Improve Demo
Audits a product demo call transcript against a rubric covering tailoring, stakeholder presence, engagement, and outcome clarity, or sweeps a CRM export for demos with no documented next step. Use when reviewing a demo call, coaching a rep on demo delivery, or checking pipeline for demos that didn't produce a clear next step.
Install
$ agentstack add skill-zime-ai-zime-gtm-skills-improve-demo ✓ 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-improve-demo) 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 Demo Audit
Audits a product demo call against seven dimensions covering whether it was tailored, well-attended, engaging, and produced a clear outcome. Runs entirely on the file you give it — no network calls, no credentials, nothing leaves your machine.
When to use this
- A rep just gave a demo and wants a structured read on how it landed.
- A manager is reviewing demo calls for coaching.
- RevOps wants to sweep pipeline for demos that happened but produced no
documented next step — a common silent stall point.
Modes
Dispatch on the input file's extension.
Transcript mode (.txt, .vtt, .json, .md)
claude "run improve-demo on ./calls/acme-demo.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 the single biggest thing that would have made this demo land better. Run the reads-well-too check first.
CSV mode (.csv)
claude "run improve-demo on ./exports/pipeline.csv"Structural sweep only. For deals with a demo marked complete, check whether next-step and stakeholder fields are populated. Table: deal, value, dimensions missing, sorted by value descending.
Sample data
assets/sample-transcript.txt — synthetic demo 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.