adr-writer
Generates Architecture Decision Records capturing context, rationale, alternatives, and consequences in numbered status-tracked format. Triggers on: "write an…
Competitive landscape analysis: Porter''s Five Forces, competitor discovery, feature/pricing matrices, positioning maps, moat assessment via WebSearch. Triggers on: "competitive analysis", "competitor comparison", "competitive landscape", "Porter''s Five Forces", "market
$ npx -y skills add Mathews-Tom/armory --skill competitive-analyzer --agent claude-codeHow it fires
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/competitive-analyzerContext preview
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Competitive landscape analysis: Porter''s Five Forces, competitor discovery, feature/pricing matrices, positioning maps, moat assessment via WebSearch. Triggers on: "competitive analysis", "competitor comparison", "competitive landscape", "Porter''s Five Forces", "market
name: competitive-analyzer description: 'Competitive landscape analysis: Porter''s Five Forces, competitor discovery, feature/pricing matrices, positioning maps, moat assessment via WebSearch. Triggers on: "competitive analysis", "competitor comparison", "competitive landscape", "Porter''s Five Forces", "market positioning", "moat assessment", "defensibility analysis".' metadata: version: 1.0.1 complements: [market-analyzer, tavily, web-fetch] category: business tags: [competitive-analysis, market, porters-five-forces, positioning] difficulty: advanced phase: define
Systematic competitive landscape analysis: discovery, force analysis, feature comparison, pricing, positioning, and defensibility assessment.
| Need | Skill | | --------------------------------------------------- | ------------------------------------- | | Analyze competitors, compare features, assess moats | **competitive-analyzer** (this skill) | | Market sizing, TAM/SAM/SOM, demand signals | market-analyzer | | General web research and data gathering | tavily / web-fetch |
Identify competitors across three tiers using WebSearch.
**Tier classification:**
**Discovery sources:**
**Output:** A competitor roster table:
| Competitor | Tier | Founded | Funding | HQ | Est. Revenue | Target Segment | | ---------- | ---- | ------- | ------- | --- | ------------ | -------------- |
Include 5-15 competitors. Fewer than 5 suggests the search was too narrow; more than 15 suggests the scope needs tightening.
Score each force 1-5 with supporting evidence. Reference `references/porters-five-forces.md` for scoring rubric and sub-criteria.
**1. Threat of New Entrants (1-5)**
**2. Supplier Power (1-5)**
**3. Buyer Power (1-5)**
**4. Threat of Substitutes (1-5)**
**5. Competitive Rivalry (1-5)**
**Synthesis:** Calculate overall industry attractiveness (weighted average of forces). Higher scores mean more competitive pressure, lower attractiveness.
Build a comprehensive comparison. Reference `references/competitive-matrix.md` for structuring methodology.
**Feature comparison table:**
| Feature Category | Feature | Competitor A | Competitor B | Competitor C | Our Product | | ---------------- | --------- | ------------ | ------------ | ------------ | ------------ | | Core | Feature 1 | Full | Partial | None | Full | | Integration | API | REST | GraphQL | None | REST+GraphQL | | Support | SLA | 99.9% | 99.5% | None | 99.95% |
Use: Full / Partial / None / Superior (exceeds category standard)
**Feature analysis:**
**Pricing comparison table:**
| Competitor | Model | Free Tier | Entry Price | Mid Tier | Enterprise | Billing | | ---------- | ------------ | --------- | ----------- | --------------- | ---------- | -------------- | | A | Subscription | Yes | $29/mo | $99/mo | Custom | Monthly/Annual | | B | Usage-based | Trial | $0.01/unit | Volume discount | Custom | Monthly |
**Pricing analysis:**
Reference `references/positioning-analysis.md` for dimension selection and mapping methodology.
**Step 1: Dimension selection** Select the two dimensions most important to target customers. Common pairs:
Validate dimension selection against customer research or publicly ava
Curated, production-grade skills, agents, hooks, rules, commands, utilities, and presets for AI coding agents. No magic, no demos — battle-tested workflows built for developers who use AI seriously.
Repo: Mathews-Tom/armory
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