General skillDevOps and deployment

llm-app-productionizer

Harden an LLM prototype with evaluations, guardrails, and observability

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License
MIT
Updated
Updated Jun 23, 2026

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Project overview

LLM App Productionizer guides a working LLM prototype through ordered engineering phases instead of treating production work as one prompt. It covers evaluation sets, prompt-injection defenses, output validation, retries and fallbacks, caching, token-cost limits, latency, tracing, canary releases, and rollback. The skill is aimed at teams that need evidence at each stage before expanding a prototype.

Repository facts

Primary language
Python
License
MIT
Repository updated
Jun 23, 2026
Default branch
main

Resource types

General skill

Use cases

DevOps and deployment

Platforms

Claude Code, Codex, and more

Capabilities

ObservabilitySecurity guardrailVerification and evals

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