AlphaFold Predictor Skill
SkillAI & modelsAlphaFold protein structure prediction skill with confidence assessment and model analysis
Use AlphaFold Predictor Skill in Claude, ChatGPT or Ahel Desktop
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Then ask your AI: use the AlphaFold Predictor Skill
Details
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.
No other account needed.
Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
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
- 113
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
alphafold-predictor- Source
- github.com/a5c-ai/babysitter
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