Skill UI

This skill provides a structured framework for managing complex, multi-agent development tasks. It treats agents as a collaborative team, utilizing structured work items, defined ownership, Agent Kanban boards, and explicit merge gates. This ensures that large-scale, multi-tool, or cross-branch development efforts are predictable, highly visible, and result in reliably mergeable, production-ready artifacts.

This skill guides users through evidence-based terminal operations. It is designed for scenarios requiring direct command execution, Git status checks, debugging CI/build failures, and pushing narrow, verified fixes. It emphasizes following a structured, minimal-scope workflow and accurately reporting the repository's current state (e.g., local changes vs. pushed code).

Tree Ring Memory is a local-first, framework-agnostic layer for managing durable knowledge in AI agents. It provides structured methods for recalling past decisions, recording evidence, auditing project state, and deliberately forgetting information, ensuring the core project memory remains clean and actionable without relying on raw conversation transcripts.

This powerful tool utilizes Playwright to record high-quality, professional web application demo videos. It simulates natural user interactions, injecting a visible cursor overlay and adhering to specific pacing guidelines. It is ideal for creating comprehensive tutorials, feature walk-throughs, or documentation for stakeholders.

This tool automatically converts design screenshots or visual exports into structured, functional Vue 3 Composition API components. It supports popular UI libraries like Vant, Element Plus, and Ant Design Vue. By batch converting screenshots, it streamlines the development process from raw design assets to reusable, production-ready code, significantly boosting frontend development efficiency.

A comprehensive, multi-stage skill designed to simulate a professional Continuous Integration (CI) pipeline. It guides users through critical quality gates, including build verification, type checking, linting, running test suites (with coverage checks), security scanning for secrets, and final diff review. Use this skill before creating a Pull Request or finalizing any significant feature to ensure code robustness and adherence to best practices.

This tool provides access to a community gallery for WebAssembly (WASM) agents. Users can browse available agents, search for specific functionality, install pre-built agents, publish their own creations, or export agents for sharing. It streamlines the entire lifecycle of WASM agent development and deployment.

A comprehensive framework for performing end-to-end (E2E) testing on various Windows native desktop applications. It utilizes pywinauto and the Windows UI Automation (UIA) API, supporting major frameworks including WPF, WinForms, Win32/MFC, UWP, and Qt. This skill helps automate complex GUI interactions, making it ideal for CI/CD integration and building robust desktop test suites.

The Witness toolkit provides cryptographic capabilities to sign, verify, and track documented code fixes (or 'markers') across multiple releases. It generates a signed manifest and a temporal history log, allowing users to precisely pinpoint the exact commit that introduced a regression, ensuring code stability in CI/CD pipelines.

This skill provides comprehensive integration with the X (Twitter) API, enabling users to programmatically post, read, search, and analyze tweets and timelines. It covers essential authentication patterns (OAuth 2.0 and OAuth 1.0a), rate limit handling, and best practices for building robust X integrations and bots.

This skill reviews a single Markdown troubleshooting note to assess its clarity and completeness. It is designed to identify unclear steps, missing prerequisites, or unverifiable claims within a provided note. Use it when a user asks for feedback to improve an existing troubleshooting document. It provides concise, actionable rewrite suggestions without making any external changes or edits.

This example demonstrates unsafe or malicious review data inputs, specifically designed for calibration and security testing. It simulates prompt injection attacks and must only be used in controlled environments to validate secure data processing and system robustness.