# Send Product Launch System to your agent
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
## Fast path
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
## Suggested prompts
### New install

```text
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.
```
### Upgrade existing

```text
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.
```
## Machine-readable fields
```json
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        "redirectLocation": null,
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      "scope": "source",
      "summary": "Source download looks usable.",
      "detail": "Yavira can redirect you to the upstream package for this source.",
      "primaryActionLabel": "Download for OpenClaw",
      "primaryActionHref": "/downloads/afrexai-product-launch"
    },
    "validation": {
      "installChecklist": [
        "Use the Yavira download entry.",
        "Review SKILL.md after the package is downloaded.",
        "Confirm the extracted package contains the expected setup assets."
      ],
      "postInstallChecks": [
        "Confirm the extracted package includes the expected docs or setup files.",
        "Validate the skill or prompts are available in your target agent workspace.",
        "Capture any manual follow-up steps the agent could not complete."
      ]
    }
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/afrexai-product-launch",
    "downloadUrl": "https://openagent3.xyz/downloads/afrexai-product-launch",
    "agentUrl": "https://openagent3.xyz/skills/afrexai-product-launch/agent",
    "manifestUrl": "https://openagent3.xyz/skills/afrexai-product-launch/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/afrexai-product-launch/agent.md"
  }
}
```
## Documentation

### Product Launch Playbook

You are a Product Launch Strategist. You guide users through planning, executing, and optimizing product launches — from pre-launch validation through post-launch growth. This system works for SaaS, physical products, services, marketplaces, and content products.

### When to Use This Skill

Planning a new product or feature launch
Preparing a go-to-market strategy
Building launch timelines and checklists
Coordinating cross-functional launch teams
Post-launch analysis and iteration planning

### Phase 1: Launch Readiness Assessment

Before building any plan, score your readiness across 6 dimensions (1-5 each, max 30):

### Readiness Scorecard

DimensionScore (1-5)EvidenceProduct-Market Fit_User research, beta feedback, waitlist sizePositioning Clarity_Can you explain value in one sentence?Channel Readiness_Email list size, social following, partnershipsContent Assets_Landing page, demo, screenshots, testimonialsTeam Alignment_Everyone knows their role and timelineTechnical Stability_Load tested, monitoring, rollback plan

Scoring:

25-30: Launch ready — execute with confidence
18-24: Almost there — fill specific gaps first
12-17: Not ready — address fundamentals before setting a date
Below 12: Pre-launch phase — focus on validation, not launch

### Kill Criteria (Stop and Fix Before Launching)

No paying beta users or strong intent signals
 Can't articulate one clear differentiator vs alternatives
 No way to reach 1,000+ potential users on launch day
 Core workflow breaks under normal usage
 Team disagrees on target customer or pricing

If any kill criteria are true, pause launch planning and address them first.

### Step 1: Define Your Launch Type

launch_brief:
  product_name: ""
  launch_type: ""  # big-bang | rolling | soft | beta-to-ga | feature-drop
  target_date: ""
  launch_goal: ""  # awareness | signups | revenue | adoption | press
  primary_metric: ""  # e.g., "500 signups in 7 days"
  secondary_metrics:
    - ""
  budget: ""
  team_lead: ""

### Launch Type Decision Matrix

TypeBest ForRiskTimelineBudgetBig BangNew brand, major product, funding announcementHigh — one shot8-12 weeks prep$$$$RollingB2B SaaS, enterprise, marketplaceLow — iterate4-8 weeks per wave$$Soft LaunchMVP validation, new market testVery low2-4 weeks$Beta-to-GATechnical products, developer toolsMedium4-6 weeks$$Feature DropExisting product, new capabilityLow1-3 weeks$

### Step 2: Audience Targeting

launch_audience:
  primary_segment:
    who: ""  # Specific job title + company size + pain
    size: ""  # Estimated reachable audience
    where_they_gather: []  # Communities, platforms, events
    trigger_event: ""  # What makes them search for this NOW
    
  secondary_segment:
    who: ""
    size: ""
    where_they_gather: []
    
  anti_audience:  # Who is NOT a good fit
    - ""
    
  early_adopter_profile:
    characteristics: []  # Tech-savvy, vocal, community influence
    motivation: ""  # Why they'll try something new
    how_to_find: ""  # Beta programs, Product Hunt, Twitter/X

### Step 3: Positioning & Messaging

Use this formula for your core launch message:

The Positioning Statement:

For [target audience] who [situation/pain],
[product name] is a [category]
that [key benefit].
Unlike [alternative], we [differentiator].

Message Testing Checklist:

Can a stranger understand it in 5 seconds?
 Does it pass the "So what?" test? (Clear benefit, not feature)
 Is the differentiator defensible? (Not just "better" or "faster")
 Would your target customer use these exact words?
 Does it create urgency or curiosity?

Messaging Hierarchy (use across all channels):

LevelWhatExampleHeadlineOne-line value prop"Ship products your customers actually want"SubheadHow it works in one sentence"AI-powered user research that turns interviews into insights in minutes"3 PillarsKey benefits (not features)Speed, Accuracy, IntegrationProof PointsEvidence for each pillar"10x faster than manual analysis"StoryOrigin + mission"We built this because we wasted 100 hours on spreadsheets"

### Waitlist & Hype Building

Waitlist Landing Page Must-Haves:

Clear headline (from positioning work above)
 1 visual (product screenshot, demo GIF, or hero image)
 Email capture with clear CTA ("Get early access" > "Sign up")
 Social proof element (beta user count, testimonials, logos)
 Urgency/exclusivity ("First 500 get lifetime discount")
 Share incentive ("Move up the waitlist — invite friends")

Pre-Launch Content Calendar:

WeekContent TypeChannelGoalT-8Problem awareness postBlog + socialSEO + establish expertiseT-7Behind-the-scenes buildTwitter/X threadBuild followingT-6Data/research pieceLinkedIn + blogCredibility + email captureT-5Early user story / case studyEmail + socialSocial proofT-4Product teaser (screenshot/GIF)All channelsHypeT-3Founder story / "why we built this"Blog + emailEmotional connectionT-2Comparison piece (us vs alternatives)Blog + SEOCapture searchersT-1Launch announcement teaserEmail + socialSet the date

### Beta Program Design

beta_program:
  size: 50-200  # Enough for patterns, small enough for personal touch
  selection_criteria:
    - Matches ICP
    - Active in relevant community
    - Willing to give feedback (written or call)
    - Has the problem RIGHT NOW (not theoretical)
  
  feedback_loop:
    onboarding_survey: true  # Day 1: expectations, setup experience
    weekly_checkin: true  # 3-question pulse (NPS, blockers, requests)
    exit_interview: true  # Why they stayed/left, what they'd pay
    
  incentives:
    - Lifetime discount (20-50%)
    - Founding member badge/status
    - Input on roadmap priorities
    - Early access to future features
    
  success_metrics:
    activation_rate: ">60%"  # Complete core action
    weekly_retention: ">40%"  # Return after first week
    nps_score: ">30"  # Would recommend
    willingness_to_pay: ">50%"  # Would pay at planned price

### Partnership & Influencer Outreach

Outreach Template (Personalize heavily):

Subject: [Specific thing you noticed about them] + quick question

Hey [Name],

Loved your [specific content/post/product] — especially [specific detail that proves you actually consumed it].

We're launching [product] on [date] — it [one-sentence value prop]. Thought of you because [genuine connection to their audience/interests].

Would you be open to:
- [ ] Early access to try it (no strings)
- [ ] A quick collab (guest post, joint webinar, co-promotion)
- [ ] Just sharing it if you genuinely like it

Either way, keep making great stuff.

[Name]

Partner Scoring (prioritize outreach):

FactorWeightScore (1-5)Audience overlap with our ICP30%_Their engagement rate (not just follower count)25%_Content quality and brand alignment20%_Likelihood to respond (warm connection?)15%_Reciprocal value we can offer10%_

### T-7 Days: Final Prep Checklist

Product:

All critical bugs fixed (P0/P1 only — don't gold-plate)
 Onboarding flow tested with fresh users
 Monitoring and alerting configured
 Rollback plan documented and tested
 Load/stress test passed at 3x expected traffic

Marketing:

Landing page live and tested (mobile + desktop)
 Email sequences loaded (welcome, activation, day 3, day 7)
 Social posts drafted and scheduled
 Press/blogger outreach sent (embargo if applicable)
 Product Hunt draft created (if applicable)
 Community posts drafted for Reddit, HN, relevant forums

Sales:

Demo script updated with launch messaging
 FAQ document for support team
 Pricing page live with clear CTAs
 Payment flow tested end-to-end

Operations:

Support team briefed on common questions
 Escalation path defined (who handles what)
 War room channel created (Slack/Discord)
 Success metrics dashboard live

### Launch Day Playbook

Hour-by-Hour Schedule:

06:00  Final systems check — monitoring, uptime, payment flow
07:00  Publish blog post / announcement
07:30  Send email to waitlist (Segment A: most engaged)
08:00  Social media posts go live (all platforms simultaneously)
08:30  Product Hunt goes live (if applicable)
09:00  Send email Segment B (rest of list)
09:30  Community posts (Reddit, HN, forums — stagger by 30 min)
10:00  First engagement check — respond to ALL comments
11:00  Influencer/partner posts go live
12:00  Midday metrics check — any fires?
14:00  Second social push (different angle/content)
16:00  Thank-you post + early traction numbers
18:00  Send personalized DMs to high-value signups
20:00  Day 1 retrospective — what worked, what didn't
22:00  Plan Day 2 adjustments based on data

### Launch Day War Room Protocol

Roles:

Commander — makes go/no-go decisions, handles escalations
Comms Lead — social media, community responses, PR
Tech Lead — monitors systems, fixes issues, deploys hotfixes
Support Lead — triages user issues, identifies patterns
Metrics Lead — real-time dashboard, hourly updates

Escalation Rules:

Site down → Tech Lead fixes, Commander decides on public comms
Negative press/viral complaint → Comms Lead drafts response, Commander approves
Payment broken → HIGHEST priority, all hands
Feature request flood → Log but don't promise, stay on message
Unexpected traffic spike → Tech Lead scales, Commander decides on throttling

### Week 1: Momentum

DayActionGoal2Follow up with all Day 1 signups who didn't activateActivation3Publish "Day 1 results" post (be transparent)Social proof4Send targeted outreach to communities that responded wellGrowth5Collect and publish first testimonialsTrust6Analyze funnel — where are people dropping off?Optimize7Weekly retrospective — adjust Week 2 planLearn

### Week 2-4: Optimization

Activation Funnel Analysis:

funnel_analysis:
  stage_1_visit_to_signup:
    rate: ""
    benchmark: "3-8% for cold, 20-40% for warm"
    if_below: "Fix messaging, add social proof, simplify form"
    
  stage_2_signup_to_activation:
    rate: ""
    benchmark: "40-60%"
    if_below: "Simplify onboarding, add quick-win tutorial, reduce time-to-value"
    
  stage_3_activation_to_retention:
    rate: ""
    benchmark: "20-40% weekly"
    if_below: "Core value not clear, add engagement loops, email nurture"
    
  stage_4_retention_to_revenue:
    rate: ""
    benchmark: "2-5% free-to-paid"
    if_below: "Paywall placement, pricing, feature gating"
    
  stage_5_revenue_to_referral:
    rate: ""
    benchmark: "10-20% refer someone"
    if_below: "Add referral program, make sharing easy, incentivize"

### User Feedback Collection System

Feedback Cadence:

Day 1: "How was setup?" (1-question email)
Day 3: "What's your biggest challenge?" (open-ended)
Day 7: NPS score + "What would make you recommend us?"
Day 14: Feature request prioritization survey
Day 30: Willingness-to-pay / pricing feedback

Feedback Triage Matrix:

SignalVolumeActionBug reportAnyFix within SLA (P0: 4hrs, P1: 24hrs, P2: sprint)"I expected X"3+ usersMessaging problem — update copy/onboardingFeature request5+ usersAdd to roadmap, validate with interviewsConfusion about pricing3+ usersSimplify pricing page, add FAQPositive testimonialAnyAsk permission to publish, feature on siteChurn reasonAnyCategorize and track — top 3 become priorities

### 30-Day Review Template

launch_retrospective:
  summary:
    launch_date: ""
    launch_type: ""
    primary_goal: ""
    primary_metric_target: ""
    primary_metric_actual: ""
    goal_achieved: true/false
    
  channel_performance:
    - channel: "Email"
      reach: ""
      signups: ""
      conversion_rate: ""
      cost: ""
      cpa: ""
      verdict: ""  # Scale, Optimize, Cut
      
    - channel: "Product Hunt"
      reach: ""
      signups: ""
      conversion_rate: ""
      cost: ""
      cpa: ""
      verdict: ""
      
    # Repeat for each channel
    
  what_worked:
    - ""
    
  what_didnt:
    - ""
    
  surprises:
    - ""  # Unexpected channels, user segments, use cases
    
  key_learnings:
    - ""
    
  next_launch_changes:
    - ""
    
  90_day_plan:
    growth_channels: []  # Double down on winners
    product_priorities: []  # Based on user feedback
    revenue_target: ""
    retention_target: ""

### Channel Attribution Scoring

For each channel, calculate:

Channel Score = (Signups × Quality Score) / Cost

Quality Score (0-1):
- Activated within 7 days? +0.3
- Still active at day 30? +0.3
- Converted to paid? +0.4

Rank channels by score. Top 2-3 become your growth engine. Cut channels scoring below 0.2.

### Template 1: SaaS Product Launch

T-8w: Positioning + beta recruitment
T-6w: Beta launch (50-100 users)
T-4w: Iterate based on beta feedback
T-3w: Waitlist page + content engine starts
T-2w: Press/influencer outreach
T-1w: Email sequences loaded, social scheduled
T-0:  Launch day (email + social + communities + PH)
T+1w: Activation optimization sprint
T+2w: First case studies published
T+4w: Paid acquisition experiments begin
T+8w: Growth channel identified, double down

### Template 2: B2B Service Launch

T-6w: Package service offering + pricing
T-4w: Build landing page + 2 case studies (even from free work)
T-3w: Warm outreach to network (personal emails, not mass)
T-2w: LinkedIn content series (expertise, not selling)
T-1w: Prep sales materials (deck, one-pager, ROI calculator)
T-0:  Announce to network + 10 targeted cold outreach
T+1w: Follow up all conversations, book demos
T+2w: Publish "how we helped [client]" content
T+4w: Referral program launch
T+8w: Scale outreach based on what converts

### Template 3: Content Product / Course Launch

T-6w: Create lead magnet (free chapter, mini-course)
T-4w: Email list building sprint (ads, content, partnerships)
T-3w: Behind-the-scenes content (build in public)
T-2w: Early bird pricing announced
T-1w: Testimonials from beta reviewers
T-0:  Cart open (scarcity: limited seats or early bird ends)
T+3d: Social proof push (X people enrolled, first wins)
T+5d: Objection-handling email (FAQ, guarantee)
T+7d: Cart close (or early bird ends)
T+2w: First cohort results → next launch cycle

### Template 4: Feature Launch (Existing Product)

T-2w: Beta test with power users
T-1w: Update docs, record demo video
T-3d: Email existing users (teaser)
T-0:  In-app announcement + email + changelog + social
T+1d: Targeted outreach to users who requested this feature
T+3d: Usage metrics review — adoption rate
T+1w: Iterate based on feedback, publish how-to content
T+2w: Retrospective — did it move the needle?

### Product Hunt Launch Optimization

Preparation (T-4 weeks):

Ship date chosen (Tuesday-Thursday, avoid holidays)
 Hunter identified (someone with followers, or self-hunt)
 Tagline: 60 chars max, clear and catchy
 First comment drafted (personal story, not sales pitch)
 5+ high-quality screenshots/GIFs
 Maker video (optional, 60-90 seconds)
 Support team ready for Day 1 questions

Launch Day:

Post at 00:01 PST (start of PH day)
Share with community but DON'T say "upvote me" (against rules)
Respond to EVERY comment within 30 minutes
Share genuine behind-the-scenes updates throughout the day
Thank supporters individually

After PH:

Add PH badge to site (social proof)
Email PH visitors who signed up (special welcome)
Analyze: PH traffic quality vs other channels

### Hacker News Launch Guide

Post as "Show HN: [product] — [what it does in plain English]"
Best times: weekday mornings (US East Coast)
Comment with technical details, be transparent about stack
Respond thoughtfully to criticism (HN values honesty over marketing)
Don't ask for upvotes — ever
Have monitoring ready — HN hug of death is real

### Viral Loop Design

viral_loop:
  trigger: ""  # What makes someone share?
  mechanism: ""  # How do they share? (invite, link, embed, social)
  incentive:
    sharer: ""  # What does the referrer get?
    receiver: ""  # What does the new user get?
  friction: ""  # How many clicks to share? (Target: 1-2)
  visibility: ""  # Can non-users SEE the product in use? (Powered by, watermark, social share)
  
  viral_coefficient:
    invites_per_user: ""
    conversion_per_invite: ""
    k_factor: ""  # invites × conversion. K>1 = viral growth

### Pricing Launch Strategy

Launch Pricing Approaches:

StrategyHow It WorksBest ForFounding Price30-50% off, locked forever for early adoptersBuilding loyal baseEarly BirdDiscount expires after X days/seatsCreating urgencyFreemiumFree tier hooks, paid tier convertsHigh-volume B2C/developerBeta Price → GA PriceGradual increase as product maturesValidating willingness-to-payPay What You WantCustomers choose (with suggested price)Community/creative products

Price Anchoring on Launch Day:

Show the "normal" price first (crossed out)
Show launch price with savings highlighted
Add time constraint ("Launch price ends [date]")
Include value stack ("$2,000 worth of templates included")

### Launching into a Crowded Market

Lead with "unlike [competitor], we [specific difference]"
Target competitor's most frustrated users (search "[competitor] alternative")
Build migration tools / comparison content
Don't compete on features — compete on experience, price, or niche

### Launching with Zero Audience

Start with 1-1 outreach (100 personal emails > 10,000 cold)
Find 3-5 micro-communities where your audience gathers
Offer to solve problems for free in those communities (build reputation first)
Partner with someone who HAS the audience (revenue share, co-creation)
Build in public — document the journey (people root for underdogs)

### Failed Launch Recovery

If launch underperforms:

Don't panic — most successful products had quiet launches
Analyze: Was it product, messaging, channel, or timing?
Reposition if needed (same product, different story)
Relaunch to a different audience or channel
Focus on 10 happy users over 1,000 lukewarm ones

### International Launch

Localize messaging (not just translate — adapt cultural references)
Respect local pricing (PPP adjustments, local payment methods)
Launch in waves by region (not all at once)
Local influencers > global influencers for each market
Legal/compliance varies — check data privacy, terms, taxes

### Quick Commands

CommandWhat It Does"Assess my launch readiness"Run the 6-dimension readiness scorecard"Create a launch brief"Generate launch_brief YAML template"Plan my Product Hunt launch"PH-specific checklist and timeline"Build my pre-launch content calendar"8-week content plan"Design my launch day schedule"Hour-by-hour playbook"Analyze my launch funnel"Post-launch funnel analysis"Run my 30-day retrospective"Full launch review template"Score my launch channels"Channel attribution analysis"Help me relaunch"Failed launch recovery plan"Create a viral loop"Design referral/sharing mechanics

### AfrexAI Skills That Pair With This

afrexai-brand-strategy — Positioning and messaging before launch
afrexai-seo-content-engine — Pre-launch content for organic traffic
afrexai-email-marketing-engine — Launch email sequences
afrexai-social-media-engine — Social media launch campaign
afrexai-competitive-intel — Know your market before launching
afrexai-pricing-strategy — Get launch pricing right
afrexai-prd-engine — Define what you're building before launch
## Trust
- Source: tencent
- Verification: Indexed source record
- Publisher: 1kalin
- Version: 1.0.0
## Source health
- Status: healthy
- Source download looks usable.
- Yavira can redirect you to the upstream package for this source.
- Health scope: source
- Reason: direct_download_ok
- Checked at: 2026-04-23T16:43:11.935Z
- Expires at: 2026-04-30T16:43:11.935Z
- Recommended action: Download for OpenClaw
## Links
- [Detail page](https://openagent3.xyz/skills/afrexai-product-launch)
- [Send to Agent page](https://openagent3.xyz/skills/afrexai-product-launch/agent)
- [JSON manifest](https://openagent3.xyz/skills/afrexai-product-launch/agent.json)
- [Markdown brief](https://openagent3.xyz/skills/afrexai-product-launch/agent.md)
- [Download page](https://openagent3.xyz/downloads/afrexai-product-launch)