First Call Rampup
Audits a new rep's early sales call transcript against a foundational-skills rubric covering opening, open-ended questioning, pain uncovering, and pitch delivery. Use when coaching a newly ramped rep, reviewing their first calls, or building a rep-development plan from real call evidence.
Install
$ agentstack add skill-zime-ai-zime-gtm-skills-first-call-rampup ✓ 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-first-call-rampup) 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 First-Call Rampup Audit
Audits an early-tenure rep's call against six foundational skills — coaching-flavored, not deal-outcome-flavored. Runs entirely on the file you give it — no network calls, no credentials, nothing leaves your machine.
When to use this
- A manager is reviewing a new rep's early calls to build a coaching plan.
- A new rep wants a structured self-check before their next call.
- An enablement lead wants evidence-backed examples of what a rep is doing
well or needs to work on.
Modes
Transcript only (.txt, .vtt, .json, .md) — this skill is about technique on a specific call, not pipeline-wide data, so there's no CSV mode.
claude "run first-call-rampup on ./calls/new-rep-call-1.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 one specific thing to work on before the next call — not a list, the single highest-leverage one, framed as coaching, not a verdict. Run the reads-well-too check first: coaching feedback that reads as uniformly harsh is unlikely to be acted on.
Sample data
assets/sample-transcript.txt — synthetic early-tenure rep 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.
Reviews
No reviews yet, be the first.
Write a review
Versions
- v0.1.0 Imported from the upstream source.