Create high-fidelity research reports with strict format control, evidence mapping, source governance, and multi-pass synthesis.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiondeep-researchExecute the skills CLI command in your project's root directory to begin installation:
Fetches deep-research from daymade/claude-code-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate deep-research. Access via /deep-research in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Create high-fidelity research reports with strict format control, evidence mapping, source governance, and multi-pass synthesis.
Lead Agent (coordinator — minimizes raw search context)
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P0: Environment + source policy setup
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P1: Research Task Board (roles, queries, parallel groups)
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Dispatch ──→ Subagent A ──→ writes task-a.md ──┐
──→ Subagent B ──→ writes task-b.md ──┤ (parallel)
──→ Subagent C ──→ writes task-c.md ──┘
| |
| research-notes/ <────────────────────────┘
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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).
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) |
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:
✅ EXCLUSIVE INFORMATION ADVANTAGE: You SHOULD:
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:
Set AS_OF date explicitly at P0. For all time-sensitive claims:
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 testReport: [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 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
Decompose the research question into 4-6 investigation tasks (Standard) or 3-4 tasks (Lightweight).
Each task assignment includes:
When in Enterprise Research Mode, task board maps to six dimensions:
Report: [P1 complete] {N} tasks in {M} groups. Dispatching Group A.
When researching a specific company/enterprise, follow this specialized workflow that ensures six-dimension coverage, quantified analysis frameworks, and three-level quality control.
Same as P0/P1 above, plus:
Subagents execute tasks using references/subagent_prompt.md and output to references/research_notes_format.md.
Source-Type and As OfEach task-{id}.md must contain:
Lead agent executes tasks sequentially, acting as each specialist. Raw search results are discarded after writing notes.
Follow references/enterprise_research_methodology.md for:
Key principles:
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.
Apply frameworks from references/enterprise_analysis_frameworks.md in order:
Run L2 quality check after analysis is complete.
Three-level checks from references/enterprise_quality_checklist.md:
Use the 7-chapter enterprise report template from enterprise_quality_checklist.md:
Plus appendices: Data Source Index, Glossary, Disclaimer.
Lead agent reads all task notes and builds unified registry.
## Sources sectionCITATION 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:
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:
Report: [P3 complete] {approved}/{total} sources. {N} domains. Official share: {xx}%. Privileged rejected: {N}.
When researching entities with no public footprint (like the "字节跳动子公司" example):
What an external researcher would find:
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:
DO:
Lead agent reads notes + registry to build outline.
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}
Write section by section using references/report_template_v6.md.
Rules:
Anti-hallucination:
Status: [P5 in progress] {N}/{M} sections, ~{words} words.
For each major conclusion, perform opposite-view checks:
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
deep-research reduced setup friction for our internal harness; good balance of opinion and flexibility.
Solid pick for teams standardizing on skills: deep-research is focused, and the summary matches what you get after install.
Useful defaults in deep-research — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
I recommend deep-research for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
deep-research reduced setup friction for our internal harness; good balance of opinion and flexibility.
Keeps context tight: deep-research is the kind of skill you can hand to a new teammate without a long onboarding doc.
We added deep-research from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
deep-research is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Registry listing for deep-research matched our evaluation — installs cleanly and behaves as described in the markdown.
deep-research is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
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