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Synthesizes competitive research into strategic insights, SWOT analyses, and positioning recommendations. Activates when the user wants a competitive analysis, market positioning review, competitor comparison matrix, or asks 'how do we stack up against the competition?' Identifies market gaps and strategic opportunities.
| name | Market Analysis |
| description | Synthesizes competitive research into strategic insights, SWOT analyses, and positioning recommendations. Activates when the user wants a competitive analysis, market positioning review, competitor comparison matrix, or asks 'how do we stack up against the competition?' Identifies market gaps and strategic opportunities. |
| version | 1.0.0 |
Synthesize competitive research data into strategic insights. This skill takes structured competitor data (from the competitive-research skill) and produces SWOT analyses, positioning characterizations, multi-competitor matrices, and actionable strategic recommendations.
Construct SWOT analysis from gathered data rather than guessing. Each quadrant maps to specific data signals:
Strengths (infer from):
Weaknesses (infer from):
Opportunities (infer from):
Threats (infer from):
Present SWOT as a 2x2 matrix summary followed by bulleted details. Consult skills/compete/market-analysis/references/analysis-frameworks.md for SWOT templates and inference rules.
Classify each competitor into a primary positioning archetype based on messaging and target audience signals:
| Archetype | Signals | Example Messaging |
|---|---|---|
| Enterprise Leader | "Security", "compliance", "scale", complex pricing | "Built for teams of all sizes" |
| SMB Friendly | Affordable pricing, simple UI focus, self-serve | "Get started in minutes" |
| Developer-First | API-first, technical docs, GitHub integration | "Built by developers, for developers" |
| Non-Technical Founder | No-code, templates, guided setup | "No coding required" |
| Vertical Specialist | Industry-specific features, compliance focus | "Built for [industry]" |
| Challenger/Disruptor | "vs [category leader]", price disruption | "Everything [X] does, at half the price" |
Analyze tagline, value prop, and homepage content to extract:
Identify which market segments each competitor targets:
Activate self-comparison analysis when the user provides --your-product="description". Use the description to:
Build a feature comparison across key dimensions.
For each research dimension, assess:
Prioritize gaps that appear in competitor review complaints — these are unmet needs users actively express.
Identify positioning whitespace by mapping:
The most valuable differentiation opportunity = overcrowded segment with high user complaints + underserved segment with demand signals.
Assess price positioning relative to competitors:
Recommend pricing angle based on the product description and competitive gaps found.
Generate 3-5 actionable recommendations. Each recommendation must:
| Type | Trigger Signal | Example |
|---|---|---|
| Pricing adjustment | Competitors significantly cheaper/pricier | "Introduce a $19/month solo tier to capture self-serve market" |
| Feature gap | Competitors missing feature users want | "Add Slack integration — top complaint across 3 competitors" |
| Messaging pivot | Positioning whitespace identified | "Lead with 'for agencies' messaging — no competitor owns this segment" |
| Market segment | Underserved segment found | "Target freelancers — no competitor has self-serve pricing below $30/month" |
| Competitive defense | Competitor directly threatening position | "Highlight [differentiator] in onboarding — competitor X just launched similar feature" |
Order recommendations by: Impact x Urgency
Use these 7 dimensions as matrix rows when comparing multiple competitors:
| Dimension | What to Include |
|---|---|
| Pricing | Starting price, pricing model, free tier |
| Target Market | Primary audience and company size |
| Key Features | 3-5 standout capabilities |
| Positioning | Primary messaging angle and archetype |
| Review Score | Composite score with platform breakdown |
| Strengths | Top 2-3 competitive advantages |
| Weaknesses | Top 2-3 notable gaps or complaints |
Make matrix entries scannable by normalizing:
per user/month or flat/month for comparabilityX.X/5.0 (N reviews on G2)When --your-product is provided, add a rightmost "You" column. For each dimension:
Before generating analysis, verify minimum data thresholds:
Assign confidence levels to major conclusions:
When research data is sparse or ambiguous:
When called after /founder-os:compete:research or with structured competitor data, follow this sequence:
skills/compete/market-analysis/references/analysis-frameworks.mdskills/compete/market-analysis/references/analysis-frameworks.md Section 5 for step-by-step processResearches individual competitors via web search to gather pricing, features, positioning, and reviews. Activates when the user wants to research a competitor, gather intel on a company, or asks 'what does [company] offer?' Covers multi-source intelligence gathering across official sites, review platforms, and community discussions.
Extracts structured terms from legal contracts across 7 categories (Payment, Duration, IP, Confidentiality, Liability, Termination, Warranty). Activates when the user has a contract to analyze, wants to extract terms, review an agreement, or asks 'what does this contract say?' Supports PDF, DOCX, MD, and TXT formats with auto contract-type detection.
Evaluates contracts for harmful, unusual, or one-sided clauses using Red/Yellow/Green risk classification. Activates when the user wants to find contract red flags, assess legal risks, check for unfair terms, or asks 'is this contract safe to sign?' Provides plain-English explanations and concrete mitigation suggestions for freelancers and agency founders.
Creates and manages activity records in the CRM Communications database with AI-generated summaries. Activates when the user wants to log an email or meeting to CRM, record a client interaction, or asks 'save this to the client record.' Handles idempotent operations, deduplication, and AI summarization.
Matches email addresses and meeting attendees to CRM contacts using progressive matching. Activates when the user needs to identify which client an email belongs to, resolve a contact, or look up a client from an email address. Uses a 5-step algorithm from exact email match to fuzzy name matching with confidence scoring.
Orchestrates the full sync pipeline from Gmail and Calendar data to CRM Communications records in Notion. Activates when the user wants to sync emails or meetings to CRM, log client activities, or asks 'update my CRM with recent communications.' Handles single-item and batch sync with deduplication and error recovery.
