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-strategy-advisorgit 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-strategy-advisor)<a href="https://agentmods.dev/skills/growth-today/claude-skills/gt-gtm-strategy-advisor"><img src="https://agentmods.dev/badge/skills/growth-today/claude-skills/gt-gtm-strategy-advisor/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-strategy-advisor"><img src="https://agentmods.dev/badge/skills/growth-today/claude-skills/gt-gtm-strategy-advisor.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 | $0.00240 | $0.01454 |
| Opus 5 | $0.00120 | $0.00727 |
| Sonnet 5 | $0.00048 | $0.00291 |
| Haiku 4.5 | $0.00024 | $0.00145 |
Grade A, and why
gt-gtm-strategy-advisor 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 12d 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 — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GTM Strategy Advisor
Turn what you already know about your business — your CRM history, your sales deck, your website, your call recordings — into a sharp, signal-based GTM playbook you can act on.
Who this is for: VP of Sales, Head of Growth, RevOps leads, and founder-led sales teams who want a data-backed GTM motion, not a generic template. You run this on your own company and your own prospects.
What you get: a complete Excel workbook — Company + Market, ICP, Buyer Journey, Pain per Persona, Signal Library, Signal Combo Plays, Messaging Matrix, Battlecard, and a STRATEGY summary — built from your real data, not guesses.
The core idea
The quality of your playbook depends on the quality of what you feed it. Your own materials give a hypothesis; your CRM data gives real patterns. Together they produce a high-confidence playbook.
BRONZE Your materials only (deck, website, positioning doc).
A solid starting hypothesis — good before you have data pulled.
GOLD Your materials + real CRM data (closed-won / closed-lost patterns).
The standard working version — grounded in who actually buys.
GOLD + VALIDATED The above + call recordings / transcripts.
Your real sales conversations confirm or correct the hypothesis.
Step 0 — Feed it your data
Give the advisor as much real input as you can. Three ways, best combined:
- Connect your CRM. If you have a HubSpot or Salesforce connector enabled, the advisor reads your real closed-won and closed-lost patterns, contact and account fields, and deal history — this is what turns a guessed ICP into a data-backed one. (Related GT skills for pulling and cleaning this data:
gt-hubspot-admin,gt-salesforce-admin,gt-clay.) - Upload your materials. Sales deck, website copy, positioning doc, a CRM export (CSV), and any competitor notes. The more concrete, the sharper the output.
- Add call recordings. One or two recent sales-call transcripts are the single highest-leverage input — they reveal the real objections, triggers, and champion that your deck usually gets wrong.
What ships with it
8 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.
- 12d ago First seen · 92 lines · 240 tokens per session scan A c5acde0a65aa
gt-gtm-strategy-advisor is a skill published in the GitHub repository Growth-Today/claude-skills (3 stars, last pushed today), licensed MIT. It adds 240 tokens to every session and 1,454 once invoked, about $0.0012 per session on Opus 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 2026-08-31.
Other skills, from other repositories
crm-customer-management
Orchestrate CRM workflows across Salesforce, HubSpot, Zoho, and Pipedrive — customer 360 lookups, deal pipeline management, activity logging, and customer onboarding. Use when looking up a customer, checking deal status, logging a call or meeting, reviewing pipeline health, onboarding a new customer, finding stalled…
deepline-ads-audiences
Use this skill when building, enriching, auditing, or uploading B2B paid ads audiences to Google Customer Match, Meta/Facebook Custom Audiences, or LinkedIn Matched Audiences. Triggers on phrases like '/deepline-ads-audience', '/deepline-ads-audiences', 'upload this audience', 'create custom audiences', 'personal…
deepline-gtm
GTM prospecting, enrichment, outreach, and Deepline Play work/audits. Providers…
deepline-pre-research
Use when the user wants a last30days-style pre-research pass in Deepline: discover the critical public, private, CRM, workflow, social, and web data sources for a research/enrichment job; compare provider coverage; estimate Deepline credit cost; recommend the source plan before building or running the workflow; or…
gingiris-go-global
🇺🇸 AI Product / SaaS Go-Global Complete SOP — From competitor research to launch to monetization. A full-cycle playbook covering Phase 0-5 (market validation, positioning, first 100 users, user interviews, beta-to-growth) plus open-source launch, Product Hunt, Reddit, SEO/GEO, conversion, and org principles.…
deepline-analytics
Use this skill when answering business analytics, RevOps, GTM metric, pipeline, revenue, funnel, customer, or warehouse questions with Deepline. Triggers on phrases like 'query Snowflake', 'analyze pipeline', 'total ACV', 'break down by quarter', 'use the semantic layer', 'run a semantic query', or any use of…