Skill UI

This skill outlines a highly rigorous, receipt-driven workflow for managing defects and implementing code corrections. It guides public collaboration by enforcing strict controls over change authority, ensuring comprehensive lineage tracking, and mandating evidence-based validation. Key steps include CodeGraph impact mapping, black-box testing, and adherence to strict change budgets, ensuring every deployed change is fully traceable and robust.

Plan commits and PRs as reviewable work units instead of file-type chunks. Covers splitting rules, work-unit checklists, doc/test co-location, and chained PR strategies for healthy review load.

This skill provides a strategic framework for content creation within the AI Agent vertical. It emphasizes hands-on product testing, translating complex technical concepts for general audiences, community-driven distribution, and practical tutorials. Ideal for tech media creators, AI product reviewers, and content strategists aiming to build authority in the AI Agent space through verified experience and clear communication.

Reviews a pull request and posts one consolidated GitHub review with inline comments via the gh CLI. Runs the repo's own checks first, verifies external claims against official docs, then reports correctness, security, and structural findings—each backed by evidence and gated for noise.

Sweeps googleapis/mcp-toolbox for issues and PRs with no real activity in N days, classifies each silence as the author's, maintainer's, or nobody's, and drafts nudge or close comments for maintainer review only.

This skill implements spec-driven feature work by freezing obligations before planning. It uses a human-reviewed plan with EARS criteria, paths, and entities, followed by proof-backed checks and an independent Verifier. Use when asked to plan features, write checks, or verify work. It prevents requirement drift by ensuring tests assert claims rather than implementation details.

This skill covers essential framework patterns for modern Ruby on Rails applications (Rails 7.1+ and 8.x). It includes directory contracts, skinny controllers, service objects, form objects, query objects, background jobs, ViewComponent, Hotwire, and the Rails 8 Solid stack. Use this when building or reviewing Rails apps, controllers, models, services, jobs, or views to ensure maintainability and best practices.

A rigorous multi-pass editor for law review articles, student notes, seminar papers, and other legal scholarship. It runs six specialized passes covering structure, substantive critique, Bluebook citations, grammar, fact-checking, and synthesis, delivering a prioritized editorial memo. Handles articles of any length via intelligent chunking and reads .docx directly.

This skill helps legal teams evaluate and classify legal risks using a severity and likelihood matrix. It calculates risk scores to determine appropriate actions, from monitoring low risks to escalating critical issues to senior counsel. Useful for contract review, deal exposure analysis, and compliance management.

This tool builds compliance checklists for business scenarios involving GDPR, PIPL, or advertising laws. It identifies applicable regulations, generates structured check items, labels risk levels, and provides actionable remediation recommendations. Users describe their business scenario to get a complete compliance review.

Turn a plain "implement X for me" request into a working artifact: build a running end-to-end spine first, then add one feature per rung, recording every under-determined decision in an assumption ledger before its dependent code, with cross-model review to catch the rest.

Design AI agent architectures through requirements discovery, or audit and diagnose architectural flaws in existing agents. Architecture only; excludes implementation and general code review. Deliver justified decisions, verification methods, PDF reports, and visualizations.