Use 18 AI PM agents for research, financials, and execution specs.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.fluidumber/autopm" MCP server from askskill: Run: claude mcp add 'io-github-fluidumber-autopm' -- npx -y @productflow/autopm
Act as a product management assistant and research the online collaborative document tools market. List 5 major competitors, compare their target users, core features, pricing, strengths, and weaknesses, then summarize 3 differentiated opportunities worth pursuing.
A structured competitor analysis and market opportunity summary for evaluating product direction.
Create a financial model for a new AI summarization feature in a SaaS product. Based on development cost, inference cost, expected adoption, paid conversion, and retention impact, output revenue projections, cost breakdown, gross margin, and optimistic/base/conservative scenarios.
A financial analysis with key assumptions, revenue and cost estimates, and multi-scenario forecasts.
Generate a PRD for this goal: add automatic order issue alerts to an e-commerce app. Include user pain points, goals, user stories, feature scope, non-functional requirements, tracking metrics, acceptance criteria, risks, and open questions, then organize them into an execution-ready spec.
A clear PRD and execution spec that can be used directly for product and engineering collaboration.
Automate PerplexityAI queries and information workflows through Rube MCP.
Automate Docsbot AI tasks via Rube MCP using current tool schemas first.
Equip AI agents with account intelligence for targeted ABM outreach.
Use free no-auth financial and practical calculators in AI agents.
Let AI agents automate Windows desktop workflows via visual recognition and input control.
Explore humanoid robot market intelligence, specs, pricing, and viability scores.