Discover Agent Skills for collaboration tools. Browse 30 skills for Claude, ChatGPT & Codex.
Lists and filters OpenShift OCPBUGS components by team to streamline bug reporting and issue tracking.
Generates comprehensive summary statistics and component-level breakdowns for JIRA bug backlogs to track project health and velocity.
Retrieves comprehensive raw JIRA bug data and metadata for specific projects using the JIRA REST API.
Provides a comprehensive overview of engineering teams, including their associated OCPBUGS components, repositories, and communication channels.
Retrieves OpenShift release timelines and General Availability (GA) metadata directly from the Sippy API.
Provides brutally honest, pragmatically-driven code reviews inspired by Linus Torvalds' engineering principles.
Provides actionable feedback on pull requests by analyzing code style, readability, security vulnerabilities, and test quality.
Manages GitLab repositories, merge requests, and API interactions using secure token-based authentication.
Manages GitHub repositories, pull requests, issues, and workflows directly through the GitHub API and CLI.
Ensures accurate, evidence-based AI responses by enforcing strict certainty tagging and source verification during code analysis.
Standardizes the software development lifecycle by creating, reviewing, and managing comprehensive technical specifications before implementation.
Drafts structured user stories and technical requirements following the INVEST framework in Traditional Chinese.
Generates standardized Git commit messages based on the Conventional Commits specification in Simplified Chinese.
Ensures accurate, evidence-based AI responses by implementing standardized certainty tagging and source referencing protocols.
Conducts systematic, language-agnostic code reviews using standardized checklists and severity-based comment prefixes to ensure high-quality pull requests.
Automates Bitbucket repository management, Git workflows, and pull request orchestration using the Bitbucket API.
Generates high-quality user stories and requirement documents following the INVEST criteria to ensure project clarity.
Performs systematic code reviews using standardized checklists and severity-based comment prefixes to ensure high-quality software delivery.
Standardizes AI interactions through evidence-based certainty labeling and anti-hallucination protocols for software development.
Enforces clean code principles, consistent naming conventions, and robust error handling patterns for PACT-based development.
Standardizes task reporting and progress monitoring for agentic workflows within the PACT framework.
Generates high-quality user stories and technical requirements using the INVEST framework to ensure project clarity and testability.
Conducts systematic, high-quality code reviews using standardized checklists and severity-based feedback prefixes.
Automates comprehensive code reviews and merge gate assessments using AI-driven Codex analysis.
Conducts systematic, high-confidence code reviews using a structured multi-dimensional evaluation process to ensure software quality.
Establishes a standardized framework for AI-generated code annotations, decision records, and context preservation breadcrumbs.
Facilitates structured Behavior-Driven Development sessions to align developers, testers, and business stakeholders on software requirements.
Extracts requirements, decisions, and action items from meeting transcripts using specialized conversational pattern recognition.
Automates the creation of production-ready User Stories in Linear with full documentation and INVEST validation.
Reviews completed development tasks independently to ensure architectural integrity, test coverage, and code quality before finalization.
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