foldseek
About
The foldseek skill performs fast 3D protein structure similarity searches against PDB/AFDB databases, enabling structural homology detection and remote homolog finding that sequence-based methods miss. It's ideal for database queries by structure, clustering similar structures, and comparing protein folds. Use this instead of sequence tools like BLAST when structural similarity is needed.
Quick Install
Claude Code
Recommendednpx skills add NeverSight/skills_feed -a claude-code/plugin add https://github.com/NeverSight/skills_feedgit clone https://github.com/NeverSight/skills_feed.git ~/.claude/skills/foldseekCopy and paste this command in Claude Code to install this skill
GitHub Repository
Related Skills
when-creating-presentations-use-pptx-generation
OtherThis Claude Skill generates professional PowerPoint presentations with enforced design constraints and accessibility compliance. It's ideal for creating board decks, reports, or data visualizations when you need enterprise-grade slide decks. The skill produces structured PPTX files with notes and accessibility reports using evidence-based prompting.
when-optimizing-prompts-use-prompt-architect
OtherPrompt Architect is a framework for developers to systematically analyze, refine, and optimize prompts using evidence-based techniques. It helps improve AI response quality and consistency by identifying anti-patterns and validating changes through A/B testing. Use it when you need to refactor an underperforming prompt or design a new, effective one from scratch.
when-creating-skill-template-use-skill-builder
OtherThis skill generates properly structured Claude Code Skills with complete YAML frontmatter, progressive disclosure documentation, and organized directory layouts. It ensures new skills follow best practices and specification requirements while creating all necessary files including SKILL.md, README.md, and process diagrams. Developers should use it when creating reusable skills to maintain consistency and compliance with Claude's skill framework.
when-optimizing-agent-learning-use-reasoningbank-intelligence
OtherThis skill enables adaptive agent learning using ReasoningBank for pattern recognition and strategy optimization. It's designed for improving agent performance through continuous learning when optimizing repetitive tasks or refining strategies. Key outputs include trained models, pattern libraries, and optimization recommendations with performance benchmarks.
