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 magnus919/agent-skills --skill go-to-marketgit clone --depth 1 https://github.com/magnus919/agent-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/magnus919/agent-skills/go-to-market)<a href="https://agentmods.dev/skills/magnus919/agent-skills/go-to-market"><img src="https://agentmods.dev/badge/skills/magnus919/agent-skills/go-to-market/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/magnus919/agent-skills/go-to-market"><img src="https://agentmods.dev/badge/skills/magnus919/agent-skills/go-to-market.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 | $0.00135 | $0.00938 |
| Opus 5 | $0.00068 | $0.00469 |
| Sonnet 5 | $0.00027 | $0.00188 |
| Haiku 4.5 | $0.00014 | $0.00094 |
Grade A, and why
go-to-market 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 9d 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 — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Go-to-Market — CMO Methodology
CMO-level methodology for go-to-market strategy, positioning, acquisition, brand, and growth modeling. This skill provides the frameworks and reference material for a chief marketing officer profile.
When to Load
| Trigger | What's Needed |
|---|---|
| Define positioning and messaging | references/positioning-messaging.md — Dunford framework, message hierarchy |
| Build acquisition channel strategy | references/acquisition-strategy.md — channel mix, PLG/SLG, funnel metrics |
| Design brand architecture | references/acquisition-strategy.md — brand systems, visual identity, brand health |
| Model growth economics | references/growth-modeling.md — CAC/LTV, cohort analysis, market entry |
| Develop competitive response | references/acquisition-strategy.md — pricing wars, feature races, brand defense |
| Plan market entry | references/growth-modeling.md — beachhead, land-and-expand, channel economics |
Loading Order
skill_view('go-to-market')
# Then domain-specific references:
skill_view('go-to-market', file_path='references/positioning-messaging.md')
skill_view('go-to-market', file_path='references/acquisition-strategy.md')
skill_view('go-to-market', file_path='references/growth-modeling.md')
Reference Files
| Reference | Purpose |
|---|---|
references/positioning-messaging.md |
April Dunford positioning, message hierarchy (elevator pitch → value prop → narrative), positioning diagnostic |
references/acquisition-strategy.md |
Channel taxonomy, PLG vs SLG playbooks, sales funnel ratios, competitive response playbook, brand architecture |
references/growth-modeling.md |
CAC/LTV deep dive, cohort analysis practical guide, NRR, market entry strategy (beachhead, land-and-expand) |
references/decision-workflow.md |
Bounded launch/channel decisions, worked beachhead example, reusable memo, and owner routing matrix |
Output Contract
The profile using this skill produces artifact pyramids. The response to any caller is the absolute path to 00-index.md. See artifact-pyramids skill for the specification.
What ships with it
6 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.
- 9d ago Changed · +2 lines · +29 tokens per session 33076361787b
- 13d ago First seen · 67 lines · 106 tokens per session scan A cb6499812cbe
go-to-market is a skill published in the GitHub repository magnus919/agent-skills (76 stars, last pushed yesterday), licensed MIT. It adds 135 tokens to every session and 938 once invoked, about $0.0007 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…