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
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/ericosiu/ai-marketing-skillsnpx agentmods add skills/ericosiu/ai-marketing-skills/conversion-opsWrote 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/conversion-ops)<a href="https://agentmods.dev/skills/ericosiu/ai-marketing-skills/conversion-ops"><img src="https://agentmods.dev/badge/skills/ericosiu/ai-marketing-skills/conversion-ops/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/conversion-ops"><img src="https://agentmods.dev/badge/skills/ericosiu/ai-marketing-skills/conversion-ops.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 | $0.00000 | $0.01080 |
| Opus 5 | $0.00000 | $0.00540 |
| Sonnet 5 | $0.00000 | $0.00216 |
| Haiku 4.5 | $0.00000 | $0.00108 |
Grade A, and why
conversion-ops 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 10d 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 — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Conversion Ops
Preamble (runs on skill start)
# Version check (silent if up to date)
python3 telemetry/version_check.py 2>/dev/null || true
# Telemetry opt-in (first run only, then remembers your choice)
python3 telemetry/telemetry_init.py 2>/dev/null || true
Privacy: This skill logs usage locally to
~/.ai-marketing-skills/analytics/. Remote telemetry is opt-in only. No code, file paths, or repo content is ever collected. Seetelemetry/README.md.
AI-powered conversion rate optimization: landing page audits, CRO scoring, survey segmentation, and lead magnet generation.
When to Use
- User asks for a landing page audit or CRO analysis
- User wants to score a page across conversion dimensions
- User needs to identify conversion bottlenecks on a URL
- User has survey data and wants to segment respondents by pain point
- User wants lead magnet ideas generated from survey responses
- User needs batch CRO analysis across multiple URLs
Tools
CRO Audit (cro_audit.py)
Fetches a landing page and scores it across 8 conversion dimensions. No headless browser needed.
# Single URL audit
python cro_audit.py --url https://example.com/landing-page
# Batch mode — multiple URLs
python cro_audit.py --urls https://example.com/page1 https://example.com/page2
# URLs from a file (one per line)
python cro_audit.py --file urls.txt
# Specify industry for benchmark comparison
python cro_audit.py --url https://example.com --industry saas
# JSON output
python cro_audit.py --url https://example.com --json
# Save report to file
python cro_audit.py --url https://example.com --output report.json
Scoring dimensions (each 0–100):
- Headline Clarity — Is the value prop obvious in <5 seconds?
- CTA Visibility — Are CTAs prominent, contrasting, above the fold?
- Social Proof — Testimonials, logos, case studies, numbers?
- Urgency — Scarcity, deadlines, limited offers?
- Trust Signals — Security badges, guarantees, privacy, certifications?
- Form Friction — How many fields? Is the form intimidating?
- Mobile Responsiveness — Viewport meta, responsive patterns, touch targets?
- Page Speed Indicators — Image optimization, script count, resource size?
What ships with it
4 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.
- 10d ago First seen · 131 lines · 0 tokens per session scan A 56934509a15f
conversion-ops is a skill published in the GitHub repository ericosiu/ai-marketing-skills (3,507 stars, last pushed 2d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,080 tokens. 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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