Agent skill · AI & Agents

research-idea

Use this skill whenever the user wants to generate or refine a research idea through literature search and discussion. Triggers include: 'research idea', 'brainstorm idea', 'generate idea', 'research-idea', 'idea generation', 'discuss new direction', or any request to explore literature and output to IDEA.md. This skill is the **mandatory interface-layer idea generator** in NeuroClaw: it calls networking search skills to retrieve recent papers, identifies gaps/trends, then iteratively discusses with the user to finalize a structured idea, always saving the result as IDEA.md.

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

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

Facts
Files in the skill folder: 1
SKILL.md size: 3 KB
Bundled scripts: none
Requires: - multi-search-engine - academic-research-hub
Path: skills/neuroclaw/research-idea/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 Idea ## Overview This skill implements the **Literature Search + User Discussion** process for NeuroClaw research-idea phase. It acts as the Idea Generator within the multi-agent framework: - Automatically calls search skills (`multi-search-engine`, `academic-research-hub`, etc.) for the latest papers (prefer last 3–6 months). - Summarizes key trends, methods, and open gaps. - Engages in step-by-step discussion with the user to refine novelty and feasibility. - Saves the final structured idea as **IDEA.md** (Background, Gap, Proposed Idea, Methods Outline, Impact). If no topic is provided, it first asks the user for a domain (e.g., MRI segmentation, world models in neuroscience). **Research use only** — the output is a concise, actionable IDEA.md ready for method-design. ## Quick Reference (Idea Flow) | Step | Description | Output File | |------|------------------------------|----------------------| | 1. Search | Call search skills for recent literature | temp_search.md | | 2. Analysis | Summarize trends & gaps | 01_gap_analysis.md | | 3. Draft | Propose initial idea | 02_preliminary.md | | 4. Discuss | Iterate with user feedback | 03_discussion.md | | 5. Finalize | Poli

What's inside
Steps it walks through
  1. Overview
  2. Quick Reference (Idea Flow)
  3. Installation
  4. Important Notes & Limitations
  5. When to Call This Skill
  6. Complementary / Related Skills
  7. Reference
Commands it runs
Place files in: skills/research-idea/
More from awesome-bio-agent-skills
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About this skill
What does the research-idea skill do?

Use this skill whenever the user wants to generate or refine a research idea through literature search and discussion. Triggers include: 'research idea', 'brainstorm idea', 'generate idea', 'research-idea', 'idea generation', 'discuss new direction', or any request to explore literature and output to IDEA.md. This skill is the **mandatory interface-layer idea generator** in NeuroClaw: it calls networking search skills to retrieve recent papers, identifies gaps/trends, then iteratively discusses with the user to finalize a structured idea, always saving the result as IDEA.md.

How do I install it?

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