菜单
Internal: ML Executor. Implements ML models, training pipelines, inference code, data processing. Read spec and segment. Write evidence on completion.
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
| name | execution/ml-executor |
| description | Internal: ML Executor. Implements ML models, training pipelines, inference code, data processing. Read spec and segment. Write evidence on completion. |
Spawn the ml-executor agent with the user's prompt as the instruction.
Pass the user's full prompt verbatim. Do not summarize or sanitize it. Prepend a short hard wrapper that tells the agent to verify dataset/model contracts, fix the real mechanism, and only claim success with concrete evidence.
Run checkpoint audit, repair any findings, then reach DONE — all in one shot. Use after /dynos-work:execute.
Execute the approved plan. Orchestrates execution graph segments through specialized executor agents, including dependency management and error recovery.
Internal: Data Executor. Implements ETL, analytics, backfills, data quality, reconciliation, and data pipeline changes. Write evidence on completion.
Internal: Infrastructure Executor. Implements deployment, CI/CD, container, IaC, and environment configuration changes. Write evidence on completion.
Internal: Observability Executor. Implements logs, metrics, traces, alerts, dashboards, and reliability instrumentation. Write evidence on completion.
Internal: Release Executor. Implements version/changelog updates, rollout flags, rollback plans, release notes, and migration sequencing. Write evidence on completion.
