alphafold-predictor

AlphaFold protein structure prediction skill with confidence assessment and model analysis

509 stars

Best use case

alphafold-predictor is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

AlphaFold protein structure prediction skill with confidence assessment and model analysis

Teams using alphafold-predictor should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

You only need a quick one-off answer and do not need a reusable workflow.
You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/alphafold-predictor/SKILL.md --create-dirs "https://raw.githubusercontent.com/a5c-ai/babysitter/main/library/specializations/domains/science/bioinformatics/skills/alphafold-predictor/SKILL.md"

Manual Installation

Download SKILL.md from GitHub
Place it in .claude/skills/alphafold-predictor/SKILL.md inside your project
Restart your AI agent — it will auto-discover the skill

How alphafold-predictor Compares

Feature / Agent	alphafold-predictor	Standard Approach
Platform Support	Not specified	Limited / Varies
Context Awareness	High	Baseline
Installation Complexity	Unknown	N/A

Frequently Asked Questions

What does this skill do?

AlphaFold protein structure prediction skill with confidence assessment and model analysis

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# AlphaFold Predictor Skill

## Purpose
Enable AlphaFold protein structure prediction with confidence assessment and model analysis.

## Capabilities
- Structure prediction execution
- pLDDT confidence scoring
- PAE analysis
- Multi-chain complex prediction
- Template-based refinement
- ColabFold integration

## Usage Guidelines
- Review pLDDT scores for prediction confidence
- Analyze PAE for domain boundaries
- Predict complexes for multi-protein assemblies
- Use templates when homologs exist
- Validate predictions against experimental data
- Document model versions and parameters

## Dependencies
- AlphaFold2
- ColabFold
- RoseTTAFold

## Process Integration
- Protein Structure Prediction (protein-structure-prediction)
- Molecular Docking and Virtual Screening (molecular-docking)

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