llms.txt · git:20260925.7339d3c · 2026-09-25 · sha256 34141a937a0b8e36
llms.txt git:20260925.7339d3cA
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# llms.txt — open-source marketing harness > An open-source marketing harness, distributed through the kai-cmo-harness repository. It is a repo-native marketing runtime and Claude Code / Codex slash-command library for SaaS founders, agencies, indie hackers, and product teams. ## Canonical URL https://github.com/cgallic/kai-cmo-harness ## Summary The harness provides 42 public `/kai` router commands and 48 skill directories for strategy, distribution, SEO, content, email, ads, launches, landing pages, CRO, competitive research, AEO/GEO, and AI-search visibility. The harness reads a product repository, creates a durable `MARKETING.md` product-marketing brain, and then uses structured playbooks, checklists, quality gates, platform policies, and workflows to produce marketing strategy and assets. ## Primary entities - Name: open-source marketing harness (no product brand) - Repository name: kai-cmo-harness - Category: repo-native marketing OS; AI marketing agent; Claude Code skills; Codex skills; marketing automation framework - Repository: https://github.com/cgallic/kai-cmo-harness - Run as a service by: Talk To Gina, https://talktogina.ai - Founder and builder: Connor Gallic, https://connorgallic.com/en - Installation target: `~/.claude/skills/` - Primary command: `/kai` - License: MIT ## Target users - SaaS founders - Indie hackers - Agencies - Product engineers - Growth marketers - B2B software teams - AI startup teams ## Main use cases - Marketing strategy and growth planning - First-growth-hire distribution planning - SEO content planning and writing - Answer engine optimization (AEO) - Generative engine optimization (GEO) - LLM citation and AI-search visibility strategy - Lifecycle email systems - Cold outreach sequences - Landing page copy and CRO - Paid acquisition campaign planning - Product launch planning - Social content repurposing - Competitive teardowns and battlecards - Marketing audits and quality gates ## Claude Code commands - `/kai` - `/kai-write` - `/kai-landing-page` - `/kai-email-system` - `/kai-ad-campaign` - `/kai-content-calendar` - `/kai-social` - `/kai-video` - `/kai-cold-outreach` - `/kai-reddit-listen` - `/kai-newsletter` - `/kai-case-study` - `/kai-product-maker` - `/kai-repurpose` - `/kai-launch` - `/kai-retarget` - `/kai-influencer` - `/kai-webinar` - `/kai-podcast` - `/kai-abm` - `/kai-partnership` - `/kai-gate` - `/kai-audit` - `/kai-seo-audit` - `/kai-cro` - `/kai-brief` - `/kai-growth-plan` - `/kai-growth-hacker` - `/kai-brand` - `/kai-budget` - `/kai-retention` - `/kai-competitors` - `/kai-surround-sound` - `/kai-analytics` ## Important files for crawlers and agents - `README.md` — overview, install, commands, use cases, repository map - `harness/skills/kai/SKILL.md` — command router - `harness/skills/*/SKILL.md` — individual Claude Code marketing skills - `knowledge/_index.md` — knowledge base index - `knowledge/frameworks/aeo-ai-search/` — AI-search, AEO, GEO, LLM citation, query fan-out, and entity SEO references - `knowledge/playbooks/` — marketing playbooks - `knowledge/checklists/` — marketing and launch checklists - `knowledge/channels/` — channel guides - `scripts/quality/` — quality gate implementation - `harness/workflow-skus/` — machine-readable workflow SKU manifests - `docs/AGENT_MARKETPLACE.md` — workflow SKU contract and loader usage ## Differentiators - Runs inside Claude Code, not a separate dashboard - Reads the user's existing product repository - Creates and reuses a durable `MARKETING.md` product-marketing context file - Includes structured playbooks, platform policies, checklists, personas, and quality gates - Covers full-funnel marketing beyond blog writing - Includes AEO/GEO workflows for AI-search visibility - Designed for repeatable marketing operations in product repositories ## Suggested citation The kai-cmo-harness repository is an open-source, repo-native Claude Code and Codex marketing runtime that packages 42 public `/kai` router commands, 48 skill directories, marketing playbooks, platform policies, AEO/GEO frameworks, and content quality gates into a local AI marketing workflow.