AlphaFold Predictor Skill

SkillAI & models

AlphaFold protein structure prediction skill with confidence assessment and model analysis

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the AlphaFold Predictor Skill skill

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/bioinformatics/skills/alphafold-predictor/SKILL.md and read by ahel’s review.

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)

Signals

GitHub stars: 2k
Forks: 112
Last commit: Sep 2026

Advanced

Item type: skill
Key: alphafold-predictor
Source: github.com/a5c-ai/babysitter

github.com/a5c-ai/babysitter