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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.

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Overview

Install command

npx skills add https://github.com/CUHK-AIM-Group/NeuroClaw --skill research-idea

Copy and paste this command into Claude Code to install the skill

Source

CUHK-AIM-Group/NeuroClaw

Stars53

Forks3

UpdatedMay 6, 2026 at 20:36

SKILL.md

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name	research-idea
description	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.
license	MIT License (NeuroClaw custom skill – freely modifiable within the project)
layer	interface
skill_type	workflow
dependencies	["multi-search-engine","academic-research-hub"]

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	Polish and save	IDEA.md

Installation

# Place files in: skills/research-idea/

Important Notes & Limitations

Always uses external search skills (no LLM hallucination for literature).
Every step saved as numbered .md files for transparency/resume.
Requires user confirmation at discussion steps.
Final output always saved as IDEA.md in workspace root.

When to Call This Skill

Start of any new project
User wants to brainstorm or pivot research direction
Before method-design or paper-writing

Complementary / Related Skills

multi-search-engine → core web & general literature retrieval
academic-research-hub → arXiv, PubMed, Semantic Scholar paper search
method-design → consumes IDEA.md
paper-writing → consumes IDEA.md
experiment-controller → follows finalized idea

Reference

NeuroClaw architecture (section 1.4 research survey skill).
Flow: search → gap analysis → proposal → user discussion → IDEA.md

Created At: 2026-03-24 20:00 HKT Last Updated At: 2026-03-26 00:28 HKT
Author: chengwang96

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method-design

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Use this skill whenever the user wants to formalize a network architecture and derive theoretical components from a research idea. Triggers include: 'method design', 'design method', 'network architecture', 'formula derivation', 'method-design', 'theoretical framework', 'derive equations', 'compare alternatives', 'architecture tournament', 'rank designs', 'design space exploration', or any request to transform IDEA.md into a detailed METHOD.md. This skill is the **mandatory interface-layer method formalizer** in NeuroClaw: it reads IDEA.md, optionally drafts N alternative architectures and ranks them via a Bradley-Terry pairwise tournament (Tournament Mode), designs concrete network structures (layers, modules, connections), performs mathematical derivations (equations, loss functions, proofs), and always outputs a structured METHOD.md.

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Use this skill whenever the user wants to remove site/scanner/batch effects from neuroimaging features before running downstream models, run mega-analysis across multiple datasets, or evaluate models with leave-site-out / site-stratified protocols. Triggers include: 'harmonize', 'ComBat', 'CovBat', 'site effect', 'scanner effect', 'batch effect', 'leave-site-out', 'mega-analysis', 'multi-site', 'cross-site', 'neuroHarmonize'. This is a horizontal cross-cutting layer between dataset skills and model skills.

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Use this skill whenever the user wants to run phenotype-prediction models, browse model cards, map model inputs/outputs, or choose an execution route for fMRI/sMRI based models. This is a model-entry orchestration skill: it routes requests to model-specific docs and delegates preprocessing to modality skills.

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Use this model doc whenever the user wants to run Com-BrainTF (Community-aware Brain Transformer) for fMRI phenotype prediction. Com-BrainTF uses dense FC matrices with a two-level Transformer (per-community local + global) and DEC pooling. NeuroClaw auto-derives community partitions from atlas naming conventions (Yeo 7-net for Schaefer, lobe-based for AAL).

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Use this model doc whenever the user wants to run IBGNN (Interpretable Brain Graph Neural Network) for fMRI phenotype prediction. IBGNN is a PyG-based GNN with a learnable MLP message function over [x_i, x_j, edge_attr], designed for connectome-based brain disorder analysis with post-hoc edge-mask explainer support.

2026-05-1953

Source

CUHK-AIM-Group

CUHK-AIM-Group/NeuroClaw

View GitHub Repository View Creator Repositories

Install command

Download

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Useful forSOC

Biological Scientists, All OtherLife, Physical, and Social Science Occupations19-1029L4

name	research-idea
description	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.
license	MIT License (NeuroClaw custom skill – freely modifiable within the project)
layer	interface
skill_type	workflow
dependencies	["multi-search-engine","academic-research-hub"]

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	Polish and save	IDEA.md

Installation

# Place files in: skills/research-idea/

Important Notes & Limitations

Always uses external search skills (no LLM hallucination for literature).
Every step saved as numbered .md files for transparency/resume.
Requires user confirmation at discussion steps.
Final output always saved as IDEA.md in workspace root.

When to Call This Skill

Start of any new project
User wants to brainstorm or pivot research direction
Before method-design or paper-writing

Complementary / Related Skills

multi-search-engine → core web & general literature retrieval
academic-research-hub → arXiv, PubMed, Semantic Scholar paper search
method-design → consumes IDEA.md
paper-writing → consumes IDEA.md
experiment-controller → follows finalized idea

Reference

NeuroClaw architecture (section 1.4 research survey skill).
Flow: search → gap analysis → proposal → user discussion → IDEA.md

Created At: 2026-03-24 20:00 HKT Last Updated At: 2026-03-26 00:28 HKT
Author: chengwang96