Researchers need efficient access to computational protein structure predictions for drug discovery and structural biology studies. This skill provides direct access to AlphaFold DB's 200M+ AI-predicted protein structures, enabling retrieval by UniProt ID, download of coordinate files, and analysis of confidence metrics.

Time series data requires specialized algorithms beyond standard machine learning. Aeon provides scikit-learn compatible APIs for classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search on temporal data.

Protein design requires experimental validation. Adaptyv provides API access to a cloud laboratory for automated testing of binding affinity, expression levels, thermostability, and enzyme activity. Get experimental results in approximately 21 days.

Creating engaging, educational picture books for children requires careful attention to visual consistency, age-appropriate content, and cultural relevance. This skill generates high-quality bilingual picture book content with 18 visual styles and 12 scene types, tailored for ages 3-12.

Publishing content to X requires manual typing or risky auto-posting tools. This skill uses browser automation to prepare tweets and save them to draft, ensuring full user review before any post goes live.

Content creators struggle to consistently produce engaging social media posts. This skill generates viral X (Twitter) content including short tweets, multi-tweet threads, and replies using proven patterns tailored to your personal style.

Creating engaging X (Twitter) content requires thorough research across multiple sources. This skill automates a 4-round web search strategy to collect authoritative, technical, comparative, and verified materials for your posts.

AI memory files grow large and waste input tokens. This skill compresses natural language prose to caveman format, saving 65-75% of tokens while preserving all code, URLs, and technical content.

AI coding agents can produce long responses that cost tokens and money. This skill reads the Claude Code session log and shows exactly how many tokens caveman mode saved, with no AI estimation or guesswork.

Code review feedback is often verbose and repetitive, burying actionable items in polite filler. This skill formats each review finding as a single line with exact location, problem, and fix.

AI coding agents produce verbose responses that increase token costs. This quick-reference card lists all caveman mode triggers, skills, and configuration in one view so you can compress agent output by 65-75 percent.

Large memory files like CLAUDE.md waste tokens on every AI session start. This skill compresses them by about 46 percent while keeping all technical content intact.

Developers spend too much time writing verbose commit messages. This skill generates terse, professional Conventional Commits in under 50 characters while preserving the reasoning behind each change.

AI assistants often produce verbose responses that waste tokens and increase costs. Caveman mode cuts output tokens by 65 to 75 percent while preserving full technical accuracy and code quality.

Long coding sessions exhaust context window when verbose subagent outputs pile up. Cavecrew provides a decision framework for delegating to specialized caveman-style subagents that return compressed output, extending context lifespan by 60% across many delegations.

Research branches pile up and become difficult to manage. This skill automatically detects, merges, and organizes research findings from Claude Code Web sessions into actionable GitHub issues.

React Flow node configuration requires careful attention to handle IDs, edge styles, and resize behavior. This skill provides step-by-step guidance to create consistent, debuggable workflow nodes.

UI polish updates often drift into redesign, changing the character of your work. This skill delivers precise, restrained visual polish that sharpens hierarchy, spacing, and readability while keeping your original design intent completely intact.

Building correct, performant React Flow v12 canvases requires deep knowledge of custom nodes, handles, edges, and viewport management. This skill provides version-specific best practices and a structured review workflow to help developers avoid common pitfalls and produce production-ready workflow UIs.

This skill automates conversion of Pencil design files (.pen) into production-ready frontend code. Designers and developers save hours of manual markup by preserving layout, typography, and visual fidelity from design to code.