
Metabolic Study Planner
Plan publishable constraint-based metabolic modelling studies when the user has a broad...
Install
npx skills add aiming-lab/AutoResearchClaw --skill metabolic-study-planner -g -a claude-code -y- Repository
- aiming-lab/AutoResearchClaw14.8k
- Category
- Data and ML
- Updated
- 3mo ago
- License
- MIT
- Context cost
- Mediumabout 1,756 tokens
- Runs scripts
- No, instructions only
What it does
Plan publishable constraint-based metabolic modelling studies when the user has a broad biological or metabolic-engineering topic but no concrete dataset, organism, model, or hypothesis. Selects feasible BiGG/COBRA models, objectives, perturbations, analyses, metrics, figures, and risk controls before FBA code is generated.
Metabolic Study Planner
Overview
Use this skill before gsmm-builder, fba-simulator, and flux-analyzer when
the project starts from a broad prompt such as "do a metabolic flux analysis
paper" or "find a publishable idea in microbial metabolism".
The goal is to turn a vague topic into a concrete, executable, paper-shaped study plan:
organism + model + condition + perturbation + metric + figure set + claim
This is the MFA analogue of choosing a collider process and parameter scan before generating events.
Planning Inputs
Extract or infer the following:
| Field | Examples |
|---|---|
| Biological scope | microbial metabolism, cancer metabolism, yeast fermentation, tuberculosis |
| Organism | E. coli, S. cerevisiae, human Recon3D, M. tuberculosis |
| Model source | BiGG ID, local SBML/JSON, manually constructed toy model |
| Objective | biomass, product secretion, ATP maintenance, dual objective |
| Condition | aerobic, anaerobic, carbon source, nutrient limitation |
| Perturbation | gene knockout, reaction knockout, medium swap, oxygen sweep |
| Target output | growth, product yield, essential genes, secretion profile |
| Paper type | mechanism hypothesis, metabolic engineering strategy, benchmark, reproduction |
If the user provides no organism, start with one of these low-risk defaults:
| Default | Model | Why |
|---|---|---|
| E. coli K-12 | iJO1366 or core model | Fast, well curated, standard for FBA papers |
| S. cerevisiae | iMM904 | Fermentation and product-yield studies |
| Human metabolism | Recon3D | Disease metabolism, but larger and harder |
| M. tuberculosis | iNJ661 | Essentiality and drug-target hypotheses |
Prefer E. coli for fully autonomous first runs because it is fast and interpretable.
Study Archetypes
Archetype A: Knockout Strategy for Product Overproduction
Use when the topic mentions metabolic engineering, bio-production, yield, or fermentation.
