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 Ootto-AI/claude-content-skills --skill content-pillar-buildergit clone --depth 1 https://github.com/Ootto-AI/claude-content-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/ootto-ai/claude-content-skills/content-pillar-builder)<a href="https://agentmods.dev/skills/ootto-ai/claude-content-skills/content-pillar-builder"><img src="https://agentmods.dev/badge/skills/ootto-ai/claude-content-skills/content-pillar-builder/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/ootto-ai/claude-content-skills/content-pillar-builder"><img src="https://agentmods.dev/badge/skills/ootto-ai/claude-content-skills/content-pillar-builder.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 | $0.00053 | $0.00478 |
| Opus 5 | $0.00026 | $0.00239 |
| Sonnet 5 | $0.00011 | $0.00096 |
| Haiku 4.5 | $0.00005 | $0.00048 |
Grade A, and why
content-pillar-builder 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 12d 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.
What it actually says
Content Pillar Builder — the 3-5 themes everything ladders up to
Defines the 3-5 themes your account posts against, so every reel ladders up to a clear position.
When to use
Your feed feels random and you can't say what the account is about.
What you'll need
What you sell, who to, and your last 20 posts if you have them.
Instructions
Give Claude the input and run this.
You are my brand strategist. Business: [WHAT]. Audience: [WHO]. Recent posts: [paste if available].
1. PILLARS: 3-5, no more. Each a THEME with a point of view, not a topic bucket.
2. WHY EACH EARNS ITS PLACE: the audience need it serves and the business job it does.
3. ROTATION: how often each appears in a week.
4. THE POSITION: in one sentence, what someone would say I'm about after scrolling ten posts.
5. OUT OF SCOPE: what does NOT fit. This is the part that keeps an account coherent.
6. AUDIT: if I gave you recent posts, sort them into pillars and show me what's over- and under-served.
If more than five pillars fit, the framework is too loose — force it down.
Honesty: Six pillars is no pillars. If everything fits, the framework isn't doing any work.
Next: content-calendar → series-planner
Built by Ootto — the AI autopilot that connects your tools once and runs the busywork for you, automatically. Book a demo →
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.
- 12d ago First seen · 49 lines · 53 tokens per session scan A fed2ae9f1581
content-pillar-builder is a skill published in the GitHub repository Ootto-AI/claude-content-skills (30 stars, last pushed 19d ago), licensed MIT. It adds 53 tokens to every session and 478 once invoked, about $0.0003 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.
Other skills, from other repositories
scrapecreators-api
Scrape and extract public data from 27+ social media platforms using the ScrapeCreators REST API. Covers TikTok, Instagram, YouTube, LinkedIn, Facebook, Twitter/X, Reddit, Threads, Bluesky, Pinterest, Snapchat, Twitch, Kick, Truth Social, TikTok Shop, Google, and link-in-bio services (Linktree, Komi, Pillar, Linkbio…
outlier-post-finder
Use when the user wants to find posts, videos, reels, shorts, tweets, or social content that overperformed versus a creator, brand, or competitor baseline. Finds outliers, explains why they worked, extracts hooks and formats, and produces a practical swipe file.
competitor-social-research
Use when the user wants to research competitors' social media strategy, compare brands or creators, find what content is working in a niche, identify content gaps, or produce a practical social strategy brief from public social data.
ad-library-teardown
Use when the user wants to analyze active ads from Meta/Facebook, Google, or LinkedIn ad libraries; tear down a competitor's messaging; extract hooks, offers, CTAs, video transcripts, landing page claims, and test ideas from public ads.
comment-mining
Use when the user wants to mine comments and replies for audience reactions, customer language, questions, objections, complaints, product ideas, buying intent, sentiment, or voice-of-customer insights from public social posts and videos.
transcript-intelligence
Use when the user wants to summarize, analyze, or repurpose transcripts from TikTok, Instagram, YouTube, Facebook, X/Twitter, LinkedIn, Rumble, or Reddit video posts. Extracts hooks, claims, quotes, content atoms, themes, and reusable scripts.