Skill UI

Maps, explains, and lints repository-scoped coding-agent instruction files such as AGENTS.md, CLAUDE.md, Copilot and Cursor rules. Run local read-only scans to inventory instructions, audit recursive imports, and export JSON or SARIF diagnostics before changing code.

Delegate bounded coding tasks to the Kimi Code CLI, then review and land the diff yourself. The orchestrator writes a brief, dispatches the headless Kimi implementer, awaits completion, verifies the resulting changes, and commits only after gates pass.

A comprehensive index of 46 production-grade test automation skills, covering E2E, unit, mobile, BDD, and cloud testing across 15+ languages. This skill equips AI coding assistants to act as senior QA architects, generating structured, real-world test code for major frameworks like Playwright, Selenium, Cypress, and Jest. It supports project setup, CI/CD integration, and cross-platform debugging.

This skill provides methods for reliably extracting typed, validated, and structured data from Large Language Models (LLMs), moving beyond simple text parsing. It covers best practices across major APIs (OpenAI's response_format, Anthropic's tool_use, Google's responseSchema) and local models. Key workflows include defining schemas (Pydantic/Zod), implementing constrained decoding, and building robust retry loops for production-grade data pipelines.

This skill provides comprehensive guidance for building and debugging user interfaces using Makepad 2.0 widgets. It covers the complete widget catalog including containers, text, buttons, inputs, media, and navigation components. It also includes critical coding rules for layout, styling, and performance optimization to ensure correct UI rendering.

This skill specializes in secure mobile application development, focusing on input validation, WebView security, and mobile-specific security patterns. It covers secure data storage, authentication implementation, and platform-specific vulnerabilities for iOS and Android. Ideal for building security-first mobile apps that protect sensitive data against common attack vectors like injection and man-in-the-middle attacks.

This skill acts as an anti-over-engineering guardrail, instructing AI coding agents to maintain strict scope control and minimalism. It guides the AI to only modify the files and lines explicitly requested by the user, avoiding unnecessary abstractions, unrequested refactors, or scope creep. Use it when you prefer the simplest, most direct solution and want to prevent the agent from 'grinding' the code base.

This skill transforms vague project ideas into eight structured planning documents for new software projects. It acts as persistent memory, prioritizing user instructions over AI assumptions. It generates PRD, TechSpec, Design, and other files sequentially, ensuring clear architecture and design direction before coding begins. Ideal for starting fresh projects from scratch.

This skill allows orchestrators to delegate bounded coding tasks to the OpenCode CLI while retaining review and commit authority. It requires the opencode CLI installed and authenticated, enabling agents to run shell commands and read files for task execution.

Comprehensive guidelines for writing idiomatic and efficient PHP code. Covers modern best practices including type safety, error handling, OOP patterns, and array operations to improve code quality and maintainability.

This skill creates custom Semgrep rules for detecting security vulnerabilities, bug patterns, and code patterns. It guides users through a strict workflow including test-first development, AST analysis, and validation. Ideal for building static analysis detections, enforcing coding standards, and identifying data flow issues using taint mode.

This tool audits the activation metadata of coding skills used by AI agents. It grades skills (A-F) based on description clarity, simulates which skill a prompt will trigger, and identifies metadata collisions where one skill might silently overshadow another. It is essential for ensuring robust, predictable, and reliable AI agent behavior during development and CI processes.