sql-to-qualify · git:20260810.8e1ce3c · 2026-08-10 · sha256 7b60c5d870b8281c
sql-to-qualify git:20260810.8e1ce3cA
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--- name: sql-to-qualify description: Audits the first call after a sales-qualified lead (SQL) hand-off to check whether there's a real opportunity worth a rep's time — right contact, pain in the prospect's own words, rough budget/urgency fit, competitive awareness, and a concrete next meeting — or sweeps a CRM export for SQLs sitting untouched past this gate. Use right after an SQL is assigned and worked for the first time, before investing in a full qualification call. license: MIT metadata: zime:category: new-business zime:dimension: stage zime:stage: sql-to-qualify zime:input-modes: transcript,csv --- # GTM SQL-to-Qualify Audit Audits the call that decides whether a sales-qualified lead becomes a worked opportunity — the gate before `meeting-to-qualify`, which assumes the deal is already real and digs into authority/competition/next steps in depth. This one asks the earlier question: is there even a real opportunity here, or is the MQL/SQL label doing the work instead of the call. Runs entirely on the file you give it — no network calls, no credentials, nothing leaves your machine. ## When to use this - A rep just worked a newly-assigned SQL for the first time and needs a read on whether it's worth pursuing past this call. - A sales manager wants to spot-check whether reps are actually testing SQLs or just advancing every inbound lead on the strength of the form fill. - RevOps wants to sweep a pipeline export for SQLs that have sat past this stage with no evidence the first call actually happened or landed. ## Modes Dispatch on the input file's extension. ### Transcript mode (`.txt`, `.vtt`, `.json`, `.md`) ``` claude "run sql-to-qualify on ./calls/acme-sql.txt" ``` Score the call against each dimension in `references/rubric.md`. For every dimension, output: - **Status** — Covered / Partial / Missed - **Evidence** — a direct quote or timestamp. If you can't point to a specific line, mark **Unclear** rather than guess. - **Note** — one line, only if Partial or Missed Close with a single **advance / disqualify / needs one more touch** read, with the one or two dimensions that decided it. Before finalizing, run the reads-well-too check in `references/rubric.md` — if a call that was clearly a strong, real opportunity still comes back mostly Missed, the rubric is reading too strictly. ### CSV mode (`.csv`) ``` claude "run sql-to-qualify on ./exports/pipeline.csv" ``` Structural hygiene sweep, not a call-quality audit. For rows marked SQL or past this stage, check whether fields corresponding to contact role, stated pain, budget/urgency signal, and next-meeting date are populated and non-trivial. Output a table: lead name, days since SQL, stage, dimensions missing — sorted by days since SQL descending. State explicitly that this checks whether fields were filled in, not whether the call itself was good. ## Sample data `assets/sample-transcript.txt` — a short synthetic SQL follow-up call. Run against it first before pointing this at anything of your own. ## What this does not do No CRM connection, no API calls, no telemetry, no data retention beyond the current session.