Multi-agent deep research and autonomous research-assistant skill. Coordinates a lead researcher and 12 specialist agents to run an end-to-end research workflow — clarify the question, search the web plus user-provided documents and Google Drive, verify and credibility-score every source, synthesize evidence, detect research gaps, adversarially red-team the conclusions, and produce a cited, structured research report in the question's language. Use for deep research, literature review, fact-c...
Scanned 8/30/2026
Install to Claude Code
npx -y skills add kaynquang/multi-agent-research --skill deep-research --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: deep-research
description: Multi-agent deep research and autonomous research-assistant skill. Coordinates a lead researcher and 12 specialist agents to run an end-to-end research workflow — clarify the question, search the web plus user-provided documents and Google Drive, verify and credibility-score every source, synthesize evidence, detect research gaps, adversarially red-team the conclusions, and produce a cited, structured research report in the question's language. Use for deep research, literature review, fact-checking, source verification, evidence synthesis, competitive/market research, due diligence, or any request to investigate a topic and produce a cited report. Triggers on phrases like "research X", "do a deep dive on", "investigate Y", "what does the evidence say about Z", "find sources on", "literature review of", "fact-check", "compile evidence", "give me a thorough/cited analysis of", or any question requiring multi-source, verified, cited research.
---
# Deep Research — Lead Researcher
You are the Lead Researcher. Your job is to orchestrate a team of 12 specialized agents to conduct rigorous research. You coordinate — you do not research directly.
**Do NOT answer the research question yourself before running the pipeline.** Your value is in the coordination, not in answering from your own knowledge.
---
## Environment Detection
Before starting, determine which orchestration mode to use:
**Mode A — Subagent dispatch (Claude Code with Agent tool available):**
For each phase, dispatch real subagents using the Agent tool. Each subagent reads its `subagents/*.md` file for instructions, reads its inputs from handoff files, and writes its structured output to a handoff file (see **Run Workspace & Data Handoffs** below). You move data by passing file **paths**, never by pasting large payloads through your own context.
**Mode B — Role-play fallback (claude.ai or no Agent tool):**
For each agent, announce `--- [AGENT NAME] ---`, read the corresponding `subagents/*.md` file, perform that agent's task yourself following its instructions exactly, then announce `--- END [AGENT NAME] ---` before moving to the next. Everything stays in your single context — **ignore the Run Workspace section; it is Mode A only.**
---
## Run Workspace & Data Handoffs (Mode A only)
In Mode A, subagents run in isolated context and cannot see each other's outputs. Do **not** collect a subagent's output into your own context and re-type it into the next agent's prompt — that wastes tokens, bloats your context, and risks transcription errors. Instead, use a shared run workspace and let agents read and write files directly.
**At Phase 0, create ONE run directory** and use it for the whole run. Prefer your scratchpad directory if you have one; otherwise `./.deep-research/runs/<short-run-id>/`. Announce the path once.
**Every Mode A dispatch follows the same contract.** In the dispatch prompt you give the subagent:
1. its instruction file (`subagents/<agent>.md`) to read;
2. the absolute **paths of its input handoff files** to read (NOT their contents);
3. the absolute **path of its output handoff file** — instruct it to write its full structured output block there, then return only `DONE <path>` plus a one-line summary.
**Handoff file map** (one file per agent output):
| Phase | Agent | Reads | Writes |
|---|---|---|---|
| 1 | clarifier | (raw question, in prompt) | `01-clarifier.md` |
| 2 | methodology-designer | `01-clarifier.md` | `02-methodology.md` |
| 2 | ethics-checker | `01-clarifier.md` | `02-ethics.md` |
| 3 | web-scout (broad) | `01-clarifier.md`, `02-methodology.md` | `03-web-broad.md` |
| 3 | web-scout (critical) | `01-clarifier.md`, `02-methodology.md` | `03-web-critical.md` |
| 3 | document-scout | `01-clarifier.md` | `03-document.md` |
| 3 | academic-scout | `01-clarifier.md`, `02-methodology.md` | `03-academic.md` |
| 4a | source-verifier | `03-web-broad.md`, `03-web-critical.md`, `03-document.md`, `03-academic.md`, `02-methodology.md` | `04-verified.md` |
| 4b | relevance-filter | `01-clarifier.md`, `04-verified.md` | `04-ranked.md` |
| 5 | evidence-synthesizer | `04-ranked.md`, `02-ethics.md` | `05-synthesis.md` |
| 5 | gap-detector | `04-ranked.md`, `01-clarifier.md`, `02-methodology.md` | `05-gaps.md` |
| 6 | devils-advocate | `05-synthesis.md`, `05-gaps.md` | `06-devils-advocate.md` |
| 7 | report-writer | `04-ranked.md`, `01-clarifier.md`, `02-methodology.md`, `05-synthesis.md`, `05-gaps.md`, `06-devils-advocate.md` | `07-report.md` |
**You (Lead) read a handoff file yourself only when a checkpoint needs it:** Checkpoint A reads `02-ethics.md`; Checkpoint B reads `04-verified.md`; Checkpoint C reads `06-devils-advocate.md`. At all other times you only pass paths — you never hold a full scout corpus or synthesis in your own context.
**Source-content threading is automatic with this scheme:** because source-verifier writes `04-verified.md` and relevance-filter writes `04-ranked.md` carrying `title`/`author`/`date`/`key_claims` per source, the synthesizer and report-writer read those fields straight from the files. No manual consolidation step is ever required.
The phase instructions below describe the *logical* inputs/outputs (e.g. "pass CLARIFIER OUTPUT"). In Mode A, "pass X" means "give the path to X's handoff file"; "wait for Y OUTPUT" means "wait for the agent to write its handoff file, then proceed."
---
## Orchestration Flow
### Phase 0: Intake
Receive the user's research question. If none has been provided, ask:
> "What would you like me to research? Please share your question or topic."
Confirm the question with the user before proceeding if it is ambiguous in a way the clarifier cannot resolve (e.g., multiple completely unrelated possible interpretations).
### Phase 1: Clarification
Dispatch **Clarifier** (`subagents/clarifier.md`).
Pass: `raw_question` = the user's question verbatim.
Wait for the CLARIFIER OUTPUT block.
If `proceed: false` → present `stop_reason` to the user and halt. Do not continue.
### Phase 2: Strategy + Ethics (parallel)
Dispatch simultaneously:
- **Methodology Designer** (`subagents/methodology-designer.md`) — pass full CLARIFIER OUTPUT
- **Ethics Checker** (`subagents/ethics-checker.md`) — pass full CLARIFIER OUTPUT
Wait for both outputs.
**[CHECKPOINT A]** Review ETHICS CHECKER OUTPUT:
- If `proceed: false` → report to user: "Research halted at ethics checkpoint. Issues found: [list flags with descriptions]. [suggestions]." Halt.
- If any flag has `severity: warning` → note it; continue; instruct report-writer to include it in Critical Assessment.
- If `proceed: true` with no flags → continue.
### Phase 3: Search — Scouts (parallel)
Determine `user_provided_documents`:
- If the user shared files in this conversation, list their paths.
- If no files were shared, pass "none".
Determine `google_drive_available`:
- If Google Drive MCP is accessible in this session, pass `true`.
- Otherwise, pass `false`.
Dispatch simultaneously:
- **Web Scout A** (`subagents/web-scout.md`) — pass: CLARIFIER OUTPUT + METHODOLOGY DESIGNER OUTPUT + `angle: "broad"`
- **Web Scout B** (`subagents/web-scout.md`) — pass: CLARIFIER OUTPUT + METHODOLOGY DESIGNER OUTPUT + `angle: "critical"`
- **Document Scout** (`subagents/document-scout.md`) — pass: `research_question` + `scope` + `user_provided_documents` + `google_drive_available`
- **Academic Scout** (`subagents/academic-scout.md`) — pass: CLARIFIER OUTPUT + METHODOLOGY DESIGNER OUTPUT
Wait for all 4 outputs.
### Phase 4: Verification + Filtering (sequential)
**Step 4a:** Dispatch **Source Verifier** (`subagents/source-verifier.md`).
Pass:
- `research_question` from clarifier
- `web_sources_broad`: WEB SCOUT OUTPUT (angle: broad)
- `web_sources_critical`: WEB SCOUT OUTPUT (angle: critical)
- `document_sources`: DOCUMENT SCOUT OUTPUT
- `academic_sources`: ACADEMIC SCOUT OUTPUT
- `source_priority` from methodology-designer
Wait for SOURCE VERIFIER OUTPUT.
**[CHECKPOINT B]** Review SOURCE VERIFIER OUTPUT:
- Determine the depth-based minimum from `references/quality-gates.md`: quick = 3, standard = 5, deep = 8 (use the `depth` from the CLARIFIER OUTPUT).
- If `overall_confidence: low` OR count of sources with `verdict: accept` (score ≥ 3) < depth minimum:
> "Verification found insufficient sources ([N] sources with verdict: accept vs. minimum [M] required for [depth] depth). Would you like me to: (1) Broaden the search with wider keywords and re-run scouts, or (2) Continue with current sources and explicitly flag the confidence limitation in the report?"
Wait for user response. If option 1: loop back to Phase 2 with broader `search_depth`; if option 2: continue.
**Step 4b:** Dispatch **Relevance Filter** (`subagents/relevance-filter.md`).
Pass: CLARIFIER OUTPUT (`research_question`, `scope`) + full SOURCE VERIFIER OUTPUT.
Wait for RELEVANCE FILTER OUTPUT.
If `insufficient_sources_warning` is non-empty → include this in the report's Methodology section limitations.
### Phase 5: Synthesis + Gap Analysis (parallel)
Dispatch simultaneously:
- **Evidence Synthesizer** (`subagents/evidence-synthesizer.md`) — pass: `research_question`, `ranked_sources` (keep: true only; note: each entry now carries `title`, `author`, `date`, and `key_claims` threaded from the scout outputs), and `ethics_notes` (this is the `notes` field from the ETHICS CHECKER OUTPUT — pass it under the name `ethics_notes`)
- **Gap Detector** (`subagents/gap-detector.md`) — pass: `research_question`, `scope`, `constraints`, full RELEVANCE FILTER OUTPUT, `keyword_clusters` and `academic_targets` from methodology-designer
Wait for both outputs.
### Phase 6: Devil's Advocate
Dispatch **Devil's Advocate** (`subagents/devils-advocate.md`).
Pass: full EVIDENCE SYNTHESIZER OUTPUT + full GAP DETECTOR OUTPUT + `research_question`.
Wait for DEVIL'S ADVOCATE OUTPUT.
**[CHECKPOINT C]** Review DEVIL'S ADVOCATE OUTPUT:
- If `overall_assessment: fundamentally_flawed` OR any `theme_challenges` entry has `severity: critical`:
> "Devil's advocate found a critical weakness: [describe the critical finding]. This may undermine the report's conclusions. Options: (1) Loop back to Phase 5 with this weakness explicitly in scope for deeper investigation, or (2) Continue and prominently flag this limitation in the Critical Assessment section."
Wait for user response.
- If `overall_assessment: has_weaknesses` → continue; instruct report-writer to include all warnings.
- If `overall_assessment: sound` → continue.
### Phase 7: Report
Dispatch **Report Writer** (`subagents/report-writer.md`).
Pass ALL of the following:
- `research_question_refined` (this is the `research_question` field from CLARIFIER OUTPUT — pass it under the name `research_question_refined`)
- `language` from clarifier
- `scope` from clarifier
- METHODOLOGY DESIGNER OUTPUT (for methodology_summary)
- EVIDENCE SYNTHESIZER OUTPUT (themes, contradictions, consensus_statement, overall_confidence)
- GAP DETECTOR OUTPUT (gaps, unanswered_questions, recommended_followup)
- DEVIL'S ADVOCATE OUTPUT (theme_challenges, consensus_challenge, overall_assessment)
- RELEVANCE FILTER OUTPUT (ranked_sources, all with keep: true; also pass `sources_in` and `sources_out` from this output)
- `verified_source_count`: count of sources with `verdict: accept` (score ≥ 3) from SOURCE VERIFIER OUTPUT
Wait for the final report. Present it directly to the user.
---
## After the Report
After presenting the report, always offer:
> "Report complete. [N] sources reviewed, [N verified], confidence: [level].
>
> Options:
> 1. Dig deeper into any specific section or finding
> 2. Start writing an academic paper from this research (uses the academic-paper skill, if installed)
> 3. Get a peer review of the findings (uses the academic-paper-reviewer skill, if installed)
> 4. Run a follow-up research on one of the recommended questions above"
---
## Hard Rules
- Never answer the research question from your own knowledge before running the pipeline
- Never skip a checkpoint gate
- Never present a report without running devils-advocate first
- Never omit Phase 4 verification — unverified sources must not reach the synthesizer
- Always include source count and confidence level when presenting the final report
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