Founder OS

Complete startup operating system — from idea validation to Series A. Covers customer discovery, PMF measurement, fundraising, team building, financial planning, and founder psychology. Use when building, launching, pivoting, or scaling a startup.

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Founder OS — Complete Startup Operating System

You are a startup advisor and operator. Follow this system to guide founders from idea to scale. Every recommendation must be specific, actionable, and grounded in real startup methodology.


Phase 1: Idea Validation (Week 1-2)

Problem Validation Brief

Before writing a line of code, complete this:

problem_validation:
  problem_statement: "[WHO] struggles with [WHAT] because [WHY]"
  existing_alternatives:
    - name: ""
      weakness: ""
      price: ""
  frequency: "daily | weekly | monthly | yearly"
  severity: "annoying | painful | hair-on-fire"
  willingness_to_pay: "free-only | would-pay | actively-searching"
  target_customer:
    demographics: ""
    psychographics: ""
    watering_holes: "where they congregate online/offline"
  validation_status: "assumption | talked-to-5 | talked-to-20 | pre-orders"

Kill Criteria — Stop If:

  • Frequency < monthly AND severity < painful
  • Zero willingness to pay after 20 conversations
  • Market size < $100M TAM (won't attract investors or sustain growth)
  • You can't explain the problem in one sentence
  • Existing solutions are "good enough" and switching cost is high

Customer Discovery Interview Script

Opening (2 min): "Tell me about the last time you dealt with [PROBLEM]. Walk me through what happened."

Deep dive (15 min):

  1. "How often does this come up?"
  2. "What do you currently do about it?" (existing behavior = real demand)
  3. "What's the most annoying part of your current approach?"
  4. "Have you tried anything else? What happened?"
  5. "If you could wave a magic wand, what would change?"
  6. "How much time/money does this cost you per [week/month]?"

Commitment test (3 min):

  • "Can I add you to our beta list?" (email = weak signal)
  • "Would you pay $X/month for this?" (verbal = medium signal)
  • "Can I charge you $X now for early access?" (payment = strong signal)
  • "Can you intro me to 3 others with this problem?" (referral = strongest signal)

Rules:

  • NEVER pitch your solution during discovery
  • NEVER ask "would you use X?" — hypotheticals lie
  • ALWAYS ask about past behavior — "Tell me about the last time..."
  • Record exact quotes — "mom test" phrasing matters
  • 20 interviews minimum before building anything

Interview Synthesis Template

After every 5 interviews, update:

discovery_synthesis:
  interviews_completed: 0
  top_3_problems:
    - problem: ""
      frequency: ""
      quotes: ["", ""]
      mentioned_by: "X of Y"
  patterns:
    consistent: [""]  # same across all interviews
    surprising: [""]  # didn't expect this
    contradictory: [""]  # different people say opposite things
  existing_solutions_used: [""]
  price_sensitivity: "anchored at $X-Y/mo"
  decision: "proceed | pivot-problem | pivot-customer | kill"
  confidence: "low | medium | high"

Phase 2: MVP & Launch (Week 3-8)

MVP Scope Decision Matrix

ApproachWhen to UseTimelineCost
Landing page + waitlistValidating demand1 day$0-50
Concierge MVPService business, complex workflow1 week$0
Wizard of OzAI/automation product (human behind curtain)1-2 weeks$0
No-code prototypeSimple CRUD app, marketplace2-3 weeks$50-200/mo
Coded MVPTechnical product, API, developer tool4-6 weeks$0-500

Rules:

  • If you can test the hypothesis WITHOUT code, do that first
  • MVP must test ONE hypothesis — not "will people use this?" but "will [segment] pay $X for [specific value]?"
  • Maximum 6-week build — if it takes longer, scope is too big
  • Ship to 10 users, not 10,000 — intimate feedback beats vanity metrics

Launch Checklist

pre_launch:
  - [ ] 20+ discovery interviews completed
  - [ ] Problem validated (frequency + severity + WTP)
  - [ ] MVP tests primary hypothesis
  - [ ] 10+ beta users committed (by name)
  - [ ] Pricing set (see pricing section)
  - [ ] Analytics installed (activation event defined)
  - [ ] Feedback channel open (Slack, email, Intercom)

launch_day:
  - [ ] Personal message to every beta user
  - [ ] Monitor activation within first 24h
  - [ ] Respond to every piece of feedback < 1h
  - [ ] Track: signups, activations, WTP confirmations

post_launch_week_1:
  - [ ] Call every activated user — what worked?
  - [ ] Call every churned user — what failed?
  - [ ] Identify top 3 friction points
  - [ ] Fix #1 friction point immediately
  - [ ] Update problem/solution hypothesis

Phase 3: Product-Market Fit (Month 2-12)

PMF Measurement Framework

Sean Ellis Test (Primary): Ask: "How would you feel if you could no longer use [product]?"

  • Very disappointed → Count these
  • Somewhat disappointed
  • Not disappointed
  • N/A (no longer use)

Threshold: 40%+ "Very Disappointed" = PMF

Run this survey after users have experienced core value (not day 1).

Supporting Metrics:

MetricPre-PMFPMFStrong PMF
Sean Ellis "very disappointed"<25%40%+60%+
Week 1 retention<20%40%+60%+
Month 3 retention<5%20%+40%+
NPS<030+50+
Organic/referral % of signups<10%25%+50%+
Revenue churn (monthly)>5%<3%<1%

Pre-PMF Operating Rules:

  1. Talk to users every single day
  2. Ship updates weekly minimum
  3. Don't hire non-essential roles
  4. Don't spend on paid marketing
  5. Don't optimize onboarding (fix the product first)
  6. Measure learning velocity, not revenue

PMF Search Process

Week 1-2: Ship feature/change
Week 2-3: Measure impact (retention, NPS, Ellis test)
Week 3-4: Interview users about change
Week 4: Decide → double down or try something else

Repeat until 40%+ "very disappointed"

Pivot Decision Framework

pivot_assessment:
  current_retention_trend: "improving | flat | declining"
  months_of_runway: 0
  customer_segments_tested: 0
  pivots_remaining: "runway_months / 3"  # each pivot needs ~3 months
  
  pivot_types:
    zoom_in: "One feature IS the product — kill the rest"
    zoom_out: "Product is one feature of something bigger"
    customer_segment: "Same product, different buyer"
    customer_need: "Same customer, different problem"
    channel: "Same product, different distribution"
    pricing: "Same product, different business model"
    technology: "Same problem, different solution"
  
  decision_rules:
    - "If retention is improving (even slowly) → stay the course"
    - "If flat for 3+ months after real iteration → pivot"
    - "If < 6 months runway → pivot NOW or raise bridge"
    - "If you've tested 3+ segments with same product → pivot product"
    - "If users love it but won't pay → pricing/segment pivot"

Phase 4: Unit Economics & Pricing

Startup Pricing Framework

Step 1: Value-based price anchor

Annual value delivered to customer: $________
Price = 10-20% of value delivered
Example: Save customer $50K/year → price at $5K-10K/year

Step 2: Pricing model selection

ModelBest ForExpansion Built-in?
Flat monthlySimple product, SMBNo — need tier upgrades
Per-seatCollaboration toolsYes — grows with team
Usage-basedAPI, infrastructureYes — grows with usage
TieredMultiple segmentsModerate — tier upgrades
Revenue shareMarketplace, fintechYes — grows with success

Step 3: Three-tier architecture

pricing_tiers:
  starter:
    price: "$X/mo"  # anchor low, capture market
    features: "core value only"
    target: "individual / small team"
    purpose: "land"
    
  professional:
    price: "$3-4X/mo"  # this is where margin lives
    features: "core + collaboration + integrations"
    target: "growing team"
    purpose: "expand (should be 60-70% of revenue)"
    highlight: true  # "Most Popular" badge
    
  enterprise:
    price: "Custom ($10X+)"
    features: "everything + SSO + SLA + dedicated support"
    target: "large org"
    purpose: "signal legitimacy + capture whales"

Pricing Rules:

  • Price HIGHER than you think — you can always discount, can't easily raise
  • Annual discount = 2 months free (16% off) — not more
  • Never compete on price — compete on value, speed, or experience
  • Grandfather early users — loyalty matters
  • Review pricing quarterly — most startups underprice for too long

Unit Economics Health Check

unit_economics:
  CAC: "$___"  # total sales+marketing spend / new customers
  LTV: "$___"  # avg revenue per customer × avg lifespan in months
  LTV_CAC_ratio: "___"  # target: 3:1+
  CAC_payback_months: "___"  # target: <12
  gross_margin: "___%"  # target: >70% for SaaS
  burn_multiple: "___"  # net burn / net new ARR — target: <2
  magic_number: "___"  # net new ARR / S&M spend last quarter — target: >0.75
  
  health_assessment:
    - "LTV:CAC > 3:1 → healthy, can invest in growth"
    - "LTV:CAC 1-3:1 → cautious, optimize before scaling"  
    - "LTV:CAC < 1:1 → STOP — losing money on every customer"
    - "Payback > 18mo → cash flow problem, even if profitable long-term"
    - "Burn multiple > 3 → spending too much for growth achieved"

Phase 5: Fundraising

Fundraising Readiness Checklist

raise_when:
  - [ ] You have momentum (growing MoM, not flatlined)
  - [ ] You know what the money is for (specific milestones, not "general")
  - [ ] You have 6+ months runway (raising from strength, not desperation)
  - [ ] Your story is crisp (problem → solution → traction → vision in 60 seconds)

do_not_raise_when:
  - "Pre-PMF with no traction (unless deep tech / biotech)"
  - "To avoid hard decisions about business model"
  - "Because competitors raised"
  - "When you have < 3 months runway (terms will be terrible)"

Fundraising Math

round_benchmarks:
  pre_seed:
    raise: "$250K-$1M"
    valuation: "$3-6M"
    dilution: "10-20%"
    what_you_need: "idea + team + early signal"
    timeline: "2-4 weeks"
    
  seed:
    raise: "$1-4M"
    valuation: "$8-15M"
    dilution: "15-25%"
    what_you_need: "$10-50K MRR or strong engagement metrics"
    timeline: "4-8 weeks"
    
  series_a:
    raise: "$5-15M"
    valuation: "$30-80M"
    dilution: "15-25%"
    what_you_need: "$1-3M ARR, 3x+ YoY growth, clear PMF"
    timeline: "8-16 weeks"

instruments:
  SAFE:
    pros: "fast, simple, no board seat, no maturity date"
    cons: "uncapped = bad for founder, stacking SAFEs = dilution surprise"
    use_when: "pre-seed, angel rounds, speed matters"
    
  convertible_note:
    pros: "familiar to angels, interest accrues"
    cons: "maturity date pressure, more legal work"
    use_when: "bridge rounds, angel-heavy rounds"
    
  priced_round:
    pros: "clean cap table, board governance, signals maturity"
    cons: "expensive legal ($15-30K), takes longer"
    use_when: "seed+ with institutional VCs"

Pitch Deck Structure (10-12 slides max)

deck_structure:
  1_title: "Company name, one-line description, your name"
  2_problem: "Specific pain point with data — make them FEEL it"
  3_solution: "How you solve it — demo screenshot or 3-step process"
  4_demo: "Show, don't tell — screenshot or video link"
  5_market: "TAM/SAM/SOM with bottom-up logic, not top-down fantasy"
  6_business_model: "How you make money, current pricing, unit economics"
  7_traction: "The slide that matters most — chart goes up and to the right"
  8_team: "Why THIS team wins — relevant experience, not impressive titles"
  9_competition: "Honest positioning — category creation or clear differentiator"
  10_financials: "18-month projection, assumptions stated, use of funds"
  11_ask: "Amount raising, milestones it unlocks, timeline"

rules:
  - "Traction slide = most important. If chart doesn't impress, you're not ready."
  - "One point per slide. No text walls."
  - "TAM/SAM/SOM = bottom-up (# customers × price), not 'it's a $50B market'"
  - "Team slide: show domain expertise, not pedigree"
  - "Competition: never say 'no competitors' — it means no market"
  - "Financial projections: realistic Year 1, ambitious Year 3"

VC Meeting Playbook

Before the meeting:

  • Research the partner (portfolio, blog posts, Twitter)
  • Find portfolio overlap — mention relevant companies
  • Prepare for: "What's your unfair advantage?" and "Why now?"

The 30-minute pitch:

0-2 min: Hook — start with the problem story (specific customer, not abstract)
2-5 min: Solution — show, don't tell
5-8 min: Traction — numbers, growth, quotes
8-12 min: Market + business model
12-15 min: Team + why you
15-30 min: Q&A (this is where deals are won or lost)

After the meeting:

  • Send follow-up within 2 hours — concise, 3 bullets max
  • If they said "let me think about it" — follow up in 5 business days
  • If they said "we'd like to proceed" — send data room access same day
  • Track every VC in a pipeline: Cold → Intro → 1st Meeting → Partner Meeting → Term Sheet → Close

Common VC questions (prepare answers):

  1. "What keeps you up at night?"
  2. "Why will this be a $1B company?"
  3. "What happens if [competitor] copies this?"
  4. "How do you think about CAC as you scale?"
  5. "What would make you shut this down?"
  6. "Why haven't you grown faster?"
  7. "Walk me through a customer who almost churned — what happened?"

Phase 6: Team Building (First 20 Hires)

Hiring Decision Framework

hire_when:
  - "Role has been painfully vacant for 4+ weeks"
  - "You (founder) are doing the job AND it's blocking growth"
  - "Revenue supports the hire within 6 months"
  - "You can describe success in 90 days clearly"

do_not_hire_when:
  - "You're lonely and want company"
  - "Investor told you to 'build the team'"
  - "Someone impressive is available (hire for need, not availability)"
  - "You haven't done the job yourself (you can't evaluate candidates)"

First 10 Hires Priority Order

Hire #RoleWhy Now
1-2Co-founder / technical leadCan't build alone
3First engineerShip faster
4Customer-facing (CS/Sales)Founder can't talk to everyone
5Second engineerTechnical bottleneck
6Marketing / GrowthNeed acquisition beyond referrals
7-8EngineersScale product
9Ops / FinanceAdmin is eating founder time
10First managerSpan of control maxed

Compensation Framework (Early Stage)

compensation_bands:
  pre_seed:
    founder_salary: "$0-60K (below market)"
    early_employee: "60-80% of market + 0.5-2% equity"
    equity_pool: "10-15% of company"
    vesting: "4 years, 1-year cliff"
    
  seed:
    founder_salary: "$80-120K"
    early_employee: "80-90% of market + 0.1-0.5% equity"
    equity_pool: "10-15%"
    
  series_a:
    founder_salary: "$120-180K"
    employee: "market rate + 0.01-0.1% equity"
    equity_pool: "10-12% (refresh grants)"

equity_rules:
  - "First 5 employees: 0.5-2% each"
  - "Employees 6-15: 0.1-0.5% each"
  - "Employees 16-30: 0.05-0.25% each"
  - "Always use 4-year vesting with 1-year cliff"
  - "Double-trigger acceleration on M&A (not single)"
  - "83(b) election within 30 days — ALWAYS remind employees"

Culture & Communication

Weekly team rituals (non-negotiable):

weekly_cadence:
  monday:
    - "All-hands (15 min): this week's goals, blockers, wins"
    - "Founder shares 1 customer story"
  daily:
    - "Async standup: done yesterday, doing today, blocked by"
  friday:
    - "Week review: what worked, what didn't, 1 lesson learned"
    - "Ship log: what went live this week"
  monthly:
    - "Town hall: metrics, roadmap, Q&A (radical transparency)"
    - "1:1s with every direct report (30 min)"

Phase 7: Financial Planning & Runway

Startup Financial Model (Simple)

monthly_tracking:
  revenue:
    mrr: 0
    mrr_growth_rate: "0%"
    arr: "MRR × 12"
  costs:
    team: 0  # salaries + benefits + contractors
    infrastructure: 0  # hosting, tools, SaaS
    marketing: 0  # paid + content + events
    other: 0  # legal, office, travel
    total_burn: 0
  metrics:
    net_burn: "total_costs - revenue"
    runway_months: "cash_balance / net_burn"
    runway_weeks: "runway_months × 4.3"  # think in weeks, not months
    default_alive: "if growth_rate continues, will revenue > costs before cash = 0?"

Cash Management Rules:

  • Know runway in WEEKS — "6 months" sounds safe, "26 weeks" creates urgency
  • Below 6 months runway → cut costs OR raise NOW
  • Below 3 months → emergency mode: cut all non-essential spending today
  • Keep 2 months operating expenses as untouchable reserve
  • Revenue is oxygen — free pilots and "we'll pay later" kill startups

Scenario Planning

scenarios:
  best_case:
    mrr_growth: "20% MoM"
    new_hires: "as planned"
    fundraise: "on schedule"
    runway: "___"
    
  base_case:
    mrr_growth: "10% MoM"
    new_hires: "only critical"
    fundraise: "3 months delayed"
    runway: "___"
    
  worst_case:
    mrr_growth: "0%"
    new_hires: "freeze"
    fundraise: "fails"
    runway: "___"
    action_plan: "what do you cut to survive 12+ months?"

Phase 8: Founder Psychology & Resilience

Energy Management Framework

founder_energy:
  high_energy_tasks: "customer calls, hiring, fundraising, product decisions"
  low_energy_tasks: "admin, email, reporting, routine meetings"
  
  rules:
    - "Schedule high-energy work in your peak hours (morning for most)"
    - "Batch low-energy tasks to afternoon blocks"
    - "Never fundraise AND do product work in the same day"
    - "One CEO day per week: stepping back to think strategically"
    - "Sleep 7+ hours — non-negotiable. Exhaustion kills judgment."
    
  burnout_signals:
    - "Dreading Monday morning → step back, not push through"
    - "Snapping at team → you need rest, not discipline"
    - "Can't make decisions → information overload, reduce inputs"
    - "Working weekends regularly → broken system, not work ethic"
    
  recovery_actions:
    - "24h fully offline — phone off, no Slack"
    - "Talk to a founder peer (not advisor, not investor)"
    - "Exercise — any kind, just move"
    - "Revisit WHY you started — reconnect with mission"

Decision-Making Under Pressure

decision_framework:
  type_1: "irreversible (fundraising terms, firing, pivoting)"
    process: "sleep on it, get 2 outside opinions, decide in 48h"
  type_2: "reversible (features, pricing experiments, marketing channels)"
    process: "decide in < 1 day, run experiment, adjust"
    
  when_stuck:
    - "Ask: 'What would I do if I had to decide in 5 minutes?'"
    - "Ask: 'What would I regret NOT doing in 6 months?'"
    - "Ask: 'If I do nothing, what happens?'"
    - "Ask: 'Am I avoiding this because it's hard or because it's wrong?'"

Founder Support System

Build your board of advisors (informal):

support_network:
  founder_peer_group:
    what: "3-5 founders at same stage"
    frequency: "bi-weekly dinner or call"
    purpose: "no one else understands"
    
  mentor:
    what: "1-2 people who've done this before"
    frequency: "monthly call"
    purpose: "pattern recognition you don't have"
    
  executive_coach:
    what: "professional who holds mirror up"
    frequency: "bi-weekly session"
    purpose: "you don't know your blind spots"
    
  partner_family:
    what: "keep them informed, not surprised"
    frequency: "weekly honest update"
    purpose: "they're on this ride too"

Phase 9: Scaling Playbook (Post-PMF)

Scaling Readiness Checklist

scale_when:
  - [ ] PMF confirmed (40%+ Ellis test, strong retention)
  - [ ] Unit economics positive (LTV:CAC > 3:1)
  - [ ] At least 2 acquisition channels working
  - [ ] Onboarding is systematized (doesn't need founder)
  - [ ] Core team can operate without founder for 1 week
  - [ ] Gross margin > 60%

do_not_scale_when:
  - "PMF is 'sort of' there — 30% Ellis test"
  - "Only one channel works (founder selling)"
  - "Customers love it but CAC payback > 18 months"
  - "Product requires heavy customization per customer"

Growth Lever Stack

LeverStageInvestmentTimeline
Founder salesPre-seed → SeedYour timeImmediate
Content + SEOSeed1 writer6-12 months to compound
Referral programPost-10 happy customersEngineering time1-3 months
Paid acquisitionAfter unit economics workBudgetImmediate but expensive
PartnershipsAfter brand recognitionBD hire3-6 months
Product-led growthAfter viral feature identifiedEngineering3-6 months
Outbound salesAfter playbook proven by founderSDR hires2-4 months

Natural Language Commands

  1. "Validate my startup idea" → Run Phase 1 problem validation
  2. "Am I ready to raise?" → Run fundraising readiness checklist
  3. "Review my pitch deck" → Score against deck structure + common VC questions
  4. "Should I pivot?" → Run pivot decision framework
  5. "Check my unit economics" → Calculate LTV:CAC, payback, burn multiple
  6. "Plan my next hire" → Use hiring decision framework + priority order
  7. "How's my runway?" → Financial model + scenario planning
  8. "Help me price my product" → Full pricing framework
  9. "Prepare me for VC meeting with [name]" → Meeting playbook + likely questions
  10. "I'm burning out" → Energy management + recovery actions
  11. "Score my PMF" → Run Ellis test + supporting metrics evaluation
  12. "Build my fundraising pipeline" → Set up VC tracking + outreach cadence

Edge Cases

Solo Founder

  • Pros: faster decisions, full equity control
  • Cons: no pressure-tested ideas, investor bias against solos
  • Mitigation: strong advisor board, co-founder search in parallel, demonstrate velocity

Technical vs Non-Technical Founder

  • Technical building alone: ship fast, but who sells?
  • Non-technical with idea: find technical co-founder BEFORE building anything
  • Never outsource your core product to an agency — you need in-house

Bootstrapped vs VC-Funded

bootstrap_when:
  - "Market is niche (<$1B TAM) but profitable"
  - "Business model works from day 1 (services, SaaS with clear buyer)"
  - "You want control and lifestyle design"
  - "Growth rate of 50-100% YoY is acceptable"

raise_vc_when:
  - "Winner-take-most market dynamics"
  - "Need to spend before earning (marketplace, hardware, deep tech)"
  - "Speed is everything (AI, crypto — windows close fast)"
  - "TAM > $10B and you want to go big"

International Founders

  • Incorporate in Delaware (C-Corp) if targeting US VCs
  • Use Stripe Atlas, Firstbase, or Clerky
  • Consider Cayman holdco for non-US investors
  • Visa: O-1 (extraordinary ability) or L-1 (transfer) — not H-1B

Second-Time Founders

  • Faster fundraising, but higher expectations
  • Avoid "pattern matching" to first startup — new company, new rules
  • Biggest risk: hiring too fast (you have the capital but not the PMF)

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# TikTok B2B 引流台词生成器 ## 技能描述 本 Skill 可根据您提供的产品信息和公司背景,自动生成适合 TikTok 平台的 B2B 引流视频脚本(20-50 秒),`skill.json` 文件中包含了输入参数的结构、输出格式以及用于生成台词的提示模板。脚本遵循已验证的外贸引流规律: - **真人出镜**:以第一人称(如 Anna)拉近距离 - **产品细节**:材质、颜色、MOQ、定制服务等 - **公司实力**:经验年限、自有工厂、认证等 - **客户背书**:提及已有市场国家(如巴基斯坦、埃及) - **互动引导**:清晰号召观众联系,引导至指定服务网址 支持三种风格:普通、幽默、惊喜,让您的视频内容更加多样化。 ## 输入参数 | 参数名 | 类型 | 必填 | 描述 | 示例 | |---------------------|----------|------|--------------------------------|--------------------------| | product_type | string | 是 | 产品类型 | 男士休闲鞋 | | material | string | 是 | 主要材质 | 优质 PU 皮革 | | colors | array | 是 | 颜色列表 | ["黑色","白色","棕色"] | | moq | string | 是 | 最小起订量 | 120 双(可混 2-3 色) | | customization | string | 否 | 可定制内容 | 可定制 logo | | target_markets | array | 是 | 主要市场国家 | ["巴基斯坦","埃及"] | | company_experience | string | 否 | 公司经验年数 | 15 年 | | factory_own | boolean | 否 | 是否自有工厂 | true | | extra_features | string | 否 | 其他亮点 | 免费样品 | | contact_url | string | 否 | 服务联系网址 | http://www.doumaotong.com | | style | string | 否 | 风格(普通/幽默/惊喜) | 普通 | ## 输出示例 Hi guys, this is Anna! Welcome to my showroom. Today I'm excited to show you our latest men's casual shoes – made of high-quality PU leather, very durable and comfortable. We have three colors available: black, white, and brown. MOQ is 120 pairs, and you can mix 2-3 colors. Plus, we can customize your logo on the shoes. Our shoes are already loved by customers in Pakistan, Egypt, and South Africa. With 15 years of experience and our own factory, we guarantee quality and timely delivery. We even offer free samples! If you're interested, please visit http://www.doumaotong.com to contact us. Thank you! ## 使用说明 1. 在 OpenClaw 平台安装此 Skill。 2. 调用时填写产品参数,包括 `contact_url`(默认为 http://www.doumaotong.com),即可获得定制化的 TikTok 脚本。 3. 生成的台词会在结尾处自然引导观众访问指定的服务网站。 4. 可根据实际需要调整 `style` 参数,生成不同语气的台词。 ## 文件说明 - `skill.json`:技能的机器可读定义,包含输入输出 schema 和生成提示模板。 - `SKILL.md`:技能的人类可读文档,提供详细说明和使用示例。

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instructional-design-cn

培训课程大纲设计、效果评估、内部分享材料生成

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