onboarding
onboarding is a Game development skill for AI agents, published by kyh in the vibedgames repository on GitHub. Skillspace rates onboarding D (68/100) and it passed the safety scan; the rating is based on static analysis only.
First-30-seconds design, invisible tutorials, difficulty curves, failure/retry loops and assist modes for link-shared browser games — distilled from George Fan's PvZ tutorial rules, Jenova Chen's flow thesis, Koster's Theory of Fun, Juul's Art of Failure, and Celeste's Assist Mode. Use when: 'players don't get it', 'people quit immediately', 'does it need a tutorial?', 'too hard/too easy', 'tune the difficulty', 'make the start better', 'add an easy mode', or auditing a game's first minute before shipping.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 53
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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