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-format-librarygit 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-format-library)<a href="https://agentmods.dev/skills/ericosiu/ai-marketing-skills/shortform-format-library"><img src="https://agentmods.dev/badge/skills/ericosiu/ai-marketing-skills/shortform-format-library/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-format-library"><img src="https://agentmods.dev/badge/skills/ericosiu/ai-marketing-skills/shortform-format-library.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 | $0.00056 | $0.01159 |
| Opus 5.5 | $0.00022 | $0.00464 |
| Sonnet 5.5 | $0.00011 | $0.00232 |
| Haiku 4.5 | $0.00006 | $0.00116 |
Grade A, and why
shortform-format-library 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 1mo 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 — 51 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Shortform Format Library
Help a creator move from an idea to a usable delivery structure. Keep source evidence, editorial interpretation, and the creator's own results distinct.
When running inside AI Marketing Skills, use the repository's optional version check and telemetry conventions in repository integration. Standalone use must work without that repository.
Choose the requested work
- Read the existing library, audience, creator roster, source policy, and supplied ideas or analytics before changing anything. Preserve the user's current page and saved outline IDs. Resolve the exact library and publishing destination from user context; do not substitute another account.
- For content spikes or discovery, read research and learning. Analyze supplied evidence before selecting candidates. If an attachment is absent, say so and continue independent work; never invent its contents.
- For ideas and format selection, use the default content table below, including a separate Watch reference column. Keep the idea source separate from the video demonstrating its format. A hook is proposed copy unless verified as an exact quotation. Keep new recordings separate from existing cutdowns and refresh angles. Score only when requested or required by the user's established workflow; label editorial scores as judgments.
- For a visual page, read page and data contract. Let users enter an idea or select a supplied one, compare two relevant format references, and turn the chosen structure into an editable three-prompt outline. Match by the available proof, story, recording effort, and audience, not trendiness alone.
- For editing or lead delivery, read production and delivery. Produce a renderer-neutral brief first; map only verified capabilities to a selected editor. Reuse
manychat-ig-lead-magnetwhen available for comment-to-access delivery. Its absence does not prevent drafting copy and a handoff. - Verify the changed artifact and report what changed, source coverage, evidence limits, and any missing input. Building a page does not refresh its sources or activate a background job.
What ships with it
9 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.
- agents/openai.yaml 288 B
- README.md 2.3 KB
- references/page-and-data.md 2.9 KB
- references/production-and-delivery.md 3.5 KB
- references/repository-integration.md 743 B
- references/research-and-learning.md 3.9 KB
- requirements.txt 38 B
- scripts/validate_library.py 4.7 KB runs code
- tests/test_validate_library.py 2.1 KB runs code
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.
- 1mo ago Changed · +13 lines 4d9dd921587b
- 2mo ago First seen · 38 lines · 56 tokens per session scan A 5921690b1c50
shortform-format-library is a skill published in the GitHub repository ericosiu/ai-marketing-skills (3,784 stars, last pushed 5d ago), licensed MIT. It adds 56 tokens to every session and 1,159 once invoked, about $0.0002 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 2026-09-07.
shortform-format-library compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| shortform-format-libraryericosiu/ai-marketing-skills | Skill | 3.8k | 5d ago | MIT | A | 56 | 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 |