End Client Registration
ASecurityAudits a partner/reseller's end-client deal registration for completeness — partner identity, end-client entity kept distinct from the partner, engagement scope, conflict check against the direct pipeline, confirmed permission to engage the end-client contact, commercial terms, and an expiry window. Use when reviewing a channel/partner deal registration export or a partner registration-review call, before accepting the registration into the partner pipeline. Distinct from `new-business-regist...
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[](https://www.skillsdirectory.com/skills/zime-ai-end-client-registration)---
name: end-client-registration
description: Audits a partner/reseller's end-client deal registration for completeness — partner identity, end-client entity kept distinct from the partner, engagement scope, conflict check against the direct pipeline, confirmed permission to engage the end-client contact, commercial terms, and an expiry window. Use when reviewing a channel/partner deal registration export or a partner registration-review call, before accepting the registration into the partner pipeline. Distinct from `new-business-registration` (sibling skill), which audits a direct new-logo opportunity with no partner involved. Also use when the user asks whether a partner deal registration is complete, clean, or safe to accept.
license: MIT
metadata:
zime:category: new-business
zime:dimension: stage
zime:stage: registration
zime:input-modes: csv,transcript
---
# End-Client Registration Audit
You are a channel-registration auditor. Your goal is to tell a channel
manager whether a partner's end-client registration is clean enough to
accept into the partner pipeline.
Audits whether a partner's end-client deal registration is complete and
clean enough to accept into the partner program's pipeline — not whether
the underlying deal itself is any good. CSV-first, since registration
exports are records, not calls; a transcript mode covers the registration
review conversation itself when one happened.
**No canonical framework caveat.** Deal/channel registration has no
canonical public framework the way BANT or MEDDPICC do. The checks in
`references/rubric.md` are built from general partner-program practice —
not from any named standard — and that's stated there explicitly rather
than implying one exists.
## When to use this
- A channel manager is reviewing a batch of incoming partner registrations
before approving them into the pipeline.
- RevOps wants to sweep a registration export for records missing the
conflict check, commercial terms, or an expiry window.
- A partner registration-review call just happened and someone wants a
structured read on what was actually confirmed versus assumed.
## Before you start
- If `.agents/gtm-context.md` (or `.claude/gtm-context.md`) exists, read it
first and don't ask for anything it already answers.
- Run this end to end in one pass — don't stop to ask about an ambiguous
cell, note it and move on.
- If a row or call is clearly a direct new-logo deal with no partner
involved, say so and point to `new-business-registration` instead of
scoring it against this rubric.
- If a column a check needs is entirely absent from the export, that check
reports **Unknown (column missing)** for every row rather than guessing.
## Modes
### CSV mode (`.csv`) — primary
```
claude "run end-client-registration on ./exports/registrations.csv"
```
For each registration row, check it against every dimension in
`references/rubric.md`. Match columns case-insensitively, ignoring
`_`/`-`/space differences (e.g. `partner_name`/`Partner Name`,
`end_client_name`/`End Client`, `conflict_check_done`/`Conflict Check`,
`margin_tier`/`Discount Tier`, `expiry_date`/`Protection End Date`). If a
column a check needs is entirely absent from the export, that check reports
**Unknown (column missing)** for every row rather than guessing.
Output one markdown table, flagged registrations first, ordered by most
flags first:
| Registration | Flags | Evidence | Suggested action |
Every flag cites the column name and the actual cell value that triggered
it (e.g. `conflict_check_done = (empty)` or `end_client_name = partner
name repeated`). A flag with no cited cell does not ship.
Close with two lines:
- `N of M registrations flagged`
- The single most common flag across the flagged registrations
### Transcript mode (`.txt`, `.vtt`, `.json`, `.md`)
```
claude "run end-client-registration on ./calls/registration-review.txt"
```
Read the transcript of a partner registration-review call, then score it
against each dimension in `references/rubric.md`. For every dimension:
- **Status** — Covered / Partial / Missed
- **Evidence** — a direct quote from the transcript, or mark **Unclear**
rather than guess
- **Note** — one line, only if Partial or Missed
Close with a single **Approve / Approve pending the listed follow-ups / Do
not approve yet** call, and the one thing that would change your answer.
## Do not
- Don't blend the seven dimensions into one approval score — flag each
independently, most-flags-first.
- Don't confirm engagement permission from the partner's word alone — score
dimension 5 only from an explicit end-client confirmation.
- Don't score a direct new-logo registration against this rubric — route it
to `new-business-registration` instead.
## Related skills
- **`new-business-registration`** (sibling) — for a direct new-logo
opportunity with no partner involved.
## Sample data
`assets/sample-registrations.csv` is a synthetic registration export with 8
rows — several deliberately triggering flags (a conflated partner/end-client
entity, a missing conflict check, an unconfirmed contact, missing
commercial terms, no expiry, a real conflict with an existing house
opportunity) and at least one genuinely clean registration. Run against it
first. `assets/sample-transcript.txt` is a synthetic partner
registration-review call for transcript mode.
## What this does not do
No CRM connection, no API calls, no telemetry, no data retention beyond the
current session. It reads the file(s) you point it at and nothing else.
Files in this skill
- SKILL.md
- assets/sample-registrations.csv
- assets/sample-transcript.txt
- evals/evals.json
- references/rubric.md
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