Individual skill
onboarding-journeys
Build the onboarding journey tree (signup to first output, with % splits, last-observed-step counts, window-bounded later activity, and example replays) and render a screenshot per step. Use when asked for an onboarding storyboard, each cohort's last recorded step or later activity within a window, or frames for each onboarding step.
templates/analytics/.agents/skills/onboarding-journeys/SKILL.md
Source commit ff01b4009091c2140edb34d6f790ec64e7823356
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- agents Repository topic
- ai Repository topic
- react Repository topic
- agent-native Repository topic
- typescript Repository topic
- agent-framework Repository topic
- agentic-ai Repository topic
- ai-agents Repository topic
- framework Repository topic
- generative-ui Repository topic
- engineering Derived category
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# Onboarding Journeys
The pipeline runs without a UI. Codex does all four steps from the terminal:
1. Call `get-onboarding-journey` as an MCP tool of the deployed Analytics app.
Save the JSON result as `tree.json`.
2. Run the capture CLI from the agent-native checkout:
`pnpm --filter analytics journey:capture --tree tree.json --out ./frames`
(`--per-node 2 --concurrency 3`, `--min-aspect` / `--max-aspect`, `--dry-run`
to print the plan, `--upload` for private `attachmentRef`s, or
`--upload --upload-target cdn` for standard Builder CDN URLs).
3. Call Design's `create-journey-canvas` with
`{ title, tree, frames: [{ nodeKey, exampleIndex, imageUrl?, attachmentRef?, width, height, capturedAt }], designId? }`
-> `{ designId, url, nodeCount, frameCount }`. Build `frames` from