القائمة
Internal: ML Executor. Implements ML models, training pipelines, inference code, data processing. Read spec and segment. Write evidence on completion.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
| 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.
