/dataset-intake
Turn a source path or URI and desired outcome into a governed dataset intake envelope for any AIWG domain.
Claude Code
$ npx -y skills add jmagly/aiwg --skill dataset-intake --agent claude-code
Codex
$ npx skills add jmagly/aiwg --skill dataset-intake -a codex -y
Cursor
$ npx skills add jmagly/aiwg --skill dataset-intake -a cursor -y
Gemini CLI
$ npx skills add jmagly/aiwg --skill dataset-intake -a gemini-cli -y
GitHub Copilot
$ npx skills add jmagly/aiwg --skill dataset-intake -a github-copilot -y
OpenCode
$ npx skills add jmagly/aiwg --skill dataset-intake -a opencode -y
Windsurf
$ npx skills add jmagly/aiwg --skill dataset-intake -a windsurf -y
SKILL.md
dataset-intake.SKILL.mdnamespace: 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.
Read more
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.
Reusable project context and specialist workflows for the AI tools you already use. Plan software, coordinate specialist reviews, prepare campaigns, investigate incidents, organize research, curate media, and maintain operational knowledge.
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brainstorming
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ask-matt
Ask which skill or flow fits your situation. A router over the skills in this repo.
Questions about dataset-intake.
- Which coding agents can use dataset-intake?
- dataset-intake installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.

