Install
$ agentstack add skill-zime-ai-zime-gtm-skills-meddpicc ✓ 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
MEDDPICC Qualification Audit
Audits a sales conversation against the eight MEDDPICC letters. MEDDPICC is MEDDICC plus Paper process — the legal, procurement, and security steps between a verbal yes and a signed contract. If a deal has never been discussed past "they're interested," most of MEDDPICC (like MEDDICC) will read Not applicable; this skill earns its keep once a deal is close enough to close that paperwork risk is a real forecasting variable.
When to use this vs. meddicc
Run meddicc for qualification during discovery and mid-funnel calls — the seven letters it covers (this skill covers the same seven, worded identically) don't need a paperwork lens yet. Reach for meddpicc instead once a deal is realistically a quarter or less from close and the open question is no longer "are they qualified" but "what stands between verbal yes and signature" — legal redlines, procurement cycles, security review, who actually signs. Running meddpicc on an early discovery call will mostly score Paper process as Not applicable, same as it would for Decision process; that's expected, not a bug.
Modes
Transcript mode (.txt, .vtt, .json, .md)
claude "run meddpicc 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. Paper process on a first discovery call, before anyone has discussed timelines to close), say Not applicable rather than scoring it Missed.
- 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. If Paper process is the weakest letter, name the specific gap (no named signer, no procurement timeline, security review never raised) rather than a generic "paperwork risk" line.
CSV mode (.csv)
claude "run meddpicc 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 eight letters are present and non-trivial, including a Paper process field (signer, contract stage, security-review status). Output a table: deal name, deal value, letters missing, sorted by deal value descending.
Sample data
assets/sample-transcript.txt is a synthetic late-stage call where paperwork, not qualification, is the open risk — 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.