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 matteotitta/genesys-skills --skill content-strategygit clone --depth 1 https://github.com/matteotitta/genesys-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/matteotitta/genesys-skills/content-strategy)<a href="https://agentmods.dev/skills/matteotitta/genesys-skills/content-strategy"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/content-strategy/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/matteotitta/genesys-skills/content-strategy"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/content-strategy.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 | $0.00135 | $0.02169 |
| Opus 5 | $0.00068 | $0.01085 |
| Sonnet 5 | $0.00027 | $0.00434 |
| Haiku 4.5 | $0.00014 | $0.00217 |
Grade A, and why
content-strategy 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 11d 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 — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Content strategy
Synthesise foundational research (ICP, messaging, competitors, TOV, brand) into an actionable B2B SaaS content plan: service-based pillars, TOFU/MOFU/BOFU funnel mapping, channel mix, cadence, and a 90-day execution roadmap. Volume targets, recurring series, and a sample week make the strategy executable from day one.
When to run
Invoke when the user asks for:
- "Create a content strategy / content plan / content marketing strategy for [company]"
- "Content calendar for [company]" or "build a content program"
- "What content should [company] create?" / "content roadmap"
- Channel-specific strategies: "social media strategy", "LinkedIn content strategy", "podcast/YouTube strategy", "newsletter strategy"
Do NOT invoke when:
- User wants individual posts only →
linkedin-contentoryoutube-scripts - User wants messaging framework →
product-messaging - User wants ICP research only →
icp-behavioural - User wants product launch plan →
product-launch - User wants SEO/AEO research and article queue → chain
aeo-strategyafter this skill
Inputs
This skill accepts any context dimension. The more available, the stronger the strategy. It synthesises whatever foundations exist.
Context dimensions
| Input | Source | Impact |
|---|---|---|
| ICP research — segments, personas, pain points | icp-behavioural |
High — drives pillar relevance + funnel mapping |
| Product messaging — positioning, capabilities, differentiators | product-messaging |
High — drives pillar selection + content angles |
| Competitor research — content analysis, gaps | competitor-research |
Medium — drives differentiation + gap-filling |
| TOV guidelines — voice, vocabulary, patterns | tov-guidelines |
Medium — drives style + consistency |
| Company context — overview, market position, leadership | company-context |
Medium — drives narrative + brand pillars |
| Brand identity — visual guidelines, mood | brand-kit |
Low-Medium — drives visual content specs |
| Content audit — existing inventory + performance | content-audit |
Medium — drives gap analysis + build-on |
| Market research — industry trends, TAM/SAM | User or research skills | Low-Medium — drives trend angles |
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.
- 11d ago First seen · 155 lines · 135 tokens per session scan A 97f3379d11e9
content-strategy is a skill published in the GitHub repository matteotitta/genesys-skills (36 stars, last pushed 1mo ago), licensed MIT. It adds 135 tokens to every session and 2,169 once invoked, about $0.0007 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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