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kai-cmo-harness

Skill Documents & Content Usable
Works inClaude Code
Usable Scanned — metadata only

Automates marketing campaign execution across SEO, email, and paid channels, reducing manual coordination overhead and enabling teams to scale campaign veloc…

Open-source AI CMO for Claude Code: marketing agent skills for SEO, content, email, ads, launches, CRO, AEO/GEO, and AI-search visibility.

39 starsMIT (commercial OK)FreeQuick setup
Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Automates marketing campaign execution across SEO, email, and paid channels, reducing manual coordination overhead and enabling teams to scale campaign velocity without proportional headcount increases.

Product marketing managers and growth teams running multi-channel campaigns with limited marketing operations support.

Claude Code Claude Cowork Claude Chat

https://github.com/cgallic/kai-cmo-harness

By cgallic

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
claude plugins install cgallic/kai-cmo-harness

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.

First thing to try

After installing, paste this into Claude:

Generate SEO-optimized blog post outlines with target keywords and meta descriptions
CostFree

Trust Signals Auto-scanned

Stars39Contributors4Last updated2026-07-25LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-07-25 · scanner v1

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 39 GitHub stars; 4 contributors; last commit 0d 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.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
3/5
Versatility
2/5
Reliability
4/5
Security
3/5
Overall score3.00 / 5.00 UsableEvaluatedJul 2026
Scored from trust signals (evidence-eval-v1): 39 GitHub stars; 4 contributors; last commit 0d ago; license MIT.

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