30x-seo-content-brief

30x-seo-content-brief is a skill for Claude Code from norahe0304-art/30x-seo. It costs 54 tokens per session (1,125 once invoked), scanned A, original, MIT.

A content brief generator that studies the top ten search results for a target keyword. A content brief is a writing plan showing what to cover and where competing pages leave gaps.

In plain words
What is it for?
Use it to analyze ranking pages and produce a brief with required topics, search-result features, content patterns, and gap opportunities.
Why use it?
It reduces guesswork about search intent, suitable content format, common topics, depth, and opportunities to provide something competitors missed.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions CLAUDE.md.

Good fit Use it to analyze ranking pages and produce a brief with required topics, search-result features, content patterns, and gap opportunities.

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Install with agentmods
npx agentmods add skills/norahe0304-art/30x-seo/30x-seo-content-brief
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.

Any agent
npx skills add norahe0304-art/30x-seo --skill 30x-seo-content-brief
Clone the repo
git clone --depth 1 https://github.com/norahe0304-art/30x-seo

Made for: Claude Code.

Wrote 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.

agentmods badge for 30x-seo-content-brief

README.md
[![agentmods](https://agentmods.dev/badge/skills/norahe0304-art/30x-seo/30x-seo-content-brief/github.svg)](https://agentmods.dev/skills/norahe0304-art/30x-seo/30x-seo-content-brief)
Your own site
<a href="https://agentmods.dev/skills/norahe0304-art/30x-seo/30x-seo-content-brief"><img src="https://agentmods.dev/badge/skills/norahe0304-art/30x-seo/30x-seo-content-brief/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.

agentmods 80×15 button for 30x-seo-content-brief

Your own site · 80×15
<a href="https://agentmods.dev/skills/norahe0304-art/30x-seo/30x-seo-content-brief"><img src="https://agentmods.dev/badge/skills/norahe0304-art/30x-seo/30x-seo-content-brief.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 54 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,125 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00054 $0.01125
Opus 5 $0.00027 $0.00562
Sonnet 5 $0.00011 $0.00225
Haiku 4.5 $0.00005 $0.00112

Measured 13d ago against content hash e7b3eed7f830, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

30x-seo-content-brief 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 13d 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.

skills/30x-seo-content-brief/SKILL.md · 179 lines

How it starts

The opening of the file, as written. The whole thing — 179 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Content Brief Generator

SERP Analysis → Content Brief → Outrank Competition

Goal

Not rewriting competitors, but analyzing them to write better content.

Wrong Approach Right Approach
Rewrite Top 10 articles Analyze Top 10 intent
Copy content structure Find gaps (what they missed)
Merge competitor content Outperform (add original data/cases)

Workflow

Step 1: SERP Scraping

Input: Target keyword
↓
Scrape Top 10 results:
- Title
- URL
- Meta description
- Page content (H1, H2, H3 structure)
- Word count
- Content type (listicle, how-to, guide, comparison, etc.)

Step 2: Intent Analysis

Dimension Description
Search Intent Informational / Commercial / Transactional / Navigational
Content Format 90% are listicles? You should write a listicle too
Content Depth Average word count? Exceed the average
SERP Features Featured Snippet? PAA? Video?

Step 3: Topic Extraction

Extract common topics covered by Top 10:

Example keyword: "how to start a podcast"

Top 10 coverage:
✓ Equipment selection (10/10)
✓ Recording software (9/10)
✓ Hosting platforms (8/10)
✓ Cover design (7/10)
✓ Promotion strategy (6/10)

Rule: Topics covered by >50% = must include

Step 4: Gap Analysis

Find content competitors don't cover or cover poorly:

Gap opportunities:
- 2024 AI tool recommendations (only 2/10 mention)
- Monetization strategies (most skim over)
- Real cost breakdown (no specific numbers)
- Common failure reasons (few cover negative angle)

Rule: Gaps = your differentiation opportunity

Step 5: Brief Generation


Output Format: Content Brief

# Content Brief: [Target Keyword]

## Search Intent
[Informational/Commercial/etc.] - [One sentence describing what users want]

## Content Format
Recommended: [Listicle / How-to Guide / Comparison / etc.]
Reason: X/10 of Top 10 use this format

## Target Word Count
Minimum: [Top 10 average word count]
Recommended: [Average + 20%] to outperform competition

## Must-Have Topics

| Topic | Coverage | Suggested Depth |
|-------|----------|-----------------|
| [Topic 1] | 10/10 | Detailed |
| [Topic 2] | 9/10 | Detailed |
| [Topic 3] | 8/10 | Medium |

## Gap Opportunities (Differentiators)

| Gap | Why It's an Opportunity | Suggested Angle |
|-----|-------------------------|-----------------|
| [Gap 1] | Only 2/10 mention | [Specific suggestion] |
| [Gap 2] | Shallow coverage | [Specific suggestion] |

## Recommended H2 Structure

1. [H2 Title] - Covers [Topic]
2. [H2 Title] - Covers [Topic]
3. [H2 Title] - Gap opportunity: [Gap]
4. ...

## E-E-A-T Recommendations

- **Experience**: Add [specific suggestion, e.g., real case/screenshots]
- **Expertise**: Cite [data sources/expert opinions]
- **Original Value**: [What can you provide that competitors don't]

## SERP Feature Opportunities

- [ ] Featured Snippet: [Opportunity exists? Format suggestion]
- [ ] PAA: [Related questions list]
- [ ] Video: [Video needed?]

## Internal Link Suggestions

- Link to: [Related existing pages]
- Get links from: [Which pages should link to this article]

Read the full file on GitHub · 179 lines

Changes

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.

  1. 13d ago First seen · 179 lines · 54 tokens per session scan A e7b3eed7f830

Subscribe to this mod's changes

30x-seo-content-brief is a skill published in the GitHub repository norahe0304-art/30x-seo (51 stars, last pushed 6mo ago), licensed MIT. It adds 54 tokens to every session and 1,125 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.

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