From product-discovery
Run a full multi-agent product discovery exercise that produces a comprehensive product blueprint. Use when the user wants to explore a product idea, validate a concept, create a product blueprint, run product discovery, or get a full-agency analysis of a product opportunity. Triggers on phrases like 'product discovery', 'explore this idea', 'validate this product', 'product blueprint', 'full discovery', 'agency discovery', 'run discovery on', or any request to analyze a product idea from multiple perspectives (market, brand, growth, legal, product strategy, project planning).
How this skill is triggered — by the user, by Claude, or both
Slash command
/product-discovery:product-discoveryThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Orchestrates 8 specialized agents in parallel to produce a comprehensive product blueprint. Each agent brings deep domain expertise — executive summary, market research, product strategy, brand strategy, growth, legal compliance, project management, and a domain-specific specialist chosen based on the product type.
Orchestrates 8 specialized agents in parallel to produce a comprehensive product blueprint. Each agent brings deep domain expertise — executive summary, market research, product strategy, brand strategy, growth, legal compliance, project management, and a domain-specific specialist chosen based on the product type.
The agents are already installed with full personalities and capabilities. This skill dispatches them with product context and assembles their outputs into a unified report.
Extract the product name and description from the user's message.
If the user provided a brief idea (1-3 sentences), ask these clarifying questions before proceeding:
If the user provided a detailed spec (paragraph+), extract the context directly and proceed.
Determine the domain-specific agent for Section 9 based on the product type:
| Product Domain | subagent_type | Section 9 Title |
|---|---|---|
| Spatial / XR / VR / AR | XR Interface Architect | Spatial Interface Architecture |
| AI / ML / LLM | AI Engineer | AI Architecture |
| Mobile app | Mobile App Builder | Mobile Stack |
| Web app / SaaS | Frontend Developer | Frontend Architecture |
| Security | Security Engineer | Security Architecture |
| Data / Analytics | Data Engineer | Data Architecture |
| Blockchain / Web3 | Solidity Smart Contract Engineer | Smart Contract Architecture |
| General / Other | Software Architect | System Architecture |
Launch all 8 agents in a single message using the Agent tool with run_in_background: true for each. The agents already have their full expertise installed — give each one the product context and their section assignment.
All 8 agents must be dispatched in one turn. For each agent, use this prompt structure:
Product discovery exercise for **{PRODUCT_NAME}**.
## Product
{FULL_PRODUCT_DESCRIPTION — include all context gathered in Phase 1}
## Your Assignment
Write **Section {N}: {SECTION_TITLE}** for a comprehensive product discovery report.
Focus on: {SECTION_DELIVERABLES — 2-4 bullet points from the report template}
## Output Format
- Clean markdown starting with `## {N}. {SECTION_TITLE}`
- Use tables, bullet points, and sub-sections
- Be specific, data-driven, and actionable — include concrete numbers, names, tool recommendations
- Target 80-150 lines of markdown
- Cross-reference other sections where relevant (e.g., "aligned with the growth strategy in Section 5")
| Agent Call | subagent_type | Section | Description (for Agent tool) |
|---|---|---|---|
| 1 | Executive Summary Generator | 1. Executive Summary | Executive summary generation |
| 2 | Trend Researcher | 3. Market Validation | Market validation research |
| 3 | Product Manager Agent | 4. Product Strategy & Requirements | Product strategy and requirements |
| 4 | Brand Guardian | 5. Brand Strategy | Brand strategy development |
| 5 | Growth Hacker | 6. Go-to-Market & Growth | GTM and growth strategy |
| 6 | Legal Compliance Checker | 7. Legal & Compliance | Legal and compliance analysis |
| 7 | Project Shepherd | 8. Project Execution Plan | Project execution planning |
| 8 | domain-specific | 9. {Domain Title} | Domain-specific analysis |
Executive Summary Generator (Section 1):
Trend Researcher (Section 3):
Product Manager Agent (Section 4):
Brand Guardian (Section 5):
Growth Hacker (Section 6):
Legal Compliance Checker (Section 7):
Project Shepherd (Section 8):
Domain Agent (Section 9):
As agents complete in the background, you'll be notified. Once all 8 are done:
Read the report template at references/report-template.md
Assemble Section 1: Executive Summary from the Executive Summary Generator's output.
Write Section 2: The Opportunity yourself — summarize:
Assemble Sections 3-9 from the agent outputs. Light editing for consistency is fine, but preserve each agent's analysis and recommendations.
Write Section 10: Cross-Agent Synthesis yourself by analyzing across all 8 outputs:
Save the report using the Write tool to docs/discovery/{product-name-slug}-discovery.md (create the docs/discovery/ directory if it doesn't exist). Use a URL-safe slug for the product name (lowercase, hyphens).
Tell the user the report is ready and where it's saved. Highlight 2-3 key findings from the synthesis.
npx claudepluginhub paixaop/my-claude-skills --plugin product-discoveryGuides greenfield product ideas from raw concept to structured product-concept.md via conversation, capturing vision, core experience, target users, trust model, platforms, and scope.
Guides interactive product discovery sessions as CPO persona through 20 questions on foundation, market, strategy, and technical context. Saves responses and generates strategy docs.
Turns a raw idea into four structured files: clarifying questions, deep research, PRD with metrics, and phased execution plan with mermaid diagram. Classifies ideas by complexity and builder sophistication before generating any output.