SKILL_TEMPLATE
[1-2 sentence description of what this skill does]. Triggers on [specific phrases/contexts that should activate this skill]. Outputs [what the skill produces].
Classify product approach into one of six types (Clone, Unbundle, Undercut, Slice, Wrapper, Innovation) based on competitive landscape. Triggers on PRD v0.2 work after competitive analysis, or when user asks "what type of product should we build?", "should we clone or
$ npx -y skills add mattgierhart/PRD-driven-context-engineering --skill prd-v02-product-type-classification --agent claude-codeHow it fires
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/prd-v02-product-type-classificationContext preview
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Classify product approach into one of six types (Clone, Unbundle, Undercut, Slice, Wrapper, Innovation) based on competitive landscape. Triggers on PRD v0.2 work after competitive analysis, or when user asks "what type of product should we build?", "should we clone or
name: prd-v02-product-type-classification description: Classify product approach into one of six types (Clone, Unbundle, Undercut, Slice, Wrapper, Innovation) based on competitive landscape. Triggers on PRD v0.2 work after competitive analysis, or when user asks "what type of product should we build?", "should we clone or innovate?", "is this a fast-follow opportunity?", "how should we position against competitors?", "clone vs undercut", "unbundle vs slice", or requests help choosing product strategy. Outputs BR- entries for product type classification and inherited GTM constraints. context: fork allowed-tools: - Read - Write - Edit - Glob - Grep - WebSearch - WebFetch
Position in HORIZON workflow: v0.2 Competitive Landscape → **v0.2 Product Type Classification** → v0.3 Outcome Definition
This skill requires prior work from v0.2:
This skill assumes v0.2 Competitive Landscape is complete with documented landscape analysis.
This skill creates/updates:
Example product type classification entry:
BR-042: Product Type Classification Type: Classification Decision Date: 2026-02-01 Confidence: 70% (source: competitive-landscape-analysis + 3-customer-interviews) Classification: UNDERCUT Rationale: All 3 direct competitors (Notion, Linear, Figma) serve enterprise/mid-market first; SMB segment underserved. We can deliver 80% of feature set at 40% price for SMB-specific workflows. Evidence: - CFD-015 (landscape): "All competitors start at $50/user/month enterprise pricing" - CFD-018 (landscape): "3 SMB teams using workarounds because pricing doesn't fit budget" - CFD-001 (value hypothesis): "$12,500/year value for 5 core features only" GTM Constraints (inherited): - Pricing: Must be <$200/user/month to justify switching - Channel: Direct sales to SMB, not marketplace/enterprise - Scope: Ruthlessly cut features; 5 core + 3 differentiators max - Timeline: Fast iteration with SMB feedback; can't outspend enterprise marketing
| Type | Definition | When Evidence Shows | |------|------------|---------------------| | **Clone** | Copy proven product, execute better | Leader validated market; weak moat; execution gap | | **Unbundle** | Extract one category from horizontal platform | Multi-category platform does your thing poorly | | **Undercut** | Same product, simpler + cheaper for niche | Tool overserves broad market; 60%+ price gap possible | | **Slice** | Plugin/extension in existing ecosystem | Platform has marketplace; users already there | | **Wrapper** | AI/API layer on existing data/tools | Middleware gap between tools; data accessible | | **Innovation** | New solution to known problem | Existing approaches fundamentally broken; high pain |
START: What does v0.2 Competitive Landscape show?
Q1: Is there a dominant horizontal platform doing many things?
YES → Does it do YOUR thing poorly?
YES → UNBUNDLE (extract the vertical)
NO → Continue to Q2
NO → Continue to Q2
Q2: Is there a single-purpose leader with validated market?
YES → Can you price 60%+ lower for a niche?
YES → UNDERCUT
NO → Can you execute better (speed/UX)?
YES → CLONE
NO → Continue to Q3
NO → Continue to Q3
Q3: Does target customer live in a platform ecosystem?
YES → Does platform have marketplace/app store?
YES → SLICE (build extension)
NO → Continue to Q4
NO → Continue to Q4
Q4: Is there a data/API integration gap between tools?
YES → Is the data accessible (API/scraping)?
YES → WRAPPER
NO → Continue to Q5
NO → Continue to Q5
Q5: Are existing solutions fundamentally broken?
YES → Is pain severe enough for education investment?
YES → INNOVATION
NO → Reconsider market
NO → Reconsider market or revisit Q1-Q4| Type | Required Evidence (from v0.2 Landscape) | Confidence Threshold | |------|----------------------------------------|---------------------| | Clone | Revenue proof + feature gap + weak moat | Medium (50%+) | | Unbundle | Platform size + category neglect + user complaints | Medium (50%+) | | Undercut | Price benchmarks + niche pain + simplification path | High (70%+) | | Slice | Platform MAU + marketplace presence + integration docs | High (70%+) | | Wrapper | API availability + use case validation + cost model | High (70%+) | | Innovation | Failed alternatives + severe pain + budget evidence | Very High (85%+) |
After classification, create these entries:
**BR-XXX: Product Type Classification**
Type: [Clone | Unbundle | Undercut | Slice | Wrapper | Innovation] Confidence: [X]% Primary Evidence: [CFD-XXX reference] Classification Rationale: [2-3 sentences]
**BR-XXX: GTM Constraints (inherited from type)**
Pricing Constraint: [See references/gtm-constraints.md] Channel Constraint: [See references/gtm-constraints.md] Scope Constraint: [See references/gtm-constraints.md] Timeline Implication: [See references/gtm-constraints.md]
PRD-Led Context Engineering — Memory as Infrastructure. An ontology layer for product teams building products that solve real problems — with AI agents that remember. Gated PRD, typed IDs, markdown knowledge graph, Claude Code skills & hooks.
Repo: mattgierhart/PRD-driven-context-engineering
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