Enforce consistent TypeScript and Cloud VM backend development practices across cmux projects.
npx skills add https://github.com/manaflow-ai/cmux --skill cmux-backend
Please help me install this Agent Skill. Skill: cmux-backend Source: https://github.com/manaflow-ai/cmux/tree/main/skills/cmux-backend Command: npx skills add https://github.com/manaflow-ai/cmux --skill cmux-backend
This Skill captures and enforces cmux's backend development rules for TypeScript, Cloud VM workflows, provider integrations, and database migrations, ensuring consistent patterns across web/api code, services, and infrastructure scripts.
Explain and apply the cmux backend rules to a new web/api module in your project.
High-intent search queries and answers about installing and using this skill.
To enforce backend TypeScript rules, keep Next route handlers thin by parsing input, running one Effect program boundary, mapping errors to responses, and isolating defects to ensure predictable recoverability across web/api code.
Backend service boundaries in TypeScript require explicit rules for route handler shape and environment configurations. You need them when managing provider integrations, auth, rate limits, retries, timeouts, and telemetry across cloud VM workflows.
Structure backend TypeScript workflows by centralizing cloud VM logic in Vercel route handlers and Effect services backed by Postgres, applying explicit rules for runtime envs, migrations, and provider pricing gates across web/app/api modules.
Yes, you can use Effect services backed by Postgres within Vercel route handlers to centralize cloud VM backend logic, ensuring consistent patterns for database workflows, provider integrations, and runtime environment configurations.
The best way to handle error mapping in TypeScript backend services is enforcing a single Effect program boundary inside thin route handlers, isolating defects, and mapping errors directly to standardized HTTP responses.
TypeScript database migrations and provider integrations fail without explicit rules for runtime environments, service boundaries, and environment configurations, which this approach enforces to guarantee predictable error mapping and recoverability across cloud VM workflows.
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