Skill UI

Build features guided by data insights, A/B testing, and continuous measurement using specialized agents for analysis, implementation, and experimentation. This skill provides a structured workflow from exploratory data analysis and hypothesis formation to feature implementation with integrated analytics, A/B testing infrastructure, and post-launch analysis.

A comprehensive, end-to-end workflow bundle guiding developers through the entire software development lifecycle. It covers project scaffolding, frontend development (React/Next.js), robust backend architecture, database design, rigorous testing (TDD, E2E), code quality review, and modern CI/CD deployment practices for web and mobile applications.

This guide details the comprehensive workflow for distributing a single AI skill across various local agent skill directories (Codex, Claude, Pi, Hermes). It addresses canonical locations, symlink management, and specific synchronization commands to ensure that all agents detect the latest skill version while correctly navigating common development pitfalls.

Set up comprehensive debugging environments, distributed tracing, and diagnostic tools for development and production. Configure tracing, logging standards, and troubleshooting workflows to diagnose multi-service issues efficiently.

Specialist in reducing developer friction, automating repetitive tasks, and improving development workflows. Analyzes current setup, identifies pain points, and implements incremental improvements to tooling, scripts, documentation, and IDE configuration. Use for onboarding, build/test feedback, and repeatable scripts.

This guide provides a comprehensive reference on Agent Skills, a standardized and powerful method for providing structured context, workflows, and tools to Large Language Models (LLMs). It details the anatomy of the SKILL.md file, the three-stage progressive disclosure loading process, and best practices for creating both capability (tool-based) and process (workflow-based) primitives. Use this resource when designing, reviewing, or debugging agent-driven applications to ensure reliable and context-efficient performance.

Agent-native knowledge compiler for embodied-AI development. Consults, searches, and verifies a typed graph of papers, ROS packages, models, datasets, and benchmarks to assemble grounded, source-linked implementation workflows and capabilities.

This skill enables deploying Expo applications to production using Expo Application Services (EAS). It covers building and submitting apps to iOS App Store, Google Play, and TestFlight. Users can configure build profiles, manage version numbers, and publish metadata. Additionally, it supports deploying web bundles and API routes via EAS Hosting, facilitating CI/CD automation for cross-platform mobile development workflows.

FAF Expert is an advanced tool for creating standardized, persistent context for complex software projects. It uses the IANA-registered FAF format to transform codebases into AI-intelligent assets. Use it for multi-AI workflow management (Claude, Gemini, etc.), enterprise-grade deployment, and standardizing project context across development lifecycles.

This skill guides users on setting up automated code quality gates directly at the Git level. It covers best practices using frameworks like Husky, lint-staged, and pre-commit. Users can enforce linting, formatting, type-checking, and standardized commit message conventions (e.g., Conventional Commits) before code is committed or pushed, significantly improving code hygiene and development workflow consistency.

Automate software development workflows including build, test, and deployment directly within GitHub repositories. Configure CI/CD pipelines, manage secrets, cache dependencies, and utilize reusable workflows for efficient DevOps practices. Requires understanding of YAML and platform CLIs.

This skill provides patterns for automating GitHub workflows with AI assistance. It helps in automating PR reviews, setting up issue triage, creating GitHub Actions workflows, and integrating AI into CI/CD pipelines. It also covers automating Git operations like rebases and cherry-picks. Inspired by modern DevOps practices and tools like Gemini CLI, this skill streamlines development processes and reduces manual effort in repository management.