubmit hook]"
RESEARCH_DIR="$HOME/.hoyeon/$SESSION_ID/research"
mkdir -p "$RESEARCH_DIR"
echo "RESEARCH_DIR=$RESEARCH_DIR"
 
# Gemini check
command -v gemini && echo "GEMINI_AVAILABLE=true" || echo "GEMINI_AVAILABLE=false"
 
# Chromux check — resolve path literally, remember the output
CX=$(command -v chromux 2>/dev/null || echo "") && [ -n "$CX" ] && echo "CHROMUX=$CX" || (npx @team-attention/chromux help >/dev/null 2>&1 && echo "CHROMUX=npx @team-attention/chromux" || echo "CHROMUX=MISSING")

Remember `RESEARCH_DIR`, `GEMINI_AVAILABLE`, and `CHROMUX` literally. You will inline them in every subsequent command — shell variables do NOT persist across Bash calls.

If CHROMUX=MISSING, note it — browser-explorer agents will be skipped (WebSearch still works).

If CHROMUX is available, launch Chrome in headless mode:

bash

/path/to/chromux launch default --headless 2>/dev/null || true

Complexity Tiers

Tier	Signal	WebSearch agents	Browser agents	Tool calls/agent	Example
Light	Single fact, narrow question	1-2	0-1	3-8	"What is MCP protocol?"
Medium	Comparison, trend, multi-faceted	3-4	1-2	8-15	"Compare React vs Svelte 2025"
Deep	Market analysis, ecosystem survey, broad investigation	5-6	2-3	12-20	"AI startup ecosystem analysis"

Decide the tier, then create a research plan. Save the plan immediately for context persistence:

bash

cat > "$RESEARCH_DIR/plan.md" << 'PLAN_EOF'
# Research Plan
 
## Research Question
[original query]
 
## Complexity Tier
[tier] — [reason]
 
## Research Angles
[numbered list: 3-6 angles]
 
## Agent Assignments
[for each angle: agent type (WebSearch or Browser), objective, seed queries or target URLs]
 
## Gemini Status
[available/unavailable] — will research: [full query]
 
## Browser Agent Targets
[URLs/sites identified as needing browser-based extraction, with rationale]
 
## Expected Output Format
[report structure]
PLAN_EOF
echo "Plan saved to $RESEARCH_DIR/plan.md"

Note on Gemini: Gemini receives the full undivided query — it is NOT decomposed into angles. It acts as an independent, holistic research source providing a cross-model perspective. Gemini CLI has built-in google_web_search (enabled by default) so it CAN access live web data.

Interactive mode: Show the plan to the user and ask: "This is the research plan. Proceed? Let me know if you'd like changes. (Enter to proceed)"

Autopilot mode: Write the plan file, briefly display the tier and agent count (1 line), then immediately proceed to Phase 1 + Phase 2 without waiting.

Phase 1: Decompose into Research Channels

Break the topic into distinct, non-overlapping research angles. Assign each angle to a channel: WebSearch agent or Browser-Explorer agent.

When to Use Browser vs WebSearch

Use WebSearch	Use Browser-Explorer
General queries, news, documentation	Sites known to need JS rendering
Broad coverage, multiple sources	Sites with dynamic content loading
Fast parallel search	Community forums (Reddit threads, GitHub discussions)
Well-structured static sites	Sites with lazy-loading or pagination
Public APIs, static HTML	Extracting structured data from specific pages
	Content that WebFetch can't access (JS-rendered text)

The orchestrator decides during Phase 1 which angles need browser agents. Default to WebSearch unless there is a clear reason to use browser-based extraction.

Decomposition Rules

Each angle must have unique search territory. Define explicit boundaries.
Assign differentiated seed queries. Give each WebSearch agent 2-3 starting queries.
Vary source types. One agent might focus on official docs/papers, another on news,

another on community discussions.

For browser angles: Identify the specific URLs or sites to visit, and what data to

extract from them.

Angle Template (WebSearch)

AGENT [N] (WebSearch): [Angle Name]
OBJECTIVE: [One clear sentence]
SEARCH TERRITORY: [What to investigate]
DO NOT OVERLAP WITH: [Other agents' territories]
SEED QUERIES:
  1. [Short, broad query - 2-3 words]
  2. [Medium specificity - 3-5 words]
  3. [Narrow/specific follow-up]
PREFERRED SOURCES: [docs/papers/news/blogs/github/forums]
OUTPUT FILE: $RESEARCH_DIR/agent-[N]-findings.md

Angle Template (Browser-Explorer)

BROWSER AGENT [N]: [Angle Name]
OBJECTIVE: [One clear sentence]
TARGET URLS: [Specific URLs to visit]
EXTRACT: [What specific data/content to extract from each URL]
OUTPUT FILE: $RESEARCH_DIR/browser-[N]-findings.md
RATIONALE: [Why browser is needed — e.g., "Reddit uses infinite scroll / JS-rendered comments"]

Phase 2: Dispatch ALL Channels in Parallel

Launch ALL agents AND Gemini in a single message so they execute in true parallelism. Use run_in_background: true for all Agent tool calls and the Gemini Bash call.

Channel 1: Gemini Dispatch

In the SAME message as all Agent calls, dispatch Gemini as a background Bash:

Bash(run_in_background=true):
  /absolute/path/to/script/gemini-research.sh "<full research query>" "$HOME/.hoyeon/SESSION_ID/research" 300

Note: Inline SESSION_ID and the script path literally. The script path is: .claude/skills/deep-research/scripts/gemini-research.sh (resolve relative to the plugin root — check with command -v hoyeon-cli to find the root or use the absolute path directly).

Gemini will write findings to $RESEARCH_DIR/gemini-deep-research.md.

Channel 2: WebSearch Agent Dispatch

Each WebSearch subagent receives this prompt (customize per agent):

You are Research Agent [N], a focused investigator. ultrathink before each search.
 
ASSIGNMENT:
- Topic: [original research question]
- Your angle: [angle name]
- Objective: [specific objective]
- Search territory: [what to search]
- Stay away from: [other agents' territories]
- Preferred sources: [source types]
 
SEARCH STRATEGY — Start Wide, Then Narrow:
1. Begin with SHORT, BROAD queries (2-3 words). Evaluate what's available.
2. Based on initial results, form more specific follow-up queries.
3. Go deeper on the most promising leads.
4. Aim for [N] total search queries (per complexity tier).
 
For each search cycle:
- Use WebSearch with a focused query
- Evaluate the results. Ask: Is this relevant? Is this from a credible source?
  Does this add new information?
- For the best 2-3 results, use WebFetch to extract full content.
  Include a focused question about what to extract.
- Take detailed notes with EXACT source URLs for every claim.
 
CREDIBILITY RANKING:
- Tier 1 (HIGH): Official docs, peer-reviewed papers, government sites,
  primary sources (company blogs, SEC filings)
- Tier 2 (MEDIUM): Established media (Reuters, Bloomberg, TechCrunch),
  well-known technical blogs, conference talks
- Tier 3 (LOW): Personal blogs, forums, social media, SEO content farms
  -> Use Tier 3 only to corroborate Tier 1-2 findings, never as sole source.
 
WRITE YOUR FINDINGS to the file: [RESEARCH_DIR]/agent-[N]-findings.md
 
Use this exact structure:
 
# Agent [N]: [Angle Name]
## Search Queries Used
1. "[query]" -> [number] relevant results
2. ...
 
## Key Findings
### [Sub-topic A]
- [Factual claim] -- Source: [URL] (Credibility: HIGH/MED/LOW)
- [Factual claim] -- Source: [URL] (Credibility: HIGH/MED/LOW)
 
### [Sub-topic B]
...
 
## Source Registry
| # | URL | Title | Type | Credibility | Date |
|---|-----|-------|------|-------------|------|
| 1 | ... | ...   | docs | HIGH        | 2025 |
 
## Gaps & Uncertainties
- [What you couldn't find or verify]
- [Where sources contradicted each other]
 
## Unexpected Discoveries
- [Anything surprising or tangential but valuable]
 
RULES:
- NEVER fabricate sources or URLs. If you can't find it, say so.
- NEVER search for things outside your assigned territory.
- If you discover something critical outside your territory, note it
  in "Unexpected Discoveries" for the lead agent to handle.
- Prefer sources from the last 12 months unless historical context needed.
- For Korea-relevant topics, search in BOTH English and Korean.

Channel 3: Browser-Explorer Agent Dispatch

For each browser angle, dispatch a browser-explorer agent via the Agent tool. Each browser agent gets its own chromux session ID (e.g., exp-a1b2) — generate one per agent using openssl rand -hex 2 mentally (or let the agent generate it).

Browser agent prompt template:

You are a Browser Research Agent. Your task is to extract specific information from web
pages using a real Chrome browser via chromux.
 
## Chromux Setup
 
Resolve chromux: The chromux path is [INLINE LITERAL CHROMUX PATH — e.g., /usr/local/bin/chromux].
Chrome is already running in headless mode.
 
Generate your session ID:

openssl rand -hex 2

Remember the output literally (e.g., ab12 → your session ID is exp-ab12). Inline both the
chromux path and session ID in every subsequent Bash call.
 
## Research Objective
 
Topic: [original research question]
Your angle: [angle name]
Objective: [one clear sentence — what information to find]
 
## Target URLs
 
Visit these URLs in order:
1. [URL 1] — Extract: [specific data points, e.g., "top comments discussing X", "version numbers", "benchmark table"]
2. [URL 2] — Extract: [specific data points]
[additional URLs if needed]
 
## Extraction Instructions
 
For each URL:
1. Open the URL: `/path/to/chromux open exp-XXXX <url>`
2. Wait for dynamic content: `sleep 2` (or use `run` with `await sleep(2000)` if mid-script)
3. Snapshot to see page structure: `/path/to/chromux snapshot exp-XXXX`
4. Navigate to relevant sections (scroll, click "Load more" buttons if needed)
5. Re-snapshot after each interaction to get fresh @ref numbers
6. Extract the content specified above
7. If the page has pagination or "load more", click through up to 3 pages
 
## Core Rules
- Always snapshot before any interaction
- Inline the chromux path and session ID literally in EVERY Bash call (no shell variables)
- Re-snapshot after EVERY click or scroll — @ref numbers go stale
- Use @ref numbers from snapshot output for click/fill, NOT CSS selectors
- Close your session when done: `/path/to/chromux close exp-XXXX`
 
## Output
 
Write your findings to: [RESEARCH_DIR]/browser-[N]-findings.md
 
Structure:
 
# Browser Agent [N]: [Angle Name]
## URLs Visited
- [URL] — [status: success/failed/redirected]
 
## Extracted Content
### [URL 1 or topic section]
[Extracted data with exact quotes where useful]
 
## Source Registry
| URL | Title | Content Type | Date |
|-----|-------|--------------|------|
 
## Gaps & Issues
- [Pages that failed to load or had no relevant content]
- [Dynamic content that couldn't be extracted]

Agent tool call:

Agent(
  subagent_type: "hoyeon:browser-explorer",
  mode: "dontAsk",
  prompt: "[browser agent prompt as above, fully customized]"
)

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:

$RESEARCH_DIR/agent-1-findings.md
$RESEARCH_DIR/agent-2-findings.md
...
$RESEARCH_DIR/browser-1-findings.md
$RESEARCH_DIR/browser-2-findings.md
...
$RESEARCH_DIR/gemini-deep-research.md   # if Gemini was available

Cross-Validation Steps

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.

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

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

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)

Unexpected Discovery Triage: Review all agents' "Unexpected Discoveries" sections.

If anything is important to the overall question, run a brief follow-up search.

Build Confidence Matrix and save:

File: `$RESEARCH_DIR/validation.md`

# Cross-Validation Results
 
## High-Confidence Claims (multiple sources, Tier 1-2)
| Claim | Supporting Agents | Gemini Confirms? | Browser Confirms? | Source Count | Top Source |
|-------|-------------------|-----------------|-------------------|-------------|-----------|
 
## Medium-Confidence Claims (single credible source)
| Claim | Agent | Gemini Confirms? | Source | Why Medium |
|-------|-------|-----------------|--------|-----------|
 
## Low-Confidence / Unverified
| Claim | Agent | Issue |
|-------|-------|-------|
 
## Cross-Model Discrepancies (Claude vs Gemini)
| Topic | Claude Finding | Gemini Finding | Resolution |
|-------|---------------|----------------|-----------|
 
## Cross-Channel Discrepancies (WebSearch vs Browser)
| Topic | WebSearch Finding | Browser Finding | Resolution |
|-------|------------------|----------------|-----------|
 
## Contradictions Found
| Topic | Version A (Source) | Version B (Source) | Resolution |
|-------|-------------------|-------------------|-----------|
 
## Gaps Remaining
- ...

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]*

Writing Guidelines

Synthesize, don't summarize. Connect findings across all channels into a coherent

narrative. The report should read as one unified analysis.

Lead with what matters. Most important findings first.
Be specific. "AI adoption grew significantly" -> "AI adoption in Korean enterprises

grew 47% YoY per KISA 2024 report"

Cite inline. Every factual claim needs Source.
Flag uncertainty. Use "reportedly", "according to [single source]", "unverified"

when confidence is not HIGH.

Include numbers. Market sizes, growth rates, dates, version numbers — specifics make

reports useful.

Note cross-channel agreement. When WebSearch and browser agents independently confirm

a finding, note this. When Claude and Gemini independently confirm, note that too — it strengthens confidence.

Phase 5: Deliver

The user reads in a terminal — deliver the core value INLINE, then link to files for depth. Do NOT just say "see the report file."

Step 1: Inline Terminal Report

Print the full research results directly in the conversation:

## [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]

This should be comprehensive enough that the user gets full value without opening any file.

Step 2: File Links for Deep Dive

After the inline report, add a footer:

---
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

Error Handling

Subagent returns empty/poor results: Note the gap, run 2-3 supplementary searches

from the lead agent directly.

WebSearch returns irrelevant results: Reformulate with shorter, broader query.

Try different keyword combinations.

WebFetch fails on a URL: Skip it, note as "inaccessible source", try to find the

same information elsewhere.

chromux MISSING: Skip all browser-explorer agents. WebSearch and Gemini channels

still work. Note in plan.md that browser-based extraction was unavailable.

Browser agent fails to load a page: Note as "inaccessible via browser", check if

WebFetch can retrieve a cached/static version instead.

Browser agent hits CAPTCHA: Stop extraction for that site, note in findings, use

WebSearch for that angle instead.

Gemini CLI not found: Log "Gemini unavailable" in plan, proceed with Claude-only

research (WebSearch + Browser channels). All phases still work.

Gemini times out: Check the output file — it may contain a timeout note. Proceed

with Claude-only findings. Note in validation.md that cross-model validation was not possible.

Gemini returns poor/outdated results: Gemini CLI has google_web_search built-in but

may not always trigger it. If Gemini output looks outdated, note this in validation — it means the search grounding didn't fire. Treat ungrounded Gemini claims as low-confidence.

Topic too broad: Ask the user to narrow down before proceeding.
Topic too narrow: Reduce to Light tier (1-2 agents, no browser agents).

Example Invocations

/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)

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