Skill UI

This skill applies a rigorous, evidence-first discipline to coding tasks, inspired by Fable-like best practices. It guides agents through a structured workflow: inspecting the workspace, tracking goals and findings, grounding all conclusions in verifiable evidence, and executing thorough verification gates before declaring completion. Ideal for complex development, debugging, or adapting cross-model prompt guidance into robust, verifiable project rules.

This skill operates on two layers: the THINK layer enforces rigorous coding discipline (simplicity, surgical changes, goal-driven execution), and the SPEAK layer compresses prose output (caveman/classical modes) for maximum token efficiency. Use it when brevity is explicitly requested or when disciplined, high-precision code generation is required.

This skill provides a highly rigorous framework for analyzing complex public issues, platform governance, and institutional compliance. It is designed to structure evidence boundaries, assess procedural justice, and track public commitments by synthesizing source ledgers and multiple data points. It is intended as a specialized sub-routine triggered by the main CrossFrame suite, not for standalone use. Key focus areas include source verification, identifying weak signals, and mitigating AI compliance performance risks.

A sophisticated automated loop that uses vision or video models to evaluate subjective aesthetic quality (e.g., timing, color grade, layout). Instead of relying on numeric metrics, the system renders multiple parameterized variants into one artifact, asks the AI to rate them, and suggests optimal values, repeating the process until convergence. Ideal for design iteration where human judgment is the primary success criteria.

A powerful utility that queries multiple free APIs (Pexels, Pixabay, Internet Archive, etc.) in a single query. It retrieves normalized, license-tagged results for real-world, historical, or archival images, videos, and GIFs, making it a peer to local semantic search and generative media tools. Includes specialized scripts for fetching and judging audio.

Implements a robust, four-stage coding discipline (Plan, Isolate, Test First, Double Review) to prevent premature code delivery. This skill forces the AI to structure complex tasks by planning, implementing in isolation, writing tests first, and performing deep self-review, significantly improving code correctness and quality.

This skill generates a comprehensive, safe, and zero-downtime database migration plan for schema changes. It utilizes the industry-standard expand/contract pattern to ensure backward compatibility, detailing multiple phased steps (Expand, Backfill, Contract), necessary SQL scripts, robust rollback procedures, and detailed deployment runbooks. Essential for maintaining application availability during large-scale database updates.

This advanced skill provides highly structured and actionable feedback on any digital or physical design. It applies professional UX frameworks, including Nielsen's Heuristics, Gestalt principles, and Jobs-to-be-Done (JTBD), to evaluate usability, identify critical issues, and provide prioritized, specific recommendations. Ideal for reviewing wireframes, UI screens, user flows, and assessing product completeness.

Runs a comprehensive, systematic QA check on Figma designs to ensure they are production-ready before handing off to engineering. The checklist rigorously evaluates file hygiene, component consistency, accessibility (WCAG AA), content completeness, and overall readiness across multiple platforms (iOS/Android/Web). Use this skill when needing to validate a design’s quality and structure to prevent costly development rework.

This tool conducts structured reviews of various Infrastructure-as-Code (IaC) tools (e.g., Terraform, Pulumi) across multiple cloud providers. It generates an actionable report that categorizes findings by severity (Critical, High, Medium, Low), providing detailed remediation steps and a reusable best-practice checklist for continuous security, compliance, and operational auditing.

This advanced skill downloads Instagram posts, carousels, and Reels at their original, high resolution directly from the CDN. It supports batch processing of multiple URLs, automatically creates organized folders for each post, and stitches multi-slide carousels into a single PDF file, making content archiving and aggregation seamless.

This skill synthesizes user signals gathered from diverse sources—such as interviews, support tickets, NPS verbatims, app reviews, and sales calls—into a single, weighted, and comprehensive insight brief. It moves beyond surface-level feature requests to surface the core underlying user needs, identifies contradictions (divergence), and assigns confidence ratings based on source diversity and weight. Ideal for product managers and UX researchers needing to reconcile complex, mixed data sets.