Skill UI

A specialized quality gate skill designed to review complex, multi-source outputs generated by the CrossFrame framework. It rigorously checks reasoning fidelity, evidence boundaries, source anchors, and structural continuity. Use this when advanced verification of logical rigor and source integrity is required, ensuring outputs meet strict internal protocols and avoid common structural failures.

This skill provides production-tested patterns for building AI agents that autonomously discover, evaluate, and acquire token listings for cryptocurrency exchanges. It covers systematic crypto business development, including multi-chain scanning, token scoring systems, wallet forensics for safety verification, and managing outreach pipelines with human oversight. Built from real-world experience, it teaches LLM cascade patterns and on-chain identity registration.

Generates containerization, CI/CD pipelines, environment configuration, IaC, observability, and deployment verification for finished code.

This skill teaches the critical principles and decision-making processes for safe production releases. It covers platform selection (e.g., Kubernetes, Vercel), mandatory pre-deployment verification (Code Quality, Environment), structured workflows (Prepare, Backup, Deploy, Verify), and advanced strategies like Blue-Green and Canary deployments. Focuses on thinking through risk mitigation, not just executing scripts.

This skill reviews generated or changed documentation before release, verifying claims against source code to prevent hallucinations. It checks API references, docstrings, and code samples for accuracy. Use it reactively after documentation updates or proactively before writing to ensure technical correctness and version alignment.

Orchestrates a multi-stage fact-checking workflow: capture multi-platform answers, compare knowledge points, perform authoritative verification, and deliver auditable HTML reports with evidence boundaries and per-platform verdicts.

Automates installation, configuration, verification, repair, update, and uninstallation of Hyprland on Fedora Linux, with GPU-aware detection for NVIDIA, AMD, and Intel. Includes safety measures like backups and explicit user consent.

This skill orchestrates full-stack feature development across backend, frontend, and infrastructure layers using an API-first approach. It guides users through architecture design, parallel implementation, and integration testing phases, ensuring cohesive system delivery with modern best practices and verification steps.

Automate GitHub operations like issues, pull requests, branches, and workflows using Rube MCP. Ensures repository policy compliance and safe programmatic changes. Ideal for CI/CD integration and repository maintenance tasks requiring strict access control and verification.

This advanced workflow is designed to generate comprehensive, fact-checked research reports on any complex topic. It systematically performs fan-out web searches across multiple defined angles, fetches multiple sources, and employs a rigorous adversarial verification system (3-vote) to validate claims. The final output is a highly cited, synthesized report, ideal for academic or critical business research.

Read and edit Google Docs through an available authenticated connector or reviewed API integration, with scoped changes and read-back verification. This skill provides instructions for safe document operations, including reading structure, applying targeted edits, and verifying results. It emphasizes authorization, revision preconditions, and avoiding duplicate inserts. Suitable for users who need to automate document content updates while maintaining data integrity and security.

Read and edit Google Slides through authenticated connectors or reviewed API integrations, applying scoped changes with read-back verification to keep presentations accurate and avoid overwriting collaborator work.