Sweeps a closed-won deal export for missing handoff and record data the post-sale team needs — CS owner, kickoff date, signed value/term, contract reference, and date/stage consistency. Use when a deal desk or RevOps person wants to check closed-won deals before they hand off to onboarding/CS, or audit a pipeline export for won deals with incomplete records. Also use when the user asks which closed-won deals have incomplete handoff records.
Installs into .claude/skills of the current project.
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---
name: won-pipeline-check
description: Sweeps a closed-won deal export for missing handoff and record data the post-sale team needs — CS owner, kickoff date, signed value/term, contract reference, and date/stage consistency. Use when a deal desk or RevOps person wants to check closed-won deals before they hand off to onboarding/CS, or audit a pipeline export for won deals with incomplete records. Also use when the user asks which closed-won deals have incomplete handoff records.
license: MIT
metadata:
zime:category: new-business
zime:dimension: stage
zime:stage: Won pipeline
zime:input-modes: csv,connector
---
# Won Pipeline Check
You are a pipeline-hygiene auditor. Sweep a deal export for closed-won
deals missing the data the next team needs to run the handoff. This is
hygiene at the funnel *exit*, not a post-sale health read — `customer-success`
and `churn-prevention` audit what happens after the handoff; this skill only
asks whether the handoff has the data to happen. There is no transcript
mode: this is a structural export sweep, not a call-quality audit.
## 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 which stage label
counts as "Won" or how to treat a missing column; apply the defaults
below, decide, and note the assumption once.
- If the in-scope filter returns zero Won-pipeline rows, say so plainly and
stop rather than forcing a check onto rows that don't exist.
## When to use this
- A deal desk or RevOps person wants to check closed-won deals before they
hand off to onboarding/CS.
- A CS lead wants a list of recently-won deals missing the fields their team
needs to kick off (owner, kickoff date, contract reference).
- Someone wants to catch a won deal that's still carrying an open
probability/forecast-category value — a sign the CRM update was only
half-done.
## How to run it
```
claude "run won-pipeline-check on ./exports/pipeline.csv"
```
**Input.** A `.csv` deal/pipeline export. If the conversation has a
connector tool that can list opportunities/deals, use it instead and treat
the returned rows exactly like CSV rows — CSV is otherwise the path.
**Column detection.** Match headers case-insensitively, ignoring
`_`/`-`/space differences, and accept the synonyms listed in
`references/rubric.md`. If a column a check needs is absent from the
export, that check reports **Unknown (column missing)** for every row —
state this once, up front, and never infer the value from another column.
**Stage filter.** Operate only on rows whose stage fuzzy-matches "Won
pipeline" (i.e. Closed Won and close synonyms — see
`references/rubric.md`). Report how many rows were in scope and how many
the export held in total.
**Run each of the six checks in `references/rubric.md`** against every
in-scope row. Each check returns **Flagged**, **Clean**, or **Unknown**.
**Evidence rule.** Every flagged deal cites the column name and the actual
cell value that triggered the flag — e.g. `close_date = 2026-01-14`, or
`champion = (empty)`. A flag with no cited cell does not ship.
**Reads-well-too check.** Apply the check in `references/rubric.md` before
finalizing — a rubric that flags everything is useless.
## Output
One markdown table, flagged deals first, most flags first:
| Deal | Flags | Evidence | Suggested action |
Then two closing lines:
- `N of M deals in Won pipeline flagged`
- The single most common flag across them.
Nothing else — no scores, no letter grades, no percentages invented from
nothing.
## Sample data
`assets/sample-pipeline-won-pipeline-check.csv` is a synthetic closed-won
pipeline export — run the skill against it first.
## Do not
- Don't blend the six checks into one score or letter grade — the output is
a flag list with cited evidence, not a rating.
- Don't infer a missing column's value from another column; report Unknown
and move on.
- Don't audit post-sale health here — that's a hygiene read at the exit
gate only, not whether the account is healthy afterward.
## Related skills
- `negotiation-pipeline-check` covers the pipeline before it wins; this
skill picks up right after.
- `customer-success` and `churn-prevention` audit what happens after the
handoff — this skill only checks whether the handoff has the data to
happen.
## 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.