enrich

Generate multiple message drafts from a core outline for specific channels and audiences.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/kentoku24/project-guild --skill enrich-kentoku24
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: enrich
Source: https://github.com/kentoku24/project-guild/tree/main/docs/skills/enrich
Command: npx skills add https://github.com/kentoku24/project-guild --skill enrich-kentoku24

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Enrich translates a core message outline into context-rich, ready-to-share message material that resonates with the intended audience.

Core Features & Use Cases

  • Memory-assisted tailoring: reads channel-memory and people-memory to tailor tone and context.
  • Multi-message outputs: generates several draft variants for different channels and targets.
  • Information integration: uses provided sources and references to enrich content with relevant data and examples.

Quick Start

Provide the core message outline, optional sources, the delivery channel, and the target audience, then run /enrich to generate ready-to-use message drafts.

Frequently Asked Questions about enrich

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

FAQPage Schema
How do I generate message drafts for different delivery channels from a single outline?

To generate channel-tailored message drafts, provide a core message outline, optional sources, delivery channels, and target audiences. The system outputs multiple ready-to-share variants tailored for each specific context.

How do I tailor copywriting tone for specific target audiences using memory references?

Tailoring copywriting tone for target audiences is done by reading channel-memory and people-memory references. The system uses this stored context to adapt message drafts to the appropriate tone for each audience segment.

Can I use WebFetch to enrich content creation with external sources?

Yes, you can use WebFetch to enrich content creation. The system integrates provided sources and uses retrieval tools to fetch relevant data and examples, enriching the message drafts with external context.

What is the best way to contextualize a core idea before sharing it across multiple channels?

The best way to contextualize a core idea is to run it through a contextualization process that applies memory references and information retrieval. This produces multiple tailored message variants suitable for different channels.

Do I need to provide delivery channels and target audiences to generate ready-to-share message material?

Yes, providing delivery channels and target audiences is required to generate ready-to-share message material. The system uses these inputs, alongside core outlines and optional sources, to produce tailored draft variants.

Why does my generated message material lack relevant data examples for my audience?

Generated message material may lack relevant data examples if optional sources are not provided. The system relies on provided sources and information retrieval tools to enrich content with specific data and examples.