Systems Lab

Agent skill

contact-qualifier

Score sourced contacts against the ICP and tier them QUALIFY / MAYBE / SKIP so paid enrichment is spent only on good-fit contacts.

activeSelf-containedDeclared tools61 words

Filed under Prospecting and list building.

From kkrlstrm/gtm-pipeline · 9 skill entries · 16 · pushed 2026-09-29

What it does when it runs

Score sourced contacts against the ICP and tier them QUALIFY / MAYBE / SKIP so paid enrichment is spent only on good-fit contacts. Context-driven (segments.md rubric + personas.md + exclusions.md); no provider, no credits. Always includes a human review gate. Use when the user wants to "qualify the list", "score these contacts", or run only the qualify stage.

Automated analysis of the skill and the 0 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
  • Read
  • Bash
Actions present in the files
shell

Ask about contact-qualifier

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
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Install it

View source on GitHub ↗
git clone --depth 1 --filter=blob:none --sparse https://github.com/kkrlstrm/gtm-pipeline.git /tmp/gtm-pipeline
git -C /tmp/gtm-pipeline sparse-checkout set ".claude/skills/contact-qualifier"
mkdir -p ~/.claude/skills/contact-qualifier
cp -R "/tmp/gtm-pipeline/.claude/skills/contact-qualifier/." ~/.claude/skills/contact-qualifier/

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 ↗

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.

The skill

Source on GitHub ↗

Reproduced in full from kkrlstrm/gtm-pipeline/blob/3fdc07a14e4f3991eba66ec2e8a9feb8fec4a197/.claude/skills/contact-qualifier/SKILL.md, which is licensed APACHE-2.0 (repository). 61 words, 0 headings.

Input (list_id, optional thresholds/overrides): $ARGUMENTS

Execute the qualifier: read agents/contact-qualifier/agent.md and follow it exactly — bootstrap (config + personas.md + segments.md + exclusions.md), load sourced contacts via storage/cli.py query_by_stage, apply exclusions, classify company segment, match persona, score 0–10 per the context rubric, present the QUALIFY/MAYBE/SKIP review (Gate #2) for human sign-off, then advance_stage to qualified (or skipped). Report the tier/segment/persona breakdown.

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 contact-qualifier does and what it needs. Cheetah builds the agent setup it runs inside: data, CRM, sequencing and the guardrails.

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