kai-topical-map

Plan and execute topical maps with entity mapping and 90-day publishing calendars.

40|5|Updated Mar 16, 2026
One-click install
npx skills add https://github.com/cgallic/kai-cmo-harness --skill kai-topical-map
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: kai-topical-map
Source: https://github.com/cgallic/kai-cmo-harness/tree/main/harness/skills/kai-topical-map
Command: npx skills add https://github.com/cgallic/kai-cmo-harness --skill kai-topical-map

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Plans and executes end-to-end topical maps to organize content for AI search and entity authority. It guides the creation of a hub-and-spoke content architecture, maps entities and queries to content, and defines a publishing cadence to improve search visibility and citation quality.

Core Features & Use Cases

  • Phase-driven workflow from discovery through content node architecture and a 90-day publishing calendar.
  • Entity map and schema blueprint generation to establish canonical authority and structured data signals.
  • Information Gain auditing to identify novel angles and proprietary data opportunities, then convert them into publishable content.

Quick Start

Start by defining your brand context and run Phase 0 to generate your topical map, entity map, and calendar.

Frequently Asked Questions about kai-topical-map

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create a topical map for AI search visibility?

To create a topical map for AI search visibility, you define your brand context and run a phased discovery process that generates a hub-and-spoke content architecture, entity maps, and a 90-day publishing calendar.

What is a hub-and-spoke content architecture for entity authority?

A hub-and-spoke content architecture organizes core topic pages (hubs) linked to detailed supporting articles (spokes) to establish canonical entity authority and improve structured data signals for AI search engines.

How do I plan a publishing calendar using an entity map?

You plan a publishing calendar by mapping entities and queries to specific content nodes, then scheduling those nodes across a 90-day timeline that includes distribution guidance for web, social, and directory platforms.

Does this topical map workflow include information-gain auditing?

Yes, the topical map workflow includes an information-gain audit designed to identify novel angles and proprietary data opportunities, which are then converted into publishable content nodes within your architecture.

Can I use this for multi-phase content discovery across social and directories?

Yes, you can use this multi-phase discovery workflow to plan and execute content distribution across web, social, and directories, ensuring structured calendars with provenance guidance for each platform.

When do I need schema blueprint generation for a topical map?

You need schema blueprint generation when your topical map requires structured data signals to establish canonical authority, ensuring AI search engines can accurately parse and cite your entity relationships.