Agent skill · Code Review & Quality

research-survey

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 wr

BioTender-maxgithub.com/BioTender-maxGitHub ↗
claude-coderead-onlyNOASSERTION
Install
npx skills add BioTender-max/awesome-bio-agent-skills --skill research-survey --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 10 KB
Bundled scripts: none
Version: 1.0.0
Declared author: EvoScientist
Allowed tools: write_fileedit_fileread_filethink_tool
Path: skills/evoskills/research-survey/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 135
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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` sk

What's inside
Steps it walks through
  1. When to Use
  2. When NOT to Use
  3. Dependency: paper-navigator
  4. Stage 1: Generate Outline
  5. Phase 1A: Generate Domain-Specific Survey Template
  6. Phase 1B: Create Detailed Outline
  7. Stage 2: Draft Survey
  8. Stage 3: Expand Sections
  9. Section Expansion Targets
  10. Expansion Rules
  11. Stage 4: Generate Section Summaries
  12. Stage 5: Refine Summary Sections
  13. Summary Section Standards
  14. Stage 6: Assemble Final Survey
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About this skill
What does the research-survey skill do?

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 wr

How do I install it?

Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill research-survey --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From BioTender-max/awesome-bio-agent-skills, a repository with 135 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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