Agent skill · Code Review & Quality

research-ideation

End-to-end research ideation pipeline: literature grounding → multi-track idea generation (3 personas: innovator/pragmatist/critic) → iterative refinement → ELO tournament ranking → update evo-memory (IDE) → user selects direction → expand into manuscript-quality proposal. Use when: user wants to find a research direction, brainstorm ideas, evaluate idea novelty, design a novel solution, rank/compare research ideas, or generate a research proposal. Do NOT use for finding/searching/reading papers (use paper-navigator), literature survey reports (use research-survey), or planning a paper (use pa

BioTender-maxgithub.com/BioTender-maxGitHub ↗
claude-codecan modify filesNOASSERTION
Install
npx skills add BioTender-max/awesome-bio-agent-skills --skill research-ideation --agent claude-code

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

Facts
Files in the skill folder: 1
SKILL.md size: 15 KB
Bundled scripts: none
Version: 2.1.0
Declared author: EvoScientist
Allowed tools: write_fileedit_fileread_filethink_toolexecute
Path: skills/evoskills/research-ideation/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 Ideation From research goal to ranked ideas and a detailed proposal. ``` Step 0: Load evo-memory (M_I) ↓ Step 1: Define Goal ↓ Step 2: Literature Grounding (MUST use paper-navigator scripts) ↓ Step 3: Generate Ideas (3 directions × 3 personas) ↓ Step 4: Refine Ideas (3 tracks × N iterations) ↓ Step 5: ELO Tournament → Present Top-3 to User ↓ Step 6: Update evo-memory (IDE) ↓ User Selects ↓ Step 7: Expand into Proposal ↓ Step 8: Validate and Iterate ``` ## When to Use - User wants to find a research direction or brainstorm research ideas - User wants to evaluate whether an idea is novel or worth pursuing - User wants to rank or compare multiple research ideas - User wants to generate a research proposal from an idea ## When NOT to Use - **Finding/reading papers** → use `paper-navigator` - **Literature survey report** → use `research-survey` - **Planning a paper (story design, experiment plan)** → use `paper-planning` --- ## Step 0: Load Prior Knowledge from evo-memory **Before any ideation begins**, load Ideation Memory (M_I) from prior research cycles: 1. Read M_I at `/memory/ideation-memory.md` (refer to `evo-memory` skill) 2. Select the **top-2 entries** (k_I=2) most r

What's inside
Steps it walks through
  1. When to Use
  2. When NOT to Use
  3. Step 0: Load Prior Knowledge from evo-memory
  4. Step 1: Define a Long-Term Research Goal
  5. Step 2: Literature Grounding (via paper-navigator)
  6. Build Challenge-Insight Tree
  7. Step 3: Generate Ideas
  8. Three Personas
  9. Process
  10. Idea Format
  11. Step 4: Refine Ideas
  12. 5 Evolution Strategies
  13. Logical Cohesion Principles
  14. Step 5: ELO Tournament → Present Top-3
More from awesome-bio-agent-skills
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About this skill
What does the research-ideation skill do?

End-to-end research ideation pipeline: literature grounding → multi-track idea generation (3 personas: innovator/pragmatist/critic) → iterative refinement → ELO tournament ranking → update evo-memory (IDE) → user selects direction → expand into manuscript-quality proposal. Use when: user wants to find a research direction, brainstorm ideas, evaluate idea novelty, design a novel solution, rank/compare research ideas, or generate a research proposal. Do NOT use for finding/searching/reading papers (use paper-navigator), literature survey reports (use research-survey), or planning a paper (use pa

How do I install it?

Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill research-ideation --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.

Keep going