Skill UI

Guides teams through a final launch-readiness checklist covering code quality, security, performance, documentation, feature flags, staged rollouts, and monitoring to ensure confident production deployments.

High-pressure agent protocol that enforces PUA-style narration, tiered role detection, owner mindset rules, and escalation checklists so delivery agents stay proactive and performance-driven.

A comprehensive workflow for the full lifecycle management of AI skills. This tool guides users through creating skills from scratch, modifying existing ones, and rigorously benchmarking performance. It supports iterative refinement, quantitative evaluation, and optimizing skill descriptions for maximum triggering accuracy.

A systematic methodology for initiating projects, features, or major changes. It mandates creating a detailed, structured specification (spec) before writing any code, ensuring all assumptions are surfaced and vague requirements are translated into measurable success criteria. This process involves four validated phases: Specify, Plan, Tasks, and Implement, guaranteeing alignment between the human team and the development process.

Guides zero-to-live Star Office visualization for Aion/OpenClaw by installing, starting, connecting, and troubleshooting the local UI service, checking ports/auth, and offering alternative open-source monitors when needed.

Generates Stitch-friendly DESIGN.md blueprints that encode premium anti-slop UI rules—color calibration, typography, layouts, motion, and component behaviors—so agents can produce high-agency screens for Google Stitch.

Command-line helper that pulls in URLs, local files, transcripts, podcasts, and YouTube links to deliver concise summaries or transcripts, with provider models and fetch fallbacks configurable for any workflow.

Automatically orchestrates 1-3 available skills into a cohesive, emotionally resonant deliverable whenever the user asks for “surprise me,” inspiration, or something unexpected, prioritizing visual flair and playful storytelling.

Test-driven development requires writing a failing test before any implementation so logic, bug fixes, and behavioral changes are always backed by proof; it is ideal for guarding refactors and ensuring regressions stay caught by the automated suite.

This meta-skill provides a comprehensive guide to the entire software development lifecycle, mirroring the systematic processes used by senior engineers. It covers everything from initial idea refinement and specification to incremental implementation, testing, code review, and deployment. Use it to ensure all best practices and critical checks are performed at every stage of development.

Deploy applications or static sites to Vercel instantly via a script that packages your project, auto-detects frameworks, uploads artifacts, and returns preview and claim URLs without requiring authentication.

This skill creates high-quality videos from structured JSON prompts and optional reference images, then runs the prescribed Python script to produce MP4 output tailored to the requested scene, style, and technical specs.