An agent loop that builds and tests web prototypes
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Updated
Apr 6, 2026 - Python
An agent loop that builds and tests web prototypes
PMF Kit is a spec‑driven toolkit for discovering and validating product‑market fit for AI SaaS products. It extends GitHub’s Spec‑Kit to give founders and PMs structured workflows, templates, and AI agent commands
A Django package for managing user personas with an admin interface, template view, and optional API support.
Browse 'information needs-seeking-use' studies in PubMed with Python-generated report
Analyze App Store and Google Play reviews with an analyze-first skill for agents and API workflows.
Automate your user interview prep: Calendly + BigQuery + Feishu Bot = zero-prep user research
Human-in-the-loop AI Assistant for user interview transcription and insight analysis.
Turn recorded conversations into structured insights. Local transcription (Whisper) + AI extraction (Ollama). No API costs, no data leaves your machine.
弗洛伊德.skill — 用无意识动机、防御与重复模式理解表面理由之下的行为。Sigmund Freud.skill — Read behavior beneath surface reasons through motive, defense, and repetition.
Extracts feature requests and pain points from customer interview transcripts. Built with LangGraph, Gemini 2.5 Flash, and Pydantic. Every insight cites a verbatim quote, verified by a second LLM pass before reaching the user.
Find what to build next. Mine user pain points from HN, Reddit & Product Hunt | 找到下一个值得做的产品,从社区讨论中挖掘真实用户痛点
User Research to Product Spec: Reducing Productivity Tool Abandonment. 22 qualitative interviews, affinity mapping, 3 behavioral personas, complete PRD with user stories. Built with Python & Streamlit. Demonstrates PM skills: research, synthesis, and product specification. 🚀
An AI-powered user research system that automatically generates user personas, conducts simulated interviews, and synthesizes insights using LangGraph's multi-agent workflow.
12 AI-powered skills for product discovery — from raw customer signal to validated opportunity. Built for Claude Code & GitHub Copilot.
Turn raw research into Jobs-to-be-Done statements — extract functional, emotional, and social jobs with opportunity scoring
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