cold-start-interview

cold-start-interview is a Customer onboarding & adoption skill for AI agents, published by t0ddc3by in the claude-for-customer-success repository on GitHub. Skillspace rates cold-start-interview C (70/100) and it passed the safety scan; the rating is based on static analysis only.

First-time setup for your onboarding company profile — collects your role, onboarding model, segment configuration, TtV targets, milestone definitions, success criteria model, kickoff and handoff format, escalation matrix, integrations, and CS methodology preferences. Writes everything to your onboarding CLAUDE.md so all other onboarding skills have the context they need to run. Run once at setup; use /onboarding:customize for targeted updates afterward. Use --quick for a 15-minute abbreviated setup that writes the minimum fields required for most skills to function.

Grade

C

Quality

70 / 100

Safety

Passed

GitHub stars

57

Unproven: rated by static analysis only, not yet compared head-to-head.

Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: it looks like a template or a stub that was never filled in. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided

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.

Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.