Systems Lab

Skill library

himanshusaleria/gtm-engine

Publisher description: Turns Claude Code into your sales team — 8 slash-command skills for pipeline tracking, daily rituals, call analysis, lead scoring, and cold outreach. Built for 0-to-1 founders.

Catalogue scope: 7 procedural entries from 7 source paths.

installable as a pluginMIT

Repository health

GitHub’s own figures, read from its REST API. Commit and contributor totals come from the paging header rather than an estimate.

Repository metadata checked 2026-10-12 · skill files extracted 2026-09-03 · published 2026-09-05

Extraction and automated analysis describe the files at the recorded revision. They are not an editorial review or a test of the skills in use.

Stars
20
Commits
4
Last 90 days
1commits
Contributors
1
Last push
2026-07-14
First commit
2026-03-13repo created

7 skill entries

  • analyse-call
    Self-containedInstructions only1,431 words
  • cold-email

    Write cold outreach emails using signal-based, pain-first messaging. Improves itself over time.

    Self-containedInstructions only1,072 words
  • good-morning
    Needs a keyInstructions only1,754 words
  • good-night
    Needs a keyInstructions only2,119 words
  • setup
    Needs a keyInstructions only2,672 words
  • sync-calls
    Needs a keyActs undeclared901 words
  • validate-lead
    Reaches the webActs undeclared633 words

Ask about himanshusaleria/gtm-engine

Opens your assistant with this page's recorded context. Check the linked sources before relying on it.

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

Need help setting it up?

This page tells you what himanshusaleria/gtm-engine 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.

Build my GTM engine

Tell us what you want to improve. Fedor reviews the workflow and replies by email when there is a useful fit.

Fedor reviews every request personally. If there is a useful fit, he will reply by email.