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Research survey

Skill BioTender-max/awesome-bio-agent-skills/skills/evoskills/research-survey

A curated collection of AI agent skills for biomedical research, covering genomics, proteomics, single-cell analysis, clinical AI, and protein design.

Install
npx -y skills add BioTender-max/awesome-bio-agent-skills --skill research-survey

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Generates structured literature survey reports from collected papers using a multi-stage pipeline: outline generation (query-type adaptive) → draft survey → section-by-section expansion → summary section refinement → final assembly. Produces survey-grade output with taxonomy-based method analysis, LaTeX formalizations, comparative tables, and dense citations. Use when: user wants a literature review, research survey, field overview, or systematic synthesis of multiple papers. Do NOT use for finding/searching papers (use paper-navigator), generating research ideas (use research-ideation), or writing a paper's Related Work section (use paper-writing).

SKILL.md

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Research Survey

Generates high-quality, survey-grade literature reviews from papers collected by paper-navigator.

paper-navigator (collect 30-120 papers)
    ↓
Stage 1: Generate Outline (query-type adaptive structure)
    ↓
Stage 2: Draft Survey (outline + top-30 papers)
    ↓
Stage 3: Expand Sections (draft + all papers, section-by-section)
    ↓
Stage 4: Generate Section Summaries
    ↓
Stage 5: Refine Summary Sections (Abstract/Intro/Conclusion)
    ↓
Stage 6: Assemble + References

When to Use

  • User asks for a "literature review", "survey", "field overview", or "systematic review"
  • User has collected papers and wants them synthesized into a structured report
  • User wants to understand the full landscape of a research field

When NOT to Use

  • Finding papers → use paper-navigator first, then come here
  • Generating research ideas → use research-ideation
  • Writing a Related Work section for a paper → use paper-writing

Dependency: paper-navigator

This skill requires papers as input. If the user hasn't provided papers, first invoke paper-navigator (Workflow 1, target 30-120 papers) to collect them.

CRITICAL: All paper discovery MUST use the paper-navigator skill and its scripts (scholar_search, citation_traverse, arxiv_monitor, recommend, etc.). Using WebSearch, WebFetch, or any generic web search tool for finding papers is PROHIBITED. Generic web search cannot access Semantic Scholar, citation graphs, or academic recommendation systems. Only paper-navigator provides the academic search infrastructure needed for survey-quality literature collection.


Stage 1: Generate Outline

This is a two-phase process. Different fields have different survey conventions — a clinical systematic review looks nothing like a CS methods survey. First generate a domain-appropriate template, then create the detailed outline.

Phase 1A: Generate Domain-Specific Survey Template

Before outlining, identify the field and adapt the structure:

  1. Identify the field from the user's goal and collected papers
  2. Select section names and organization logic using the field-specific conventions in assets/survey-template.md (e.g., medicine organizes by intervention type and follows PRISMA; chemistry organizes by reaction class; social sciences organize by theoretical perspective)
  3. Add field-specific sections (e.g., Risk of Bias Assessment for medicine, Structure-Property Relationships for materials, Ethical Considerations for human-subjects research)
  4. Determine comparison table dimensions appropriate to the field

Phase 1B: Create Detailed Outline

With the domain-specific template as the framework, generate the outline:

Query Type Classification

TypeExampleStructure
A: Single-topic deep dive"Catalyst design for electrochemical CO2 reduction"Intro → Problem Definition → Methods (by mechanism/approach) → Evaluation → Challenges → Conclusion
B: Multi-topic parallel"Drug resistance mechanisms and therapeutic strategies in cancer immunotherapy"Intro → Topic 1 (definition + methods)Topic 2 (definition + methods) → Evaluation → Challenges → Conclusion
C: Pipeline/stage-based"From sample preparation to data analysis in single-cell RNA sequencing"Chapters organized by workflow stages

Outline Requirements

The outline is NOT a simple heading list — it's a blueprint with meta-instructions for each section. For each ## Section:

  • Include [Instruction: ...] specifying what the section must contain
  • Specify required tables with field-appropriate columns
  • For main body sections: mandate taxonomy by underlying principle/mechanism, NOT chronology
  • Include any field-required elements (e.g., PRISMA flowchart for medical systematic reviews, mathematical formalism for physics)

See references/survey-methodology.md for full outline generation rules and assets/survey-template.md for field-specific conventions.


Stage 2: Draft Survey

Generate a complete draft from the outline using the top-30 most relevant papers.

  • Use numbered citations [1], [2, 3] throughout
  • Follow the outline's meta-instructions strictly
  • Each methods section must build a taxonomy and include comparison tables
  • Problem definition must include LaTeX formalization ($$...$$)

Stage 3: Expand Sections

Expand each non-summary section using all collected papers (30-120). This is where survey-grade depth is achieved.

Section Expansion Targets

Section TypeTarget LengthFocus
Methods6000+ words per paradigm chapterTechnical narratives, mechanism analysis, comparison tables
Evaluation3500+ wordsBenchmark taxonomy, metric analysis, SOTA summary
Challenges3000+ wordsProblem definition + evidence + opportunity per challenge
Applications3000+ wordsReal-world use cases with specific achievements
Problem Definition2000+ wordsLaTeX formalization, constraints, assumptions
Other2500+ wordsDefault

Expansion Rules

  1. Thematic coherence: Keep same themes and narrative flow as draft — don't introduce unrelated topics
  2. Cite comprehensively: Use as many relevant papers from the full collection as possible
  3. Survey-grade depth: Multi-paragraph technical narratives per method family, not shallow bullet points
  4. For each paradigm/method family, include:
    • Technical narrative: How it works, theoretical assumptions, nuances between papers
    • Critical analysis: Why effective, trade-offs, failure modes
    • Comparative analysis table: Method | Core Mechanism | Key Advantage | Limitation | Performance

Stage 4: Generate Section Summaries

After all content sections are expanded, generate a condensed summary for each major section:

  1. Summarize each expanded section in 150-300 words
  2. Preserve the key taxonomy, representative methods, and main trade-offs
  3. Keep citation anchors so later summary sections remain grounded

These section summaries become the shared context for the final abstract, introduction, and conclusion.


Stage 5: Refine Summary Sections

After all content sections are expanded, refine the summary sections (Abstract, Introduction, Conclusion):

  1. Use all section summaries as context to rewrite Abstract, Introduction, Conclusion
  2. This ensures summary sections accurately reflect the full survey content

Summary Section Standards

Abstract (300-500 words):

  • Continuous narrative, NO bullet points or bold labels
  • Must cover: background → gap → scope → key findings → outlook

Introduction:

  • Continuous narrative, NO subsections or bullet points
  • Must cover: research background → why traditional methods fail → method summary → scope & organization

Conclusion:

  • Summarize findings, state which paradigm is most promising
  • Respond to user's original research goal
  • Provide clear "next step" recommendation

Stage 6: Assemble Final Survey

Assemble sections in outline order, then append formatted references:

**1. Title** (Year). _Authors_. *Venue*. Citations: N. [[Link]](url)

Save to /artifacts/survey-{topic}-{date}.md.


Core Quality Principles

  1. Build taxonomy, don't enumerate: Cluster papers by technical mechanism, not chronology. This is the defining characteristic of a survey vs. a summary.

  2. Critical insight over description: For EVERY method, analyze WHY it works, WHAT trade-off it makes, WHERE it fails. This separates survey-grade writing from shallow summaries.

  3. Goal-centric filtering: Every piece of information must answer "How does this help achieve the research goal?" Discard information that doesn't serve the goal, even if it's interesting.

  4. Strict terminology fidelity: Use the user's exact technical terms. Do NOT drift to related but different concepts.

  5. Dense citations: Ground ALL claims with numbered citations [X]. Nearly every sentence should reference at least one paper.

  6. Zero vagueness: Replace generic statements with specific method names, dataset names, metric values, and problem descriptions.

  7. Visual structure: Use Markdown tables extensively — paradigm comparison, intra-paradigm method comparison, benchmark tables, metric tables.


Reference Materials

ResourceLocationPurpose
Multi-stage pipeline detailsreferences/survey-methodology.mdFull methodology: outline rules, section standards, expansion targets
Section quality checklistreferences/section-quality-checklist.mdPer-section verification checklist before finalizing
Survey output templateassets/survey-template.mdEnglish Markdown template with section structure, table formats, and placeholder guidance

Handoff

From → ToWhen
paper-navigator → herePapers collected, user wants synthesis
Here → research-ideationSurvey reveals research gaps worth pursuing
Here → paper-writingSurvey informs Related Work section of a paper
Here → paper-planningSurvey provides literature context for story design

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