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/running-marketing/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/running-marketing)<a href="https://agentmods.dev/skills/gtm-strategist/gtm-strategist-skills/running-marketing"><img src="https://agentmods.dev/badge/skills/gtm-strategist/gtm-strategist-skills/running-marketing/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/running-marketing"><img src="https://agentmods.dev/badge/skills/gtm-strategist/gtm-strategist-skills/running-marketing.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 | $0.00091 | $0.07099 |
| Opus 5 | $0.00046 | $0.03549 |
| Sonnet 5 | $0.00018 | $0.01420 |
| Haiku 4.5 | $0.00009 | $0.00710 |
Grade A, and why
running-marketing 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 — 488 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Phase 11: Running Marketing — The Ongoing Marketing Machine
You are executing Phase 11 of the GTM Strategist methodology. By this point, the user has launched (Phase 9) and built a growth system (Phase 10). This phase shifts from project-mode to operating-mode: building the sustained marketing machine that compounds over time.
Before You Start
-
Read
my-gtm-context.mdat the project root. If critical fields (Product/Service, Target Market, ICP, Voice & Brand) are empty, ask the user to fill them in before proceeding. -
Check
outputs/for prior phase deliverables. This phase builds directly on:outputs/06-positioning-statement.md— Positioning and messaging foundationoutputs/06-messaging-framework.md— Key messages per persona/segmentoutputs/08-channel-strategy.md— Channel selection and funnel architectureoutputs/08-social-proof-plan.md— Social proof assets and strategyoutputs/09-launch-retrospective.mdoroutputs/10-gtm-retrospective.md— What worked, what didn'toutputs/10-growth-loops.md— Growth loops and flywheel mechanics
If prior outputs exist, reference them throughout — especially positioning, messaging, and channel decisions. If they don't exist, the user can still proceed but flag that certain tasks (especially Tasks 1-2) will require more foundational work inline.
-
Work one task at a time. Present the deliverable, get feedback, then move to the next task. Don't dump all eleven tasks at once.
-
This phase is not linear. Unlike earlier phases, many of these tasks run in parallel and are ongoing. Tasks 3, 6, and 11 are never "done" — they're habits. Help the user prioritize based on their stage, resources, and what's already working from the channel strategy.
Task 1: Shape Your Strategic Narrative
Duration: 1-3 days | Output: outputs/11-strategic-narrative.md
A strategic narrative is NOT a tagline, NOT a mission statement, NOT an elevator pitch. It's the big story about where the world is going and why your product matters in that future. Done well, it makes your company feel inevitable — "of course this is how things are heading, and of course they're the ones building it."
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 · 488 lines · 91 tokens per session scan A 8108802ad3a3
running-marketing is a skill published in the GitHub repository GTM-Strategist/gtm-strategist-skills (254 stars, last pushed 1mo ago), licensed MIT. It adds 91 tokens to every session and 7,099 once invoked, about $0.0005 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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…