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version: "1.0.1" name: literature-survey description: Autonomous Literature Survey Campaign — 5 research paradigms (scoping, systematic, deep, narrative, snowball) with quantitative budget enforcement. Selects and executes the right survey paradigm based on research intent. execution: campaign dependencies: strategies:
- deep-survey
- narrative-review
- scoping-survey
- snowball
- systematic-survey
sops:
- context-checkpoint
- context-init
Literature Survey
Autonomous literature survey engine. Five research paradigms, each a self-contained playbook with quantitative budget enforcement. You provide a research question — it searches, screens, reads, categorizes, identifies gaps, and produces a structured survey output.
Strategy Routing
| Signal | Strategy | |
|---|---|---|
| panoramic mapping of a new field, broad overview, field mapping | → scoping-survey | |
| exhaustive coverage, PRISMA, systematic review | → systematic-survey | |
| precise sub-question, specific mechanism, deep dive | → deep-survey | |
| theory-driven, argument building, narrative | → narrative-review | |
| seed papers, citation chain, lineage tracing | → snowball |
Manifest
Strategies (5)
- scoping-survey
- systematic-survey
- deep-survey
- narrative-review
- snowball
Tactics (3)
- prisma-screening
- citation-chaining (shared: patent-mining, baseline-establishment)
- narrative-framing
Subagent SOPs (11)
- survey-synthesis
- define-search-protocol
- categorize-papers (shared: meta-analysis, baseline-establishment)
- extract-data
- quality-assessment
- seed-selection
- saturation-detection (shared: patent-mining, benchmark-archaeology)
- taxonomy-mapping
- prisma-flowchart
- thematic-coding
- gap-identification (shared: benchmark-archaeology, baseline-establishment)
Import SOPs (5, shared across all campaigns)
- web-search
- web-research
- paper-overview
- paper-search
- paper-research
Budget Table
| Strategy | web-search | web-research | paper-overview | paper-search | paper-research | |
|---|---|---|---|---|---|---|
| scoping-survey | 100 | 10 | 100 | 20 | 0 | |
| systematic-survey | 50 | 5 | 60 | 40 | 30 | |
| deep-survey | 30 | 5 | 40 | 40 | 20 | |
| narrative-review | 80 | 15 | 50 | 40 | 20 | |
| snowball | 20 | 3 | 30 | 30 | 20 |
All values ±10% flexibility. Deviations require explicit reasoning.
MCP Tools
| MCP Server | Tools | |
|---|---|---|
| brave-search | brave_web_search, brave_news_search, brave_llm_context | |
| apify | rag-web-browser, google-scholar-scraper | |
| alphaxiv | discover_papers, get_paper_content, answer_pdf_queries, read_files_from_github_repository | |
| semantic-scholar | ss_paper, ss_paper_batch, ss_references, ss_citations, ss_recommendations, ss_relevance_search, ss_author, ss_author_papers |
Context Management
- Campaign start: context-init
- After each strategy completes: context-checkpoint (append to literature-survey context file)
<!-- BEGIN available-tables (generated) -->
Available Strategies
Optional, no fixed order; the final leaf is always a sop.
| Strategy | When to use | |
|---|---|---|
| deep-survey | Precise, targeted investigation of a specific sub-problem — few papers, all read in full depth. High paper-research ratio (50% deep-read rate). Use when the user knows exactly what they need to understand and requires detailed technical analysis with equations, hyperparameters, and specific claims extracted. | |
| narrative-review | Theory-driven literature review for building arguments and frameworks. Flexible, subjective, and narrative-focused — selects evidence strategically to support a thesis. High web-research budget for blogs, opinion pieces, and industry perspectives. Use when the user is writing a position paper, survey introduction, or constructing a coherent narrative around a research theme. | |
| scoping-survey | Broad landscape mapping strategy — quickly understand what exists in a field. Prioritizes breadth over depth with high paper-overview volume and minimal deep reading. Use when entering a new field or needing orientation before committing to deeper investigation. | |
| snowball | Citation-chain-driven literature survey starting from seed papers. Traces research lineage in both forward (who cited this) and backward (what this cited) directions until saturation. High deep-read ratio (67%). Use when the user already has key papers and wants to find everything connected to them — ancestors, descendants, and branch points. | |
| systematic-survey | Exhaustive PRISMA-style literature survey — comprehensive coverage of all related work on a specific question. Multi-stage screening, citation chaining, quality assessment, and structured data extraction. Use when the user needs to demonstrate complete literature coverage or conduct rigorous gap analysis. |
Available SOPs
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use | |
|---|---|---|
| context-checkpoint | Append research process and results to the current Phase's context file. Covers both process and results with genuine substance. Use this skill at plan-designated checkpoint points — typically after each strategy completes or at key decision nodes within a research Phase. | |
| context-init | Create a new context file for a research Phase. Called once at Phase start to initialize the file that subsequent context-checkpoint calls will append to. Use this skill whenever a new research Phase begins and a fresh context file is needed. |
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