vercel-labs/marketing-team-eve-template is a deployable team of AI marketing agents led by a coordinating agent that delegates launches, writing, and conversion work to specialists. Teams use it through Slack or a terminal to create blog drafts, social posts, and email campaigns in Notion, Typefully, and Resend, with approval required for irreversible actions. The catalogue skills and instructions define workflows for using this marketing team.
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 vercel-labs/marketing-team-eve-template --skill linkedin-stylegit clone --depth 1 https://github.com/vercel-labs/marketing-team-eve-templateWrote 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/vercel-labs/marketing-team-eve-template/linkedin-style)<a href="https://agentmods.dev/skills/vercel-labs/marketing-team-eve-template/linkedin-style"><img src="https://agentmods.dev/badge/skills/vercel-labs/marketing-team-eve-template/linkedin-style/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/vercel-labs/marketing-team-eve-template/linkedin-style"><img src="https://agentmods.dev/badge/skills/vercel-labs/marketing-team-eve-template/linkedin-style.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 | $0.00014 | $0.00532 |
| Opus 5 | $0.00007 | $0.00266 |
| Sonnet 5 | $0.00003 | $0.00106 |
| Haiku 4.5 | $0.00001 | $0.00053 |
Grade A, and why
linkedin-style 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 — 33 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LinkedIn voice & style
When writing or editing a LinkedIn post:
- Hook first. Only ~200 characters show on mobile before "…see more", so the first line decides whether anyone expands the post. Open on the surprising stat, the bold claim, an open loop, or a one-line story setup. No throat-clearing, no "A few thoughts on…".
- One idea per post. If you have two, write two posts. How-tos and concrete lists land best.
- Short lines and single-sentence paragraphs, with white space between them. It's read on a phone, and the gaps keep it scannable.
- Concrete and specific: a number, a result, a before/after, a moment. No vague inspiration.
- Deliver the value in the feed. Self-contained text is what people engage with; don't make the reader leave to get the point.
- End with a genuine question or a clear takeaway, not a "thoughts? 👇" prompt. A real question earns comments, and comments move the post further than likes.
- At most one emoji, and only if it earns its place. 3–5 relevant hashtags max, grouped at the end, CamelCase and specific (
#BusinessWriting, not#Business). They're topic signals, not a discovery feed. - No "I'm humbled to announce", no engagement-bait, no "Agree?" closers or reaction-poll chains.
- Links suppress reach. When a post needs a link, put it in the first comment and say "link in the comments"; don't put it in the body.
Structure
- Hook: the surprising claim or the moment, line one (before the fold).
- Turn: the tension, or the thing most people get wrong.
- Payoff: what you learned, with a concrete detail.
- Close: one question or one takeaway.
References
references/best-practices.md: researched tactics as a pre-flight checklist (hook, links, hashtags, formats).references/post-specs.md: character limits and document/carousel specs for quick lookup.references/banned-words.json: the words to avoid. Thelint_against_styletool checks a draft against this list (surfacelinkedin), so run the tool rather than reading the file.
What ships with it
3 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.
- 13d ago First seen · 33 lines · 14 tokens per session scan A fcff8edaf879
linkedin-style is a skill published in the GitHub repository vercel-labs/marketing-team-eve-template (436 stars, last pushed 23d ago), licensed MIT. It adds 14 tokens to every session and 532 once invoked, about $0.0001 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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