
Deep Research
FreeGenerate comprehensive, evidence-backed research reports.
Free · Opens the source repo
What Deep Research does
Deep Research is a skill designed to facilitate the creation of high-fidelity research reports that adhere to strict formatting and governance standards. This skill is particularly useful for developers and designers who need to conduct thorough literature reviews, market analyses, or competitive assessments. By employing a structured workflow, Deep Research enables users to track evidence, manage citations, and synthesize information from multiple sources effectively.
The architecture of Deep Research consists of a Lead Agent that coordinates the research process and multiple subagents that handle specific tasks. This setup minimizes raw search context by allowing subagents to focus on their assigned tasks while the Lead Agent compiles the distilled notes. The skill supports both enterprise and general research modes, allowing users to select the depth and scope of their analysis according to their needs. Users can choose between standard and lightweight modes, depending on the complexity of the research topic.
One of the key features of Deep Research is its source governance policy, which classifies sources based on accessibility and type. This ensures that all information used in the reports is credible and appropriately cited. The skill also includes mechanisms for counter-review and evidence mapping, which enhance the reliability of the findings. By implementing strict quality gates, Deep Research guarantees that reports are not only informative but also uphold high standards of accuracy and credibility.
Overall, Deep Research is ideal for professionals who require detailed and structured research outputs. Whether you're preparing a technical brief or conducting an industry analysis, this skill streamlines the research process while ensuring comprehensive and well-supported conclusions.
When to use it
Use this skill when you need to create detailed research reports, literature reviews, or market analyses with strict adherence to quality and formatting standards.
When not to use it
This skill may not be suitable for quick, informal research tasks or when a simple summary is sufficient, as it is designed for comprehensive and structured outputs.
What you can build with it
Market Analysis for a New Product
Utilize Deep Research to conduct a comprehensive market analysis, including competitive landscape and consumer trends.
Academic Literature Review
Generate a structured literature review that synthesizes findings from various academic sources with proper citations.
Policy Brief Preparation
Create a detailed policy brief that includes evidence-backed recommendations and thorough analysis of relevant sources.
How to install Deep Research
View source1. Install with the skills CLI
npx skills add daymade/claude-code-skills/deep-research --agent claude-code2. Or install it manually
Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.
Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs
Inside SKILL.md
Written by daymadeDeep Research
Create high-fidelity research reports with strict format control, evidence mapping, source governance, and multi-pass synthesis.
Architecture: Lead Agent + Subagents
Lead Agent (coordinator — minimizes raw search context)
|
P0: Environment + source policy setup
|
P1: Research Task Board (roles, queries, parallel groups)
|
Dispatch ──→ Subagent A ──→ writes task-a.md ──┐
──→ Subagent B ──→ writes task-b.md ──┤ (parallel)
──→ Subagent C ──→ writes task-c.md ──┘
| |
| research-notes/ <────────────────────────┘
|
P2: Build citation registry with source_type + as_of + authority
P3: Evidence-mapped outline with counter-claim flags
P4: Draft from notes (never from raw search results)
P5: Counter-review (claims, confidence, alternatives)
P6: Verify (every [n] in registry, traceability check)
P7: Polish → final report with confidence markers
Context efficiency: Subagents' raw search results stay in their context and are discarded. Lead agent sees only distilled notes (~60-70% context reduction).
Mode Selection
Determine the research mode before starting:
| Dimension | Options |
|---|---|
| Topic Mode | Enterprise Research (company/corporation) OR General Research (industry/policy/tech) |
| Depth Mode | Standard (5-6 tasks, 3000-8000 words) OR Lightweight (3-4 tasks, 2000-4000 words) |
- Enterprise Research Mode: Six-dimension data collection with structured analysis frameworks (SWOT, risk matrix, competitive barrier quantification)
- General Research Mode: Standard P0-P7 research pipeline with source governance
- Depth Selection: Lightweight for single entity/concept < 30 words; Standard for multi-entity comparison or "深入"/"comprehensive" requests
Source Governance (V6)
Source Accessibility Classification
CRITICAL RULE: Every source must be classified by accessibility:
| Accessibility | Definition | Examples | Usage Rule |
|---|---|---|---|
public | Available to any external researcher without authentication | Public websites, news articles, WHOIS (without privacy), academic papers | ✅ Always allowed |
semi-public | Requires registration or limited access | LinkedIn profiles, Crunchbase basic, industry reports (free tier) | ✅ Allowed with disclosure |
exclusive-user-provided | User's paid subscriptions, private APIs, proprietary databases | Crunchbase Pro, PitchBook, private data feeds, internal databases | ✅ ALLOWED for third-party research |
private-user-owned | User's own accounts when researching themselves | User's registrar for user's own company, user's bank for user's own finances | ❌ FORBIDDEN - circular verification |
⚠️ CIRCULAR VERIFICATION BAN: You must NOT:
- Use user's private data to "discover" what they already know about themselves
- Research user's own company by accessing user's private accounts
- Present user's private knowledge as "research findings"
✅ EXCLUSIVE INFORMATION ADVANTAGE: You SHOULD:
- Use user's Crunchbase Pro to research competitors
- Use user's proprietary databases for market research
- Use user's private APIs for investment analysis
- Leverage any exclusive source user provides for third-party research
Source Type Labels
Every source MUST also be tagged with:
| Label | Definition | Examples |
|---|---|---|
official | Primary source, official documentation | Company SEC filings, government reports, official blog |
academic | Peer-reviewed research | Journal articles, conference papers, dissertations |
secondary-industry | Professional analysis | Industry reports, analyst coverage, trade publications |
journalism | News reporting | Reputable media outlets, investigative journalism |
community | User-generated content | Forums, reviews, social media, Q&A sites |
other | Uncategorized or mixed | Aggregators, unverified sources |
Quality Gates:
- Standard mode: ≥30% official sources in final approved set
- Lightweight mode: ≥20% official sources
- Maximum single-source share: ≤25% (Standard), ≤30% (Lightweight)
- Minimum unique domains: 5 (Standard), 3 (Lightweight)
AS_OF Date Policy
Set AS_OF date explicitly at P0. For all time-sensitive claims:
- Include source publication date with every citation
- Downgrade confidence if source is older than relevant horizon
- Flag stale sources in registry (studies >3 years, news >6 months for fast-moving topics)
P0: Environment & Policy Setup
Check capabilities before starting:
| Check | Requirement | Impact if Missing |
|---|---|---|
| web_search available | Required | Stop - cannot proceed |
| web_fetch available | Required for DEEP tasks | SCAN-only mode |
| Subagent dispatch | Preferred | Degrade to sequential |
| Filesystem writable | Required | In-memory notes only |
Set policy variables:
AS_OF: Today's date (YYYY-MM-DD) - mandatory for timed topicsMODE: Standard (default) or LightweightSOURCE_TYPE_POLICY: Enforce official/academic/secondary/journalism/community/other labelsCOUNTER_REVIEW_PLAN: What opposing interpretation to test
Report: [P0 complete] Subagent: {yes/no}. Mode: {standard/lightweight}. AS_OF: {YYYY-MM-DD}.
When researching a specific company/enterprise, follow this specialized workflow that ensures six-dimension coverage, quantified analysis frameworks, and three-level quality control.
Enterprise Workflow Overview
Enterprise Research Progress:
- [ ] E1: Intake — confirm company entity, research depth, format contract
- [ ] E2: Six-dimension data collection (parallel where possible)
- [ ] D1: Company fundamentals (entity, founding, funding, ownership)
- [ ] D2: Business & products (segments, products, revenue structure)
- [ ] D3: Competitive position (industry rank, competitors, barriers)
- [ ] D4: Financial & operations (3-year financials, efficiency metrics)
- [ ] D5: Recent developments (6-month events, strategic signals)
- [ ] D6: Internal/proprietary sources (or note limitation)
- [ ] E3: Structured analysis frameworks
- [ ] SWOT analysis (evidence-backed, 4 quadrants × 3-5 entries)
- [ ] Competitive barrier quantification (7 dimensions, weighted score)
- [ ] Risk matrix (8 categories, probability × impact)
- [ ] Comprehensive scorecard (6 dimensions, weighted total)
- [ ] E4: L1/L2/L3 quality checks at each stage transition
- [ ] E5: Draft report using 7-chapter enterprise template
- [ ] E6: Multi-pass drafting + UNION merge (same as general Step 6-7)
- [ ] E7: Present draft for human review and iterate
P1: Research Task Board
Decompose the research question into 4-6 investigation tasks (Standard) or 3-4 tasks (Lightweight).
Each task assignment includes:
- Expert Role: Specialist persona (e.g., "Policy Historian", "Ecosystem Mapper")
- Objective: One-sentence investigation goal
- Queries: 2-3 pre-planned search queries
- Depth: DEEP (fetch 2-3 full articles) or SCAN (snippets sufficient)
- Output: Path to research notes file
- Parallel Group: Group A (independent) or Group B (depends on Group A)
Task Decomposition Rules
- Each task covers one coherent sub-topic a specialist would own
- Group A tasks must be independent and source-diverse
- Max 3 tasks per parallel group (concurrency limit)
- Every task must flag time-sensitive claims and expected citation aging risk
Enterprise Research Integration
When in Enterprise Research Mode, task board maps to six dimensions:
- Task A: Company fundamentals (entity, founding, funding, ownership)
- Task B: Business & products (segments, products, revenue structure)
- Task C: Competitive position (industry rank, competitors, barriers)
- Task D: Financial & operations (3-year financials, efficiency metrics)
- Task E: Recent developments (6-month events, strategic signals)
- Task F: Internal/proprietary sources (or document limitation)
Report: [P1 complete] {N} tasks in {M} groups. Dispatching Group A.
Enterprise Research Mode (Specialized Pipeline)
When researching a specific company/enterprise, follow this specialized workflow that ensures six-dimension coverage, quantified analysis frameworks, and three-level quality control.
E1: Intake
Same as P0/P1 above, plus:
- Confirm the exact legal entity being researched (parent vs subsidiary)
- Select research depth: Quick scan (3-5 pages) / Standard (10-20 pages) / Deep (20-40 pages)
- Identify any specific comparison targets (benchmark companies)
P2: Dispatch + Investigate
Subagents execute tasks using references/subagent_prompt.md and output to references/research_notes_format.md.
With Subagents (Claude Code / Cowork / DeerFlow)
- Dispatch Group A tasks in parallel (max 3 concurrent)
- Each subagent searches, fetches, and tags source types
- Every source line includes
Source-TypeandAs Of - Wait for Group A completion
- Dispatch Group B (can read Group A notes)
Subagent Output Requirements
Each task-{id}.md must contain:
- Sources section: URLs from actual search results with Source-Type, As Of, Authority (1-10)
- Findings section: Max 10 one-sentence facts with source numbers
- Deep Read Notes (DEEP tasks): 2-3 sources read in full with key data/insights
- Gaps section: What was searched but NOT found, alternative interpretations
Without Subagents (Degraded Mode)
Lead agent executes tasks sequentially, acting as each specialist. Raw search results are discarded after writing notes.
Enterprise Research: Six-Dimension Collection
Follow references/enterprise_research_methodology.md for:
- Detailed collection workflow per dimension (query strategies, data fields, validation)
- Data source priority matrix (P0-P3 ranking)
- Cross-validation rules (min sources, max deviation thresholds)
Key principles:
- Evidence-driven: every conclusion must trace to a citable source
- Multi-source validation: key data requires ≥2 independent sources
- Restrained judgment: mark speculation explicitly, avoid unsubstantiated claims
- Structured presentation: complex information via tables, lists, hierarchies
Run L1 quality check after completing each dimension (see enterprise_quality_checklist.md).
Status per task: [P2 task-{id} complete] {N} sources, {M} findings.
Status all: [P2 complete] {N} tasks done, {M} total sources. Building registry.
E3: Structured Analysis Frameworks
Apply frameworks from references/enterprise_analysis_frameworks.md in order:
- SWOT analysis — each entry with evidence + source + impact assessment
- Competitive barrier quantification — 7 dimensions with weighted scoring → A+/A/B+/B/C+/C rating
- Risk matrix — 8 mandatory categories, probability × impact → Red/Yellow/Green
- Comprehensive scorecard — 6-dimension weighted total → X/10
Run L2 quality check after analysis is complete.
E4: Quality Control
Three-level checks from references/enterprise_quality_checklist.md:
- L1 (Data): Source count, attribution, cross-validation, timeliness
- L2 (Analysis): SWOT completeness, risk coverage, barrier scoring, conclusion support
- L3 (Document): Structure compliance, format consistency, readability, appendices
E5: Draft Using Enterprise Template
Use the 7-chapter enterprise report template from enterprise_quality_checklist.md:
- Company Overview
- Business & Product Structure
- Market & Competitive Position
- Financial & Operations Analysis
- Risks & Concerns
- Recent Developments
- Comprehensive Assessment & Conclusion
Plus appendices: Data Source Index, Glossary, Disclaimer.
E3-E7: Enterprise Analysis, Drafting, and Review
- E3: Structured Analysis — Apply frameworks from references/enterprise_analysis_frameworks.md
- E4: Quality Control — Run L1/L2/L3 checks per references/enterprise_quality_checklist.md
- E5: Draft — Use 7-chapter enterprise template
- E6-E7: Multi-Pass Drafting and Review — Same as P4-P7 below
P3: Citation Registry + Source Governance
Lead agent reads all task notes and builds unified registry.
Registry Process
- Read every task file's
## Sourcessection - Merge all sources, deduplicate by URL
- Assign sequential [n] numbers by first appearance
- Tag: source_type, as_of date, authority score (1-10), task id
- Apply quality gates:
- Standard: ≥12 approved sources, ≥5 unique domains, ≥30% official
- Lightweight: ≥6 approved sources, ≥3 unique domains, ≥20% official
- Max single-source share: ≤25% (Standard), ≤30% (Lightweight)
- Drop sources below threshold and list them explicitly
Registry Output Format
CITATION REGISTRY
Approved:
[1] Author/Org — Title | URL | Source-Type: official | Accessibility: public | Date: 2026-03-01 | Auth: 8 | task-a
[2] ...
Dropped:
x Source | URL | Source-Type: community | Accessibility: privileged | Auth: 3 | Reason: PRIVILEGED SOURCE - NOT ALLOWED
Stats: {approved}/{total}, {N} domains, official_share {xx}%
Privileged sources rejected: {N}
Critical rule: These [n] are FINAL. P5 may only cite from Approved list. Dropped sources never reappear.
Circular verification handling: When researching the user's own company/assets, if you discover data in user's private accounts (e.g., user's domain registrar showing they own domains), you MUST:
- Reject it from the registry (user already knows this)
- Note it as "CIRCULAR - USER ALREADY KNOWS" in Dropped
- Search for equivalent PUBLIC sources (e.g., public WHOIS, news articles)
- Report from external investigator perspective only
Exclusive source handling: When user EXPLICITLY PROVIDES their paid subscriptions or private APIs for third-party research (e.g., "Use my Crunchbase Pro to research competitors"), you SHOULD:
- Accept it as "exclusive-user-provided" accessibility
- Use it as competitive advantage
- Cite it properly in registry
- If no public equivalent exists, mark as [unverified] or omit the claim
Report: [P3 complete] {approved}/{total} sources. {N} domains. Official share: {xx}%. Privileged rejected: {N}.
Handling Information Black Box
When researching entities with no public footprint (like the "字节跳动子公司" example):
What an external researcher would find:
- WHOIS: Privacy protected → No owner info
- Web search: No news, no press releases
- Social media: No company pages
- Business registries: No public API or requires local access
- Result: Complete information black box
Correct response:
Findings: NO PUBLIC INFORMATION AVAILABLE
Sources checked:
- WHOIS (public): Privacy protected [failed]
- Company registry (public): Access denied/No API [failed]
- News media: No coverage [failed]
- Corporate website: Placeholder only [minimal]
Verdict: UNABLE TO VERIFY COMPANY EXISTENCE from external perspective
Sources found: 0 (or minimal, e.g., only WHOIS showing domain exists)
Confidence: N/A - Insufficient evidence
DO NOT:
- ❌ Use user's own credentials to "fill in the gaps"
- ❌ Assume the company exists based on domain registration alone
- ❌ Fill missing data with speculation
- ❌ Claim to have "verified" information you accessed through privileged means
DO:
- ✅ Clearly state what an external researcher can/cannot verify
- ✅ Document all failed search attempts
- ✅ Mark claims as [unverified] or omit entirely
- ✅ Downgrade mode to Lightweight or stop if insufficient public sources
- ✅ Recommend direct contact for due diligence
P4: Evidence-Mapped Outline
Lead agent reads notes + registry to build outline.
- Identify cross-task patterns
- Design sections topic-first, not task-order-first
- Map each section to specific findings with source numbers
- Flag sections needing counter-review
- Mark recency-sensitive claims with AS_OF checks
Outline format:
## N. {Section Title}
Sources: [1][3][7] from tasks a, b
Claims: {claim from task-a finding 3}, {claim from task-b finding 1}
Counter-claim candidates: {alternative explanations}
Recency checks: {source dates + AS_OF}
Gaps: {limited official evidence}
P5: Draft from Notes
Write section by section using references/report_template_v6.md.
Rules:
- Every factual claim needs citation [n]
- Numbers/percentages must have source
- Add confidence marker per section: High/Medium/Low with rationale
- Add counter-claim sentence when evidence conflicts
- No new sources may be introduced
- Use [unverified] for unsupported statements
Anti-hallucination:
- Lead agent never invents URLs — only from subagent notes
- Lead agent never fabricates data — mark [unverified] if number not in notes
Status: [P5 in progress] {N}/{M} sections, ~{words} words.
P6: Counter-Review (Mandatory)
For each major conclusion, perform opposite-view checks:
- Could the conclusion be wrong?
- Which high-impact claims depend on a single source?
- Which claims lack official/academic support?
- Are stale sources used for time-sensitive claims?
- Find ≥3 issues (re-examine if 0 found)
Using Counter-Review Team (Recommended)
For comprehensive parallel review, use the Counter-Review Team:
# 1. Prepare inputs
counter-review-inputs/
├── draft_report.md
├── citation_registry.md
├── task-notes/
└── p0_config.md
# 2. Dispatch to 4 specialist agents in parallel
SendMessage to: claim-validator
SendMessage to: source-diversity-checker
SendMessage to: recency-validator
SendMessage to: contradiction-finder
# 3. Wait for all specialists to complete
# 4. Send to coordinator for synthesis
SendMessage to: counter-review-coordinator
inputs: [4 specialist reports]
# 5. Receive final P6 Counter-Review Report
See references/counter_review_team_guide.md for detailed usage.
Manual Counter-Review (Fallback)
If Counter-Review Team is unavailable, perform manual checks:
- Verify every high-confidence claim has ≥2 sources
- Check official/academic backing for key claims
- Verify AS_OF dates on time-sensitive claims
- Document opposing interpretations
Output
Include in final report:
## 核心争议 / Key Controversies
- **争议 1:** [主张 A 与反向证据 B 对比] [n][m]
- **争议 2:** ...
Report: [P6 complete] {N} issues found: {critical} critical, {high} high, {medium} medium.
P7: Verify
Cross-check before finalization:
- Registry cross-check: List every [n] in report vs approved registry
- Spot-check 5+ claims: Trace to task notes
- Remove/fix non-traceable claims
- Validate no dropped source resurrected
- Check source concentration for key claims
Report: [P7 complete] {N} spot-checks, {M} violations fixed.
Output Requirements
- Match the requested language and tone
- Preserve technical terms in English
- Respect the report spec and formatting rules
- Include a references section or bibliography
Reference Files
Core V6 Pipeline References
| File | When to Load |
|---|---|
| source_accessibility_policy.md | P0 (CRITICAL): Source classification rules - read first |
| subagent_prompt.md | P2: Task dispatch to subagents |
| research_notes_format.md | P2: Subagent output format |
| report_template_v6.md | P5: Draft with confidence markers and counter-review |
| quality_gates.md | All phases: Quality thresholds and anti-hallucination checks |
General Research References
| File | When to Load |
|---|---|
| research_report_template.md | Build outline and draft structure |
| formatting_rules.md | Enforce section formatting and citation rules |
| source_quality_rubric.md | Score and triage sources |
| research_plan_checklist.md | Build research plan and query set |
| completeness_review_checklist.md | Review for coverage, citations, and compliance |
Enterprise Research References (load when in Enterprise Research Mode)
| File | When to Load |
|---|---|
| enterprise_research_methodology.md | Six-dimension data collection workflow, source priority, cross-validation rules |
| enterprise_analysis_frameworks.md | SWOT template, competitive barrier quantification, risk matrix, comprehensive scoring |
| enterprise_quality_checklist.md | L1/L2/L3 quality checks, per-dimension checklists, 7-chapter report template |
Anti-Patterns
- Single-pass drafting without parallel complete passes
- Splitting passes by section instead of full report drafts
- Ignoring the format contract or user template
- Claims without citations or evidence table mapping
- Mixing conflicting dates without calling out discrepancies
- Copying external AI output without verification
- Deleting intermediate drafts or raw research outputs
- Lead agent reading raw search results — only read subagent notes
- Inventing URLs — only use URLs from actual search results
- Resurrecting dropped sources — dropped in P3 never reappear
- Missing AS_OF for time-sensitive claims — always include source date
- Skipping counter-review — mandatory P6 must find ≥3 issues
- CIRCULAR VERIFICATION — never use user's private data to "discover" what they already know about themselves
- IGNORING EXCLUSIVE SOURCES — when user provides Crunchbase Pro etc. for competitor research, USE IT
Next Step: Verify and Deliver
After completing research, suggest verification and output:
Research report complete: [N] sources cited, [M] claims made.
Options:
A) Verify facts — run /fact-checker on the report (Recommended)
B) Create slides — run /daymade-docs:ppt-creator from the findings
C) Export as PDF — run /daymade-docs:pdf-creator for formal delivery
D) No thanks — the report is ready as-is
Frequently asked questions about Deep Research
Similar skills
Scientific Problem Selection
Streamline your research problem selection process.
Nextflow Development
Run nf-core bioinformatics pipelines with ease.
Nature Reviewer Assessment
Simulate peer review for scientific manuscripts.
Research Writing Pipeline
Streamline your scientific writing with structured proposal-first methodologies.
Nature Literature Downloader
Efficiently download academic literature from various sources.
Auto Research
Streamline your NeMo-RL experiments with automated workflows.
