Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Comprehensive competitive intelligence system covering market mapping, product teardowns, pricing analysis, win/loss insights, battlecards, and strategic com...
Comprehensive competitive intelligence system covering market mapping, product teardowns, pricing analysis, win/loss insights, battlecards, and strategic com...
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
A complete system for understanding, tracking, and outmaneuvering competitors. Covers market mapping, product analysis, pricing intelligence, sales battlecards, win/loss analysis, and ongoing monitoring.
Entering a new market or launching a product Losing deals to competitors and need to understand why Quarterly strategy reviews Pricing decisions (new product or adjustment) Sales team needs competitive talking points M&A due diligence on a target or acquirer Investor pitch prep (show you understand the landscape) Content strategy informed by competitor gaps
Classify every competitor into one of four tiers: TierDefinitionExampleMonitoring FrequencyDirectSame product, same buyerYour closest rivalsWeeklyAdjacentDifferent product, overlapping buyerPlatform expanding into your spaceBi-weeklyIndirectDifferent solution to same problemSpreadsheets replacing your SaaSMonthlyEmergingEarly-stage, same visionYC startups in your categoryMonthly
Search these sources systematically: Google: "[your category] software/tool/service" โ note top 10 organic + ads G2/Capterra/TrustRadius: Your category page โ note top 10 by reviews Product Hunt: Search your keywords โ sort by votes Crunchbase: Search your category โ filter funded companies LinkedIn: "[competitor name]" company pages โ note employee count trends Reddit/HN: "alternative to [leader]" or "[category] recommendations" Customer interviews: "Who else did you evaluate?" Lost deal notes: Who did you lose to and why?
market_map: category: "[Your Category]" date: "YYYY-MM-DD" total_addressable_market: "$XB" competitors: - name: "Competitor A" tier: "direct" website: "https://..." founded: 2019 funding: "$50M Series B" estimated_revenue: "$10-20M ARR" employee_count: 150 employee_trend: "growing" # growing | stable | shrinking hq: "San Francisco, CA" key_customers: ["Customer 1", "Customer 2"] primary_market: "mid-market" # smb | mid-market | enterprise positioning: "All-in-one platform for X" strengths: ["Feature A", "Strong brand"] weaknesses: ["Expensive", "Slow support"] threat_level: "high" # low | medium | high | critical notes: ""
For each direct competitor, build a feature comparison: feature_matrix: last_updated: "YYYY-MM-DD" categories: - name: "Core Features" features: - name: "Feature X" us: "full" # none | partial | full | superior competitor_a: "full" competitor_b: "partial" weight: 5 # 1-5 importance to buyer notes: "We have deeper customization" - name: "Feature Y" us: "none" competitor_a: "full" competitor_b: "full" weight: 3 notes: "On our roadmap for Q3" - name: "Integrations" features: - name: "Salesforce" us: "full" competitor_a: "partial" weight: 4
Score each competitor's product (0-10 per dimension): DimensionWhat to EvaluateWeightEase of SetupTime to first value, onboarding friction15%Core UXPrimary workflow efficiency, intuitiveness25%Feature DepthCovers edge cases, power user needs20%ReliabilityUptime, bugs encountered, error handling15%IntegrationsEcosystem breadth, API quality10%SupportResponse time, quality, self-serve resources10%MobileNative quality, feature parity5% Total = weighted sum. Compare across competitors.
pricing_intel: date: "YYYY-MM-DD" competitors: - name: "Us" model: "per-seat" # per-seat | usage | flat | hybrid | freemium entry_price: "$29/user/mo" mid_price: "$79/user/mo" enterprise_price: "Custom" free_tier: true free_limits: "5 users, 1000 records" annual_discount: "20%" contract_required: false implementation_fee: "$0" hidden_costs: [] - name: "Competitor A" model: "per-seat" entry_price: "$49/user/mo" mid_price: "$99/user/mo" enterprise_price: "Custom ($150+/user)" free_tier: false annual_discount: "15%" contract_required: true # annual minimum implementation_fee: "$5,000" hidden_costs: ["API access on enterprise only", "SSO $50/user extra"]
Answer these questions: Where do we sit? Map all competitors on a 2x2: Price (lowโhigh) vs Feature depth (basicโadvanced) Who's cheapest? At 10 users? 50 users? 200 users? (pricing often crosses over at scale) Total Cost of Ownership: Include implementation, training, migration, hidden fees Value ratio: Features-per-dollar compared to each competitor Pricing trend: Are competitors raising prices? (check Wayback Machine on /pricing) Discount behavior: Do they discount aggressively in deals? (ask sales team, check G2 reviews mentioning price)
Based on analysis, recommend one of: StrategyWhen to UseRiskPremiumClearly superior product + brandLosing price-sensitive dealsParitySimilar product, compete on other axesRace to bottomPenetrationNew entrant, need market share fastPerception of low qualityValueBetter product at lower priceMargin pressure if costs riseNicheSpecialized for segment competitors ignoreSmall TAM
For the sales team's daily use: ObjectionShort ResponseProof Point"Too expensive"[Value reframe][ROI stat or customer quote]"Never heard of you"[Social proof][Customer logos, G2 rank]"Missing [feature]"[Alternative or roadmap][Workaround or timeline]"Happy with current tool"[Trigger question][Common pain with incumbent]"Need enterprise features"[What we have][Enterprise customer reference]
After every significant deal (won or lost), capture: win_loss: deal: "[Company Name]" date: "YYYY-MM-DD" outcome: "won" # won | lost | no-decision deal_size: "$X ARR" sales_cycle_days: 45 competitors_evaluated: ["Competitor A", "Competitor B"] decision_factors: - factor: "Ease of use" importance: 5 # 1-5 our_score: 4 # 1-5 winner_score: 3 notes: "Demo experience was decisive" - factor: "Price" importance: 4 our_score: 3 winner_score: 4 notes: "We were 20% more expensive but justified by ROI" - factor: "Integration with Salesforce" importance: 5 our_score: 5 winner_score: 2 notes: "They required middleware; we're native" champion: "VP of Sales" decision_maker: "CRO" buying_trigger: "Previous tool couldn't scale past 50 users" key_quote: "Your Salesforce integration sealed the deal" lessons: - "Lead with integration story for Salesforce-heavy orgs" - "ROI calculator was critical for justifying premium price"
Track quarterly: ## Q[X] Win/Loss Summary ### Win Rate by Competitor | Competitor | Wins | Losses | Win Rate | Trend | |-----------|------|--------|----------|-------| | Competitor A | 12 | 8 | 60% | โ (was 50%) | | Competitor B | 5 | 15 | 25% | โ (was 35%) | | No competition | 20 | 3 | 87% | โ | ### Top Win Reasons (ranked by frequency) 1. Ease of use (mentioned in 65% of wins) 2. Integration depth (55%) 3. Customer support (40%) ### Top Loss Reasons (ranked by frequency) 1. Price (mentioned in 70% of losses) 2. Missing [specific feature] (45%) 3. Incumbent relationship (30%) ### Action Items from This Quarter's Losses 1. [Feature gap] โ Product team building for Q[X+1] 2. [Price objection] โ New ROI calculator + case study 3. [Competitor strength] โ Invest in [counter-strategy]
Set up monitoring for each direct competitor: SignalSourceFrequencyWhat to Look ForProduct changesTheir changelog/blogWeeklyNew features, deprecationsPricing changes/pricing page + WaybackMonthlyPrice increases, new tiers, model changesHiringLinkedIn JobsBi-weeklyEngineering surge = new product. Sales surge = growth pushFundingCrunchbase, TechCrunchAs it happensNew round = aggressive expansion comingLeadershipLinkedIn, pressAs it happensNew CEO/CRO = strategy shift likelyReviewsG2, CapterraMonthlySentiment shifts, recurring complaintsContentTheir blog, socialWeeklyMessaging changes, new positioningCustomersPress releases, case studiesMonthlyLogos gained, industries targetedCommunityReddit, HN, TwitterWeeklyComplaints, praise, feature requests
Market map update (15 min): Any new entrants? Any exits? Tier changes? Feature gap review (20 min): What did competitors ship? What should we respond to? Win/loss trends (15 min): Are we gaining or losing ground? Against whom? Pricing check (10 min): Any pricing changes? Is our positioning still right? Battlecard refresh (15 min): Update all active battlecards Strategic decisions (15 min): Based on all intel, what should we invest in / deprioritize?
Rate your moat and each competitor's (1-5): Moat TypeDescriptionUsComp AComp BNetwork EffectsProduct gets better with more usersSwitching CostsPain of leaving increases over timeData AdvantageProprietary data that improves productBrandTrust, recognition, preferenceScale EconomiesCost advantages from sizeRegulatoryLicenses, certifications, complianceTechnologyPatents, proprietary tech, speedEcosystemIntegrations, partnerships, marketplace Total moat score = sum. Higher = harder to displace.
After mapping all competitors, look for: Underserved segments: Customer types everyone ignores (too small? too niche? too complex?) Unmet needs: Features/capabilities no one offers that customers actually want Experience gaps: The workflow everyone does poorly Business model innovation: Could you win by charging differently? (usage vs seat vs outcome-based) Channel gaps: Where are customers NOT being reached? (vertical communities, specific geographies, languages)
Monitor patent filings in your space (Google Patents) Watch YC/Techstars demo days for category entrants Track job postings at big tech for [your category] keywords โ could signal internal build
Search in target language for your category Check local review sites (Capterra has country-specific) Different markets have different leaders โ map per region
If you build on a platform (Salesforce, Shopify, etc.), monitor the platform itself Platforms often build features that commoditize plugins Track platform's acquisition history in your space
โ Public information (websites, press, job postings, reviews, patents) โ Customer feedback about competitors (win/loss interviews) โ Product trials and demos (sign up normally) โ Fake identities to access gated content โ Poaching employees for intel โ Accessing confidential documents โ Reverse engineering protected code
CommandWhat It Does"Map my competitive landscape"Full Phase 1 market mapping"Tear down [competitor]"Product teardown (Phase 2)"Compare pricing with [competitors]"Pricing intelligence (Phase 3)"Build battlecard for [competitor]"Sales battlecard (Phase 4)"Analyze our win/loss data"Win/loss patterns (Phase 5)"Weekly competitive brief"Monitoring summary (Phase 6)"Assess our competitive moat"Strategic analysis (Phase 7)"Find blue ocean opportunities"Gap analysis (Phase 7.3)"How should we respond to [competitor move]?"Response prediction (Phase 7.2)"Full competitive review"All phases, comprehensive output
Long-tail utilities that do not fit the current primary taxonomy cleanly.
Largest current source with strong distribution and engagement signals.