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.