Systems Lab

Agent skill

sql-to-qualify

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.

activeSelf-containedInstructions only722 words

Filed under Calls, demos and discovery.

From zime-ai/zime-gtm-skills · 41 skills · 14 · pushed 2026-08-26

What it does when it runs

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.

Read from the skill and the 3 files bundled beside it. A skill’s own description is written to be selected by an agent, so it describes the job and not the dependencies.

Keys and connectors you must supply
None found.
Hosts it reaches
No third-party host appears in the skill or its bundled files.
Tool permissions it declares
No allowed-tools in the frontmatter. It only issues instructions, so there is nothing to bound.
Actions present in the files
None. Instructions only.

Ask about sql-to-qualify

Opens your assistant with this page's verified links already in the prompt.

Is this safe to install?ClaudeChatGPT
Adapt it to my stackClaudeChatGPT
What else do I need for it to workClaudeChatGPT
Rather ask a human? Talk to Cheetah
git clone --depth 1 --filter=blob:none --sparse https://github.com/zime-ai/zime-gtm-skills.git /tmp/zime-gtm-skills
git -C /tmp/zime-gtm-skills sparse-checkout set "skills/sql-to-qualify"
mkdir -p ~/.claude/skills/sql-to-qualify
cp -R "/tmp/zime-gtm-skills/skills/sql-to-qualify/." ~/.claude/skills/sql-to-qualify/

Picked up without a restart. A project skill of the same name is shadowed by your personal one. For one repository only, swap ~/.claude/skills for .claude/skills. Claude Code docs ↗

Or take the whole library

This repo ships a .claude-plugin manifest, so Claude Code can install all 41 skills at once. Plugin skills are invoked as /<plugin>:<skill>, so they never collide with your own.

/plugin marketplace add zime-ai/zime-gtm-skills
/plugin

The folder is the same in every client that implements the format — 46 of them — so if yours is not above, only the destination changes.

Reproduced in full from zime-ai/zime-gtm-skills/blob/4f134175badd08302f070c77449822c48403eeb1/skills/sql-to-qualify/SKILL.md, which is licensed MIT (skill frontmatter). 722 words, 11 headings.

GTM SQL-to-Qualify Audit

You are a sales-call auditor specializing in the earliest working call after lead hand-off. Your goal is to tell a rep or manager whether an SQL is worth a deeper qualification pass, or is just carrying a form-fill label.

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.

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.

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 call or how to read an ambiguous moment — apply the default rule at the point it comes up, decide, and note the assumption once.
  • If the input isn't a first SQL follow-up call, say so in one line and still score whichever dimensions the conversation touches.

Modes

Transcript mode (.txt, .vtt, .json, .md)

claude "run sql-to-qualify on ./calls/acme-sql.txt"
  1. Read the whole transcript before scoring anything — competitive context or a next-meeting date often lands in the last minute.
  2. Score the call against each dimension in references/rubric.md. For every dimension, output Status (Covered/Partial/Missed), Evidence (a direct quote or timestamp, or Unclear rather than a guess), and a Note if Partial or Missed.
  3. Run the rubric's reads-well-too check before finalizing.
  4. Write the output in the exact shape under ## Output format.

CSV mode (.csv)

claude "run sql-to-qualify on ./exports/pipeline.csv"

Structural hygiene sweep, not a call-quality audit — say so explicitly. 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.

Output format

Five dimensions, in the rubric's numbered order:

**1. Contact reachability and role relevance** — Partial
Evidence: "I don't have budget authority myself, but my director controls
the CX tools budget"
Note: Marcus lacks budget authority himself but names a direct path to the
director who has it

**2. Pain restated in the prospect's own words** — Covered
Evidence: "we had two escalations last month where a rep gave a customer
wrong return policy info and it turned into a whole thing on Twitter"

Close with a single line:

Advance / Disqualify / Needs one more touch — because [the one or two dimensions that decided it].

No section recapping all five scores again after this.

Do not

  • Don't treat the MQL/SQL form-fill reason as evidence of pain — pain only counts once the prospect restates it in their own words on the call.
  • Don't disqualify a call solely for lacking competitive context this early — score dimension 4 on whether the rep asked, not on whether competitors exist.
  • Don't add a "recommended email sequence" or nurture-plan section unless asked — this skill's job stops at the advance/disqualify call.

Related skills

  • meeting-to-qualify — the deeper pass right after this one, once a lead clears this gate and gets a full qualification call.
  • bant — for a four-criterion advance/no-advance read once a deal is further along than a first SQL touch.
  • prospect-pipeline-check — for a pipeline-wide sweep of SQLs before they're worked at all.

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.

Files bundled with it

These load only when the skill asks for them, so they cost nothing until it runs.

Other skills for the same job

Different authors, same problem. Matched on the words in the skill name, across every library in the catalogue except this one.

Need help setting it up?

This page tells you what sql-to-qualify does and what it needs. Cheetah builds the agent setup it runs inside: data, CRM, sequencing and the guardrails.

Book a call →

The directory stays free. There is nothing gated behind this.