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 shortform-idea-grillgit 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/shortform-idea-grill)<a href="https://agentmods.dev/skills/ericosiu/ai-marketing-skills/shortform-idea-grill"><img src="https://agentmods.dev/badge/skills/ericosiu/ai-marketing-skills/shortform-idea-grill/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/shortform-idea-grill"><img src="https://agentmods.dev/badge/skills/ericosiu/ai-marketing-skills/shortform-idea-grill.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 | $0.00113 | $0.00983 |
| Opus 5 | $0.00056 | $0.00491 |
| Sonnet 5 | $0.00023 | $0.00197 |
| Haiku 4.5 | $0.00011 | $0.00098 |
Grade A, and why
shortform-idea-grill 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 — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Shortform Idea Grill
Turn current work into success-led videos that earn attention quickly and fully repay the opening promise.
Load the right context
Inspect supplied chats, briefs, transcripts, analytics, creator research, offers, and prior content before asking questions. Prefer work from the current week and ideas not already published.
Read:
references/intake-schema.mdbefore interviewing.references/output-contract.mdbefore drafting.references/scoring-rubric.mdbefore scoring.references/ideas-schema.mdwhen saving machine-readable output.
Do not ask for information already present. Distinguish live evidence from remembered context.
Interview one question at a time
Resolve these items in order:
- desired outcome;
- target viewer and relevant moment;
- owned proof and measurable results;
- current builds, experiments, opinions, and predictions;
- claim boundaries;
- CTA and destination;
- available screens, artifacts, and recording constraints.
Ask only the single question most likely to improve the queue. Let the user answer freely, then press for numbers, mechanisms, examples, or proof. Stop when further interviewing would not materially change the ranking.
If essential context is missing, return needs_intake with the next question and a recommended answer. A provisional slate may continue only when labeled.
Generate net-new candidates
Mine active work rather than recycling old videos. Cover at least five evidence-supported lanes:
- money created;
- money saved;
- productive capacity created;
- proof-led workflow demonstration;
- contrarian operating belief;
- timely prediction;
- founder lesson or corrected failure;
- teardown, comparison, or myth correction.
Reject any idea without a specific viewer, credible proof path, useful payoff, or filmable treatment.
Prefer success language. A failure may establish tension, but the video must resolve into a useful mechanism, result, or decision.
Write hooks that can be repaid
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.
- 13d ago First seen · 109 lines · 113 tokens per session scan A 03632fb0977c
shortform-idea-grill is a skill published in the GitHub repository ericosiu/ai-marketing-skills (3,521 stars, last pushed 4d ago), licensed MIT. It adds 113 tokens to every session and 983 once invoked, about $0.0006 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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