AI Native Product Methodology — 80 executable skills across P0-P14 stages, covering needs discovery to aesthetic authority. From 8 books.
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Updated
May 6, 2026 - Python
AI Native Product Methodology — 80 executable skills across P0-P14 stages, covering needs discovery to aesthetic authority. From 8 books.
Maven Lightning Lesson on Product Thinking for Agentic Development - Specflow framework, patterns, and live tnyOffice demo
MindWiki — 10 顶级专家组团的决策追问系统 Skills(张小龙、乔布斯、马斯克、张一鸣、芒格、王兴、雷军、梁宁、Naval、毛泽东)。带工具调用和自我验证测试。
Curated knowledge base for Product, UX & UI Designers.
100+ free PM skills, 8 domain subagents, and the /pm orchestrator for Claude, Gemini & Codex — all free, no license key. Run in your terminal or Claude chat.
Minimal Telegram bot that interprets fitness data into daily energy states. Rule-based, no medical claims.
20 product-thinking principles distilled from 6 shipped indie products. A playbook for solo builders making every call alone. 独立开发者的产品思维手册。
Full-stack dating platform built with Flask and PostgreSQL, focused on scalable backend architecture, real-time interactions and product design.
AI-powered Product Management Copilot that transforms ambiguous product problems into structured insights, prioritized roadmaps, and defensible PM decisions.
Desktop math learning app with step-by-step solving, practice generation, tests, OCR, and graphing.
Product case studies showcasing product thinking, user research, prioritization, roadmap planning, and KPI-driven decision making.
Field guide for building and scaling AI products, from generative AI to agentic systems | AditiKhare.com — AI Product Ecosystem
让研发具备产品意识的开源训练体系
A product-first suite of two AI coding skills: technical visual explainers + presentation builders, packaged with explicit handoff rules and shared slide primitives.
AI dashboard for scoring AI skills, startup ideas, and business opportunities with rule-based analysis, portfolio-friendly reporting, and Streamlit UI.
AI-first design rules and benchmarks for building products, not dashboards.
Two-phase intent excavation for AI assistants: drill any decision to its real motive before mapping how to act. Universal engine plus pluggable culture-packs.
Telegram bot for managing classes, students, grades, reports, and Excel exports with Python, aiogram, SQLite, and AI-supported report logic.
Time-boxed shipping label flow built with Next.js, focused on correctness, UX clarity, and scalable architecture.
designing against manipulation
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