Onboarding Journey
Audits a new-customer onboarding call transcript against a rubric covering onboarding experience, sentiment, and early expansion signal, or sweeps a CRM export for onboarding accounts with no documented health signal. Use when reviewing an onboarding check-in call, or checking a new-customer list for onboardings going quiet.
Install
$ agentstack add skill-zime-ai-zime-gtm-skills-onboarding-journey ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-zime-ai-zime-gtm-skills-onboarding-journey) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
GTM Onboarding Journey Audit
Audits a new-customer onboarding call against five dimensions covering whether onboarding is genuinely on track. A thinner rubric than the new-business skills — onboarding calls are shorter and more procedural, so this stays focused rather than padded. Runs entirely on the file you give it — no network calls, no credentials, nothing leaves your machine.
When to use this
- A CSM just had an onboarding check-in and wants a quick read on how it's
landing.
- A CS lead wants to spot-check onboarding calls across a cohort.
- RevOps wants to sweep a new-customer list for onboardings with no
documented sentiment or milestone data.
Modes
Dispatch on the input file's extension.
Transcript mode (.txt, .vtt, .json, .md)
claude "run onboarding-journey on ./calls/acme-onboarding.txt"Score against references/rubric.md. Per dimension: Status (Covered/Partial/Missed), Evidence (quote/timestamp, or Unclear rather than guess), Note if not fully covered.
Close with an on-track / needs-attention read. Run the reads-well-too check first.
CSV mode (.csv)
claude "run onboarding-journey on ./exports/new-customers.csv"Structural sweep only. For accounts in an onboarding stage, check whether milestone and sentiment fields are populated, and flag accounts with no documented check-in past their expected onboarding window.
Sample data
assets/sample-transcript.txt — synthetic onboarding check-in call.
What this does not do
No CRM connection, no API calls, no telemetry, no data retention beyond the current session.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: zime-ai
- Source: zime-ai/zime-gtm-skills
- License: MIT
- Homepage: https://zime.ai
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.