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Kai Growth Plan

Community
cgallic
kai-growth-plan

Generate a stage-appropriate marketing plan based on your company's MRR/stage. Uses the marketing-by-stage playbook to tell you exactly what to do (and what NOT to do) at pre-launch, early ($0-10K MRR), growth ($10-100K MRR), or scale ($100K+ MRR). Use when "what should I do for marketing", "growth plan", "marketing plan", "I just raised a round", "marketing strategy", "what's the right marketing for my stage", "GTM strategy", or any request for a stage-appropriate marketing roadmap.

Overview

Publishercgallic
Repositorykai-cmo-harness
Skill namekai-growth-plan
Stars
61
Forks
8
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by cgallic on GitHub. Read the source before you install it.

Installation

Install the Kai Growth Plan AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/cgallic/kai-cmo-harness/tree/main/harness/skills-v2/kai-growth-plan
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/cgallic/kai-cmo-harness.git /tmp/kai-cmo-harness
mkdir -p .claude/skills
cp -r /tmp/kai-cmo-harness/harness/skills-v2/kai-growth-plan .claude/skills/kai-growth-plan
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Kai Growth Plan in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Kai Growth Plan on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Kai Growth Plan is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Kai root note: knowledge/, harness/, and scripts/ paths in this skill live in the Kai install, not the user's project. Resolve them against the first ancestor directory of this SKILL.md that contains a knowledge/ folder (the Kai plugin root, ~/.claude/kai, or the kai-cmo-harness repo). MARKETING.md, memory/, and any output files live in the current project. If a referenced scripts/ command is not available in this install, say so, skip it, and continue with the file-based guidance — never fabricate its output.

Objective

A marketing plan the founder can start executing on Monday, matched to the company's actual stage — so that effort goes to the constraint that is currently binding growth rather than to the tactic that is currently fashionable. The plan names what to do, what to deliberately not do, which growth loop to build, and what to measure.

The wrong strategy at the right stage wastes money. Stage diagnosis is the load-bearing judgment in this skill.

Done when

Work type strategy-plan — floor E3/C3/O1 (harness/eco-floors.yaml).

  • E3 — a named human approved the exact plan document.
  • C3 — the plan clears banned_word_check, and someone other than its author read it end to end.
  • O1 — every P0 recommendation names the metric it targets, with a baseline, a threshold, and an owner. A plan whose first work item has no metric is not finished.

A plan nobody executes is not CLOSED. Its outcome is plan_adopted / first_action_shipped, read at 30 days.

Constraints

  • Stage first. Do not produce recommendations before diagnosing stage from revenue, retention, team, and current channels. A plan built on an assumed stage is worse than no plan.
  • Read MARKETING.md from the project root before asking the user anything. If it does not exist, build it from the codebase — README, manifests, landing pages, route files, analytics and email config — and confirm the draft. Do not open with discovery questions the repo can answer.
  • Provenance. Any quantitative or client-facing claim — benchmarks, CAC, conversion rates, competitor traffic, market size — runs through the collector first and cites a source. Missing data is a data gap, never a benchmark. See harness/references/audit-data-provenance.md.
  • Anti-patterns are mandatory output, not a bonus. What not to do at this stage is the half of the plan that saves money.
  • Phone Capture Fit Rule applies when the business appears phone-led. Compare alternatives, and do not lead with a phone answering service or AI receptionist when phone demand is low or the workflow is self-serve by design.
  • No spend commitments. Budget allocation is a recommendation; it does not authorize spend.

Revenue lens

Load the Revenue Lens section of harness/references/audit-data-provenance.md with the provenance rule.

  • Open with the funnel, not activity. Traffic source → intent → lead → follow-up → booked/paid, one row per stage, before any channel or technical finding. Sessions and lead counts are inputs, never the headline.
  • Rank gaps by the dollars each stage leaks. High-intent traffic with no lead path, leads with no follow-up, and follow-up with no booking outrank traffic volume.
  • Technical setup is one line. Schema, llms.txt, AI crawler access and sitemap get a sourced pass/fail; they become findings only when a measured check fails.
  • Unverified means check. Any claim or funnel stage not verified in this run is labeled check with what would verify it, is not scored, and is mirrored in _data-gaps.md.

Context

NeedLoad
Stage definitions and stage-specific movesknowledge/playbooks/marketing-by-stage.md
Which growth loop fits the productknowledge/playbooks/growth-loops-applied.md
Demand generation mechanicsknowledge/playbooks/demand-generation.md
Metrics that matter per stageknowledge/playbooks/saas-metrics-guide.md
Distribution, first growth hire, channel coverageknowledge/playbooks/growth-hacker-first-hire-os.md
Budget frameworksknowledge/playbooks/marketing-budget-forecasting.md
Which framework governs a conflictknowledge/_arbitration.md + knowledge/frameworks/marketing-science/diagnosis-first-operating-order.md
Product, ICP, voice, current channelsMARKETING.md (project root)

Stage map — the one table worth carrying inline, because it anchors every downstream call:

StageRevenueGoalMarketing mode
Pre-Launch$0Validate demandTalk to humans, build waitlist
Early$0–$10K MRRFind PMF + first channelManual, unscalable, learn what works
Growth$10K–$100K MRROptimize + expand channelsSystematize what works, test new channels
Scale$100K+ MRRSystematize + build teamHire, automate, diversify

Output goes to workspace/growth-plan/: stage assessment, 90-day plan, budget allocation, metrics dashboard, skill routing, anti-patterns. Same paths as v1 — downstream tooling does not branch on version.

Routing. The plan should end by naming which /kai skills execute it and when. This skill identifies which growth loop to build; it does not design the loop.

Escalate when

  • Revenue, retention, or channel data is unavailable and the stage cannot be diagnosed — say so rather than guessing a stage.
  • The user's stated stage conflicts with their numbers.
  • The plan would require spend the user has not authorized.
  • The business is in a regulated category where the obvious channel recommendation carries compliance risk.
  • Two loaded frameworks give conflicting guidance and knowledge/_arbitration.md does not resolve it.

Frequently asked questions

What does the Kai Growth Plan AI skill do?

Generate a stage-appropriate marketing plan based on your company's MRR/stage. Uses the marketing-by-stage playbook to tell you exactly what to do (and what NOT to do) at pre-launch, early ($0-10K MRR), growth ($10-100K MRR), or scale ($100K+ MRR). Use when "what should I do for marketing", "growth plan", "marketing plan", "I just raised a round", "marketing strategy", "what's the right marketing for my stage", "GTM strategy", or any request for a stage-appropriate marketing roadmap.

Why use Kai Growth Plan on TypingMind?

Because you install it once and use it with any model. Kai Growth Plan is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Kai Growth Plan in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cgallic/kai-cmo-harness/tree/main/harness/skills-v2/kai-growth-plan. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Kai Growth Plan?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Kai Growth Plan?

As many as you like. As long as a model supports skills, you can use Kai Growth Plan with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Kai Growth Plan AI skill free?

It is published on GitHub by cgallic. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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