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 h4vzz/awesome-ai-agent-skills --skill content-strategygit clone --depth 1 https://github.com/h4vzz/awesome-ai-agent-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/h4vzz/awesome-ai-agent-skills/content-strategy)<a href="https://agentmods.dev/skills/h4vzz/awesome-ai-agent-skills/content-strategy"><img src="https://agentmods.dev/badge/skills/h4vzz/awesome-ai-agent-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/h4vzz/awesome-ai-agent-skills/content-strategy"><img src="https://agentmods.dev/badge/skills/h4vzz/awesome-ai-agent-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 | $0.00030 | $0.02027 |
| Opus 5.5 | $0.00012 | $0.00811 |
| Sonnet 5.5 | $0.00006 | $0.00405 |
| Haiku 4.5 | $0.00003 | $0.00203 |
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 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.
This is a copy
95% identical to content-strategy — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Content Strategy
This skill enables an AI agent to build a comprehensive content strategy from the ground up or audit and improve an existing one. The agent defines content pillars aligned to business objectives, maps content types to funnel stages (TOFU/MOFU/BOFU), creates editorial calendars, and establishes a measurement framework. The output is a repeatable system for producing, distributing, and optimizing content that drives traffic, engagement, and conversions.
Workflow
-
Audit existing content and define goals. Inventory all current content assets — blog posts, landing pages, case studies, videos, whitepapers — with their publication dates, traffic, and conversion metrics. Identify top performers, underperformers, and content gaps. Align the strategy to 2–3 measurable goals such as "increase organic traffic 40% in 6 months" or "generate 200 MQLs per month from content."
-
Research the target audience and build personas. Define 2–4 buyer personas with demographics, job roles, pain points, content consumption habits, and preferred channels. Map each persona to their buyer journey stages: awareness (problem recognition), consideration (evaluating solutions), and decision (selecting a vendor). This determines what content types each persona needs at each stage.
-
Establish content pillars and topic clusters. Define 3–5 content pillars — broad themes that align with the product's value proposition and audience needs. Under each pillar, plan a cluster of 8–15 supporting pieces that link back to a comprehensive pillar page. This structure builds topical authority for SEO and creates a logical content architecture.
-
Build the editorial calendar. Plan content production on a rolling 3-month horizon. For each piece, specify the topic, target keyword, content format (blog, video, infographic, podcast), funnel stage, assigned persona, distribution channels, author, and publish date. Balance content across pillars and funnel stages — roughly 60% TOFU, 30% MOFU, and 10% BOFU.
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 First seen · 91 lines · 30 tokens per session scan A 9ab7eea0332a
content-strategy is a skill published in the GitHub repository h4vzz/awesome-ai-agent-skills (36 stars, last pushed 22d ago), licensed MIT. It adds 30 tokens to every session and 2,027 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 95% identical to content-strategy, differing in 2 lines, and is treated as a copy.
Other skills, from other repositories
jira-cli
Interact with Jira from the command line to create, list, view, edit, and transition issues, manage sprints and epics, and perform common Jira workflows. Use when the user asks about Jira tasks, tickets, issues, sprints, or needs to manage project work items.
azure-prices
Look up and compare Azure service pricing using the Azure Retail Prices API. Use this skill whenever the user asks about Azure costs, pricing, rates, or wants to compare prices across regions or services — even if they don't say "pricing" explicitly. Trigger for questions like "how much does a D2 v2 VM cost?"…
calculator
Performs arbitrary-precision arithmetic calculations including addition, subtraction, multiplication, division, and exponents. Use when the user asks to calculate, compute, or evaluate math expressions, or when precise decimal arithmetic is needed to avoid floating-point errors.
az-cli
Use the Azure CLI (az) to manage Azure resources from the command line. Trigger this skill whenever the user asks to create, configure, manage, deploy, or interact with any Azure resource — even if they don't explicitly mention "az cli". Also trigger when the user asks about Azure CLI commands, syntax, or wants to…
x-twitter-source-evidence
Use this skill when a task needs grounded X/Twitter context before analysis, documentation, product research, support triage, or content planning.
Calculator
Perform precise arithmetic and unit conversions.