narrative-io

Additional context about the source system. With no arguments, the skill walks the user through interactively.

The user's intent (e.g., /create-workflow daily refresh of active_users at midnight UTC). With no arguments and no tail, the skill asks via AskUserQuestion.

Render the YAML and show it without submitting.

The user's analytical question. With no arguments, the skill walks the user through interrogation interactively.

Treated as the phrase if --phrase is not given (e.g., /find-attribute graph edge). With no arguments and no tail, the skill asks via AskUserQuestion.

Skip Phase 5 NQL re-validation. Intended for same-conversation hand-off from /generate-rosetta-stone-mappings. Do NOT pass when the input is from a file, a paste, or a prior conversation — the schema may have drifted.

Natural-language intent naming the source dataset and what to map (e.g., "map dataset 12345 to Rosetta Stone", "evaluate the mappings on dataset N"). This skill takes no flags; it resolves the dataset and gathers context interactively. With no arguments, it asks which dataset to map.

A note about what the caller needs profiled (e.g., "id-type distribution", "fill rate on the email columns"). Steers column focus and which custom measures, if any, matter.

Treated as the user's question (e.g., /write-nql --dataset 12345 how many distinct users last 30 days). With no arguments, the skill walks the user through the flow interactively.

Interactively build a Narrative identity graph workflow from one or more first-party datasets and (optionally) third-party data sources. Confirms each input dataset is mapped to the Rosetta Stone graph edge attribute (mapping it via /generate-rosetta-stone-mappings if not), then composes and submits a workflow that unions every edge source and labels connected components. Use when: "build an ident