AI Marketing Skills is a collection of open-source workflows that help AI coding agents handle marketing and sales work, including growth experiments, pipeline management, content operations, outbound outreach, SEO, and finance analysis. It is intended for marketing and sales teams that want reusable agent-driven processes. The catalogue entries package these workflows as skills for compatible coding agents.
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 ericosiu/ai-marketing-skills --skill growth-signal-chartsgit clone --depth 1 https://github.com/ericosiu/ai-marketing-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/ericosiu/ai-marketing-skills/growth-signal-charts)<a href="https://agentmods.dev/skills/ericosiu/ai-marketing-skills/growth-signal-charts"><img src="https://agentmods.dev/badge/skills/ericosiu/ai-marketing-skills/growth-signal-charts/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/ericosiu/ai-marketing-skills/growth-signal-charts"><img src="https://agentmods.dev/badge/skills/ericosiu/ai-marketing-skills/growth-signal-charts.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 | $0.00062 | $0.01768 |
| Opus 5 | $0.00031 | $0.00884 |
| Sonnet 5 | $0.00012 | $0.00354 |
| Haiku 4.5 | $0.00006 | $0.00177 |
Grade A, and why
growth-signal-charts 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 5d 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 — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Growth Signal Charts
Create useful, source-backed AI, business, and marketing posts in the Growth Signal house style. Match the requested stage: candidate research, design exploration, one post, or a carousel. A design revision does not require restarting the research pipeline.
Repository integration
When running from a full AI Marketing Skills checkout, use its existing telemetry/version_check.py for the non-blocking update check when network access is allowed. After a run, use telemetry/telemetry_log.py with skill name growth-signal-charts, the actual duration, actual success status, and the repository's VERSION. Follow the existing explicit telemetry consent; never enable remote reporting on the user's behalf. Do not log post text, analytics, identifiers, paths, sources or credentials. A standalone copy skips unavailable repository helpers without blocking the task.
Approved direction
The default style is Field Manual / Desk Edition. “Engineering edition” refers to this practical technical-manual direction. Growth Signal remains the public series name; edition names describe visual treatments for review.
Before designing, read the Desk Edition style guide. Use the publisher's identity. A user-supplied reference can refine the layout; no private reference image or analytics export is bundled with this public skill.
- White dominates. Use graphite text, a small open-loop mark, a slim orange indexing rail, bold condensed headlines, and quiet technical labels. Source text must stay legible.
- Base palette: white
#FFFFFF, graphite#19171B, orange#F05B24; violet#6336C7may be a small accent. The publisher may choose palette experiments. Preserve the approved palette as the default until a variation is selected. - Keep illustrations small and relevant. A report, data connector, or cost ledger explains software work. Decorative bolts and machinery do not explain software by themselves.
- Leave room around the data and copy. Avoid large metadata tables, duplicate stamps, palette swatches inside posts, full-page grids, and multiple competing callouts.
- Anime is outside the default style. Do not add anime characters or manga styling to this series unless requested.
- Preserve approved designs. Label new styles as experiments; do not quietly replace the default because a new image was generated.
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.
- 5d ago First seen · 78 lines · 62 tokens per session scan A 1d2f64ad0689
growth-signal-charts is a skill published in the GitHub repository ericosiu/ai-marketing-skills (3,521 stars, last pushed 5d ago), licensed MIT. It adds 62 tokens to every session and 1,768 once invoked, about $0.0003 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 2026-09-07.
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