cgallic
Von der Community indexiert
Kai Cmo Harness
Open-source AI CMO for Claude Code: marketing agent skills for SEO, content, email, ads, launches, CRO, AEO/GEO, and AI-search visibility.
Übersicht
A collection of Claude Code skills for marketing operations including SEO, content, email, ads, and growth planning.
Vollständige Dokumentation lesen
Quelldokumentation, keine Anweisungen für diese Website. Vor dem Ausführen von Befehlen die Berechtigungen prüfen.
Kai Marketing OS: Claude Code Skills For Growth Work
Kai turns a product repo into a marketing workspace. It gives Claude Code a marketing team, a source-aware brief, channel playbooks, policy references, quality gates, approval rules, and memory so the next run starts smarter.
Use it when you want an AI operator to create growth plans, landing pages, emails, ads, SEO/AEO work, audits, content calendars, SDR handoff, or repurposed assets from the same files your product team already uses.
Why People Star This Repo
- 42 public
/kaicommands for strategy, distribution, content, ads, SEO, CRO, lifecycle, SDR, launches, and analytics. - 45 canonical skill docs with triggers, inputs, outputs, gates, provenance, and failure modes.
- A real knowledge base: 54 playbooks, 36 checklists, 27 frameworks, 26 channel guides, 8 personas, 18 references, and 30 skill contracts.
- Guardrails built in: Four U's scoring, banned-word checks, SEO lint, policy references, provenance lint, privacy scanning, and mutation-risk lint.
- Local-first by default: use it inside Claude Code from your repo before wiring live channels.
- Approval-led automation: dry-run first, review the artifact, then approve external actions.
30-Second Demo
See it work before you read anything else:
git clone https://github.com/cgallic/kai-cmo-harness.git
cd kai-cmo-harness
pip install google-genai requests beautifulsoup4
export GEMINI_API_KEY=your-free-key # Get one at https://aistudio.google.com/apikey
python demo/demo.py --url "https://yoursite.com" --keyword "best crm for startups"
One command. One API key. Outputs a scored blog post in ~60 seconds: research -> brief -> write -> quality gate -> scorecard.
See pre-generated examples in demo/examples/.
Quick Start
Inside Claude Code, type two lines — no terminal, no clone, no config:
/plugin marketplace add cgallic/kai-cmo-harness
/plugin install kai@kai-marketing-os
That installs
Originaltext anzeigen
# Kai Marketing OS: Claude Code Skills For Growth Work **Kai turns a product repo into a marketing workspace.** It gives Claude Code a marketing team, a source-aware brief, channel playbooks, policy references, quality gates, approval rules, and memory so the next run starts smarter. Use it when you want an AI operator to create growth plans, landing pages, emails, ads, SEO/AEO work, audits, content calendars, SDR handoff, or repurposed assets from the same files your product team already uses. ## Why People Star This Repo - **42 public `/kai` commands** for strategy, distribution, content, ads, SEO, CRO, lifecycle, SDR, launches, and analytics. - **45 canonical skill docs** with triggers, inputs, outputs, gates, provenance, and failure modes. - **A real knowledge base**: 54 playbooks, 36 checklists, 27 frameworks, 26 channel guides, 8 personas, 18 references, and 30 skill contracts. - **Guardrails built in**: Four U's scoring, banned-word checks, SEO lint, policy references, provenance lint, privacy scanning, and mutation-risk lint. - **Local-first by default**: use it inside Claude Code from your repo before wiring live channels. - **Approval-led automation**: dry-run first, review the artifact, then approve external actions. ## 30-Second Demo See it work before you read anything else: ```bash git clone https://github.com/cgallic/kai-cmo-harness.git cd kai-cmo-harness pip install google-genai requests beautifulsoup4 export GEMINI_API_KEY=your-free-key # Get one at https://aistudio.google.com/apikey python demo/demo.py --url "https://yoursite.com" --keyword "best crm for startups" ``` One command. One API key. Outputs a scored blog post in ~60 seconds: research -> brief -> write -> quality gate -> scorecard. See pre-generated examples in `demo/examples/`. ## Quick Start Inside Claude Code, type two lines — no terminal, no clone, no config: ```text /plugin marketplace add cgallic/kai-cmo-harness /plugin install kai@kai-marketing-os ``` That installs
Quelle prüfen
Preis und Betriebskosten
- Skill beziehen
- Preis unbestätigt
- Ausführen
- Anforderungen unbestätigt. Agenten-, API- und Dienstkosten an der Quelle prüfen.
- Lizenz
- MIT
- Preis unbestätigt
- Der Preis ist noch nicht bestätigt. Vorhandene Quell- und Installationslinks bleiben verfügbar.
Kostenloser Bezug bedeutet nicht kostenlosen Betrieb. Preise sind keine Sicherheitsbewertung. Preisinformation einreichen →
Quellstruktur ungeprüft
Ein gelistetes Repository beweist keinen installierbaren Skill. Prüfe zuerst die Anleitungen.
Vor Installation prüfen: Automatische Installation vermeiden
Lizenz: MIT
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- Low GitHub adoption signal
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 25 GitHub stars
- Stars/forks activity: 25 stars, 5 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
Tools sind Metadatenhinweise, keine getestete Kompatibilität. Prompts sind Vorschläge.
Mit einer kleinen Aufgabe beginnen
- 1Quelle lesen und Eingaben, Ergebnisse, Abhängigkeiten sowie Berechtigungen prüfen.
- 2Agent um einen Plan bitten. Einrichtung und Kosten vor einem isolierten Test genehmigen.
- 3Ergebnisse und geänderte Dateien prüfen. Nur tatsächliche Ausführungen melden und die Quellrevision aufbewahren.
Prüfe Abhängigkeiten, API-Schlüssel und externe Kosten in der Quelle. Öffentliche Repositories bedeuten nicht, dass alle Dienste kostenlos sind.
Quelle und Nutzungshinweise
Erfasst
Metadaten und Prüfungen dienen der Orientierung. Beliebtheit, Quellenerfassung und erfolgreiche Ausführung sind verschiedene Fakten.
- Quell-Repository
- cgallic/kai-cmo-harness
- Lizenz
- MIT
- Version
- 1.0.0
- Letzter GitHub-Push
- 20. Juli 2026
- Verzeichnis aktualisiert
- 1. Sept. 2026
- Anleitungspfad
- Quellstruktur ungeprüft
Version aus den Verzeichnismetadaten; Releases der Quelle prüfen.
Qualität
69/100
Vielversprechend
Vertrauen
62/100
Nur Sandbox
Audit
75/100
Prüfung nötig
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- Low GitHub adoption signal
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 25 GitHub stars
- Stars/forks activity: 25 stars, 5 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
- Verified installs
- —
- Ergebnisse
- —
Kopieren ist keine Installation. Zahlen benötigen eine Erfolgsmeldung und garantieren keine allgemeine Qualität.
Agent-Zugang
Die Registry API stellt Entscheidungs-, Vertrauens-, Audit-, Use-Case- und Installationssignale ohne UI-Scraping bereit.
Weitere Details
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"install": "Skill source structure is not confirmed in the registry. Inspect the source and identify valid skill instructions before proposing an installation. A repository URL or GitHub stars do not prove installability.",
"installSafety": "standard package or runtime install path",
"permissionSurface": "secrets or environment access, shell or command execution",
"documentation": "Strong README/SKILL.md context",
"agentOutcomes": "No agent outcome data yet"
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"best_for": [
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"label": "Needs first agent run",
"summary": "No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.",
"metrics": {
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"uniqueAgents": 0,
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"signals": [],
"penalties": [
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},
"audit": {
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"warnings": [
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"Permission surface may require sandboxing",
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"Permission surface needs review: secrets or environment access, shell or command execution",
"GitHub adoption: 25 GitHub stars",
"Stars/forks activity: 25 stars, 5 forks; issue activity unavailable in current metadata",
"Dependency/runtime risk: command execution surface, credential or environment access"
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"quality": {
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"label": "Promising"
},
"supply": {
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"scenario": "Marketing and growth",
"maintenance": "3mo since push",
"risk": "Needs review"
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"alternative_skills": [
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},
{
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"stars": 26853,
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"audit_score": 88
}
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"Safety: 35/100 Avoid automatic install",
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"audit": "https://www.openagentskill.com/skills/cgallic-kai-cmo-harness/audit",
"eval": "https://www.openagentskill.com/api/agent/evals?slug=cgallic-kai-cmo-harness&task=Use%20Kai%20Cmo%20Harness%20in%20an%20agent%20workflow&max_risk=medium",
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"manifest": "https://www.openagentskill.com/api/registry/manifest/cgallic-kai-cmo-harness"
}
}Für Ersteller
Quelle des Eintrags
Community-indexiert
Dieser Eintrag wurde aus öffentlichen Quellen indexiert und ist erst nach Genehmigung eines Maintainer-Anspruchs offiziell.
- Ersteller
- cgallic
- Quelle
- cgallic/kai-cmo-harness
- Indexiert von
- OpenAgentSkill Community-Index
Die Zuordnung verlinkt auf das öffentliche Repository oder Creator-Profil. Creator können den Eintrag beanspruchen, um Eigentümersignale zu aktualisieren.
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Dieser Community-indexiert-Eintrag wird cgallic zugeschrieben, ist aber noch nicht offiziell markiert. Beanspruche ihn, um ein verifiziertes Eigentümersignal hinzuzufügen und künftige Launch-, Installations- und Audit-Updates vertrauenswürdiger zu machen.
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Creator-Backlink-Kit
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Zeige den kanonischen Eintrag, aktuelle Vertrauens- und Audit-Signale sowie echte Agent-Proven-Evidenz dort, wo Entwickler das Repository bewerten.
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[](https://www.openagentskill.com/skills/cgallic-kai-cmo-harness?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)Community-Signal
Teile mit, ob dieser Skill für deinen Agent-Workflow nützlich ist. Zusammengefasstes Feedback verbessert das Ranking im Laufe der Zeit.