challenge-onboarding

Automate onboarding workflows by guiding users through structured discovery and commitment assessment. The system uses dynamic questioning to configure schedules and milestones, producing artifacts like challenge-config.json for end-to-end execution.

Yes, it supports fitness, habit, learning, building, and creative challenge types. Dynamic question logic adapts the onboarding flow based on the specific challenge category to ensure tailored scheduling and milestone generation.

Commitment scoring evaluates user availability and resolves scheduling conflicts to generate a formal schedule. This ensures milestones are realistic and aligned with the user's capacity before producing the final schedule.md artifact.

Generate milestones by completing the AI-driven onboarding discovery process. The workflow computes commitment scores and outputs a formal milestones.md file alongside the challenge configuration for persistence and reuse.

No, but the onboarding workflow integrates with Streak, Punishment, and Schedule Replanner skills. These complementary tools handle downstream accountability and conflict resolution after the initial challenge configuration is generated.

The onboarding process produces challenge-config.json, schedule.md, and milestones.md. These artifacts capture the dynamic questioning results, commitment scores, and formal scheduling data for persistence and integration.