SEO Content Brief Generator
AgriciDaniel/claude-seo
Builds research-backed SEO content briefs with competitor scoring, per-section word counts and page-type templates, for new pages or improving existing ones.
SERP analysis techniques for intent classification, feature identification, and competitive intelligence.
Install Serp Analysis
$ npx skills add MadAppGang/claude-code --skill serp-analysis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install MadAppGang/claude-code serp-analysis --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/MadAppGang/claude-code.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/seo/skills/serp-analysis .claude/skills/serp-analysis && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "serp-analysis" agent skill from https://github.com/MadAppGang/claude-code/tree/main/plugins/seo/skills/serp-analysis into .claude/skills/serp-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "serp-analysis", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/MadAppGang/claude-code/tree/main/plugins/seo/skills/serp-analysisType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add MadAppGang/claude-code --skill serp-analysis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install MadAppGang/claude-code serp-analysis --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MadAppGang/claude-code.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/seo/skills/serp-analysis .agents/skills/serp-analysis && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "serp-analysis" agent skill from https://github.com/MadAppGang/claude-code/tree/main/plugins/seo/skills/serp-analysis into .agents/skills/serp-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "serp-analysis", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add MadAppGang/claude-code --skill serp-analysis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install MadAppGang/claude-code serp-analysis --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MadAppGang/claude-code.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/seo/skills/serp-analysis .cursor/skills/serp-analysis && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "serp-analysis" agent skill from https://github.com/MadAppGang/claude-code/tree/main/plugins/seo/skills/serp-analysis into .cursor/skills/serp-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "serp-analysis", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/MadAppGang/claude-code.git --path plugins/seo/skills/serp-analysis--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add MadAppGang/claude-code --skill serp-analysis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install MadAppGang/claude-code serp-analysis --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MadAppGang/claude-code.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/seo/skills/serp-analysis .gemini/skills/serp-analysis && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "serp-analysis" agent skill from https://github.com/MadAppGang/claude-code/tree/main/plugins/seo/skills/serp-analysis into .gemini/skills/serp-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "serp-analysis", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install MadAppGang/claude-code serp-analysisInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add MadAppGang/claude-code --skill serp-analysis -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/MadAppGang/claude-code.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/seo/skills/serp-analysis .github/skills/serp-analysis && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "serp-analysis" agent skill from https://github.com/MadAppGang/claude-code/tree/main/plugins/seo/skills/serp-analysis into .github/skills/serp-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "serp-analysis", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add MadAppGang/claude-code --skill serp-analysis -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install MadAppGang/claude-code serp-analysis --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MadAppGang/claude-code.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/seo/skills/serp-analysis .opencode/skills/serp-analysis && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "serp-analysis" agent skill from https://github.com/MadAppGang/claude-code/tree/main/plugins/seo/skills/serp-analysis into .opencode/skills/serp-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "serp-analysis", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
serp-analysis- GitHub stars
- 285
- Used in
- 1 other repo
- Token cost
- ~1k tokens
- SKILL.md length
- 317 words
- Files
- 1
- Skills in repo
- 69
- Repo updated
- First seen
- Licence
- MIT
At a glance
SERP analysis techniques for intent classification, feature identification, and competitive intelligence.
- Works in 4 steps: Search the keyword using WebSearch → Analyze result types → Check for mixed intent (common for broad… → …
- Analyzing search results for content strategy
- SKILL.md covers When to Use, Intent Classification, SERP Features and Competitive Analysis, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Serp Analysis is an agent skill from MadAppGang/claude-code. SERP analysis techniques for intent classification, feature identification, and competitive intelligence. Use when analyzing search results for content strategy.
Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Marketing & SEO, covering Keyword research, Competitor analysis and Content strategy. The repository describes itself as: claude code plugins marketplace. The licence is MIT.
When your agent uses it
- Analyzing search results for content strategy
- Tasks that involve Keyword research
- Tasks that involve Competitor analysis
Example prompts
- “/serp-analysis”
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- Search the keyword using WebSearch
- Analyze result types
- Check for mixed intent (common for broad keywords)
- Note confidence level (% of results supporting classification)
What it can do on your machine
Read from SKILL.md and the folder at commit 6097ad4. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Serp Analysis loads about 1k tokens when it runs. Until then it costs about 44 tokens; SKILL.md has 317 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from MadAppGang/claude-code at commit 6097ad4, republished under its MIT licence (© MadAppGang). 317 words, ~1,019 tokens.
Download SKILL.mdSave it as
.claude/skills/serp-analysis/SKILL.md (or your agent's skills folder).- name
- serp-analysis
- description
- SERP analysis techniques for intent classification, feature identification, and competitive intelligence. Use when analyzing search results for content strategy.
- plugin
- seo
- updated
- 2026-01-20
plugin: seo updated: 2026-01-20
SERP Analysis
When to Use
- Analyzing search results for a keyword
- Classifying search intent
- Identifying SERP feature opportunities
- Competitive intelligence gathering
Intent Classification
Intent Types
| Intent | SERP Signals | User Goal | Content Format |
|---|---|---|---|
| Informational | Wikipedia, knowledge panels, "what is" queries | Learn something | Guide, tutorial, explainer |
| Commercial | Reviews, comparisons, "best X" queries | Compare options | Comparison, listicle, review |
| Transactional | Product pages, shopping results, "buy X" | Purchase something | Product page, pricing |
| Navigational | Brand homepage, login pages | Find specific site | Homepage, login page |
Classification Process
- Search the keyword using WebSearch
- Analyze result types:
- All informational = Informational intent
- Mix of reviews/comparisons = Commercial intent
- Product pages dominant = Transactional intent
- Single brand dominant = Navigational intent
- Check for mixed intent (common for broad keywords)
- Note confidence level (% of results supporting classification)
SERP Features
Feature Identification
| Feature | How to Identify | Optimization Strategy |
|---|---|---|
| Featured Snippet | Box at top with answer | Direct answer in first 100 words |
| People Also Ask | Expandable question boxes | FAQ section, answer common questions |
| Image Pack | Row of images | High-quality images with alt text |
| Video Results | YouTube thumbnails | Create video content |
| Local Pack | Map with business listings | GMB optimization, location pages |
| Knowledge Panel | Right sidebar info box | Schema markup, Wikipedia presence |
| Sitelinks | Sub-links under main result | Clear site structure, internal linking |
Featured Snippet Types
| Type | Format | How to Optimize |
|---|---|---|
| Paragraph | Text block | 40-60 word direct answer |
| List | Numbered/bulleted list | Use ordered/unordered lists |
| Table | Data table | Use HTML tables |
| Video | YouTube embed | Create relevant video content |
Competitive Analysis
Competitor Data to Collect
For each top 10 result, note:
- Domain authority (relative, not exact)
- Content format (guide, listicle, comparison, etc.)
- Word count (approximate)
- Heading structure (H2 topics covered)
- Unique angle (what makes them different)
- Content gaps (what they miss)
Competitor Matrix Template
| Rank | Domain | Format | Words | Unique Angle | Gap |
|---|---|---|---|---|---|
| 1 | {domain} | {format} | {count} | {angle} | {gap} |
| 2 | {domain} | {format} | {count} | {angle} | {gap} |
| ... |
Output Format
## SERP Analysis: {keyword}
### Search Intent
- **Primary Intent**: {Informational | Commercial | Transactional | Navigational}
- **Confidence**: {percentage}%
- **Secondary Intent**: {if mixed}
### SERP Features Present
- [ ] Featured Snippet ({type})
- [ ] People Also Ask
- [ ] Image Pack
- [ ] Video Results
- [ ] Local Pack
- [ ] Knowledge Panel
- [ ] Sitelinks
### Competitor Analysis
| Rank | Domain | Format | Words | Unique Angle |
|------|--------|--------|-------|--------------|
| 1 | {domain} | {format} | {count} | {angle} |
...
### Content Gaps Identified
1. {gap} - {which competitors miss this}
2. {gap} - {which competitors miss this}
### Recommendations
1. **Content Format**: {recommended format based on SERP}
2. **Word Count**: {recommended based on competitors + 20%}
3. **Featured Snippet**: {opportunity and how to capture}
4. **Differentiator**: {unique angle to stand out}© MadAppGang, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in plugins/seo/skills/serp-analysis of MadAppGang/claude-code.
Open the folder on GitHubat commit 6097ad4
Used in 1 other repository
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in MadAppGang/claude-code, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Serp Analysis next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Serp Analysis this skillMadAppGang/claude-code | 285 | 1 repos | ~1k | Automated safety check: Pass | MIT | |
| SEO Content Brief GeneratorAgriciDaniel/claude-seo | 19k | 2 repos | ~2.6k | Automated safety check: Pass | MIT | |
| Strategic SEO PlanningAgriciDaniel/claude-seo | 19k | 5 repos | ~1.1k | Automated safety check: Pass | MIT | |
| Blog OutlineAgriciDaniel/claude-blog | 2.3k | 1 repos | ~1.5k | Automated safety check: Pass | MIT | |
| SEO Content Authorityzubair-trabzada/dataforseo-claude | 165 | — | ~1k | Automated safety check: Notes | MIT | |
| SEO Competitorrampstackco/claude-skills | 945 | — | ~1.8k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Serp Analysis
What does Serp Analysis do?
SERP analysis techniques for intent classification, feature identification, and competitive intelligence. Serp Analysis is an agent skill from MadAppGang/claude-code. SERP analysis techniques for intent classification, feature identification, and competitive intelligence.
When should I use Serp Analysis?
Serp Analysis fits situations like: analyzing search results for content strategy; tasks that involve Keyword research; tasks that involve Competitor analysis.
How do I install Serp Analysis in Claude Code?
Run `npx skills add MadAppGang/claude-code --skill serp-analysis -a claude-code`. Or copy the skill folder (plugins/seo/skills/serp-analysis in MadAppGang/claude-code) into .claude/skills/serp-analysis in your project. Claude Code loads it when a task matches its description.
How do I install Serp Analysis in Codex?
Run `npx skills add MadAppGang/claude-code --skill serp-analysis -a codex`. Or copy the skill folder (plugins/seo/skills/serp-analysis in MadAppGang/claude-code) into .agents/skills/serp-analysis in your project. Codex loads it when a task matches its description.
Can I use Serp Analysis in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add MadAppGang/claude-code --skill serp-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/serp-analysis, .gemini/skills/serp-analysis, .github/skills/serp-analysis and .opencode/skills/serp-analysis in your project.
What does Serp Analysis need to run?
SKILL.md names no scripts, command-line tools or credentials: Serp Analysis is instructions for the agent only.
Does Serp Analysis access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Serp Analysis safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Serp Analysis use?
Serp Analysis is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Serp Analysis use?
About 1k tokens (SKILL.md is roughly 4.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Serp Analysis?
Skills that share tags, products or a category with Serp Analysis: SEO Content Brief Generator (AgriciDaniel/claude-seo, 19k stars), Strategic SEO Planning (AgriciDaniel/claude-seo, 19k stars), Blog Outline (AgriciDaniel/claude-blog, 2.3k stars) and SEO Content Authority (zubair-trabzada/dataforseo-claude, 165 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Serp Analysis?
MadAppGang (a GitHub organization) maintains it in MadAppGang/claude-code, which has 285 GitHub stars. The repository holds 69 skills in this directory. The repository was last updated on March 15, 2026.
Source: MadAppGang/claude-code on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.