菜单
Use when the user wants a production-grade prompt document for an ML or LLM service, including structured output contract, semantic rules, input variables, system prompt, and output examples.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Use when the user wants the rollout and ownership plan for an ML or LLM delivery: scope, workstreams, dependency map, rollout steps, blockers, readiness checklist, and transition notes.
Use when the user wants a quality and release-readiness plan for an ML or LLM service: dimensions, thresholds, datasets, review process, regression rules, and post-release quality review.
Use when the user wants the operational document for an ML or LLM service: ownership, alerts, common failures, incident response, degradation modes, recovery checks, and escalation contacts.
Use when the user wants the integration contract for an ML or LLM service: API/tool methods, input/output schema, data contract rules, prompt hierarchy, retries, confidence routing, and fallback behavior.
Use when the user wants to record one concrete architectural decision in an ML or LLM system, including alternatives, chosen option, rationale, risks, and impacted artifacts.
Use when the task is to create, update, sequence, or review the ML/LLM delivery document set as a pipeline rather than a single document. Covers PRD, system design, ADR, service spec, evaluation plan, delivery plan, runbook, security note, and prompt template.
| name | ml-llm-prompt-template |
| description | Use when the user wants a production-grade prompt document for an ML or LLM service, including structured output contract, semantic rules, input variables, system prompt, and output examples. |
Read:
../../../ML LLM Delivery Pipeline/09 Prompt Template.mdUse this skill when documenting a production prompt as an operational artifact, not just drafting prompt text ad hoc.