cheat-on-content
给所有想把"感觉"变成可校准预测的内容创作者。**方法论通用**——打分 → 盲预测 → T+3d 复盘 → 进化 rubric 的循环适用任何能被量化(播放 / 阅读 / 收听 / 点击)的内容。**rubric 是循环的内容,不是循环本身**——当前内置一份观点视频 rubric(参考博主 25+…
Estrategia e implementacao de monetizacao para produtos digitais - Stripe, subscriptions, pricing experiments, freemium, upgrade flows, churn prevention, revenue optimization e modelos de negocio SaaS.
$ npx -y skills add LiHongwei-cn/lihongwei-cn --skill monetization --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/monetizationContext preview
The summary Claude sees to decide when to auto-load this skill.
Estrategia e implementacao de monetizacao para produtos digitais - Stripe, subscriptions, pricing experiments, freemium, upgrade flows, churn prevention, revenue optimization e modelos de negocio SaaS.
name: monetization description: "Estrategia e implementacao de monetizacao para produtos digitais - Stripe, subscriptions, pricing experiments, freemium, upgrade flows, churn prevention, revenue optimization e modelos de negocio SaaS." risk: none source: community date_added: '2026-03-06' author: renat tags: - monetization - stripe - saas - pricing - subscriptions tools: - claude-code - antigravity - cursor - gemini-cli - codex-cli
Estrategia e implementacao de monetizacao para produtos digitais - Stripe, subscriptions, pricing experiments, freemium, upgrade flows, churn prevention, revenue optimization e modelos de negocio SaaS. Ativar para: integrar Stripe, criar planos de assinatura, pricing strategy, upgrade/downgrade, webhook de pagamento, trial gratuito, churn, LTV/CAC, unit economics, modelo de negocio.
> Price is what you pay. Value is what you get. - Warren Buffett > A monetizacao perfeita captura valor proporcional ao valor entregue.
---
Usuarios pagam quando: 1. O produto resolve um problema real (need) 2. A solucao e melhor que alternativas (differentiation) 3. O preco e percebido como justo (value perception) 4. O momento de cobranca e natural (timing)
---
pip install stripe ## Ou npm install stripe
## Config.Py
import stripe
import os
stripe.api_key = os.environ["STRIPE_SECRET_KEY"]
STRIPE_WEBHOOK_SECRET = os.environ["STRIPE_WEBHOOK_SECRET"]
PLANS = {
"free": None,
"pro": os.environ["STRIPE_PRICE_PRO"],
"business": os.environ["STRIPE_PRICE_BIZ"],
}def create_customer(email: str, name: str, user_id: str) -> str:
customer = stripe.Customer.create(
email=email,
name=name,
metadata={"user_id": user_id}
)
return customer.id
def create_subscription(customer_id: str, price_id: str, trial_days: int = 14):
subscription = stripe.Subscription.create(
customer=customer_id,
items=[{"price": price_id}],
trial_period_days=trial_days,
payment_behavior="default_incomplete",
expand=["latest_invoice.payment_intent"],
)
return {
"subscription_id": subscription.id,
"client_secret": subscription.latest_invoice.payment_intent.client_secret,
"status": subscription.status
}def create_checkout_session(
customer_id: str,
price_id: str,
success_url: str,
cancel_url: str,
trial_days: int = 14
) -> str:
session = stripe.checkout.Session.create(
customer=customer_id,
mode="subscription",
line_items=[{"price": price_id, "quantity": 1}],
subscription_data={"trial_period_days": trial_days},
success_url=success_url + "?session_id={CHECKOUT_SESSION_ID}",
cancel_url=cancel_url,
allow_promotion_codes=True,
)
return session.urldef create_portal_session(customer_id: str, return_url: str) -> str:
session = stripe.billing_portal.Session.create(
customer=customer_id,
return_url=return_url,
)
return session.urlfrom fastapi import Request, HTTPException
import stripe
async def stripe_webhook(request: Request):
payload = await request.body()
sig_header = request.headers.get("stripe-signature")
try:
event = stripe.Webhook.construct_event(
payload, sig_header, STRIPE_WEBHOOK_SECRET
)
except ValueError:
raise HTTPException(status_code=400, detail="Invalid payload")
except stripe.error.SignatureVerificationError:
raise HTTPException(status_code=400, detail="Invalid signature")
handlers = {
"customer.subscription.created": handle_subscription_created,
"customer.subscription.updated": handle_subscription_updated,
"customer.subscription.deleted": handle_subscription_deleted,
"invoice.payment_succeeded": handle_payment_succeeded,
"invoice.payment_failed": handle_payment_failed,
"customer.subscription.trial_will_end": handle_trial_ending,
}
handler = handlers.get(event["type"])
if handler:
await handler(event["data"]["object"])
return {"status": "ok"}def get_subscription_status(customer_id: str) -> dict:
subscriptions = stripe.Subscription.list(
customer=customer_id,
status="all",
limit=1
)
if not subscriptions.data:
return {"tier": "free", "status": "none"}
sub = subscriptions.data[0]
return {
"tier": get_tier_from_price(sub.items.data[0].price.id),
"status": sub.status,
"trial_end": sub.trial_end,
"current_period_end": sub.current_period_end,
"cancel_at_period_end": sub.cancel_at_period_end,
}---
**Metodo 1: Value-Based Pricing (Recomendado)**
1. Calcule o valor economico entregue ao usuario Ex: produto economiza 2h/semana = R$ 200/mes de valor 2. Capture 10-30% do valor criado Ex: R$ 29/mes = 14% do valor 3. Valide com pesquisa de willingness-to-pay 4. Teste 3 price points (A/B test)
**Metodo 2: Competitive Anchor**
Referencia: ChatGPT Plus = $
MUNDO - THE EMPEROR. Complete AI orchestration system with 1208 skills, 25 capability modules, self-evolving, collective consciousness. GitHub Actions 24/7 automation.
Repo: LiHongwei-cn/lihongwei-cn
给所有想把"感觉"变成可校准预测的内容创作者。**方法论通用**——打分 → 盲预测 → T+3d 复盘 → 进化 rubric 的循环适用任何能被量化(播放 / 阅读 / 收听 / 点击)的内容。**rubric 是循环的内容,不是循环本身**——当前内置一份观点视频 rubric(参考博主 25+…
提议并执行 rubric 或 bucket 升级。两种模式:**完整 rubric bump**(最高风险动作,5 步强制 + 跨模型审核)和 **--bucket-only 轻量重校**(只换 bucket 边界,不动 rubric 公式)。**Phase 2 强制走 cheat-score-blind…
cheat-on-content 的首次 onboarding 与脚手架创建器。统一流程——所有用户都走相同 5 阶段闭环,唯一区别是"发过视频的人"会在 init 时多一步:抓取已有视频建立历史 context(用于后续 cheat-seed 给更贴合的选题、更准的…
从对标账号导入 script + 数据 → 拆 pattern + 派生 base rubric 信号 → 写到 benchmark.md / script_patterns.md / rubric_notes.md。**这是工具最早期信号的来源**——cold-start…
把老用户的 .cheat-state.json 升级到当前 schema_version。读 migrations/registry.md 算迁移链,按顺序应用每一步迁移文件。幂等:跑两次结果一样。失败停在中间版本不前进。触发词:"迁移"/"升级 state"/"migrate"/"我的 state…
从复盘评论数据派生 / 刷新账号的受众画像,写入 audience.md。这是和 rubric 平行的第二个派生物——rubric 答"怎么打分",persona 答"谁在看"。cheat-seed 选题 / 写稿时读它。**audience.md 含实绩信号,cheat-score-blind…