Skill UI

This meta-skill acts as a watchdog for long-running processes, such as CI image builds or overnight model fine-tunes. It utilizes a sub-agent to continuously monitor the output via tmux, automatically diagnose failures, propose corrective fixes, and persist the entire resolution process to memory. It is designed for robust, automated debugging of complex system tasks.

This meta-skill orchestrates a comprehensive research pipeline for sales professionals. It accepts initial lead requests and systematically performs web searches, reviews public source evidence, and drafts actionable materials. The final output includes a detailed account brief, pain hypotheses, stakeholder maps, personalized outreach emails, and discovery call questions, enabling deep preparation before any sales interaction.

This meta-skill processes an entire Excel workbook to extract deep business insights. It systematically reads all data, performs structured trend and anomaly analysis, writes the comprehensive results back into a dedicated 'Insights' sheet, and permanently stores key performance indicators (KPIs) in long-term memory. Ideal for detailed business review and data deep-dives.

This skill automates the transformation of high-level product specifications (PRDs) or feature specs stored in Notion into an actionable development lifecycle. It systematically parses requirements, generates structured implementation plans, breaks down complex needs into manageable, linked tasks, and facilitates continuous progress tracking, ensuring all development artifacts remain synchronized with the original spec.

This guide provides comprehensive details on the OpenPitrix application management system within KubeSphere. It covers the entire application lifecycle, including managing app repositories (Repo), uploading and versioning templates (Application/ApplicationVersion), conducting review processes, and finally deploying/upgrading applications (ApplicationRelease). Use this skill when troubleshooting App Store interactions, understanding KubeSphere's backend APIs, or managing deployed workloads.

This tool assists researchers in structuring complex academic papers by systematically mapping specific claims within designated sections (Introduction, Method, Results, Discussion) to available BibTeX citation keys. By planning citations beforehand, users can ensure proper citation density, maintain structural integrity, and guarantee that every critical claim is adequately supported according to the paper's required style and focus.

An internal tool designed to validate candidate meta-skills (SKILL.md) before they are registered in the system. It performs comprehensive linting checks, including structural validation (G1: parsing, reference checks, XML escaping) and a scheduler dry-run (G2) using stub executors, ensuring the skill is deterministic and functional. Output diagnostics in JSON format.

This skill automates the migration of existing frontend code (including React, Vue, Angular, and Next.js components) into a structured Stitch Design. It orchestrates the extraction of a self-contained HTML file, analyzes the source code to build a comprehensive design system document, and finally uploads both assets into your Stitch project for iteration and improvement.

Analyzes any frontend codebase (React, Vue, Svelte, Angular, plain CSS, Tailwind) to document the complete design system. It extracts crucial visual elements—including color palettes, typography, spacing scales, and component patterns—directly from source files, without needing to build, render, or run the application. Ideal for design audits, visual language documentation, or migrating a project's identity into a design tool.

Manages the entire lifecycle of design systems within the Stitch platform. This powerful skill allows users to retrieve project assets, synthesize design tokens (DESIGN.md) from existing screens or descriptions, create/update the system in Stitch, and finally apply these tokens consistently across multiple screens to ensure a unified and scalable brand language.

This skill enables the upload of various local assets, including images (PNG, JPG, WEBP), extracted HTML, and design markdown files, directly to a designated Stitch project. Crucially, it bypasses the token limits associated with standard MCP tool calls by using a dedicated HTTP upload script. Use this when visual assets or large design documentation need to be integrated into your Stitch design system.

This workflow systematically analyzes deployed AWS resources and Infrastructure-as-Code (IaC) definitions. It collects usage metrics from CloudWatch and Cost Explorer to identify over-provisioning, unused resources, and inefficient configurations (e.g., right-sizing EC2, S3 lifecycle policies). It generates actionable cost optimization recommendations and creates structured GitHub issues for tracking and implementing savings.