literature-survey

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)

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. Each append MUST contain >=500 lines of markdown covering both process and results. 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.