The most comprehensive open-source product development skill for Claude.
48 agents · 33 frameworks · Research-first, depth to the Mariana Trench · Solo founder Day 0 → IPO → public company
This is a Claude Skill. Claude reads
SKILL.md. This README is for human visitors.
Skills require a paid plan. Free tier does not have access to Skills, including "Add from GitHub."
- Download this repo as ZIP (Code → Download ZIP)
- Go to Claude.ai → Settings → Capabilities → Skills
- Upload the ZIP
- Test: Ask Claude "Help me build a product" or "Write a PRD for [feature]"
git clone https://github.com/ankitjha67/product-architect.git
# Place in your Claude Code skills directory (~/.claude/skills/)Use the /v1/skills endpoint with the container.skills parameter. Requires Code Execution Tool beta.
If you're on the free plan, you can still use everything in this repo:
-
Guided mode (recommended) — Open
START-HERE.mdon GitHub, click Raw, copy everything, paste into a new Claude chat. Describe your idea — Claude will ask what you're building, identify the right agents, give you exact GitHub URLs to paste them one at a time, and guide you through the entire product development process step by step. -
Projects — Create a Project in Claude.ai, paste
SKILL.md+SMART-LOADER.mdas project knowledge. Then paste individual agent/framework files as needed per conversation. -
Direct paste — Open any file on GitHub (e.g.
frameworks/founders-playbook.md), copy the raw content, and paste it into a regular Claude chat. Every file works standalone. -
Claude Code — If you have Claude Code access, clone the repo into your skills directory. Skills load automatically.
Organized by product lifecycle — each operates at department-head depth:
| Phase | Agents |
|---|---|
| Research & Audit | 47 Deep Research (exists-vs-novel verdict, research-first gate) · 00 Chief Reviewer (6-pass audit, veto power) · 01 Proactive Advisor (blind spots) |
| Product | 02 Discovery · 03 Strategy · 04 PRD · 05 Design · 06 Engineering · 35 User Research |
| Build & Test | 07 Testing & QA · 08 DevOps & SRE · 41 Technical Program Management |
| Protect | 09 Security · 10 Legal & IP · 11 Compliance (14 policies) · 12 Trust & Safety · 13 Fraud · 39 Privacy & Data Protection (DPO) |
| Launch & Grow | 14 Launch & GTM · 15 Marketing & Sales · 16 Analytics · 17 Customer Success · 31 Product Marketing · 37 Growth |
| Commercial | 32 Sales & RevOps · 33 Partnerships & BizDev · 36 Pricing & Monetization |
| Operate & Scale | 18 Finance · 19 Operations (24 SOPs) · 20 BAU · 21 Innovation · 46 Procurement & Supply Chain |
| People | 22 People & HR · 23 L&D · 24 Wellness & Performance |
| Corporate | 25 PR & Comms · 26 Governance & IPO · 27 ESG · 28 Govt Relations · 44 Investor Relations · 45 Corporate Development & M&A |
| Data & Platform | 29 Data & AI Strategy · 30 Platform & Ecosystem · 34 Developer Relations · 38 Data Engineering |
| Enablement | 40 IT & Corporate Engineering · 42 Content & Docs · 43 Localization & i18n |
| Framework | What It Does |
|---|---|
| Deep Research Protocol | End-to-end market existence/novelty engine: exists-vs-novel verdict, citation hygiene, anti-hallucination gate, per-agent depth map |
| Founder's Playbook | Week-by-week from Day 0 with costs, fundraising, IP, legal |
| 30-Day Launch Engine | Positioning, channel selection, day-by-day execution |
| Scenario Playbooks | 54 tactical guides across 31 departments (breach response, pivot, MEDDICC discovery call, DSAR runbook, secure offboarding, price increase, launch readiness, investor update, etc.) |
| SOP & Process Maps | 24 SOPs across 10 departments with automation opportunities |
| Compensation Bands | Salary by role/level/geography + equity + maintenance process |
| Consulting Frameworks | McKinsey 7S, Porter's, Blue Ocean, BCG, JTBD, PESTEL |
| Stress-Test Framework | 200+ edge cases across 12 categories |
| OKRs & Goal-Setting | North Star metric, metrics tree, OKR cascade & cadence |
| Pricing & Packaging | Price-metric selection, Van Westendorp, discount governance |
| Growth Model | AARRR, growth loops, activation/retention, experiment engine |
| Sales Playbook | Sales stages, MEDDICC, discovery scripts, objection handling |
| Data Governance | Data contracts, quality SLAs, classification, lineage, catalog |
| Incident Management | Severity matrix, on-call, comms, blameless postmortems |
| Partnership Framework | Partner tiers, deal structures, co-sell, partner economics |
| Brand & Messaging | Positioning statement, messaging house, voice & tone, narrative |
| Customer Journey | Lifecycle map, moments of truth, retention/expansion loops |
| Institutional Memory | Decision archaeology, knowledge maps, context handoffs |
| Corporate Scaling | Solo founder → IPO with org charts per stage |
| Global Compliance | Regulatory overview for 30+ countries |
| + 13 more | PRD, MVP, roadmap, user-flows, risk-matrix, A/B testing, accessibility, product lifecycle, competitive intel, continuous improvement, physical ops, coverage audit, universal checklists |
India · US · EU · UK · Southeast Asia (Singapore, Indonesia, Thailand, Vietnam, Philippines, Malaysia)
Research-First Depth — Before recommending building anything, agents run the Deep Research Protocol (Agent 47): an end-to-end market investigation that returns a grounded verdict — "this already exists, here are the competitors + citations, refine it" or "this is white-space, no competition/citations in this niche" (with the honest caveat that absence of evidence isn't proof of novelty, plus a "why is it empty?" analysis). Every agent inherits a Depth Rubric (L0 surface → L4 Mariana Trench), must grade itself L3+, and never fabricates a company, statistic, study, patent, or URL.
Smart Loading — SMART-LOADER.md routes each request to only the relevant agents. Scores agents 0-10 on relevance, handles multi-intent requests, supports dynamic mid-conversation loading. Never loads everything at once. Free tier: 3 agents/turn. Pro: 5 agents/turn.
Cross-Agent Governance — 5-level authority hierarchy prevents contradictions: Compliance (override) → Privacy/DPO (override) → Security (override) → Finance (veto) → Chief Reviewer (veto). 5-step conflict protocol: stop, state, apply hierarchy, document, flag.
KDR Memory — Key Decision Records with sequential numbering, conflict detection (scan-before-record), and SUPERSEDED mechanism. Survives chat compaction. Works on free tier. Paste MASTER KDR into new conversations to resume.
Agent Standards — Shared quality protocol inherited by all agents: before/during/after checklists, iterative refinement loops, performance rules, cross-reference table mapping every agent to related frameworks.
| Metric | Value |
|---|---|
| Agents | 48 |
| Frameworks | 33 |
| Total files | 97 |
| Total lines | 24,000+ |
| Country compliance deep-dives | 5 (covering 11 countries) |
| Complete policies drafted | 14 |
| SOPs with process maps | 24 |
| Tactical scenario playbooks | 54 (across 31 departments) |
| Stress-test edge cases | 200+ |
| Salary bands | 5 functions × 6 levels × 2 geographies |
product-architect/
├── SKILL.md ← Claude reads this (skill entry point)
├── SMART-LOADER.md ← Context router + memory engine
├── START-HERE.md ← Free tier entry point (paste into Claude)
├── README.md ← You are here (for humans)
├── ENHANCEMENTS.md ← Enhancement roadmap (what was added & why)
├── LICENSE ← MIT
├── agents/ ← 48 agent files (00-47)
├── frameworks/ ← 33 framework files
├── references/
│ ├── compliance/ ← Country deep-dives (5 files)
│ ├── agent-standards.md ← Quality protocol for all agents
│ ├── DISCLAIMER.md ← Professional review requirements
│ ├── github-readme.md ← Extended documentation
│ └── industry-references.md ← Best-in-class by function
└── tools/
├── navigator.jsx ← Interactive web UI for founders
└── validate_repo.py ← Structure validator (counts, numbering, doc-consistency)
This is an educational framework created through human-AI collaboration, not professional advice. All legal, financial, security, and HR content requires qualified professional review before real-world use. See references/DISCLAIMER.md for full details including AI authorship considerations and human involvement requirements.
MIT — see LICENSE.
Contributions welcome — new agents, deeper frameworks, industry-specific extensions, country compliance additions, bug fixes.
Built through iterative human-AI collaboration using Claude (Anthropic). Compliant with Anthropic's official skill guide. 25/25 skill compliance checks passed.