b1
SkillSearchVS-Enhanced Literature Review Strategist - Comprehensive support for multiple review methodologies Full VS 5-Phase process: Prevents Mode Collapse and presents creative search strategies Supports: Systematic Review (PRISMA 2020), Scoping Review (JBI/PRISMA-ScR), Meta-Synthesis, Realist Synthesis, Narrative Review, Rapid Review Use when: conducting any type of literature review, systematic reviews, meta-analyses, scoping reviews, finding prior research Triggers: literature review, PRISMA, systematic review, scoping review, meta-synthesis, realist synthesis, narrative review, rapid review
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
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What this skill tells your AI
The instructions your AI receives, as published by brycewang-stanford/auto-empirical-research-skills in skills/25-HosungYou-Diverga/skills/b1/SKILL.md and read by ahel’s review.
⛔ Prerequisites (v8.2 — MCP Enforcement)
diverga_check_prerequisites("b1") → must return approved: true
If not approved → AskUserQuestion for each missing checkpoint (see .claude/references/checkpoint-templates.md)
Checkpoints During Execution
- 🟠 CP_SCREENING_CRITERIA →
diverga_mark_checkpoint("CP_SCREENING_CRITERIA", decision, rationale) - 🟡 CP_SEARCH_STRATEGY →
diverga_mark_checkpoint("CP_SEARCH_STRATEGY", decision, rationale) - 🔴 CP_VS_001 →
diverga_mark_checkpoint("CP_VS_001", decision, rationale)
Fallback (MCP unavailable)
Read .research/decision-log.yaml directly to verify prerequisites. Conversation history is last resort.
B1-Literature Review Strategist
Agent ID: 05 (formerly B1-Systematic Literature Scout) Category: B - Literature & Evidence VS Level: Full (5-Phase) Tier: Core Icon: 📚
Overview
Develops and executes comprehensive literature search strategies for multiple review methodologies. Applies VS-Research methodology to avoid monotonous strategies like "search PubMed only," proposing comprehensive and reproducible search strategies tailored to review type.
Supported Review Types
This agent supports 6 major literature review methodologies:
| Review Type | Standard/Framework | Purpose | Timeline |
|---|---|---|---|
| Systematic Review | PRISMA 2020 | Intervention effectiveness, policy evidence synthesis | 6-12 months |
| Scoping Review | JBI Scoping Review, PRISMA-ScR | Research area mapping, gap identification, concept clarification | 4-8 months |
| Meta-Synthesis | Noblit & Hare (Meta-ethnography), Thematic synthesis | Qualitative research integration, theory development | 8-12 months |
| Realist Synthesis | RAMESES standard | Complex intervention context-mechanism-outcome analysis | 8-14 months |
| Narrative Review | Traditional, Critical, Integrative | Theory development, concept clarification, critical analysis | 3-6 months |
| Rapid Review | Accelerated PRISMA | Time-constrained policy decisions, urgent evidence needs | 2-4 weeks |
VS-Research 5-Phase Process
Phase 0: Context Collection (MANDATORY)
Must collect before VS application:
Required Context:
- review_type: "systematic_review | scoping_review | meta_synthesis | realist_synthesis | narrative_review | rapid_review"
- research_question: "Refined research question"
- key_concepts: "Main keyword list"
Optional Context:
- inclusion_criteria: "Year, language, study type"
- exclusion_criteria: "Study types to exclude"
- target_journal: "Target journal level"
- timeline_constraint: "For rapid reviews"
- theoretical_framework: "For realist synthesis"
Review-Type Specific Triggers:
| Review Type | Trigger Keywords |
|---|---|
| Systematic Review | "PRISMA", "systematic review", "meta-analysis", "intervention effectiveness" |
| Scoping Review | "scoping review", "map the literature", "research gap", "JBI", "PRISMA-ScR" |
| Meta-Synthesis | "meta-synthesis", "meta-ethnography", "qualitative synthesis", "Noblit & Hare" |
| Realist Synthesis | "realist synthesis", "CMO", "context-mechanism-outcome", "RAMESES" |
| Narrative Review | "narrative review", "literature review", "critical review", "integrative review" |
| Rapid Review | "rapid review", "urgent", "quick turnaround", "2-4 weeks" |
Phase 1: Modal Search Strategy Identification
Purpose: Explicitly identify the most predictable "obvious" search strategies and improve upon them
Review-Type Specific Modal Warnings:
Systematic Review Modal Strategies
## Phase 1: Modal Search Strategy Identification (Systematic Review)
⚠️ **Modal Warning**: The following are the most common incomplete search strategies:
| Modal Strategy | T-Score | Problem |
|---------------|---------|---------|
| Single DB (PubMed only) | 0.95 | Low recall, field bias |
| Keywords only | 0.90 | Missing synonyms |
| Title/abstract only | 0.88 | Missing relevant literature |
| No citation tracking | 0.85 | Missing key literature |
| English-only | 0.83 | Language bias |
➡️ This is the baseline. We will develop more comprehensive strategies.
Scoping Review Modal Strategies
## Phase 1: Modal Search Strategy Identification (Scoping Review)
⚠️ **Modal Warning**: Common incomplete scoping review searches:
| Modal Strategy | T-Score | Problem |
|---------------|---------|---------|
| Too narrow scope | 0.92 | Defeats scoping purpose |
| No iterative refinement | 0.88 | Missing emerging themes |
| Systematic review approach | 0.85 | Over-rigorous for scoping |
| No concept clarification | 0.82 | Unclear scope boundaries |
➡️ Scoping reviews require breadth and flexibility.
Meta-Synthesis Modal Strategies
## Phase 1: Modal Search Strategy Identification (Meta-Synthesis)
⚠️ **Modal Warning**: Common incomplete meta-synthesis searches:
| Modal Strategy | T-Score | Problem |
|---------------|---------|---------|
| Quantitative DB focus | 0.93 | Missing qualitative studies |
| No method filters | 0.90 | Low precision |
| Exhaustive search attempt | 0.87 | Purposive sampling more appropriate |
| No conceptual saturation | 0.84 | Incomplete thematic coverage |
➡️ Meta-synthesis requires targeted qualitative literature search.
Realist Synthesis Modal Strategies
## Phase 1: Modal Search Strategy Identification (Realist Synthesis)
⚠️ **Modal Warning**: Common incomplete realist synthesis searches:
| Modal Strategy | T-Score | Problem |
|---------------|---------|---------|
| Exhaustive search | 0.94 | Inefficient for theory-driven approach |
| No CMO framing | 0.91 | Missing mechanistic insights |
| Empirical studies only | 0.88 | Missing theoretical literature |
| Linear search | 0.85 | Should be iterative |
➡️ Realist synthesis requires iterative, theory-driven search.
Narrative Review Modal Strategies
## Phase 1: Modal Search Strategy Identification (Narrative Review)
⚠️ **Modal Warning**: Common incomplete narrative review searches:
| Modal Strategy | T-Score | Problem |
|---------------|---------|---------|
| No clear scope | 0.96 | Arbitrary selection |
| Cherry-picking | 0.93 | Confirmation bias |
| Outdated sources | 0.89 | Missing recent advances |
| No critical analysis | 0.86 | Descriptive only |
➡️ Narrative reviews still require logical structure and critical analysis.
Rapid Review Modal Strategies
## Phase 1: Modal Search Strategy Identification (Rapid Review)
⚠️ **Modal Warning**: Common rapid review pitfalls:
| Modal Strategy | T-Score | Problem |
|---------------|---------|---------|
| Too comprehensive | 0.94 | Defeats rapid purpose |
| Single reviewer, no verification | 0.91 | High risk of errors |
| No transparency about shortcuts | 0.88 | Misleading rigor claims |
| No date limits | 0.85 | Unmanageable volume |
➡️ Rapid reviews require smart shortcuts with transparent reporting.
Phase 2: Long-Tail Strategy Sampling
Purpose: Present search strategies at 3 levels based on T-Score
## Phase 2: Long-Tail Strategy Sampling
**Direction A** (T ≈ 0.6): Multi-database + Boolean
- 3-5 academic DBs + Boolean operator combinations
- Advantages: Standard but comprehensive
- Suitable for: General systematic reviews
**Direction B** (T ≈ 0.4): Comprehensive strategy + Supplementary search
- Multi-DB + Citation tracking + Grey literature
- Advantages: PRISMA criteria compliant
- Suitable for: Meta-analyses, top-tier journals
**Direction C** (T < 0.25): Innovative search strategy
- AI-assisted screening + Semantic search + Living review
- Advantages: Latest methodology application
- Suitable for: Methodological innovation papers
Phase 3: Low-Typicality Selection
Purpose: Select strategy appropriate for research type and journal level
Selection Criteria:
- Comprehensiveness: Minimize missing relevant literature
- Reproducibility: Complete documentation of search process
- Efficiency: Effectiveness relative to resources
- PRISMA Compliance: Guideline adherence
Phase 4: Execution
Purpose: Develop selected strategy in detail
## Phase 4: Search Strategy Execution
### Database-Specific Search Strings
[Present specific search strings]
### Supplementary Searches
[Citation tracking, Grey literature, etc.]
### PRISMA Flowchart
[Document search results]
Phase 5: Originality/Comprehensiveness Verification
Purpose: Confirm final strategy is sufficiently comprehensive
## Phase 5: Comprehensiveness Verification
✅ Modal Avoidance Check:
- [ ] Not searching single DB only? → YES
- [ ] Included citation tracking? → YES
- [ ] Considered grey literature? → YES
✅ Quality Check:
- [ ] PRISMA 2020 criteria compliant? → YES
- [ ] Search process reproducible? → YES
- [ ] All major synonyms included? → YES
Typicality Score Reference Table
Literature Search Strategy T-Score
T > 0.8 (Modal - Extension Needed):
├── Single database search
├── Keywords only
├── Title/abstract only
├── English literature only
└── No citation tracking
T 0.5-0.8 (Established - Supplement):
├── 2-3 databases
├── Boolean operators used
├── Some MeSH/Thesaurus use
├── Last 10 years limitation
└── Basic inclusion/exclusion criteria
T 0.3-0.5 (Comprehensive - Recommended):
├── 5+ databases
├── Forward/Backward citation tracking
├── Expert consultation
├── Grey literature included
├── Multilingual search considered
└── Search string peer review
T < 0.3 (Innovative - For Methodology Papers):
├── Semantic search tools used
├── AI-assisted screening
├── Living review methodology
├── Text mining pre-exploration
└── Novel search methodology development
Review Type Specifications
1. Systematic Review (PRISMA 2020)
Standard: PRISMA 2020 Statement Purpose: Synthesize evidence for intervention effectiveness, policy decisions, clinical guidelines Search Requirements:
- 3+ major databases (PubMed, Scopus, Web of Science)
- Grey literature search (dissertations, conference proceedings)
- Forward/backward citation tracking
- Comprehensive search string documentation
- PRISMA flow diagram
Quality Indicators:
- Protocol pre-registration (PROSPERO, OSF)
- Independent dual screening
- Risk of bias assessment (Cochrane RoB 2, ROBINS-I)
- Sensitivity analysis
2. Scoping Review (JBI/PRISMA-ScR)
Standard: JBI Scoping Review Manual, PRISMA-ScR Purpose: Map research landscape, identify gaps, clarify concepts Search Requirements:
- 2+ databases (can be narrower than systematic review)
- Exploratory search strategies (iterative refinement)
- Grey literature included
- Broader inclusion criteria than systematic reviews
- PRISMA-ScR flow diagram
Key Differences from Systematic Review:
- No mandatory quality appraisal
- Emphasis on breadth over depth
- Iterative search approach acceptable
3. Meta-Synthesis/Meta-Ethnography
Approaches:
- Meta-ethnography (Noblit & Hare, 1988): Interpretive approach to synthesize qualitative studies
- Thematic synthesis (Thomas & Harden, 2008): Line-by-line coding and theme development
- Critical interpretive synthesis (Dixon-Woods et al., 2006): Theory-driven synthesis
Purpose: Integrate qualitative research findings, develop new theoretical insights Search Requirements:
- Database selection: PsycINFO, CINAHL, Sociological Abstracts
- Qualitative research filters (e.g., "interview*", "focus group*", "thematic analysis")
- Purposive sampling acceptable (not exhaustive)
- Emphasis on conceptual saturation
Quality Indicators:
- ENTREQ checklist adherence
- Reflexivity statement
- Line-by-line coding documentation
4. Realist Synthesis
Standard: RAMESES (Realist And Meta-narrative Evidence Syntheses: Evolving Standards) Purpose: Understand how, why, and under what circumstances complex interventions work Search Requirements:
- Iterative and theory-driven search (not exhaustive)
- Multiple literature types: empirical, theoretical, grey
- Snowballing from key papers
- Expert consultation for theory refinement
Framework:
- Context (C): Environmental, social, organizational conditions
- Mechanism (M): Underlying causal processes
- Outcome (O): Intended and unintended results
- CMO Configurations: C + M → O chains
Quality Indicators:
- CMO configuration documentation
- Program theory development
- Stakeholder engagement
5. Narrative Review
Types:
- Traditional: Broad overview of a topic (less systematic)
- Critical: Evaluate and critique existing research paradigms
- Integrative: Synthesize diverse methodologies (qualitative + quantitative)
Purpose: Theory development, concept clarification, critical analysis Search Requirements:
- 1-2 major databases acceptable
- Can be selective (not exhaustive)
- Expert-driven selection
- No mandatory flow diagram
Quality Indicators:
- Clear scope definition
- Logical organization
- Critical analysis (not just summary)
6. Rapid Review
Purpose: Urgent policy decisions, timely evidence needs (e.g., pandemic response) Timeline: 2-4 weeks (vs. 6-12 months for systematic review) Search Requirements:
- Streamlined methods: 1-2 databases, limited date range
- Single screening (not dual)
- No grey literature search
- Simplified quality appraisal
- PRISMA-RR reporting
Acceptable Shortcuts:
- English-only
- Recent publications only (last 5 years)
- Single reviewer with verification
- No protocol pre-registration
Caution: Trade-offs between speed and comprehensiveness must be transparent
Input Requirements
Required:
- review_type: "systematic_review | scoping_review | meta_synthesis | realist_synthesis | narrative_review | rapid_review"
- research_question: "Refined research question"
- key_concepts: "Main keyword list"
Optional:
- inclusion_criteria: "Year, language, study type"
- exclusion_criteria: "Study types to exclude"
- specific_databases: "Priority databases to search"
- timeline: "Urgency level (for rapid reviews)"
- quality_appraisal: "Required or not (for scoping reviews)"
Output Format (VS-Enhanced)
## Systematic Literature Search Strategy (VS-Enhanced)
---
### Phase 1: Modal Search Strategy Identification
⚠️ **Modal Warning**: The following are common incomplete searches in this field:
| Modal Strategy | T-Score | Problem in This Study |
|---------------|---------|----------------------|
| [Strategy1] | 0.95 | [Specific problem] |
| [Strategy2] | 0.90 | [Specific problem] |
➡️ This is the baseline. We will develop more comprehensive strategies.
---
### Phase 2: Long-Tail Strategy Sampling
**Direction A** (T = 0.60): Multi-DB + Boolean
- Databases: [List]
- Supplement: MeSH/Thesaurus
- Suitable for: [Journal level]
**Direction B** (T = 0.38): Comprehensive PRISMA Compliant
- Databases: [Extended list]
- Supplement: Citation tracking, Grey lit
- Suitable for: [Journal level]
**Direction C** (T = 0.22): Innovative Strategy
- Additional: AI screening, Semantic search
- Suitable for: [Journal level]
---
### Phase 3: Low-Typicality Selection
**Selection**: Direction [B] - Comprehensive PRISMA Compliant (T = 0.38)
**Selection Rationale**:
1. Appropriate comprehensiveness for [research type]
2. Full PRISMA 2020 compliance
3. Resource-efficient
---
### Phase 4: Search Strategy Execution
#### 1. PICO(S)-Based Search Structure
| Element | Concept | Search Terms |
|---------|---------|--------------|
| Population | [Target] | term1 OR term2 OR term3 |
| Intervention | [Intervention] | term1 OR term2 |
| Comparison | [Comparison] | term1 OR term2 |
| Outcome | [Outcome] | term1 OR term2 |
**Combined Search String:**
(Population terms) AND (Intervention terms) AND (Outcome terms)
#### 2. Search Term Development
##### Concept 1: [Concept Name]
| Type | Terms |
|------|-------|
| Core terms | [term] |
| Synonyms | [term1, term2] |
| Related terms | [term] |
| MeSH/Thesaurus | [term] |
| Truncation | [term*] |
##### Concept 2: [Concept Name]
[Same format]
#### 3. Database-Specific Search Strategies
##### Semantic Scholar (API Available)
Search string: [Optimized search string] Filters: year >= [year], open_access = true API endpoint: /graph/v1/paper/search
##### OpenAlex (API Available)
Search string: [Optimized search string] Filters: from_publication_date:[year] API endpoint: /works
##### PubMed
Search string: [Optimized search string] Filters: [Applied filters]
##### PsycINFO / ERIC
Search string: [Optimized search string] Thesaurus: [Applied terms]
##### arXiv (100% OA)
Search string: [Optimized search string] Categories: [Relevant categories]
#### 4. Grey Literature Search Plan
| Source | Search Method | Status |
|--------|--------------|--------|
| ProQuest Dissertations | [Method] | ⬜ |
| Conference Proceedings | [Method] | ⬜ |
| OSF Preprints | [Method] | ⬜ |
| Google Scholar (supplement) | [Method] | ⬜ |
#### 5. Supplementary Search Strategies
##### Citation Tracking
- **Forward**: Start from [key paper list]
- **Backward**: Review references of [key papers]
##### Key Author Search
- [Author1]: [ORCID / Google Scholar profile]
- [Author2]: [Search method]
##### Key Journal Hand Search
- [Journal1]: Last [N] years
- [Journal2]: Check special issues
#### 6. Search Results Documentation
| Database | Search Date | Search String | Results |
|----------|-------------|---------------|---------|
| Semantic Scholar | [Date] | [String] | [N] |
| OpenAlex | [Date] | [String] | [N] |
| PubMed | [Date] | [String] | [N] |
| | | **Total** | **[N]** |
#### 7. PRISMA 2020 Flowchart Draft
╔═══════════════════════════════════════════════════════════════╗ ║ IDENTIFICATION ║ ╟───────────────────────────────────────────────────────────────╢ ║ Records identified from databases (n = X) ║ ║ Semantic Scholar (n = ) ║ ║ OpenAlex (n = ) ║ ║ PubMed (n = ) ║ ║ Other databases (n = ) ║ ║ ║ ║ Records identified from other sources (n = X) ║ ║ Citation tracking (n = ) ║ ║ Grey literature (n = ) ║ ╠═══════════════════════════════════════════════════════════════╣ ║ SCREENING ║ ╟───────────────────────────────────────────────────────────────╢ ║ Records after duplicates removed (n = X) ║ ║ ↓ ║ ║ Records screened (n = X) ║ ║ → Records excluded (n = X) ║ ║ ↓ ║ ║ Reports sought for retrieval (n = X) ║ ║ → Reports not retrieved (n = X) ║ ╠═══════════════════════════════════════════════════════════════╣ ║ INCLUDED ║ ╟───────────────────────────────────────────────────────────────╢ ║ Reports assessed for eligibility (n = X) ║ ║ → Reports excluded with reasons (n = X) ║ ║ ↓ ║ ║ Studies included in review (n = X) ║ ║ Reports included in review (n = X) ║ ╚═══════════════════════════════════════════════════════════════╝
---
### Phase 5: Comprehensiveness Verification
✅ Modal Avoidance:
- [x] Searching 5+ databases
- [x] Citation tracking (Forward + Backward) included
- [x] Grey literature search plan included
✅ PRISMA 2020 Compliance:
- [x] Search strings fully documented
- [x] Results by database recorded
- [x] Reproducible procedures
✅ Quality Assurance:
- [x] MeSH/Thesaurus used
- [x] Boolean operators appropriately applied
- [x] Truncation (*) applied
Major Database Characteristics
API-Based (Automatable)
| DB | API | Features | PDF Access |
|---|---|---|---|
| Semantic Scholar | REST | Free, citation network | ~40% OA |
| OpenAlex | REST | Free, comprehensive | ~50% OA |
| arXiv | REST | Free, preprints | 100% |
Manual Search Required
| DB | Field | Thesaurus |
|---|---|---|
| PubMed | Medicine/Life sciences | MeSH |
| PsycINFO | Psychology | APA Thesaurus |
| ERIC | Education | ERIC Descriptors |
Review Type Selection Guide
When User is Unsure Which Review Type to Use:
Use this decision tree to guide selection:
START: "What is your primary goal?"
├─ "Test intervention effectiveness" → SYSTEMATIC REVIEW
│ └─ Quantitative synthesis → Add META-ANALYSIS
│
├─ "Map research landscape" → SCOPING REVIEW
│ ├─ Narrow, well-defined → Consider SYSTEMATIC REVIEW
│ └─ Broad, exploratory → SCOPING REVIEW
│
├─ "Understand lived experiences" → META-SYNTHESIS
│ ├─ Qualitative only → META-ETHNOGRAPHY
│ └─ Mixed methods → INTEGRATIVE REVIEW
│
├─ "Explain how/why interventions work" → REALIST SYNTHESIS
│ └─ Complex interventions in context → REALIST SYNTHESIS
│
├─ "Provide overview for teaching/conceptual clarity" → NARRATIVE REVIEW
│ ├─ Need rigor → Consider SCOPING REVIEW
│ └─ Theory-driven → NARRATIVE REVIEW
│
└─ "Urgent policy decision (< 1 month)" → RAPID REVIEW
└─ If time allows → Upgrade to SYSTEMATIC REVIEW
Comparison Table
| Dimension | Systematic | Scoping | Meta-Synthesis | Realist | Narrative | Rapid |
|---|---|---|---|---|---|---|
| Research Question | Focused | Broad | Experiential | Causal | Conceptual | Urgent |
| Data Type | Quantitative | Any | Qualitative | Any | Any | Any |
| Search Comprehensiveness | Exhaustive | Broad | Purposive | Iterative | Selective | Streamlined |
| Quality Appraisal | Mandatory | Optional | Yes (CASP) | Contextual | No | Simplified |
| Protocol Registration | Required | Recommended | No | No | No | No |
| Dual Screening | Yes | Yes | No | No | No | Optional |
| Timeline | 6-12m | 4-8m | 8-12m | 8-14m | 3-6m | 2-4w |
| Reporting Standard | PRISMA 2020 | PRISMA-ScR | ENTREQ | RAMESES | None | PRISMA-RR |
Review-Type Specific Database Recommendations
Systematic Review
- Core: PubMed, Scopus, Web of Science, PsycINFO, ERIC
- Supplementary: Semantic Scholar, OpenAlex, arXiv
- Grey: ProQuest Dissertations, OpenGrey, ClinicalTrials.gov
Scoping Review
- Core: 2-3 major databases relevant to topic
- Supplementary: Google Scholar (first 200 results), Semantic Scholar
- Grey: Conference proceedings, policy documents
Meta-Synthesis
- Core: PsycINFO, CINAHL, Sociological Abstracts, Scopus
- Supplementary: Anthropology Plus, Social Services Abstracts
- Grey: Qualitative Data Repository, OSF
Realist Synthesis
- Iterative: Start with key papers, snowball
- Diverse: Academic + policy + practice literature
- Theoretical: Philosophy databases, theory papers
Narrative Review
- Selective: 1-2 major databases in the field
- Expert-Driven: Key journals and author hand-search
- Classic: Foundational texts + recent advances
Rapid Review
- Focused: PubMed + 1 discipline-specific DB
- Recent: Last 5 years only
- OA Priority: Semantic Scholar, OpenAlex (for speed)
Related Agents
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