Skill UI

This skill guides developers through creating a comprehensive refactoring plan and serving as a Request for Comments (RFC). It orchestrates detailed interviews, codebase analysis, and scope definition. It ensures the refactor is broken down into tiny, safe, incremental commits, culminating in a structured GitHub issue that serves as a definitive architectural and technical decision document.

This guide details how to implement robust pre-commit hooks using Husky, lint-staged, and Prettier. It ensures that code is automatically formatted, type-checked, and tested before being committed. This process is essential for maintaining consistent code quality and standardized development practices across a team.

Implement comprehensive automated policy enforcement for Shopify apps, ensuring security and adherence to App Store guidelines. This skill includes ESLint rules for detecting hardcoded API secrets, enforcing GraphQL query cost budgets, and running pre-commit hooks and CI checks for critical compliance validations (e.g., GDPR webhooks). Use it when hardening a production-ready Shopify application.

This skill is designed for tackling complex, multi-step software development tasks. It generates highly detailed, structured implementation plans that strictly adhere to best practices like TDD, YAGNI, and DRY. The plan breaks down features into small, atomic, executable tasks, specifying required file changes, writing initial failing tests, implementing minimum necessary code, and committing. It ensures the resulting plan is ready for efficient, autonomous execution by AI agents or human teams.

This tool assists engineers in transforming vague work logs into structured, evidence-backed impact statements for professional documentation. It uniquely mines Copilot CLI session logs, git commits, and GitHub PRs to reconstruct forgotten work. It enforces a mandatory 'Action → Result → Evidence' impact contract, making it indispensable for preparing performance reviews, promotion packets, and self-assessments.

This skill automates the end-to-end release workflow for GitHub libraries, managing everything from version bumping (SemVer) to generating detailed changelogs. It analyzes code diffs and commit history using only the GitHub CLI and Git, streamlining the process of publishing new, stable versions and opening release PRs.

This skill analyzes the comprehensive commit history between two branches to generate a concise, objective, and highly structured Pull Request (PR) description. It automatically groups changes by domain, summarizing the purpose, technical notes, and user impact, ensuring consistency and minimizing manual documentation effort.

This skill analyzes raw git diffs or change descriptions to generate clear, story-driven commit messages. It strictly adheres to the Conventional Commits specification, ensuring that messages thoroughly explain *why* a change was made, not just *what* changed. It is ideal for writing meaningful commit history, preparing pull requests, or summarizing complex code changes for team collaboration.

An expert playbook detailing advanced techniques for Linux kernel exploitation. Covers vulnerability classes (UAF, OOB, Race Condition), building primitives, bypassing modern mitigations (KASLR, SMEP, SMAP, KPTI), and achieving root privilege escalation via functions like commit_creds or modprobe_path overwrite. Essential for CTF and advanced security research.

This mandatory review process simulates a CTO interrogation, pressure-testing major architectural and engineering decisions. It forces teams to systematically address critical areas including scaling cliffs, accrued technical debt, team growth models, build vs. buy Total Cost of Ownership (TCO), reliability Service Level Objectives (SLOs), and security compliance. Use this before major commits to surface potential risks.

A throughput-first interrogation tool simulating a VP of Engineering review. It pressure-tests major organizational plans—including delivery commitments, hiring expansion, team structure changes, and production discipline updates—across six critical dimensions: DORA metrics, cycle time analysis, funnel health, team scaling, and operational maturity. Ensures engineering processes are robust before major commitments.

This skill generates structured and standardized Git commit messages following the Conventional Commits specification. By analyzing code changes (via diff or status), it helps developers automatically create clear, actionable, and searchable commit history messages, ensuring consistency across the project.