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Get Started Free →Define go-to-market strategy including launch plan, messaging, channels, and timing during PRD v0.9 Go-to-Market. Triggers on requests to plan launch, define GTM strategy, or when user asks "how do we launch?", "go-to-market", "launch plan", "marketing strategy", "messaging", "launch channels", "GTM". Outputs GTM- entries with launch plan components.
.claude/skills/nicepkg-prd-v09-gtm-strategy/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-01 | ✗→✓ | ▲ Improved | 4% | 0% |
| case-02 | ✗→✓ | ▲ Improved | 26% | 0% |
| case-07 | ✗→✓ | ▲ Improved | 86% | 0% |
| case-10 | ✗→✓ | ▲ Improved | 71% | 0% |
| case-11 | ✗→✓ | ▲ Improved | 129% | 0% |
Position in workflow: v0.8 Monitoring Setup → v0.9 GTM Strategy → v0.9 Launch Metrics
Define how the product reaches its target users—the channels, messaging, timing, and coordination required for a successful launch.
> A launch is not "making the product available." It is a coordinated campaign that creates awareness, drives activation, and captures feedback. Every touchpoint should move users toward value.
| Component | Purpose | Output | |-----------|---------|--------| | Messaging | What we say | GTM- (value props, headlines) | | Channels | Where we say it | GTM- (channel strategy) | | Timing | When we launch | GTM- (timeline, phases) | | Coordination | Who does what | GTM- (RACI, tasks) |
GTM-XXX: [GTM Item Title]
Type: [Messaging | Channel | Timeline | Task | Asset]
Owner: [Person or team responsible]
Status: [Planned | In Progress | Ready | Live]
For Messaging Type:
Audience: [PER-XXX targeted]
Format: [Headline | Value Prop | Tagline | Elevator Pitch]
Message: [The actual copy]
Supporting Evidence: [CFD-XXX value hypothesis it's based on]
Where Used: [GTM-YYY channels, assets]
For Channel Type:
Channel: [Specific platform or medium]
Audience Fit: [Why this channel reaches PER-XXX]
Strategy: [How we'll use this channel]
Content Plan: [What content goes here]
Success Metric: [How we measure effectiveness]
Linked Assets: [GTM-YYY assets for this channel]
For Timeline Type:
Phase: [Pre-launch | Launch Day | Week 1 | Month 1]
Date: [Specific date or relative timing]
Activities: [What happens in this phase]
Dependencies: [What must be ready]
Milestones: [Key checkpoints]
For Task Type:
Task: [What needs to be done]
Owner: [Who is responsible]
Due: [When it's due]
Dependency: [What it depends on]
Deliverable: [What's produced]
For Asset Type:
Asset: [What this is — landing page, email, video]
Purpose: [What it accomplishes]
Channel: [GTM-YYY where it's used]
Copy: [GTM-YYY messaging used]
Status: [Draft | Review | Approved | Live]
Linked IDs: [PER-XXX, CFD-XXX, KPI-XXX related]Example GTM- entries:
GTM-001: Primary Value Proposition
Type: Messaging
Owner: Product Marketing
Status: Ready
Audience: PER-001 (Startup Founder)
Format: Value Prop
Message: "Ship faster with AI that understands your codebase.
Context-aware coding assistance that reduces debugging
time by 40%."
Supporting Evidence: CFD-010 (time savings validated in interviews)
Where Used: GTM-005 (Landing Page), GTM-010 (Product Hunt)
Linked IDs: PER-001, CFD-010, KPI-001GTM-002: Product Hunt Launch
Type: Channel
Owner: Growth Team
Status: Planned
Channel: Product Hunt
Audience Fit: PER-001 (Startup Founder) frequents PH for tools
Strategy:
- Launch on Tuesday 12:01 AM PT
- Engage with comments first 24 hours
- Share maker story
- Prepare demo video
Content Plan:
- Tagline: GTM-001 (Primary Value Prop)
- Maker comment: GTM-003 (Founder Story)
- Demo video: GTM-006 (Product Demo)
Success Metric: Top 5 product of the day, 500+ upvotes
Linked IDs: PER-001, GTM-001, GTM-003, GTM-006, KPI-005GTM-003: Launch Week Timeline
Type: Timeline
Owner: Launch Coordinator
Status: Planned
Phase: Launch Week
Day -7 (Pre-launch):
- [ ] Email list teaser
- [ ] Social media hints
- [ ] Press outreach
Day -1:
- [ ] Final staging verification
- [ ] Launch assets approved
- [ ] Team roles confirmed
Day 0 (Launch):
- [ ] Product Hunt live at 12:01 AM PT
- [ ] Social media posts scheduled
- [ ] Email to waitlist
- [ ] Monitor and engage
Day 1-3:
- [ ] Respond to all feedback
- [ ] Fix any critical issues
- [ ] Share early wins
Day 4-7:
- [ ] Publish case study
- [ ] Analyze metrics
- [ ] Plan iteration
Dependencies: DEP- release criteria met, MON- monitoring active
Milestones: 1000 signups (Day 3), First paying customer (Day 7)
Linked IDs: DEP-002, MON-005, KPI-001GTM-004: Landing Page Hero Section
Type: Asset
Owner: Design + Marketing
Status: In Progress
Asset: Landing page hero section
Purpose: Convert visitors to signups
Channel: GTM-007 (Website), GTM-002 (Product Hunt referrals)
Copy: GTM-001 (Primary Value Prop)
Status: Review
Components:
- Headline: "Ship faster with AI that understands your codebase"
- Subhead: "Context-aware coding assistance that reduces
debugging time by 40%"
- CTA: "Start Free Trial" → /signup
- Social proof: "Trusted by 500+ developers"
- Demo video thumbnail: GTM-006
Linked IDs: GTM-001, GTM-006, SCR-001Match channels to product type (from v0.2 BR-):
| Product Type | Primary Channels | Strategy | |--------------|------------------|----------| | Fast Follow | SEO, Paid, Aggregators | "We're the better competitor]" | | Slice | Community, Integrations, Partnerships | "Best thing] for ecosystem]" | | Innovation | Content, PR, Events | "Here's why this matters" |
| Category | Examples | Best For | |----------|----------|----------| | Owned | Website, Blog, Email, Product | Control message, build audience | | Earned | PR, Reviews, Word-of-mouth | Credibility, reach | | Paid | Ads, Sponsorships, Influencers | Scale, targeting | | Community | Forums, Discord, Twitter | Engagement, feedback |
| Level | Purpose | Example | |-------|---------|---------| | Mission | Why we exist | "Make developers 10x more productive" | | Value Prop | What we offer | "AI that understands your codebase" | | Differentiator | Why us vs others | "Context-aware, not just autocomplete" | | Proof Point | Why believe us | "40% reduction in debugging time" | | CTA | What to do next | "Start your free trial" |
| Phase | Duration | Focus | Success Metric | |-------|----------|-------|----------------| | Teaser | 2 weeks pre | Build anticipation | Waitlist signups | | Launch | Day 0-3 | Maximum impact | Traffic, signups | | Momentum | Week 1-4 | Sustain interest | Activation, feedback | | Steady State | Month 2+ | Optimize funnel | Conversion, retention |
| Pattern | Signal | Fix | |---------|--------|-----| | Launch and leave | Big launch day, then silence | Plan 30 days of post-launch activity | | Everything everywhere | All channels, no focus | Pick 2-3 channels, do them well | | Features not benefits | "We have X, Y, Z" | "You can achieve X, Y, Z" | | No measurement | "The launch went well (I think)" | Define KPI- before launch | | Ignoring personas | Generic messaging for everyone | Tailor by PER- | | Over-promising | "Revolutionary AI" without proof | Ground in CFD- evidence |
Before proceeding to Launch Metrics:
| Consumer | What It Uses | Example | |----------|--------------|---------| | Launch Metrics | GTM- channels inform tracking | GTM-002 (PH) → KPI-005 (PH upvotes) | | Feedback Loop Setup | GTM- channels become feedback sources | GTM-002 comments → CFD-100 | | Content Creation | GTM- messaging guides content | GTM-001 → blog post theme | | Sales | GTM- messaging for outreach | GTM-001 → sales email template |
references/messaging-examples.mdassets/gtm-template.mdreferences/channel-guide.mdreferences/timeline-template.md| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→pass | 38,351 | 25,953 | -32% | 1 | 1 | 0% | 6,238 | 6,488 | +4% | 0 | 0 | — |
case-02 | fail→pass | 37,329 | 30,768 | -18% | 1 | 1 | 0% | 6,233 | 7,839 | +26% | 0 | 0 | — |
case-03 | fail→fail | 36,203 | 23,855 | -34% | 1 | 1 | 0% | 6,223 | 6,540 | +5% | 0 | 0 | — |
case-04 | pass→pass | 18,512 | 19,931 | +8% | 1 | 1 | 0% | 3,388 | 6,306 | +86% | 0 | 0 | — |
case-05 | pass→pass | 21,498 | 22,696 | +6% | 1 | 1 | 0% | 3,253 | 6,024 | +85% | 0 | 0 | — |
case-06 | pass→pass | 15,336 | 17,366 | +13% | 1 | 1 | 0% | 2,229 | 5,016 | +125% | 0 | 0 | — |
case-07 | fail→pass | 18,129 | 16,082 | -11% | 1 | 1 | 0% | 2,604 | 4,842 | +86% | 0 | 0 | — |
case-08 | pass→pass | 17,172 | 15,258 | -11% | 1 | 1 | 0% | 2,372 | 4,942 | +108% | 0 | 0 | — |
case-09 | pass→pass | 19,687 | 17,493 | -11% | 1 | 1 | 0% | 2,907 | 5,164 | +78% | 0 | 0 | — |
case-10 | fail→pass | 12,633 | 5,723 | -55% | 1 | 1 | 0% | 2,020 | 3,446 | +71% | 0 | 0 | — |
case-11 | fail→pass | 9,937 | 5,886 | -41% | 1 | 1 | 0% | 1,537 | 3,524 | +129% | 0 | 0 | — |
case-12 | fail→pass | 9,917 | 4,715 | -52% | 1 | 1 | 0% | 1,399 | 3,311 | +137% | 0 | 0 | — |
case-13 | pass→pass | 14,020 | 9,891 | -29% | 1 | 1 | 0% | 2,044 | 4,024 | +97% | 0 | 0 | — |
case-14 | pass→pass | 11,828 | 5,815 | -51% | 1 | 1 | 0% | 1,910 | 3,555 | +86% | 0 | 0 | — |
case-15 | fail→pass | 17,756 | 10,818 | -39% | 1 | 1 | 0% | 2,527 | 4,349 | +72% | 0 | 0 | — |
case-16 | fail→pass | 20,124 | 16,472 | -18% | 1 | 1 | 0% | 2,942 | 5,017 | +71% | 0 | 0 | — |
case-17 | pass→pass | 18,918 | 7,315 | -61% | 1 | 1 | 0% | 2,717 | 3,679 | +35% | 0 | 0 | — |
case-18 | fail→pass | 16,728 | 9,247 | -45% | 1 | 1 | 0% | 2,550 | 4,082 | +60% | 0 | 0 | — |
case-19 | fail→pass | 15,815 | 10,562 | -33% | 1 | 1 | 0% | 2,379 | 4,423 | +86% | 0 | 0 | — |
case-20 | fail→pass | 10,458 | 4,961 | -53% | 1 | 1 | 0% | 1,659 | 3,405 | +105% | 0 | 0 | — |
case-21 | pass→pass | 4,965 | 2,426 | -51% | 1 | 1 | 0% | 764 | 2,923 | +283% | 0 | 0 | — |
case-22 | fail→pass | 8,386 | 2,022 | -76% | 1 | 1 | 0% | 1,350 | 2,860 | +112% | 0 | 0 | — |
case-23 | pass→pass | 9,326 | 6,150 | -34% | 1 | 1 | 0% | 1,140 | 3,447 | +202% | 0 | 0 | — |
case-24 | fail→pass | 8,337 | 3,260 | -61% | 1 | 1 | 0% | 1,284 | 3,069 | +139% | 0 | 0 | — |
case-25 | fail→pass | 9,378 | 3,717 | -60% | 1 | 1 | 0% | 1,411 | 3,131 | +122% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 25 cases were attempted. The headline lift of +56 percentage points is the difference between those two pass rates over the 25 comparable cases.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.