product-management
AI-native product management tool for startups. Features automated competitor research, gap analysis using the WINNING filter, PRD generation, and GitHub Issues integration for prioritized, signal-based roadmap planning.
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515 skills found
AI-native product management tool for startups. Features automated competitor research, gap analysis using the WINNING filter, PRD generation, and GitHub Issues integration for prioritized, signal-based roadmap planning.
Master core marketing concepts, psychology, and frameworks. Includes funnel mapping, positioning, value propositions, and customer journey analysis for effective strategy.
Easily configure and add Model Context Protocol (MCP) servers to various AI coding clients like Cursor, Claude, VS Code, and more using an interactive or automated command-line interface.
Implement shadcn/ui components: installation, Vite/TanStack Router configuration, CLI command management, and Tailwind CSS integration.
Interactive tool for generating Business, Model, Architecture, and Design (BMAD) planning documentation for feature development.
Official n8n workflow automation support for building, debugging, and scaling complex business processes and AI-powered integrations.
Provides comprehensive knowledge on Zed Editor and the Agent Client Protocol (ACP), including AI agent integration, performance tuning, and configuration for professional development workflows.
Manage Jenkins CI/CD pipelines via REST API. Trigger builds, monitor job status, view console logs, and manage nodes and queues directly from your terminal or AI agent.
Production-ready reinforcement learning using Stable Baselines3. Train agents, design custom environments, implement training callbacks, and optimize workflows with a scikit-learn-style API.
An automated memory middleware for AI agents, implementing a Retrieve-Respond-Save loop to maintain long-term persistent context across conversations.
Structured task planning framework for AI agents to break down complex features, refactors, and bugs into actionable, verifiable steps.
A project-specific template skill providing standardized architecture, file structures, coding patterns, and deployment workflows for production-grade AI applications.