Skill UI

This skill helps developers achieve maximum AI readiness by automatically detecting the project stack and seeding context using a single, precise goal sentence. It systematically fills the essential project context (the 6 Ws), requiring the user only to answer the few remaining knowledge gaps (like the 'why' or 'when'). This creates a portable, structured context file, ensuring AI models have a complete understanding of the project before coding, minimizing guesswork and maximizing efficiency.

This skill applies rigorous, F1-inspired standards to software quality assurance. It executes comprehensive test plans, classifies failures across five critical tiers (Brake, Engine, Aero, Tyre, Pit), audits Continuous Integration (CI) signal integrity, and generates detailed WJTTC reports. Use it to validate functionality, reproduce complex bugs, or determine the readiness of a release.

A comprehensive framework for creating structured, clean, and highly accessible design systems. It defines foundational constraints, typography scales, color tokens, and component-level rules, ensuring consistency and usability across engineering and design teams. Focuses on achieving WCAG 2.2 AA compliance and implementation readiness.

Runs `metaharness score` to produce a 5-dimension harness readiness scorecard (harness fit, compile confidence, task coverage, tool safety, memory usefulness) plus per-run cost estimate. Supports CI alert thresholds and degrades gracefully when MetaHarness is unavailable.

This skill guides the planning and review process for complex home or small-lab network changes. It covers creating staged migration plans for VLAN segmentation, implementing local DNS resolvers (like Pi-hole), setting up secure VPN access, and ensuring network safety through detailed inventory checks and rollback procedures. It emphasizes security best practices and trust zoning.

A comprehensive, end-to-end playbook designed for software engineers and AI agents. It provides a structured methodology to safely introduce machine learning capabilities into existing, non-ML codebases. The process covers critical stages: problem framing, data readiness, architectural decoupling (using dedicated APIs/services), baseline model implementation, and final handoff to MLOps practices (CI/CD, monitoring).

Orchestrates the complete, multi-channel launch process for an approved campaign plan. This skill manages all launch dependencies—from pre-launch checklist validation and asset readiness checks (PR, content, creative) to sequential activation across paid ads, organic channels, email automation, and CRM record creation. It ensures a clean, coordinated 'go live' event, coordinating all aspects beyond just paid advertising.

Perform comprehensive, granular SEO audits on a single URL. This tool examines title tags, meta descriptions, content depth, E-E-A-T signals, technical health (Core Web Vitals, canonical tags), and AI search readiness. Ideal for landing page optimization, content auditing, and ensuring compliance with the latest Google guidelines.

Audit an AAAI main technical track submission for OpenReview readiness, double-blind anonymity, page limits, reproducibility checklist, supplementary material, author limits, multiple-submission policy, and AAAI AI-use policy compliance.

Plan an AAAI conference submission end to end: venue fit, abstract and paper deadlines, anonymized PDF and checklist, two-phase review, rebuttal, decision, camera-ready, registration and artifact release. Includes backward-planning gates, a Phase-1 readiness check, risk register and owner map.

This comprehensive guide provides a detailed audit checklist for authors submitting to the AAMAS conference. It covers verifying the correct conference track, maintaining double-blind anonymity, adhering to strict formatting rules (e.g., page limits, supplementary zip caps), and identifying potential submission-blocking risks to ensure readiness before the deadline.

A comprehensive guide for authors targeting ACM SIGACCESS Conference on Computers and Accessibility (ASSETS). This skill helps determine manuscript fit, provides strategies for re-framing work from other disciplines (e.g., journal or arXiv style), and details the required evidence (e.g., community-grounded framing, ethical evaluation) needed to succeed in this specialized venue. Use it for venue selection, scope calibration, and submission readiness checks for accessible technology research.