Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add Growth-Today/claude-skills --skill gt-gtm-playbook-buildergit clone --depth 1 https://github.com/Growth-Today/claude-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/growth-today/claude-skills/gt-gtm-playbook-builder)<a href="https://agentmods.dev/skills/growth-today/claude-skills/gt-gtm-playbook-builder"><img src="https://agentmods.dev/badge/skills/growth-today/claude-skills/gt-gtm-playbook-builder/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/growth-today/claude-skills/gt-gtm-playbook-builder"><img src="https://agentmods.dev/badge/skills/growth-today/claude-skills/gt-gtm-playbook-builder.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00207 | $0.01724 |
| Opus 5.5 | $0.00083 | $0.00690 |
| Sonnet 5.5 | $0.00041 | $0.00345 |
| Haiku 4.5 | $0.00021 | $0.00172 |
Grade A, and why
gt-gtm-playbook-builder scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 22d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GTM Alpha Playbook Generator
Builds comprehensive, industry-specific GTM Alpha playbooks for any target vendor domain. Each playbook maps the vendor's pain points to high-intent buying signals, designs Clay/Claygent workflows to detect those signals, and delivers 3-5 outbound plays with email templates.
When This Skill Triggers
The user provides a company domain (e.g., "build a GTM Alpha playbook for stamped.io") and wants a full signal-based GTM strategy. The deliverable is a Google Doc saved to a GTM playbooks folder in Google Drive.
Execution Workflow
Step 1: Extract the Target Domain
The user will provide a domain. Store it as {TARGET_DOMAIN}. This is the vendor — Growth Today's client — who will be selling to their prospects using signal-based GTM.
Step 2: Research the Target Domain
Use web search to deeply research {TARGET_DOMAIN}:
- Visit the company's website and key pages (product, pricing, about, blog)
- Search for recent news, funding, leadership changes
- Search for competitor landscape and market positioning
- Search for customer reviews (G2, Capterra, TrustRadius) to understand pain points they solve
- Search for their current GTM approach (do they have SDRs? What channels do they use?)
Synthesize findings into:
- Primary value proposition
- Key differentiators
- Target customer profile (industries, company sizes, personas)
- Current GTM approach (if discernible)
- Competitive landscape
Step 3: Load Reference Materials
Before generating the playbook, read these resources:
| Resource | Purpose |
|---|---|
resources/playbook-prompt-framework.md |
The complete playbook generation framework — follow it section by section |
resources/gtm-alpha-concept.md |
GTM Alpha philosophy, signal categories, and principles |
resources/clay-case-studies.md |
Real Clay case studies for proof points — reference but NEVER attribute their results to {TARGET_DOMAIN} |
Step 4: Generate the Playbook
Follow the Required Output Structure from resources/playbook-prompt-framework.md exactly. The playbook has 8 sections:
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 22d ago First seen · 124 lines · 207 tokens per session scan A 17ebe254d7e7
gt-gtm-playbook-builder is a skill published in the GitHub repository Growth-Today/claude-skills (6 stars, last pushed 2d ago), licensed MIT. It adds 207 tokens to every session and 1,724 once invoked, about $0.0008 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-24.
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