Install
$ agentstack add skill-zime-ai-zime-gtm-skills-meddicc ✓ 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.
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
MEDDICC Qualification Audit
Audits a sales conversation against the seven MEDDICC letters. Unlike the stage skills in this repo, MEDDICC isn't tied to one point in the deal — run it against a discovery call, a technical call, or a late-stage negotiation, and it scores whatever letters that specific call could plausibly have surfaced.
When to use this
- Prepping for a forecast or deal-review call and want a structured read on
qualification gaps before a manager asks.
- A rep wants to know which MEDDICC letters this call actually covered vs.
which are still open.
- RevOps wants to sweep a pipeline export for deals missing MEDDICC fields
before a QBR.
Modes
Transcript mode (.txt, .vtt, .json, .md)
claude "run meddicc on ./calls/acme-call.txt"
Read the transcript, then score it against each letter in references/rubric.md. For every letter, output:
- Status — Covered / Partial / Missed / Not applicable to this call
- Evidence — a direct quote from the transcript. If a letter genuinely
wasn't addressable on this specific call (e.g. a first discovery call can't reasonably cover Decision process in depth), say Not applicable rather than scoring it Missed — a MEDDICC read that penalizes every call for not being the final negotiation call is not useful.
- Note — one line, only if Partial or Missed
Close with the single biggest qualification risk if this deal were forecast today, and what call or action would close it.
CSV mode (.csv)
claude "run meddicc on ./exports/pipeline.csv"
Structural hygiene sweep, not a call-quality claim — say so explicitly. For each deal row, check whether fields corresponding to the seven letters are present and non-trivial. Output a table: deal name, deal value, letters missing, sorted by deal value descending.
Sample data
assets/sample-transcript.txt is a synthetic mid-stage qualification call — run the skill against it first.
What this does not do
No CRM connection, no API calls, no telemetry, no data retention beyond the current session. It reads the file you point it at and nothing else.
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.