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/show-and-tell-video-slateWrote 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/show-and-tell-video-slate)<a href="https://agentmods.dev/skills/ericosiu/ai-marketing-skills/show-and-tell-video-slate"><img src="https://agentmods.dev/badge/skills/ericosiu/ai-marketing-skills/show-and-tell-video-slate/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/show-and-tell-video-slate"><img src="https://agentmods.dev/badge/skills/ericosiu/ai-marketing-skills/show-and-tell-video-slate.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 | $0.00085 | $0.01276 |
| Opus 5.5 | $0.00034 | $0.00510 |
| Sonnet 5.5 | $0.00017 | $0.00255 |
| Haiku 4.5 | $0.00009 | $0.00128 |
Grade A, and why
show-and-tell-video-slate 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 2mo 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 — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Show-and-Tell Video Slate
Turn real work into videos whose opening promise is repaid by a visible artifact, workflow, result, or before/after.
Preamble
From the repository root, run the privacy-preserving version check and telemetry initializer when available:
python3 telemetry/version_check.py 2>/dev/null || true
python3 telemetry/telemetry_init.py 2>/dev/null || true
Remote telemetry is opt-in. Never log content, URLs, paths, credentials, names, business data, or proof artifacts.
Set the scope
State the authorized sources, owner, channel, viewer, runtime, deliverable, and stop condition. Keep source systems read-only. Never search unrelated accounts, repositories, conversations, or credentials.
Ask the user to rank these outcomes when not already known:
- money created;
- money saved;
- productive capacity created.
Load any supplied creator voice guide before writing titles or hooks. Reject packages that violate it even if their numeric scores pass.
Inventory filmable evidence
Inspect only supplied or authorized builds, repositories, demos, agent runs, dashboards, analytics, and workflow outputs. For every candidate record:
- viewer and business outcome;
- visible artifact and demonstration path;
- claim status: achieved, estimate, anecdote, forecast, target, or plan;
- proof pointer, freshness, and privacy limits;
- mechanism, lesson, and viewer action;
- missing pickup, capture, redaction, or validation.
Do not upgrade remembered results into verified evidence. Label provisional candidates.
Apply the show-and-tell gate
Read references/selection-rubric.md. Reject or repair a candidate unless:
- the first 30 seconds can show a real outcome, build, screen, output, or physical artifact;
- the demonstration explains or proves the package;
- one promise can sustain 15 minutes without padding;
- the viewer receives a usable mechanism or decision;
- the ending resolves the opening promise completely.
What ships with it
7 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.
- 2mo ago First seen · 114 lines · 85 tokens per session scan A 392a0128b5d8
show-and-tell-video-slate is a skill published in the GitHub repository ericosiu/ai-marketing-skills (3,784 stars, last pushed 5d ago), licensed MIT. It adds 85 tokens to every session and 1,276 once invoked, about $0.0003 per session on Opus 5.5. 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.
show-and-tell-video-slate compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| show-and-tell-video-slateericosiu/ai-marketing-skills | Skill | 3.8k | 5d ago | MIT | A | 85 | Codex |
| imagegenopenai/codex | Skill | 133k | today | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | today | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 2d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |
| chat-pet-sprite-creationmicrosoft/vscode | Skill | 195k | today | MIT | A | 53 | Claude Code, Codex |