Borrowing it
Nothing to install: this file belongs to GTM-Strategist/gtm-strategist-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/GTM-Strategist/gtm-strategist-skills/master/.claude/skills/building-communication-engine/SKILL.mdgit clone --depth 1 https://github.com/GTM-Strategist/gtm-strategist-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/gtm-strategist/gtm-strategist-skills/building-communication-engine)<a href="https://agentmods.dev/skills/gtm-strategist/gtm-strategist-skills/building-communication-engine"><img src="https://agentmods.dev/badge/skills/gtm-strategist/gtm-strategist-skills/building-communication-engine/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/gtm-strategist/gtm-strategist-skills/building-communication-engine"><img src="https://agentmods.dev/badge/skills/gtm-strategist/gtm-strategist-skills/building-communication-engine.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00083 | $0.02604 |
| Opus 5 | $0.00042 | $0.01302 |
| Sonnet 5 | $0.00017 | $0.00521 |
| Haiku 4.5 | $0.00008 | $0.00260 |
Grade A, and why
building-communication-engine 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 13d 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 — 209 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Phase 8: Building Your GTM Communication Engine
This is Phase 8 of the GTM Strategist methodology. You have your product defined, pricing set, positioning crafted, and launch assets prepared. Now you build the engine that gets your message to market.
This phase answers: How will we reach our market, through which channels, with what budget, and who owns what?
Before Starting
Read my-gtm-context.md first. Key sections: Target Market (2), ICP (3), Team & Resources (8), Goals (9), Voice (10).
Check outputs/ for prior phase work. This phase builds on:
outputs/01-*.md— OPE canvas, value prop, 90-day plan (Phase 1)outputs/03-*.md— Validated ICP/ECP personas (Phase 3)outputs/05-*.md— Pricing strategy and business model (Phase 5)outputs/06-*.md— Positioning, UVP/USP, messaging (Phase 6)outputs/07-*.md— Website, demo, media kit, pitch deck (Phase 7)
If key prior outputs are missing, tell the user which phase to complete first and why.
Task 1: Choose GTM Actions & Understand GTM Motions
Output file: outputs/08-gtm-motions.md
Duration: 1-3 hours
Map the five core GTM motions and choose which fit your stage and resources.
The Five GTM Motions: Inbound (content/SEO pulls prospects to you), Outbound (direct outreach), Product-Led/PLG (free trial/freemium), Community-Led (build audience first), Partner-Led (leverage others' audiences).
For each motion, score 1-5 on: ICP Fit, Resource Match, Time to Results, Scalability, Stage Fit.
Stage-based defaults:
- Pre-launch → Community-Led + Outbound (build audience before product)
- Just launched → Outbound + Inbound (direct outreach for fastest feedback)
- Post-launch → Inbound + PLG (content compounds; product sells itself)
- Scaling → All five based on channel data
Within each motion, pick specific actions. Do not try everything — pick 3-5 total actions across motions. Deliver: selected motions (ranked with scores), selected GTM actions (with owner, timeline, success metric), motions deprioritized (and why), key assumptions to validate.
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.
- 13d ago First seen · 209 lines · 83 tokens per session scan A b6f65ba27315
building-communication-engine is a skill published in the GitHub repository GTM-Strategist/gtm-strategist-skills (254 stars, last pushed 1mo ago), licensed MIT. It adds 83 tokens to every session and 2,604 once invoked, about $0.0004 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 2026-08-30.
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