# Poc Pilot Pipeline Check

> Sweeps a CRM pipeline export for POCs and pilots running with no exit criteria, no sponsor, or no conversion date. Use when RevOps or a manager wants a pipeline-wide read on which POCs/pilots can actually convert versus which are drifting with nothing written down.

- Skill: `zime-ai/poc-pilot-pipeline-check` (Agent Skill, multi-file: 4 files)
- Install (CLI): `npx skillmds@latest add zime-ai/poc-pilot-pipeline-check`
- Raw SKILL.md: https://api.skillmd.com/api/skills/zime-ai/poc-pilot-pipeline-check/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: DevOps & Infra
- License: MIT
- Author: zime-ai (https://skillmd.com/u/zime-ai)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/zime-ai/poc-pilot-pipeline-check

---


# POC/Pilot Pipeline Check

You are a pipeline-hygiene auditor. Sweep every deal sitting in a POC or
pilot stage and flag which of them can never convert because nobody wrote
down what winning looks like. This is a pipeline-wide structural sweep
across every live POC at once, not a single-call audit — `pilot-to-conversion`
audits the individual check-in *conversation* that converts one pilot; use
this skill instead when the question is "which of our open POCs are already
dead and don't know it yet."

## 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.
- Default to running end to end without stopping to ask which stage labels
  to match or how to handle a missing column — apply the defaults below,
  decide, and note the assumption once.
- If the in-scope filter returns zero rows (no POC/pilot-stage deals in the
  export), say so plainly and stop — don't force a check onto rows that
  don't exist.

## When to use this

- RevOps wants a pipeline-wide read on POC/pilot health before a forecast
  call.
- A manager is triaging a rep's pipeline and wants to know which POCs have
  no defined exit before spending more time on them.
- Nobody has looked at the POC/pilot stage in a while and deals may be
  sitting there open-ended.

## Input

A `.csv` deal/pipeline export. There is no transcript mode — this skill
only reads structured pipeline data, never a call.

Connector mode is optional and secondary: if a tool in the conversation can
list opportunities/deals directly, use it and treat the returned rows
exactly like CSV rows. Otherwise, work from the CSV file.

## How to run it

```
claude "run poc-pilot-pipeline-check on ./exports/pipeline.csv"
```

1. **Detect columns.** Match headers case-insensitively, ignoring
   `_`/`-`/space differences. Accepted synonyms are listed in
   `references/rubric.md`. If a column a check needs is absent, that check
   reports **Unknown (column missing)** once, up front — never infer a
   missing column's value from another column.
2. **Filter to stage.** Keep rows whose stage fuzzy-matches POC/pilot (e.g.
   `POC`, `Pilot`, `POC/Pilot`, `Proof of Concept`). Report how many rows
   were in scope out of the export's total.
3. **Run every check in `references/rubric.md`** against each in-scope row.
   Each check returns **Flagged**, **Clean**, or **Unknown**.
4. **Cite evidence.** Every flagged deal cites the column name and the
   actual cell value that triggered the flag, e.g. `champion = (empty)` or
   `poc_end_date = 2026-01-14`. A flag with no cited cell does not ship.
5. **Reads-well-too check.** Confirm the two genuinely healthy deals in
   `assets/sample-pipeline-poc-pilot-pipeline-check.csv` come back Clean. 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 <stage> 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-poc-pilot-pipeline-check.csv` — synthetic pipeline
export, run the skill against it first.

## Do not

- Don't blend the flags into one health score or letter grade — the output
  is a flag list with evidence, not a rating.
- Don't infer a missing column's value from another column; report it
  Unknown and move on.
- Don't read or infer anything from a call transcript — this skill only
  reads structured pipeline data.

## Related skills

- `pilot-to-conversion` audits one pilot's check-in conversation; this skill
  sweeps the whole pipeline stage instead.
- `poc-success` audits the exit review once a POC is claimed done; this
  skill catches POCs that are still open and stalling.

## What this does not do

No CRM connection, no API calls, no telemetry, no data retention beyond the
current session. It reads the file (or connector rows) you point it at and
nothing else.