Discover Agent Skills for collaboration tools. Browse 30skills for Claude, ChatGPT & Codex.
Processes code review feedback with technical rigor by prioritizing verification and clarity over performative agreement.
Streamlines agile implementation workflows by automating sprint planning, epic breakdown, and velocity tracking.
Generates comprehensive product requirements documents and technical specifications to bridge the gap between vision and development.
Automates the creation and formatting of GitHub pull requests following repository-specific standards and commit styles.
Optimizes GitLab development workflows by translating GitHub patterns into native glab CLI commands and Merge Request management.
Translates user stories and requirements into clean, tested, and maintainable production-grade code.
Provides a critical second opinion on code changes by integrating OpenAI Codex with structured evaluation and categorization.
Automates comprehensive code analysis to ensure high standards of security, performance, and architectural integrity.
Automates AI-powered code reviews to identify race conditions, memory leaks, and security vulnerabilities directly within Claude Code.
Generates detailed, reviewer-ready code review documentation from git diffs with business logic analysis and risk assessments.
Implements a rigorous, verification-first approach to processing code review feedback by prioritizing technical correctness over performative agreement.
Fetches and organizes unresolved GitHub pull request review comments to streamline the code review feedback loop.
Analyzes technical specifications through expert architectural lenses to identify risks, gaps, and missing considerations.
Conducts professional code reviews on pull requests using personalized style and technical precision.
Generates professional, standardized Pull Requests by analyzing branch differences and project-specific templates.
Adapts technical communication styles for engineers, product managers, executives, and customers to ensure project alignment.
Automates the complete lifecycle of solving software issues by fetching context, planning changes, and submitting pull requests for GitHub, Linear, and GitLab.
Facilitates professional collaboration between AI and Business Analysts to produce high-quality user stories and acceptance criteria.
Automates the creation of standardized, high-quality Pull Requests for Blocklet projects with integrated quality gates and versioning.
Manages Linear issues, projects, and team backlogs through streamlined terminal-based workflows.
Optimizes GitHub interactions by leveraging the gh CLI for repository management, pull requests, and CI/CD monitoring.
Synchronizes pull request and merge request descriptions with the latest code changes to ensure documentation matches current implementation.
Streamlines meeting preparation by synthesizing Notion context, specialized templates, and AI-driven industry research into actionable agendas.
Visualizes user journeys and organizes requirements into actionable release slices using Jeff Patton's User Story Mapping technique.
Manages GitLab merge requests via the glab CLI to streamline code reviews, branch management, and team collaboration.
Optimizes GitHub project workflows by caching metadata to prevent API rate limit exhaustion during autonomous development sessions.
Transforms raw feedback and bug reports into thoroughly investigated, prioritized, and well-documented GitHub issues.
Automates the creation of formatted pull requests and merge requests across GitHub and GitLab platforms.
Designs and optimizes organizational structures using the four fundamental team types and interaction modes from the Team Topologies methodology.
Standardizes and mandates GitHub Project board compliance as the definitive source of truth for all development tasks.
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