Product Management Skills

Facilitates navigation and management of Feishu knowledge bases, enabling users to create, move, and edit wiki pages efficiently.

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

Enables display of HTML content on OpenClaw-connected nodes, perfect for interactive demos and visualizations.

Facilitates building and optimizing applications using the Claude API and Anthropic SDK, including prompt caching and version migration.

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

Produces clear and consistent documentation for the Gemini CLI project, adhering to strict standards and guidelines.

Guides users in creating high-quality Pull Requests that adhere to repository standards and templates.

Enables fast web browsing for Claude Code with a headless Chromium daemon, allowing navigation, content extraction, and interaction with web pages.

Facilitates systematic debugging and root cause analysis for software issues, ensuring effective problem resolution.

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

Conducts thorough QA testing on web applications, generating detailed reports without fixing any issues.

Facilitates comprehensive reviews of plans and proposals, ensuring rigorous evaluation and strategic thinking for optimal outcomes.

Conducts live audits of developer experience, evaluating documentation and onboarding processes to produce actionable scorecards.

Launches an AI-controlled Chromium browser with real-time activity feed and chat for enhanced user interaction.

Facilitates an interactive review of developer experience plans, identifying personas, benchmarks, and friction points for improvement.

Facilitates rigorous CEO-level plan reviews to enhance product vision and execution through structured scope management.

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.

Compares performance metrics of AI models like Claude, GPT, and Gemini to determine the best option for specific tasks.