Skill UI

Create or audit ECL Agent Harness infrastructure: AGENTS.md, change tracking, repository guidance, lint checks, CI gates, and agent handoff docs. Ensures AI agents can work reliably in a codebase.

Step-by-step guidance for setting up complete development environments, including installing tools, configuring dependencies, environment variables, and verifying installations. Useful for new projects, onboarding, or troubleshooting environment issues.

This skill provides guidance on implementing robust error handling strategies to build highly resilient applications. It covers advanced patterns such as circuit breakers, retries, and handling asynchronous errors, ensuring that the application fails gracefully and provides excellent debugging experiences for both developers and end-users.

Provides comprehensive guidance on building robust evaluation frameworks for complex agent systems. It addresses the inherent challenges of non-determinism and multiple valid paths, enabling systematic performance testing, validating context engineering choices, and measuring continuous improvements across multiple quality dimensions (e.g., factual accuracy, tool efficiency).

This skill provides curated guidance for building high-performance animations in Expo and React Native. It covers hard rules for animation necessity, tool selection like Reanimated 4, and performance optimization for real devices. Use this when implementing motion that survives strict reviews on actual hardware, focusing on worklets, UI runtime, and gesture handling.

Provide guidance and patterns for text-to-speech and speech-to-text using fal.ai audio models, suitable for converting text to natural speech or transcribing audio to text in various applications.

Generate workflow JSON files for chaining AI models. This skill provides guidance and patterns for creating structured workflows that link multiple AI models in sequence, enabling complex multi-step AI pipelines.

This skill provides guidance and patterns for performing web fuzzing using the ffuf tool. It helps identify potential vulnerabilities and test web applications by sending crafted requests. Suitable for security testing and development validation.

This skill provides expert guidance for using ffuf during authorized web penetration testing. It covers authenticated fuzzing, raw requests, auto-calibration, and result analysis. Users must confirm authorization before probing targets. It helps with content discovery, subdomain enumeration, and parameter fuzzing efficiently while ensuring safety protocols are followed.

This skill helps developers create highly focused, folder-specific documentation (`CLAUDE.md` and `AGENTS.md`). It systematically analyzes all files in a target directory to extract project purpose, operational constraints, naming conventions, and critical decisions. This deep context ensures that future AI agents (like Claude or Codex) operate with localized knowledge, preventing them from relying on global, generalized instructions and improving their accuracy in that specific domain.

This skill provides a quick reference for fp-ts types in TypeScript. It helps users decide between Option, Either, Task, and TaskEither types based on whether operations are async or involve errors. It includes common imports, one-line patterns for wrapping nullable values, and pattern matching examples. Ideal for developers needing type selection guidance or import statements for functional programming tasks.

Expert in secure frontend coding practices specializing in XSS prevention, output sanitization, and client-side security patterns. Provides guidance on CSP configuration, safe DOM manipulation, input validation, clickjacking protection, and secure redirects.