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/dataset-ingest

Delegate approved one-shot or incremental dataset execution to the shared orchestration service with resumable receipts.

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aiwg
211200 skills199 agents26 commands
Install
$ npx -y skills add jmagly/aiwg --skill dataset-ingest --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/dataset-ingest

Context preview

The summary Claude sees to decide when to auto-load this skill.

Delegate approved one-shot or incremental dataset execution to the shared orchestration service with resumable receipts.

SKILL.md

dataset-ingest.SKILL.md
namespace: aiwg
name: dataset-ingest
description: Delegate approved one-shot or incremental dataset execution to the shared orchestration service with resumable receipts.
version: 1.0.0
platforms: [all]
aliases: [run dataset plan, materialize dataset, resume ingest, synchronize dataset]
triggers: [ingest the dataset, run the approved plan, resume dataset sync, update this index, continue ingestion]

Dataset Ingest

Require the approved immutable plan reference and matching approval reference. Delegate only through `aiwg dataset ingest <plan-id> --digest <plan-digest> --idempotency-key <key> --json`, adding only reviewed `--approve` and reconciliation bindings. For an incremental continuation, use `retry <run-id>` when the orchestration service reports the run retryable; never decode or advance a cursor here.

Surface run ID, status, cancellation affordance, prior and new committed checkpoint references, rejections, degraded behavior, and receipt reference. Cancellation must preserve the last committed checkpoint. Hand the run/receipt references to `dataset-verify` and, when requested, `dataset-trace`.

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