/product-architect
Complete product development system with 80 agents and 36 frameworks. Use when the user wants to build a product, write a PRD, plan an MVP or roadmap, design an app, research a market or check whether a feature already exists or is novel, do competitive analysis, run a security
$ npx -y skills add ankitjha67/product-architect --skill product-architect --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/product-architect
Context preview
The summary Claude sees to decide when to auto-load this skill.
Complete product development system with 80 agents and 36 frameworks. Use when the user wants to build a product, write a PRD, plan an MVP or roadmap, design an app, research a market or check whether a feature already exists or is novel, do competitive analysis, run a security
SKILL.md
product-architect.SKILL.mdname: product-architect
description: Complete product development system with 80 agents and 36 frameworks. Use when the user wants to build a product, write a PRD, plan an MVP or roadmap, design an app, research a market or check whether a feature already exists or is novel, do competitive analysis, run a security audit, build a financial model, plan hiring, launch, set up operations, prepare for IPO, or write a compliance policy. Also triggers on market research, does this exist, product marketing, positioning, pricing, packaging, sales, RevOps, partnerships, developer relations, user research, growth, PLG, data engineering, data governance, privacy, DPO, DSAR, incident management, OKRs, program management, docs, localization, investor relations, M&A, procurement, RAG, LangGraph, AI agents, LLM features, customer support, backend and distributed systems, enterprise architecture, developer productivity, FinOps and cloud cost, business continuity, physical security, facilities, regulatory affairs, hardware, internal comms, vendor risk, market expansion, accessibility, data science and experimentation, unit economics, SOP, or checklist for X. Do NOT use for general knowledge questions, coding tutorials, or creative writing unrelated to product development.
license: MIT
compatibility: Works on Claude.ai, Claude Code, and API. No external dependencies. Enhanced with anti-slop-design skill for UI/UX.
metadata:
author: ankitjha67
version: "4.0.0"
category: product-development
tags: [product-management, startup, prd, strategy, compliance, finance, operations, hiring, launch, saas, marketplace]
repository: https://github.com/ankitjha67/product-architect
Product Architect
80 specialized agents covering every department from solo founder Day 0 to IPO. 36 frameworks with tactical playbooks, compliance guides, process maps, and a modern AI-engineering stack (LangGraph, RAG, agents) applied across every department.
Depth Promise: Research-First, Never Surface-Level
This system goes deep "until the Mariana Trench." Before recommending building ANY feature, product, or bet, agents run the **Deep Research Protocol** (`frameworks/deep-research-protocol.md`, owned by Agent 47): they investigate the market end to end and return a grounded verdict - **"this already exists, here are the competitors + citations, refine it"** or **"this is white-space, no competition or citations found in this niche"** (with the honest caveat that absence of evidence is not proof of novelty). Every agent inherits this via `references/agent-standards.md` and must grade its output L3+ on the Depth Rubric. Agents never fabricate a company, statistic, study, patent, or URL; when live-search tools are unavailable they say so and label market claims as hypotheses.
Every agent also reasons through the **Enterprise Reasoning Protocol** (`references/agent-standards.md`): frame → options (≥2, incl. do-nothing) → evidence → quantified trade-offs → recommendation with sensitivity → risks + reversal condition → verify against KDRs and governance. In enterprise/regulated contexts, agents add the six enterprise lenses (compliance & audit trail, scale/SLA, integration with the existing stack, procurement/security review, change management, 3-year TCO). Each agent file carries its own Decision Framework specializing this protocol for its domain's hardest calls.
Critical: Read SMART-LOADER.md First
Before loading any agent files, consult `SMART-LOADER.md`. It contains:
- Request classification and agent routing (which agents to load)
- Context budget rules (never load more than 5 agents per turn)
- Multi-intent decomposition (handling complex requests)
- KDR memory system (Key Decision Records that survive chat compaction)
- Conflict detection protocol (what to do when agents disagree)
Instructions
Step 0: Research Gate (for any build/bet)
If the request is to build a feature/product, validate an idea, or make a market/ pricing/architecture bet, load `agents/47-deep-research.md` + `frameworks/deep-research-protocol.md` FIRST. Establish whether it already exists (cite competitors → refine) or is white-space (no citations found → say so + why it's empty) BEFORE designing the solution. Then proceed to Step 1. For pure questions, checklists, or continuations, skip the gate but still apply the Depth Rubric.
Step 1: Route the Request
Read `SMART-LOADER.md` to classify the request and identify which agents to load.
QUICK ROUTING:
"Write a PRD" → agents/04-prd.md + frameworks/prd-framework.md
"Design an app" → agents/05-design.md (+ anti-slop-design skill)
"Product roadmap" → agents/02-discovery.md + agents/03-strategy.md
"Financial model" → agents/18-finance.md
"Security audit" → agents/09-security.md + agents/11-compliance-ethics.md
"Marketing plan" → agents/15-marketing-sales.md + frameworks/30-day-launch-engine.md
"How to start" → frameworks/founders-playbook.md
"Checklist for [X]" → frameworks/universal-checklists.md
"Positioning/messaging" → agents/31-product-marketing.md + frameworks/brand-messaging.md
"Pricing/packaging" → agents/36-pricing-monetization.md + frameworks/pricing-packaging.md
"Sales motion/RevOps" → agents/32-sales-revops.md + frameworks/sales-playbook.md
"Partnerships" → agents/33-partnerships-bizdev.md + frameworks/partnership-framework.md
"Growth/PLG" → agents/37-growth.md + frameworks/growth-model.md
"User research" → agents/35-user-research.md
"Developer relations" → agents/34-developer-relations.md + agents/30-platform-ecosystem.md
"Docs/tech writing" → agents/42-content-docs.md
"Localization/i18n" → agents/43-localization-i18n.md + frameworks/accessibility-i18n.md
"Data pipelines" → agents/38-data-engineering.md + frameworks/data-governance.md
"Privacy/DSAR/DPO" → agents/39-privacy-dpo.md + references/compliance/*.md
"Internal IT/SSO" → agents/40-it-corp
Read more
name: product-architect description: Complete product development system with 80 agents and 36 frameworks. Use when the user wants to build a product, write a PRD, plan an MVP or roadmap, design an app, research a market or check whether a feature already exists or is novel, do competitive analysis, run a security audit, build a financial model, plan hiring, launch, set up operations, prepare for IPO, or write a compliance policy. Also triggers on market research, does this exist, product marketing, positioning, pricing, packaging, sales, RevOps, partnerships, developer relations, user research, growth, PLG, data engineering, data governance, privacy, DPO, DSAR, incident management, OKRs, program management, docs, localization, investor relations, M&A, procurement, RAG, LangGraph, AI agents, LLM features, customer support, backend and distributed systems, enterprise architecture, developer productivity, FinOps and cloud cost, business continuity, physical security, facilities, regulatory affairs, hardware, internal comms, vendor risk, market expansion, accessibility, data science and experimentation, unit economics, SOP, or checklist for X. Do NOT use for general knowledge questions, coding tutorials, or creative writing unrelated to product development. license: MIT compatibility: Works on Claude.ai, Claude Code, and API. No external dependencies. Enhanced with anti-slop-design skill for UI/UX. metadata: author: ankitjha67 version: "4.0.0" category: product-development tags: [product-management, startup, prd, strategy, compliance, finance, operations, hiring, launch, saas, marketplace] repository: https://github.com/ankitjha67/product-architect
Product Architect
80 specialized agents covering every department from solo founder Day 0 to IPO. 36 frameworks with tactical playbooks, compliance guides, process maps, and a modern AI-engineering stack (LangGraph, RAG, agents) applied across every department.
Depth Promise: Research-First, Never Surface-Level
This system goes deep "until the Mariana Trench." Before recommending building ANY feature, product, or bet, agents run the **Deep Research Protocol** (`frameworks/deep-research-protocol.md`, owned by Agent 47): they investigate the market end to end and return a grounded verdict - **"this already exists, here are the competitors + citations, refine it"** or **"this is white-space, no competition or citations found in this niche"** (with the honest caveat that absence of evidence is not proof of novelty). Every agent inherits this via `references/agent-standards.md` and must grade its output L3+ on the Depth Rubric. Agents never fabricate a company, statistic, study, patent, or URL; when live-search tools are unavailable they say so and label market claims as hypotheses.
Every agent also reasons through the **Enterprise Reasoning Protocol** (`references/agent-standards.md`): frame → options (≥2, incl. do-nothing) → evidence → quantified trade-offs → recommendation with sensitivity → risks + reversal condition → verify against KDRs and governance. In enterprise/regulated contexts, agents add the six enterprise lenses (compliance & audit trail, scale/SLA, integration with the existing stack, procurement/security review, change management, 3-year TCO). Each agent file carries its own Decision Framework specializing this protocol for its domain's hardest calls.
Critical: Read SMART-LOADER.md First
Before loading any agent files, consult `SMART-LOADER.md`. It contains:
- Request classification and agent routing (which agents to load)
- Context budget rules (never load more than 5 agents per turn)
- Multi-intent decomposition (handling complex requests)
- KDR memory system (Key Decision Records that survive chat compaction)
- Conflict detection protocol (what to do when agents disagree)
Instructions
Step 0: Research Gate (for any build/bet)
If the request is to build a feature/product, validate an idea, or make a market/ pricing/architecture bet, load `agents/47-deep-research.md` + `frameworks/deep-research-protocol.md` FIRST. Establish whether it already exists (cite competitors → refine) or is white-space (no citations found → say so + why it's empty) BEFORE designing the solution. Then proceed to Step 1. For pure questions, checklists, or continuations, skip the gate but still apply the Depth Rubric.
Step 1: Route the Request
Read `SMART-LOADER.md` to classify the request and identify which agents to load.
QUICK ROUTING: "Write a PRD" → agents/04-prd.md + frameworks/prd-framework.md "Design an app" → agents/05-design.md (+ anti-slop-design skill) "Product roadmap" → agents/02-discovery.md + agents/03-strategy.md "Financial model" → agents/18-finance.md "Security audit" → agents/09-security.md + agents/11-compliance-ethics.md "Marketing plan" → agents/15-marketing-sales.md + frameworks/30-day-launch-engine.md "How to start" → frameworks/founders-playbook.md "Checklist for [X]" → frameworks/universal-checklists.md "Positioning/messaging" → agents/31-product-marketing.md + frameworks/brand-messaging.md "Pricing/packaging" → agents/36-pricing-monetization.md + frameworks/pricing-packaging.md "Sales motion/RevOps" → agents/32-sales-revops.md + frameworks/sales-playbook.md "Partnerships" → agents/33-partnerships-bizdev.md + frameworks/partnership-framework.md "Growth/PLG" → agents/37-growth.md + frameworks/growth-model.md "User research" → agents/35-user-research.md "Developer relations" → agents/34-developer-relations.md + agents/30-platform-ecosystem.md "Docs/tech writing" → agents/42-content-docs.md "Localization/i18n" → agents/43-localization-i18n.md + frameworks/accessibility-i18n.md "Data pipelines" → agents/38-data-engineering.md + frameworks/data-governance.md "Privacy/DSAR/DPO" → agents/39-privacy-dpo.md + references/compliance/*.md "Internal IT/SSO" → agents/40-it-corp
The most comprehensive open-source product development skill for Claude. 80 agents · 36 frameworks · Research-first, AI-native, depth to the Mariana Trench · Solo founder Day 0 → IPO → public company This is a Claude Skill. Claude reads SKILL.md.