method-design
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', 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, designs concrete network structures (layers, modules, connections), performs mathematical derivations (equations, loss functions, proofs), and alway
npx skills add BioTender-max/awesome-bio-agent-skills --skill method-design --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Method Design ## Overview This skill implements the **Framework Formalization & Theoretical Derivation** process for the NeuroClaw method-design phase. It acts as the Method Architect within the multi-agent framework: - Reads the latest **IDEA.md** from the workspace. - Designs the specific neural network structure (e.g., CNN backbone, attention modules, MRI-specific layers) tailored to the neuroscience task. - Derives all necessary formulas (loss functions, gradients, convergence proofs, etc.) using symbolic or step-by-step reasoning. - Produces a clean, publication-ready **METHOD.md** with sections: Architecture Diagram (text description), Detailed Layers, Mathematical Formulation, Implementation Notes, and Pseudocode. If any part is ambiguous, it asks the user for clarification before proceeding. **Research use only** — the output is a mathematically rigorous METHOD.md ready for experiment-controller and paper-writing. ## Quick Reference (Method Flow) | Step | Description | Output File | |------|--------------------------------------|------------------------| | 1. Read & Parse | Load and analyze IDEA.md | 01_idea_summary.md | | 2. Architecture Design | Define network layers &
- Overview
- Quick Reference (Method Flow)
- Installation
- Important Notes & Limitations
- When to Call This Skill
- Complementary / Related Skills
- Reference
Place files in: skills/method-design/
What does the method-design skill do?
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', 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, designs concrete network structures (layers, modules, connections), performs mathematical derivations (equations, loss functions, proofs), and alway
How do I install it?
Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill method-design --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.