Open Source Claude Skills for Product Managers: PRD Generator, User Stories, Meeting Notes

A developer has published five open-source Claude AI skills designed specifically for product managers. The tools generate properly formatted .docx files instead of messy chat output and avoid making up content.
Available Skills
- PRD Generator – Users can pick from 15 sections and get a clean .docx document. Missing information is flagged as placeholders to prevent hallucinated non-functional requirements.
- User Story Writer – Converts features, PRDs, or rough notes into structured user stories with acceptance criteria (using GWT or checklist format) and edge cases.
- Meeting Synthesizer – Transforms raw meeting notes into decisions, action items (with owner and deadline), key points, and open questions.
- Market Research – Uses Claude's web search capability to find real, cited data including competitors (both direct and indirect), market sizing, trends, and SWOT analysis.
- Stakeholder Updates – Converts sprint dumps into crisp updates with RAG (presumably retrieval-augmented generation), blockers (with owner and impact), and decision asks.
The developer created these skills to avoid repeating the same instructions to Claude, such as "use GWT," "don't invent requirements," and "format it properly." The skills are available as a single install package that requires no prompt babysitting once set up.
The project is hosted on GitHub with a setup guide, and the developer accepts feedback and feature requests. A Buy Me a Coffee link is provided for those who find the tools useful.
📖 Read the full source: r/ClaudeAI
👀 See Also

Local-Cloud Hybrid AI Architecture: Practical Patterns Inspired by r/LocalLLaMA
The original post proposes a hybrid AI model where a local model handles routine tasks and defers to a cloud model for complex reasoning via a single API call, alongside a deterministic 'hypervisor' for guard rails.

Revise: AI Editor Built with Agentic Coding Tools and Y.js CRDT
Revise is an AI editor for documents built from scratch over 10 months using agentic coding tools, with a custom word processor engine and rendering layer that only uses Y.js for the CRDT stack. It integrates multiple AI models including GPT-5.4 variants and Claude models for proofreading and revision.

Building a Persistent AI Knowledge Infrastructure with OpenClaw
A developer built 'Brain'—a central knowledge service with local RAG, multi-agent coordination, and a typed plugin system—to solve the statelessness problem in AI setups. The system runs entirely on local hardware using Ollama, Postgres, MongoDB, Qdrant, and Memgraph.

Spectral: Capture App Traffic to Generate MCP Servers for OpenClaw Agents
Spectral is an open-source tool that captures traffic from any application, analyzes it with an LLM, and generates a working MCP server, allowing OpenClaw agents to call the app's real API directly instead of relying on browser automation.