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Skill

/dataset-intake

Turn a source path or URI and desired outcome into a governed dataset intake envelope for any AIWG domain.

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aiwg
211200 skills199 agents26 commands
Install
$ npx -y skills add jmagly/aiwg --skill dataset-intake --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-intake

Context preview

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

Turn a source path or URI and desired outcome into a governed dataset intake envelope for any AIWG domain.

SKILL.md

dataset-intake.SKILL.md
namespace: aiwg
name: dataset-intake
description: Turn a source path or URI and desired outcome into a governed dataset intake envelope for any AIWG domain.
version: 1.0.0
platforms: [all]
aliases: [data onboarding, dataset onboarding, source intake]
triggers: [use this customer export, onboard this dataset, use these files, ingest this corpus, connect this data source]

Dataset Intake

Accept a source path/URI and desired outcome. Default the calling domain to `project-local`; SDLC, research, knowledge-base, media, marketing, and ops use the same envelope and may add only namespaced extensions.

Create a `dataset-intake/v1` envelope without opening the source. Record opaque source locator, outcome, domain, known privacy/locality/network constraints, authorization references, and independently requested capabilities (`search`, `traceability`, `provenance`, `graph`, `export`). Do not infer credential values. Then propose `aiwg dataset preview <source> --json` and hand the intake reference to `dataset-source-assess`.

For a question about existing normalized AI session history, route inspection to `session-explore` before proposing a new dataset. A separately requested export or derived index can enter this intake using its approved source/evidence references, privacy constraints and intended outcome. Do not scan provider homes or treat catalog inspection as approval to copy transcripts into another store.

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