AI Skills for Product Manager
Discover 80975+ AI skills for product managers
Browse AI Skills for Product Manager
openclaw / openclaw-changelog-update
Automates the generation of OpenClaw release changelogs from git history, ensuring accurate and user-focused release notes.
openclaw / agent-transcript
Enhances GitHub PRs with redacted agent transcripts for better review and prioritization during OpenClaw workflows.
openclaw / spike
Enables rapid prototyping to validate ideas and assess feasibility before committing to full development.
openclaw / feishu-wiki
Facilitates navigation and management of Feishu knowledge bases, enabling users to create, move, and edit wiki pages efficiently.
openclaw / notcrawl
Facilitates efficient data management and querying in Notion archives, enhancing search and sync capabilities for users.
openclaw / openclaw-pr-maintainer
Facilitates OpenClaw GitHub issue and PR management, enabling efficient review, triage, and assignment for maintainers.
openclaw / gh-issues
Automates the management of GitHub issues by fetching, fixing, and monitoring PRs using sub-agents for efficient issue resolution.
openclaw / openclaw-landable-bug-sweep
Automates the process of identifying and fixing small OpenClaw bugs, ensuring high-quality PRs are ready for landing.
openclaw / openclaw-refactor-docs
Refactors OpenClaw documentation pages for clarity and accuracy, ensuring source-audited preservation and improved usability.
openclaw / openclaw-small-bugfix-sweep
Automates the process of fixing small, high-certainty bugs in OpenClaw after thorough code reviews, ensuring quality control before commits.
openclaw / tag-duplicate-prs-issues
Facilitates the identification and management of duplicate PRs and issues in OpenClaw using gitcrawl and prtags for efficient project maintenance.
openclaw / clawdtributor
Facilitates PR and issue triage for OpenClaw, enhancing review processes and ensuring efficient management of contributions.
openclaw / canvas
Enables display of HTML content on OpenClaw-connected nodes, perfect for interactive demos and visualizations.
affaan-m / react-patterns
Provides idiomatic React 18/19 patterns for building robust, accessible, and performant component trees.
affaan-m / react-performance
Optimizes React and Next.js performance with over 70 rules, enhancing load times and user interactions based on Vercel's best practices.
affaan-m / react-testing
Facilitates comprehensive testing of React components using React Testing Library, Vitest, and Jest, ensuring accessibility and network mocking.
affaan-m / codehealth-mcp
Enhances code quality assessment with real-time structural feedback, ensuring maintainability before commits and PRs.
affaan-m / dynamic-workflow-mode
Facilitates the creation of dynamic workflows and task-local harnesses for adaptive agent systems, enhancing automation and collaboration.
affaan-m / frontend-a11y
Provides accessibility patterns for React and Next.js, ensuring semantic HTML and ARIA compliance for interactive UI components.
affaan-m / generating-python-installer
Optimizes Python installers for Windows using Nuitka and Inno Setup for minimal size and fast startup.