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Found 9,222 Skills
High-performance toolkit for genomic interval analysis in Rust with Python bindings. Use when working with genomic regions, BED files, coverage tracks, overlap detection, tokenization for ML models, or fragment analysis in computational genomics and machine learning applications.
React Native mobile patterns, platform-specific code
Build secure desktop applications with Electron 33, Vite, React, and TypeScript. Covers type-safe IPC via contextBridge, OAuth with custom protocol handlers, native module compatibility (better-sqlite3, electron-store), and electron-builder packaging. Use when building cross-platform desktop apps, implementing OAuth flows in Electron, handling main/renderer process communication, or packaging with code signing. Prevents: NODE_MODULE_VERSION mismatch, hardcoded encryption keys, context isolation bypasses, sandbox conflicts with native modules.
Web UI - glassmorphism, Tailwind, dark mode, accessibility
Identify differences between current state and desired future state. Analyze gaps in capabilities, processes, skills, and technology to plan improvements and investments.
Manage DNS records, routing policies, and failover configurations for high availability and disaster recovery.
Compare two security audit reports to track remediation progress and identify new vulnerabilities.
Optimize end-to-end application performance with profiling, observability, and backend/frontend tuning. Use when coordinating performance optimization across the stack.
Design and build AI agents for any domain. Use when users: (1) ask to "create an agent", "build an assistant", or "design an AI system" (2) want to understand agent architecture, agentic patterns, or autonomous AI (3) need help with capabilities, subagents, planning, or skill mechanisms (4) ask about Claude Code, Cursor, or similar agent internals (5) want to build agents for business, research, creative, or operational tasks Keywords: agent, assistant, autonomous, workflow, tool use, multi-step, orchestration
Master LLM-as-a-Judge evaluation techniques including direct scoring, pairwise comparison, rubric generation, and bias mitigation. Use when building evaluation systems, comparing model outputs, or establishing quality standards for AI-generated content.
HarmonyOS application development expert. Use when building HarmonyOS apps with ArkTS, ArkUI, Stage model, and distributed capabilities. Covers HarmonyOS NEXT (API 12+) best practices.
Use when planning comprehensive Liquid Glass adoption across an app, auditing existing interfaces for Liquid Glass compatibility, implementing app icon updates, or understanding platform-specific Liquid Glass behavior - comprehensive reference guide covering all aspects of Liquid Glass adoption from WWDC 2025