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gtmagents AI Skills

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Browse published AI skills maintained by gtmagents. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

239

Repository stars across indexed skills

21,510

Repository forks

3,346

Average repository stars per indexed skill

90

Repository stars may repeat across skills from the same repository.

239 skills

Browse skills

GitHub

cold-email-personalization

gtmagents

Complete cold email system teaching research-driven personalization, "poke the bear" openers, custom signal hunting, and strict QA.

GitHub

discovery-calls

gtmagents

Use when planning, running, or summarizing discovery calls to uncover pain, timeline, and authority.

GitHub

social-selling

gtmagents

Use when engaging prospects through LinkedIn, communities, and social channels to spark warm conversations and meetings.

GitHub

cxo-briefing-kit

gtmagents

Use to package concise executive updates, decks, and decision logs for enterprise pursuits.

GitHub

exec-briefing

gtmagents

Use to craft concise executive updates, agendas, and follow-up logs for QBR/EBR sessions.

GitHub

elasticity-lab

gtmagents

Use to run pricing elasticity experiments with consistent assumptions and guardrails.

GitHub

drip-campaigns

gtmagents

Use when you need to map sequenced nurture flows with pacing, storytelling arcs, and value ladders.

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.