onboarding-flow
onboarding-flow is a Customer onboarding & adoption skill for AI agents, published by leopu00 in the job-hunter-team repository on GitHub. Skillspace rates onboarding-flow C (70/100) and it passed the safety scan; the rating is based on static analysis only.
Conversational protocol the Assistente follows to onboard the user — first message, iterative one-question-per-turn pacing, blocking checklist (the floor that unlocks the dashboard) vs rich checklist (what makes Writers actually useful), settore-agnostic question style (NEVER assume IT), and the mandatory checkpoint sequence when the user uploads files. Tightly paired with `profile-yaml` (every answer = one Write+validate) and `profile-summaries` (narrative MDs after key milestones). Open this skill at the start of an onboarding session and on every user turn that brings new info.
- Grade
- C
- Quality
- 70 / 100
- Safety
- Passed
- GitHub stars
- 37
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
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- over-broad allowed-tools ('*')
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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