youtube-marketing-skills
Reduces time-to-insight for YouTube channel performance and content optimization by consolidating SEO, analytics, and publishing workflows without per-seat S…
Open-source agent-agnostic YouTube growth toolkit — 21 AI commands + live channel MCP. Works with Claude Code, Cursor, Codex, Windsurf, Gemini CLI & any MCP client. SEO, scripts, Shorts, thumbnails, analytics, WordPress publishing. Free VidIQ/TubeBuddy alternative.
- Ask Claude to analyze YouTube channel analytics and identify top-performing content topics for growth.
- Generate SEO-optimized video scripts and titles based on trending keywords in your niche.
- Automate thumbnail design recommendations and publishing workflows to WordPress blog posts.
Reduces time-to-insight for YouTube channel performance and content optimization by consolidating SEO, analytics, and publishing workflows without per-seat SaaS costs.
Content operations teams and growth analysts managing YouTube channels at scale who need programmatic access to analytics and publishing pipelines.
https://github.com/adityaarsharma/youtube-marketing-skills
By adityaarsharma
How to Get It
claude plugins install adityaarsharma/youtube-marketing-skills
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Analyze YouTube channel analytics and identify top-performing content topics for growth
Trust Signals Auto-scanned
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 29 GitHub stars; 2 contributors; last commit 72d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
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Evaluation
Scored from trust signals (evidence-eval-v1): 29 GitHub stars; 2 contributors; last commit 72d ago; license MIT.