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uthy-legacy-os

v1.0.2

Published

Product Management CLI — AI-powered PM skills, chat, config, workflows. 35 skills for discovery, PRDs, shipping, measuring.

Readme

╔══════════════════════════════════════╗

║ UTHY LEGACY OS — v1.0.0 ║

║ Product Management Skills for AI ║

╚══════════════════════════════════════╝

30 battle-tested PM skills + 4 guided workflows for Claude Code, Cursor, Codex, Gemini CLI, Copilot, and any AI agent that speaks SKILL.md.

"Skills provide expertise; workflows provide momentum."


What is Uthy Legacy OS?

A portable, open‑source library of product management skills that turns any AI coding agent into a capable PM partner. Each skill is a SKILL.md file — a standard format supported by Claude Code, Cursor, Codex CLI, Gemini CLI, Copilot, Windsurf, and 20+ other agents.

Install once. Use everywhere. Never start from scratch again.

What's Inside

| Phase | Skills | Covers | |-------|--------|--------| | 🔍 Discovery | 5 skills | Customer interviews, competitive analysis, market sizing, user research, opportunity trees | | 🎯 Problem Definition | 5 skills | Problem statements, JTBD, personas, framing, elevator pitches | | 💡 Solution Exploration | 5 skills | Brainstorming, hypothesis prioritization, experiment design, prototyping, validation | | 📝 PRDs & Stories | 5 skills | PRD writer, user stories, acceptance criteria, epic breakdown, spec bridges | | 🚀 Shipping | 5 skills | Launch plans, release notes, GTM, rollout strategy, stakeholder comms | | 📊 Measuring | 5 skills | Metrics frameworks, experiment analysis, dashboards, A/B tests, north stars | | ♻️ Improve | 5 skills | Retros, feedback analysis, iteration prioritization, churn, adoption funnels | | 🔄 Workflows | 4 workflows | Discovery sprint, ship cycle, quarterly planning, health review |


Quick Install

Choose your weapon — all four installers do the same thing.

🟢 npm (Node.js)

npx uthy-legacy-os
# or install globally once:
npm install -g uthy-legacy-os && uthy-legacy-os

🔵 pnpm

pnpm dlx uthy-legacy-os

🟣 bun

bunx uthy-legacy-os

🟡 PowerShell (Windows native)

.\install.ps1

🔴 Bash (Linux / macOS / Git Bash)

git clone https://github.com/uthumany/uthy-legacy-os.git ~/.uthy-legacy-os
cd ~/.uthy-legacy-os && bash install.sh

Per‑Agent Manual Install

If you prefer to symlink manually:

Claude Code

mkdir -p ~/.claude/skills
ln -s ~/.uthy-legacy-os/skills/*/* ~/.claude/skills/

Cursor

mkdir -p ~/.cursor/skills
ln -s ~/.uthy-legacy-os/skills/*/* ~/.cursor/skills/

Codex CLI

mkdir -p ~/.codex/skills
ln -s ~/.uthy-legacy-os/skills/*/* ~/.codex/skills/

Hermes Agent

hermes curator install url https://github.com/uthumany/uthy-legacy-os

Gemini CLI

mkdir -p ~/.gemini/skills
ln -s ~/.uthy-legacy-os/skills/*/* ~/.gemini/skills/

How It Works

Each skill is a folder containing:

skill-name/
├── SKILL.md              # Instructions + YAML frontmatter (the core)
├── references/           # Deep-dive docs, frameworks, checklists
├── templates/            # Reusable templates the agent can fill in
└── samples/              # Realistic outputs that show "what good looks like"

When you ask your agent to "write a PRD" or "plan a discovery sprint", the agent's skill system automatically finds the matching skill and loads it. The skill teaches the agent:

  • What to do — step‑by‑step guidance
  • How to do it — frameworks, templates, pro tips
  • What good looks like — sample outputs and quality standards
  • What to avoid — pitfalls and anti‑patterns

Skill Catalog (30 Skills)

| Skill | Phase | What It Does | |-------|-------|-------------| | customer-interviews | Discovery | Plan and conduct customer discovery interviews | | competitive-analysis | Discovery | Deep‑dive competitive positioning analysis | | market-sizing | Discovery | TAM/SAM/SOM with top‑down and bottom‑up | | user-research | Discovery | Synthesis of qualitative and quantitative research | | opportunity-solution-tree | Discovery | Map opportunities to potential solutions (Teresa Torres) | | problem-statement | Problem | Frame the customer problem with evidence | | jobs-to-be-done | Problem | Understand customer goals (JTBD framework) | | proto-persona | Problem | Hypothesis‑driven personas before research | | problem-framing | Problem | Reframe problems to unlock better solutions | | elevator-pitch | Problem | One‑sentence value propositions (Geoffrey Moore) | | solution-brainstorming | Solutions | Structured ideation with constraints | | hypothesis-prioritization | Solutions | RICE, ICE, and value‑effort quadrants | | experiment-design | Solutions | Design lightweight experiments (PoL method) | | prototype-planning | Solutions | Plan what to prototype and at what fidelity | | validation-interview | Solutions | Test prototypes with customer interviews | | prd-writer | PRD & Stories | Write comprehensive PRDs from research | | user-story-writer | PRD & Stories | Stories with acceptance criteria (Gherkin) | | acceptance-criteria | PRD & Stories | Write clear, testable criteria (Given/When/Then) | | epic-breakdown | PRD & Stories | Split epics into deliverable stories | | technical-spec-bridge | PRD & Stories | Translate PRDs for engineering audiences | | launch-plan | Shipping | End‑to‑end launch checklists and timing | | release-notes | Shipping | Write release notes for different audiences | | go-to-market | Shipping | GTM strategy for new features/products | | rollout-strategy | Shipping | Phased rollout plans with rollback | | stakeholder-communication | Shipping | Status updates, exec briefs, and dashboards | | metrics-framework | Measuring | AARRR, HEART, and custom metric trees | | experiment-analysis | Measuring | Analyze experiment data and draw conclusions | | dashboard-design | Measuring | Design metric dashboards that drive action | | ab-test-reader | Measuring | Interpret A/B test results with confidence | | north-star-metrics | Measuring | Define and align around north star metrics | | retrospective | Improve | Structured retros (Start/Stop/Continue, 4Ls) | | feedback-analysis | Improve | Synthesize user feedback into insights | | iteration-prioritization | Improve | Prioritise post‑launch improvements | | churn-analysis | Improve | Diagnose churn and identify retention levers | | adoption-funnel | Improve | Analyze and improve feature adoption |


Guided Workflows

Beyond individual skills, Uthy Legacy OS includes 4 cross‑phase workflows that orchestrate multiple skills together:

| Workflow | Duration | Skills Used | |----------|----------|-------------| | product-discovery-sprint | 1–2 weeks | 8 skills across discovery → problem → solutions | | feature-ship-cycle | 2–4 weeks | 10 skills from PRD → shipping → measuring | | quarterly-planning | 1 week | 6 skills for strategic planning | | product-health-review | Weekly | 4 skills for ongoing health monitoring |

Each workflow is a SKILL.md that acts as a sub‑agent orchestrator, calling other skills in sequence with handoff criteria.


Project Structure

uthy-legacy-os/
├── README.md               # You are here
├── AGENTS.md               # Instructions for AI contributors
├── LICENSE                  # MIT
├── CONTRIBUTING.md          # How to add a skill
├── install.sh               # Bash installer (Linux/macOS/Git Bash)
├── install.ps1               # PowerShell installer (Windows native)
├── bin/cli.js                # CLI entry point (npm/pnpm/bun)
├── package.json              # npm package metadata
├── skills/                  # 30 skills in 6 phases + 4 workflows
├── templates/               # Reusable document templates
├── samples/                 # Realistic sample outputs
├── docs/                    # Documentation site (GitHub Pages)
├── scripts/                 # Validation and release tooling
└── .github/workflows/       # CI/CD

Development & Contribution

We welcome contributions! See CONTRIBUTING.md for:

  • Skill authoring guide
  • Quality standards
  • Validation checks
  • PR workflow

Before submitting, run the validator:

python scripts/validate-skills.py

License

MIT — free to use, fork, and share. Attribution appreciated but not required.


About

Built by Uthuman & Co for product managers who believe AI shouldn't just write code — it should help you think better about what to build.

github.com/uthumany/uthy-legacy-os