Marketing Skills is an open-source library of reusable workflows that helps AI coding agents perform marketing and SEO tasks. It serves people working on search optimization, content, advertising, launches, analytics, and related marketing activities, and its catalogue entries are the individual skills agents can install.
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 kostja94/marketing-skills --skill headinggit clone --depth 1 https://github.com/kostja94/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/kostja94/marketing-skills/heading)<a href="https://agentmods.dev/skills/kostja94/marketing-skills/heading"><img src="https://agentmods.dev/badge/skills/kostja94/marketing-skills/heading/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/kostja94/marketing-skills/heading"><img src="https://agentmods.dev/badge/skills/kostja94/marketing-skills/heading.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 | $0.00057 | $0.00830 |
| Opus 5.5 | $0.00023 | $0.00332 |
| Sonnet 5.5 | $0.00011 | $0.00166 |
| Haiku 4.5 | $0.00006 | $0.00083 |
Grade A, and why
heading-structure 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 22d 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.
Copies of this mod
3 near-identical copies found in the catalogue:
- heading-structure — 100% identical, 26 lines differ
- heading-structure — 100% identical, 26 lines differ
- heading-structure — 100% identical, 26 lines differ
How it starts
The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SEO On-Page: Heading Structure
Guides heading (H1-H6) optimization for SEO and content structure.
When invoking: On first use, if helpful, open with 1-2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.
Scope (On-Page SEO)
- H1 tag: Clear visible page headline that confirms the user's task and value
- Header tags (H1-H6): Logical content hierarchy and one coherent section per heading
Initial Assessment
Project context: Read root contextus.md when present and load only the modules relevant to this task. Without Contextus, use available project material or user-provided facts and ask for missing information; do not create a parallel context system.
Identify:
- Page type: Homepage, article, product, etc.
- Primary keyword: Target search query
- Content outline: Main sections and subsections
Best Practices
H1
| Principle | Guideline |
|---|---|
| Primary page heading | Prefer one clear H1 that identifies the page; audit accessibility and template semantics before treating an extra H1 as a ranking emergency |
| Search language | Include the primary concept naturally when useful; do not force exact-match phrasing |
| Descriptive | Clearly describe page content |
| Match intent | Serve the same page intent and promise as the title tag without requiring identical wording |
H2-H6 Hierarchy
| Principle | Guideline |
|---|---|
| Logical order | Use heading levels to express document structure; do not choose a level for visual size alone |
| One idea per heading | Each heading = one topic |
| Scannable | Headings should summarize section content |
| Keyword variation | Use related keywords in subheadings |
Structure
H1 (page title)
-> H2 (section 1)
-> H3 (subsection)
-> H3
-> H2 (section 2)
-> H3
-> H2 (section 3)
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.
- 22d ago Changed · -26 tokens per session 54067ad47f89
- 1mo ago Changed 56225886fb37
- 1mo ago First seen · 85 lines · 83 tokens per session scan A d41eb49853a1
heading-structure is a skill published in the GitHub repository kostja94/marketing-skills (1,065 stars, last pushed yesterday), licensed MIT. It adds 57 tokens to every session and 830 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 2026-09-03.
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