Skill UI

Checks website, GitHub, and local docs to identify messaging inconsistencies and captures version, feature, terminology, and contact differences in a read-only discrepancy report whenever a consistency check is requested.

Automates building and evaluating classification models by analyzing datasets, selecting features, tuning hyperparameters, and reporting metrics via the classification-model-builder plugin for supervised learning requests.

Manages branching strategies, conventional commits, PR checklists, and daily Git commands so you stay disciplined when creating features, resolving conflicts, and collaborating through pull requests.

Orchestrates multiple agents for complex workflows, decomposing feature, review, refactor, test, or documentation requests into parallel subtasks tracked via cc-mirror and TodoWrite for live visibility.

This workflow guides developers through the systematic process of requesting and acting upon code reviews. It emphasizes the core principle of reviewing early and often, providing structured inputs (commits, requirements, implemented features) via a subagent to catch technical issues, ensure compliance with requirements, and maintain high code quality before merging.

Explains when to call the code-reviewer subagent, how to collect SHAs, fill the template, and act on its feedback so every task, feature, or merge meets quality expectations.

Guides penetration testers through identifying SSRF-prone features, calling cloud metadata endpoints, internal scanning, and filter bypass techniques for safely validating SSRF flaws during authorized assessments.

This tool analyzes specification files to extract all defined requirements and cross-references them with the current codebase implementation status. It systematically checks for unimplemented features, searches existing GitHub issues to prevent duplicates, and automatically generates detailed issues using a standardized feature request template. It is essential for robust product management, ensuring every defined requirement is tracked and scheduled for development.

The comprehensive command-line interface (CLI) for interacting with all major features of GitHub. This tool allows developers to manage repositories, create and review pull requests, track issues, utilize Codespaces, and perform advanced organizational tasks—all directly from the terminal. It is essential for streamlining DevOps workflows and automating GitHub operations.

This skill provides comprehensive capabilities for managing the entire issue lifecycle on GitHub. Users can create structured bug reports, feature requests, and tasks, and also read, list, and update existing issues. It supports setting labels, assigning owners, managing milestones, and tracking complex dependencies. Ideal for engineering teams needing robust project backlog management.

Guides product managers through turning an Epic or feature request into a detailed PRD—with goal, personas, stories, requirements, and acceptance criteria ready for engineers.

Automates creating a single GitHub feature issue from a specification file, checking existing issues first, filling title/description/labels per feature_request.yml, and including only spec-mandated changes.