Kai Marketing OS — Marketing, From The Repo

Kai Marketing OS is a repo-native marketing runtime for Claude Code. It turns a product repository into a marketing workspace with briefs, playbooks, skill contracts, platform policy references, quality gates, and reusable marketing memory.

If you searched for AI marketing agent, Claude Code marketing skills, AI CMO, repo-native marketing OS, marketing automation for startups, SEO content agent, GEO / AEO agent, LLM citation strategy, or AI growth marketing assistant, this is the repo you wanted.

Related links

• MeetKai — the operator layer behind Kai Marketing OS workflows.
• KaiCalls — a Kai-owned AI voice agent product for small-business phone answering and lead capture when the business is phone-led.
• Connor Gallic — founder building Kai, KaiCalls, and AI automation systems.
• How Kai runs paid ads — plain-English explanation of the paid media workflow.
• System guide — architecture pages, Mermaid diagrams, and runtime schemas.
• Public skill manifest — versioned API-style docs for every canonical kai-* skill.

Start here

Kai is for people who need marketing work done from the repo, not from a blank chat window.

You are	What Kai helps with	Start with
Business owner	Turn "we need more customers" into a clear plan, campaigns, pages, emails, and follow-up work	/kai-growth-plan
Marketing operator	Produce briefs, ads, content, landing pages, email systems, audits, and quality reports from one workspace	/kai
Developer	Give an AI agent structured product context, policy checks, files, workflows, and repeatable commands	README.md + harness/skills/
Agency or consultant	Install a reusable marketing operating system inside client repos	docs/QUICK_START.md

The simplest way to understand Kai: it reads the business, chooses the right marketing workflow, creates the work, checks it, and leaves a record so the next run is smarter.

3-minute demo loop

Run this in a product repo when you want to see the core workflow:

/kai-start
/kai-growth-plan

The first command creates or refreshes MARKETING.md from the repo. The second command turns that context into a stage-specific growth plan, skill routing, metrics, budget notes, and anti-patterns. See workspace/growth-plan for a sample output generated from this repo.

What Kai is

Kai is a repo-native marketing operating system that runs inside Claude Code.

It uses Claude Code's operator experience — skills, subagents, hooks, memory, and terminal-native workflows — and adds marketing-specific infrastructure:

• Business profiling with archetype detection and overlay inference
• Audit engines that score businesses across 8 categories with real algorithms
• Proposal ranking with 5-factor weighted scoring, dependency resolution, and capacity pruning
• Approval workflows with risk-based auto-approval and state machine enforcement
• Compliance checking with 100+ rules and regex pattern matching
• Quality gates: Four U's scoring, banned-word detection, SEO linting, proof density, and AI-slop checks
• Current inventory: 39 skill directories, 37 canonical kai-* skill docs, 33 public /kai router commands, 48 playbook docs, 32 checklists, 27 framework docs, 17 channel guides, 8 audience persona profiles, 18 harness references, and 15 skill contracts
• Claude Code marketing skills for content, ads, lifecycle, SEO, GEO/AEO, audits, launches, and growth planning

It is built for founders, indie hackers, SaaS teams, agencies, and product engineers who want Claude Code to help with actual growth work instead of generic copy generation.

What this is not

Kai is not a prompt pack, a standalone chatbot, or a content spinner. It is a local operating surface for marketing work that needs source context, policy checks, quality gates, and repeatable workflows.

Current status (v1.0.0, April 2026)

Layer	Status	Notes
Runtime models + persistence	Built	Atomic writes, thread-safe, audit log
Audit engines (8 categories)	Built	Real scoring algorithms, 239 tests passing
Proposal ranking + bundling	Built	5-factor weighted, dependency-aware
Approval + action lifecycle	Built	State machine enforced, tested
Compliance engine	Built	100+ rules, 50+ regex patterns
Content pipeline + quality gates	Built	LLM-backed via scripts/content/engine.py
Knowledge base	Built	Current inventory is documented in docs/system/governance-and-quality.md
Connector business logic	Partial	Request construction complete, HTTP transport not wired
Creative module	Partial	Generates briefs/templates, not final content
Watchers/monitoring	Partial	Threshold logic real, data feeds not connected
Agent loop / subagent orchestration	Planned	Scaffolding only
Remote automation scheduling	Planned	Defined in module manifests, not triggered

For the full assessment, see docs/superpowers/specs/2026-04-03-system-current-state-report.md.

Install

Option 1 — One-liner:

curl -fsSL https://raw.githubusercontent.com/cgallic/kai-cmo-harness/main/install.sh | bash

Option 2 — Manual:

git clone https://github.com/cgallic/kai-cmo-harness.git /tmp/kai-install \
  && cp -r /tmp/kai-install/harness/skills/kai* ~/.claude/skills/ \
  && rm -rf /tmp/kai-install \
  && echo "Installed. Type /kai-start in Claude Code."

First run: open Claude Code in any product repo and type /kai-start for guided setup. It reads your codebase, creates MARKETING.md, and recommends your first command.

Or type /kai to see the 33 public router commands. The broader public skill manifest documents all 37 canonical harness/skills/kai-* skill directories, including newer and specialist skills that are not all listed in the router table.

Why this exists

Most AI marketing tools are either:

1. a blank chat box,
2. a narrow content generator, or
3. a dashboard that cannot understand your product repo.

Kai does the opposite. It runs where your product already lives — the terminal — and gives Claude Code a structured marketing operating system: command routing, strategy documents, platform policies, channel playbooks, QA gates, approval workflows, runtime models, and repeatable growth workflows.

Product shape

Kai Runtime

The Claude Code-style product shell:

• workspace profile
• brand memory
• module activation
• local runs
• remote runs

Kai Marketing OS

The marketing-specific operating system:

• quality gates
• archetype-specific workflows
• campaign and content orchestration
• approvals
• learning loop

Quick examples

Need	Command	Output
"What should I do for marketing?"	/kai-growth-plan	Stage-specific growth plan with what to do and what to ignore
"Write a landing page"	/kai-landing-page	Hero, value props, objections, proof, CTAs, and page structure
"Create my ad campaign"	/kai-ad-campaign	Paid campaign with funnel stages, variants, and platform constraints
"Write all my product emails"	/kai-email-system	Welcome, activation, onboarding, trial, retention, and win-back emails
"Plan a month of content"	/kai-content-calendar	Keyword- and persona-mapped content calendar
"Audit my marketing"	/kai-audit	Prioritized marketing health report
"Improve AI-search visibility"	/kai-surround-sound	Agent-readiness, source-quality, and AI-search visibility strategy
"Turn this blog into social posts"	/kai-repurpose	15–25 assets for LinkedIn, X, TikTok, Instagram, email, and YouTube

How it works

The first time you run a /kai command in a project, Kai:

1. Reads your codebase — CLAUDE.md, README.md, package files, routes, schemas, product docs, and existing marketing notes.
2. Builds a runtime profile — workspace, brand, archetype/module defaults, proof points, channels, and operating constraints.
3. Creates MARKETING.md as a readable export — ICP, personas, brand voice, positioning, value props, landscape, and operating defaults.
4. Runs the workflow — writes, audits, plans, scores, researches, routes approvals, and packages the requested marketing asset.

Every later command should run from the same workspace/brand/module model. MARKETING.md remains useful for humans, while the runtime contract lives in code.

Architecture

Kai Marketing OS
  -> outcome engine, quality gate, approvals, archetype modules

Kai Runtime
  -> skills, subagents, hooks, memory, plugins, local/remote runs

Implementation
  -> scripts/content, scripts/quality, gateway, agent, knowledge

The canonical runtime models live in kai/runtime/.

33 public router commands, 37 canonical skills

These commands work through Claude Code's skill system. They load knowledge files and framework instructions for the LLM. They do not invoke the kai/ Python runtime directly.

The table below reflects the /kai router surface. The complete canonical skill inventory lives in the public skill manifest, which includes all 37 harness/skills/kai-* directories.

Produce marketing assets

Command	What you get
/kai-write	One piece of content: blog, email, LinkedIn post, ad, press release, script, or landing copy
/kai-landing-page	Complete conversion-focused landing page copy
/kai-email-system	Full lifecycle and transactional email system
/kai-ad-campaign	Paid campaign across major ad platforms
/kai-content-calendar	Month or quarter of planned content mapped to keywords and personas
/kai-social	Batch social posts across LinkedIn, X, TikTok, Instagram, and YouTube
/kai-video	Video scripts and clipping plans for short-form and long-form video
/kai-cold-outreach	Cold email sequences and outbound messaging
/kai-reddit-listen	Monitor subreddits and draft profile-driven replies to Discord
/kai-newsletter	Newsletter editions, subject lines, and structure
/kai-case-study	Customer case study from interview notes or product data
/kai-product-maker	Ship a Gumroad-ready digital product: ebook, card deck, flipbook, or guide
/kai-repurpose	One source asset turned into 15–25 channel-native pieces
/kai-launch	Product launch system: emails, ads, PR, social, content, and timeline
/kai-retarget	Retargeting and remarketing campaign plan
/kai-influencer	Creator and influencer marketing campaign
/kai-webinar	Webinar or event marketing plan and follow-up
/kai-podcast	Podcast launch or guest strategy
/kai-abm	Account-based marketing for enterprise sales
/kai-partnership	Co-marketing and partnership campaign

Audit and improve

Command	What you get
/kai-gate	Quality score for any content using Four U's, banned words, specificity, proof, and platform checks
/kai-audit	Full marketing audit across SEO, content, email, ads, social, CRO, and positioning
/kai-seo-audit	Technical SEO and semantic SEO audit with prioritized fixes
/kai-cro	Conversion-rate audit for landing pages and funnels

Plan strategy

Command	What you get
/kai-brief	Content brief before writing
/kai-growth-plan	Marketing plan by stage: pre-launch, launch, growth, or scale
/kai-brand	Brand positioning and messaging framework
/kai-budget	Marketing budget and channel allocation
/kai-retention	Customer retention system and lifecycle plan

Research and analyze

Command	What you get
/kai-competitors	Competitive teardown and sales battlecards
/kai-surround-sound	AEO/GEO strategy for agent-readiness, source-quality, and measured AI-search visibility
/kai-analytics	Analytics and attribution setup
/kai	Command router and help menu

What is included

Kai ships with a real marketing knowledge base, more than prompts:

• 48 marketing playbook docs — growth loops, CRO, pricing, competitive intel, content repurposing, lifecycle marketing, launches, retargeting, ABM, partnerships, and more
• 27 frameworks — SEO rules, AEO/GEO strategy, AI-search optimization, perception engineering, copywriting formulas, quality-rater guidance, query fan-out, and LLM citation tracking
• 32 checklists — technical SEO, ad launches, content quality, email, PR, website launches, social audits, creative production, and paid acquisition
• 17 channel guides — SEO content, LinkedIn, Meta ads, TikTok, YouTube, X/Twitter, Instagram, newsletters, podcasts, community, affiliate/referral, and press
• 18 harness references — ad platform policies, API notes, compliance references, provenance rules, creator disclosure, and analytics query templates
• 8 audience personas — pains, hooks, objections, emotional drivers, and voice guidance
• Quality gates — Four U's, banned-word checks, proof density, specificity, platform compliance, SEO linting, and AI-slop detection

Core use cases

For SaaS founders

Use Kai to go from "we need marketing" to a concrete plan: landing page, launch content, lifecycle emails, cold outreach, SEO roadmap, paid campaign angles, and AI-search visibility.

For agencies

Install Kai inside a client repo and create repeatable strategy, content, campaign, and audit workflows without rebuilding your operating system for every account.

For indie hackers

Use /kai-growth-plan, /kai-landing-page, /kai-cold-outreach, and /kai-content-calendar to create a practical marketing system without hiring a team.

For local-service businesses

Use Kai's business profiling, audits, and proposal ranking to turn a service business website into a prioritized marketing action plan.

For AI-search visibility

Use /kai-surround-sound and the AEO/GEO knowledge base to target the questions people ask ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews when comparing products in your category.

Repository map

harness/skills/              Claude Code slash-command skills
knowledge/                   Marketing playbooks, frameworks, checklists, personas, policies
kai/runtime/                 Runtime models, state, profiles, approvals, and action lifecycle
scripts/quality/             Content quality gate and scoring rules
scripts/content/             Briefing, writing, reporting, and content workflow scripts
scripts/analytics/           Search Console, GA4, Stripe, Meta, and competitive monitoring utilities
harness/references/          Ad policy and compliance references
harness/skill-contracts/     Output contracts for common marketing assets
workspace/                   Example CMO-agent operating workspace
tools/docker/                Modal and RunPod media-generation worker templates

Where to start

• New launch: /kai-growth-plan -> /kai-email-system -> /kai-landing-page
• Need organic growth: /kai-content-calendar → /kai-write → /kai-gate
• Running ads: /kai-ad-campaign → /kai-cro → /kai-retarget
• Need AI-search mentions: /kai-surround-sound → /kai-competitors → /kai-seo-audit
• Want the full machine: /kai-launch

Requirements

• Claude Code
• A terminal
• Optional: analytics/ad-platform credentials if you want Kai to pull real performance data

No SaaS account is required. The core harness is local files and Claude Code skills.

Related search terms

AI marketing agent, AI CMO, Claude Code skills, Claude Code slash commands, Claude Code marketing skills, marketing automation agent, SaaS marketing agent, startup growth marketing AI, local service marketing OS, SEO content agent, answer engine optimization agent, generative engine optimization, GEO agent, AEO agent, LLM citation strategy, ChatGPT search optimization, Perplexity SEO, Claude search optimization, AI Overviews optimization, landing page copy agent, lifecycle email agent, paid ads agent, content calendar generator, marketing audit agent, product launch agent, AI growth marketing assistant.

License

MIT — see LICENSE.