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Research search

Skill GRIDLOCK-NYC/claude-skills/skills/research-search

22 production-tested Claude Code skills: code review, planning, session audits, skill builders, and more.

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npx -y skills add GRIDLOCK-NYC/claude-skills --skill research-search

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Rigorous evidence-based research — domain routing, evidence hierarchies, GRADE assessment, PRISMA screening, citation quality scoring. Use when user says 'investigate', 'research this', 'what does the evidence say', 'systematic review', 'literature review', 'deep dive', 'what do studies show'.

SKILL.md

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Research Investigate

Rigorous evidence-based research applying institutional methodology: evidence hierarchies, source quality grading, systematic search protocols, domain-aware database routing, PRISMA screening, and citation quality scoring.

Important

  • Never fabricate citations. Every claim must trace to a verifiable source or be explicitly marked speculative. If a search returns nothing, report nothing.
  • Never collapse uncertainty. If evidence conflicts, present the conflict. Do not resolve it artificially.
  • Evidence hierarchy is law. Grade every source. Weight conclusions by evidence quality, not volume.
  • Prioritize by citation impact. High-citation papers from Tier 1 venues outweigh a dozen low-quality sources.
  • Take your time with each phase. Rigor is more important than speed.

Instructions

Step 1: Classify and Frame

Determine the research domain and formulate the question.

Domain detection — check in order:

  1. Biomedical/Health: Mentions disease, treatment, drug, gene, symptom, clinical, diagnosis, supplement, nutrition, cancer, condition, pathology, mechanism of action
  2. Technical/Engineering: Mentions algorithm, architecture, protocol, system design, performance, implementation
  3. Markets/Economics: Mentions market, pricing, valuation, behavioral economics, prediction, forecasting
  4. General: Everything else

State: "Domain: [X]. Routing to [relevant databases]."

Question formulation:

  • For biomedical questions: Apply PICO framework (Population, Intervention, Comparison, Outcome). State each element explicitly.
  • For technical questions: Define the system, the property under investigation, and the evaluation criteria.
  • For markets questions: Define the market, the hypothesis, and the observable evidence.
  • For general questions: Define the central question, scope boundaries, and 2-3 sub-questions.

Review type detection:

  • If the user asks for a systematic review, literature review, meta-analysis, or meta analysis, activate the full PRISMA screening protocol in Step 3.
  • Otherwise, proceed with a focused investigation (Steps 2 and 4 only).

Propose the framing to the user. PAUSE. Wait for confirmation before proceeding.

Step 2: Systematic Search

Dispatch 2-4 research subagents in parallel (type: general-purpose), each targeting a different source tier.

Search strategy per domain:

Biomedical/Health:

  • Agent 1: PubMed search using MeSH terms and Boolean operators. Target systematic reviews and meta-analyses first.
  • Agent 2: ClinicalTrials.gov for active and completed trials.
  • Agent 3: Web search for recent guidelines (NIH, WHO, Cochrane) and expert consensus statements.
  • Agent 4 (if genetic/molecular): ClinVar, KEGG pathways, Open Targets.

Technical:

  • Agent 1: arXiv and OpenAlex for academic papers and benchmarks.
  • Agent 2: Web search for implementation reports, documentation, standards bodies.
  • Agent 3: Industry whitepapers and RFCs.

Markets:

  • Agent 1: OpenAlex for behavioral economics and market microstructure literature.
  • Agent 2: Web search for recent data, market reports, regulatory filings.
  • Agent 3: Historical evidence and case studies.

General:

  • Agent 1: Academic database search (OpenAlex, arXiv as appropriate).
  • Agent 2: Web search for authoritative sources (institutional publications, expert analysis).
  • Agent 3: Counter-evidence agent — explicitly search for evidence contradicting the emerging consensus.

Citation chaining: For any highly-cited foundational paper found, run a forward citation search (papers citing it) via Semantic Scholar or OpenAlex. Identify newer work building on seminal papers. Record papers cited across multiple sources — these are strong inclusion candidates.

Each agent receives these instructions:

"Search for evidence on: [specific sub-question]. For EVERY finding:

  1. State the finding in one sentence
  2. Cite the source: Author(s), Year, Journal/Publisher, DOI/URL if available
  3. Classify the source type (see evidence hierarchy below)
  4. Note sample size, methodology, citation count (if retrievable), and key limitations

Evidence hierarchy (grade every source):

  • Level 1: Systematic reviews, meta-analyses
  • Level 2: Randomized controlled trials (RCTs)
  • Level 3: Cohort studies, case-control studies
  • Level 4: Case series, case reports
  • Level 5: Expert opinion, mechanism-based reasoning, animal/in-vitro studies
  • Level P: Preprints (not yet peer-reviewed — flag prominently)
  • Level G: Gray literature, news, industry reports

Source quality indicators:

  • Peer-reviewed journal with impact factor: HIGH quality
  • Preprint server (bioRxiv, medRxiv, arXiv): MEDIUM quality (flag review status)
  • Government/institutional report (NIH, WHO, FDA): HIGH quality
  • News article or blog citing primary research: LOW quality (trace to primary source)
  • Anecdotal report, forum post, social media: VERY LOW quality (note but do not weight)

If you find NO relevant evidence, say so explicitly. Do not fabricate sources."

Step 3: Screening Protocol (Systematic Reviews Only)

Apply only when the user requested a systematic review or literature review. Skip for focused investigations.

Inclusion/Exclusion criteria (confirm with user or use defaults):

  • Date range, language, publication types, study designs

Screening sequence:

  1. Title screening: Exclude obviously irrelevant studies. Record count excluded.
  2. Abstract screening: Apply inclusion/exclusion criteria. Record reasons for exclusion.
  3. Full-text screening: Detailed review against all criteria. Record specific exclusion reasons.

PRISMA flow diagram (render as ASCII for systematic reviews):

Initial search results: n = X
├─ After deduplication: n = Y  (removed: X-Y)
├─ After title screening: n = Z  (excluded: Y-Z)
├─ After abstract screening: n = A  (excluded: Z-A)
└─ Included in review: n = B  (excluded at full-text: A-B)

Step 4: Evidence Synthesis

4a. Citation quality scoring:

Apply these thresholds to weight sources:

Paper AgeCitation ThresholdClassification
0–3 years20+ citationsNoteworthy
0–3 years100+ citationsHighly Influential
3–7 years100+ citationsSignificant
3–7 years500+ citationsLandmark Paper
7+ years500+ citationsSeminal Work
7+ years1000+ citationsFoundational

Journal tiers:

  • Tier 1: Nature, Science, Cell, NEJM, Lancet, JAMA, PNAS, Nature Medicine, Nature Biotechnology
  • Tier 2: High-impact specialized journals (IF > 10), top conferences (NeurIPS, ICML for ML/AI)
  • Tier 3: Respected specialized journals (IF 5–10)
  • Tier 4: Lower-impact peer-reviewed venues

4b. Evidence inventory:

| # | Finding | Source | Level | Tier | Citations | Quality | Sample/Scope | Limitations |
|---|---------|--------|-------|------|-----------|---------|--------------|-------------|
| 1 | ...     | ...    | L1    | T1   | 847       | HIGH    | N=5000       | ...         |

4c. GRADE assessment (biomedical domain):

  • High certainty: Consistent results from multiple Level 1-2 sources. Unlikely to change.
  • Moderate certainty: Level 2-3 sources with some inconsistency. May change with new research.
  • Low certainty: Level 3-4 sources or significant limitations. Likely to change.
  • Very low certainty: Level 4-5 sources, serious limitations, or indirect evidence.

For non-biomedical domains:

  • Strong evidence: Multiple independent, high-quality sources converge
  • Moderate evidence: Several sources agree with notable gaps
  • Weak evidence: Limited sources, significant methodological concerns
  • Speculative: Extrapolation from adjacent evidence or expert reasoning only

4d. Conflict analysis:

For each conflict:

  1. State the contradiction clearly
  2. Assess which side has stronger evidence (by hierarchy level, journal tier, citation count)
  3. Identify possible explanations (different populations, methodologies, timeframes)
  4. Do NOT resolve — present the tension

Step 5: Deliver

## Investigation: [Topic]

### Question
[PICO framing or structured question from Step 1]

### Domain
[Detected domain] | [Databases consulted]

### Evidence Summary

#### [Sub-question 1]
[Synthesized findings organized by evidence strength, strongest first]

#### [Sub-question 2]
[Synthesized findings]

### Evidence Table
[Full table from Step 4b]

### Certainty Assessment
[GRADE or equivalent from Step 4c]
- Overall certainty: [HIGH/MODERATE/LOW/VERY LOW]
- Key factors affecting certainty: [list]

### Conflicts and Limitations
[From Step 4d — present contradictions and unresolved tensions]

### Conclusions
[What the evidence supports, weighted by hierarchy]
- Claims supported by strong evidence: [list]
- Claims with moderate support: [list]
- Claims that are speculative or contested: [list]

### What Would Change This Assessment
- [Most important missing evidence]
- [Ongoing trials or research to watch]
- [Key assumptions that could be wrong]

For systematic reviews, prepend a PRISMA flow diagram (Step 3) before the Evidence Summary.

For investigations spanning 3+ domains, produce a unified synthesis document with per-domain Evidence Summary sections and Evidence Tables, followed by a Cross-Domain Summary. The prescribed template applies within each domain section.

Ask: "Investigation complete. Want me to dig deeper on any finding, challenge a conclusion, or save this?"

PAUSE. Wait for user response.

Citation Style Quick Reference

APA (7th Edition)

  • In-text: (Smith et al., 2023)
  • Reference: Smith, J. D., Johnson, M. L., & Williams, K. R. (2023). Title. Journal, 22(4), 301–318. https://doi.org/10.xxx/yyy

Nature

  • In-text: Superscript numbers^1,2^
  • Reference: Smith, J. D., Johnson, M. L. & Williams, K. R. Title. Nat. Rev. Drug Discov. 22, 301–318 (2023).

Vancouver

  • In-text: Superscript numbers^1,2^
  • Reference: Smith JD, Johnson ML, Williams KR. Title. Nat Rev Drug Discov. 2023;22(4):301–18.

Default: Use APA 7th Edition unless the user specifies otherwise.

Error Handling

  1. No evidence found: Report explicitly. State what was searched and what came back empty. Suggest alternative search terms or adjacent topics.
  2. All evidence is low-quality: Flag prominently. Present what exists but lead with the certainty assessment. Recommend what type of evidence would be needed.
  3. Domain ambiguous: Ask the user to clarify before proceeding. Do not guess.
  4. Conflicting high-quality evidence: Present both sides with full citations. Do not pick a winner — let the user decide.
  5. Citation count unavailable: Note the limitation; do not fabricate counts. Weight by journal tier instead.

Examples

Example 1: Focused Investigation (Biomedical)

Input: /investigate effect of creatine on cognitive function

  • Domain: Biomedical/Health. No systematic review requested — skip PRISMA.
  • PICO: P=healthy adults, I=creatine supplementation, C=placebo, O=cognitive performance measures
  • 3 agents: PubMed meta-analyses, ClinicalTrials.gov active trials, web for Cochrane reviews
  • Evidence table with Level/Tier/Citation columns
  • GRADE assessment, conflicts noted (sleep-deprived vs rested populations)

Example 2: Systematic Review (Technical)

Input: /literature review WebSocket vs SSE for real-time data delivery

  • Domain: Technical/Engineering. Systematic review requested — activate PRISMA.
  • Screening: 3-stage title/abstract/full-text with documented exclusions
  • PRISMA flow diagram rendered
  • Evidence table comparing findings across independent sources
  • Strong/Moderate/Weak/Speculative framework applied

Keep looking

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