lamina-onboarding
SolidFirst-run and learnability — primary path without training, progressive power features. Use when new actors can't complete first workflow in verify.
AI & Automation 65 stars
2 forks Updated today Apache-2.0
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Skill Content
# Onboarding (agent-native)
Onboarding = **primary actor completes first valuable workflow** without documentation — verified by actor walk, not tutorial copy alone.
## Contract encoding
- First-run workflow flagged in `workflows[]` (e.g. `onboarding: true`)
- `empty_states` + `surfaces[]` for first dashboard visit
- Power features in `secondary_actions` / progressive disclosure notes
- Optional `scenarios[]` for skipped onboarding — actor still reaches goal
## Frameworks
- **Working set**: optimize discoverability for daily operations after day one.
- **Command modalities**: pedagogic (visible labels) → immediate (shortcuts) — spec accelerators in `implement.md`, not required for pass.
- **Idioms over metaphors**: consistent patterns across screens — reference in `decisions.md`.
## Design checklists
1. First productive action obvious on empty state (`empty-states`).
2. No mandatory feature tour blocking primary workflow.
3. Help/docs are fallback — interface teaches via signifiers.
4. Novice path ⊆ expert path (experts aren't forced through wizards).
5. Onboarding workflow has full scenario coverage.
## Verify checks
- Fresh-actor subagent (low `technical_literacy` persona if defined) completes first workflow.
- No dead ends before first value delivered.
## Anti-patterns
- Multi-step modal tour before any action.
- Expert-only shortcuts with no discovery path.
- Metaphor-bound IA that breaks at scale.
## Related
- [Empty States](../lamina-empty-states/SKILL.md)
...
Details
- Author
- aryaniyaps
- Repository
- aryaniyaps/lamina
- Created
- 3 weeks ago
- Last Updated
- today
- Language
- TypeScript
- License
- Apache-2.0
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