datalocastle-r03-anthropics-skills-seo — Claude Code skill
A marketing skill package with automated workflows for keyword clustering, content cannibalization checks, and technical crawler audits directly inside agent sessions.
npx skills add reason-machines/marketing-skills --skill datalocastle-r03-anthropics-skills-seo -a claude-codeWhat datalocastle-r03-anthropics-skills-seo does
This package provides ten specialized search commands along with five step-by-step optimization workflows. It guides your coding agent through search intent evaluation, cannibalization audits, backlink discovery, and schema verification. Every routine delivers structured tables with status bars and itemized action plans.
Workflows run directly from terminal inputs and offer flexible flags for depth and file exports. The keyword module accepts Markdown, JSON, and CSV outputs. Meanwhile, crawl limits for domain diagnostics default to 10000 scanned documents.
Content reviews flag thin articles below a 100-word limit by default. Adjusting this threshold via command arguments prevents false alerts on short category notices.
What it helps with
- Cluster search terms by intent and traffic opportunity
- Identify keyword cannibalization across published blog posts
- Detect indexability barriers and missing schema definitions
- Outline structured content briefs for incoming editorial cycles
Example prompts for the agent
- /keyword-research "cloud hosting" --depth extensive --output json
- /content-audit --scope pages --filter "/docs/*" --min-words 250
- Run a technical crawl to verify schema tags and indexability status
How to install datalocastle-r03-anthropics-skills-seo
1Skills CLI (Vercel)
npx skills add reason-machines/marketing-skills --skill datalocastle-r03-anthropics-skills-seo -a claude-code2Manually: put the files in place
~/.claude/skills/datalocastle-r03-anthropics-skills-seo/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/datalocastle-r03-anthropics-skills-seo/
1Skills CLI (Vercel)
npx skills add reason-machines/marketing-skills --skill datalocastle-r03-anthropics-skills-seo -a codex2Manually: put the files in place
.agents/skills/datalocastle-r03-anthropics-skills-seo/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add reason-machines/marketing-skills --skill datalocastle-r03-anthropics-skills-seo -a cursor2Manually: put the files in place
.cursor/skills/datalocastle-r03-anthropics-skills-seo/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install reason-machines/marketing-skills datalocastle-r03-anthropics-skills-seo2Manually: put the files in place
.github/skills/datalocastle-r03-anthropics-skills-seo/SKILL.md1Skills CLI (Vercel)
npx skills add reason-machines/marketing-skills --skill datalocastle-r03-anthropics-skills-seo -a gemini-cli2Platform CLI
gemini skills install https://github.com/reason-machines/marketing-skills --path skills/datalocastle-r03-anthropics-skills-seoManually: put the files in place
.devin/skills/datalocastle-r03-anthropics-skills-seo/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add reason-machines/marketing-skills --skill datalocastle-r03-anthropics-skills-seo -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
Step by step, with commands for each platform: How to install skills in Claude Code: five ways
Questions about datalocastle-r03-anthropics-skills-seo
How do you install datalocastle-r03-anthropics-skills-seo in Claude Code?
Run npx skills add reason-machines/marketing-skills --skill datalocastle-r03-anthropics-skills-seo -a claude-code in your terminal. Next, register it inside your session via ~/.claude/skills/datalocastle-r03-anthropics-skills-seo/SKILL.md.
What does datalocastle-r03-anthropics-skills-seo do?
It equips the agent with commands and workflows for keyword clustering, crawl diagnostics, schema checks, and content planning.
What export formats are supported for keyword research?
The keyword research tool outputs structured data into md, json, or csv depending on the --output flag.