AI Skills for Technical Product Manager

Automates the management of GitHub issues by fetching, fixing, and monitoring PRs using sub-agents for efficient issue resolution.

Provides guidance for creating effective skills that enhance Gemini CLI's capabilities with specialized workflows and tool integrations.

Analyzes engineering metrics and team contributions for weekly retrospectives, enhancing team awareness and performance tracking.

Facilitates engineering plan reviews by locking in execution strategies, addressing edge cases, and ensuring thorough documentation.

Analyzes commit history and work patterns to generate engineering retrospectives, enhancing team performance and code quality.

Automates the review process for project plans using decision principles, streamlining approvals and enhancing efficiency.

Provides a read-only dashboard for tracking version slots and open PRs in a workspace-aware ship environment.

Facilitates the creation of isolated Git worktrees for feature development, ensuring safe directory selection and verification.

Facilitates the execution of implementation plans with critical reviews and structured task management for effective project delivery.

Enables agents to control a cloud browser for web navigation, form filling, and screenshot capturing in sandboxed environments.

Ensures Django project quality and security through comprehensive verification loops including migrations, linting, tests, and security scans.

Enforces test-driven development principles with comprehensive test coverage for new features, bug fixes, and code refactoring.

Establishes universal coding standards and best practices for TypeScript, JavaScript, React, and Node.js development.

Provides repo-specific guidance for managing cross-platform coding tasks and maintaining synchronization across multiple AI coding platforms.

Provides best practices for database migrations, covering schema changes, data migration, rollback, and zero-downtime deployments.

Facilitates a research-first workflow to identify existing tools and libraries before coding, enhancing efficiency and reducing redundancy.

Provides architecture patterns and best practices for building scalable REST APIs using Spring Boot in Java.

Automates the verification process for Spring Boot projects, ensuring builds, tests, security scans, and code reviews are completed before release.

Optimizes AI agent action spaces and tool definitions to enhance completion rates and improve error recovery strategies.

Audits the quality of Claude skills and commands, supporting quick scans and comprehensive inventory modes for effective evaluation.