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Track real-world usage and cost across LLM providers, hosting, DB, and email after a feature ships or a launch happens. Complements `cost-watchdog` (preventive). Triggers when the user says "tô gastando muito", "quanto custa", "quanto deu de fatura", or after launch.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Plan post-first-100-users growth without burning out the founder, the budget, or the user base. Pairs with `first-100-users` (which gets you to 100); this skill takes you from 100 to ~1000 sustainably. Activated when the user says "já tenho 100 usuários, e agora?", "como cresço sem queimar dinheiro?", "o WhatsApp 1-a-1 não escala mais".
Get a second (and third) AI opinion on hard-to-reverse decisions. Runs the same prompt through different agent roles or model families in parallel, then reconciles disagreements. Inspired by gstack's `/codex` cross-review pattern. Activated for architecture decisions, security-sensitive code, pricing/packaging changes, deploy gates, legal-adjacent text, or any decision the user flags as "não dá pra desfazer fácil".
Turn a manually-validated workflow into a documented, repeatable, and partially-automatable process. Use AFTER a task has been done at least 3 times by hand and is showing signs of repetition. Inspired by Sahil Lavingia's principle "do it manually until it works, then processize." Activated when the user says "tô fazendo isso toda semana", "vamos automatizar?", "isso já cansou", or after `daily-standup` flags repeated manual work.
Recommend external repo packs from docs/registry/ that fit a project's stack, domain, and constraints. Use during /project-start (after the Technical Plan), when the user asks "que repos eu deveria usar?", or whenever a new need (security review, design system, deploy guidance) appears mid-build.
Flag potentially expensive technical choices BEFORE they are committed. Watch for AI model selection, hosting tier upgrades, third-party services with metered pricing, and DB patterns that explode with scale.
At the start of a session (or on user request "o que a gente fez", "onde paramos"), produce a 4-bullet briefing — what's done, what's in progress, what's next, what's blocked. Replaces the dev habit of standup for solo vibe coders.
| name | usage-monitor |
| description | Track real-world usage and cost across LLM providers, hosting, DB, and email after a feature ships or a launch happens. Complements `cost-watchdog` (preventive). Triggers when the user says "tô gastando muito", "quanto custa", "quanto deu de fatura", or after launch. |
📊 Usage & cost — last 7 days
🤖 LLM (Anthropic):
Input tokens: 1.2M (R$ 9.00)
Output tokens: 340K (R$ 17.00)
Cache reads: 800K (R$ 0.60)
Total: R$ 26.60
Per active user: R$ 0.27
⚠️ Up 340% vs prev week — investigate.
☁️ Hosting (Vercel):
Bandwidth: 4.2 GB / 100 GB free
Function invocations: 22K / 100K free
Status: 🟢 within free tier
🗄️ Database (Supabase):
DB size: 142 MB / 500 MB free
Active users (mau): 18 / 50K free
Status: 🟢 within free tier
✉️ Email (Resend):
Sent: 240 / 3000 free
Status: 🟢 within free tier
💰 Total billable this week: R$ 26.60
🔮 Projected month: R$ 114
/v1/organizations/usage_report.If the user hasn't connected a usage API: "para automatizar, preciso da chave read-only da [provider]. Sem ela, eu te lembro de checar manualmente toda segunda."
| Sinal | Ação recomendada |
|---|---|
| LLM custo / usuário ativo > R$ 1 | Revisar prompts, considerar Haiku, ativar cache. |
| Bandwidth > 70% do free tier | Auditar imagens grandes, downloads. |
| DB > 70% do free tier | Auditar tabelas grandes, archive. |
| Spike > 200% week-over-week | Investigar imediatamente — provável loop / abuse. |
| Erro de cobrança / cartão recusado | Avisar usuário no chat. |
Imagina que cada serviço que você usa tem um relógio rodando. Toda semana eu olho os relógios pra você e falo: "tudo OK", "tá perto do limite", ou "tem algo estranho". Você não precisa entrar em 5 dashboards.
session-log/YYYY-MM-cost-review.md with totals + top 3 levers to reduce.cost-watchdog = preventive (before code ships).usage-monitor = reactive (after code is in production).