keystone:synthesize

Promote accepted learning candidates to corpus or guide layers and refresh Globs index.

42|3|Updated May 31, 2026
One-click install
npx skills add https://github.com/tacoda/keystone --skill keystone-synthesize
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: keystone:synthesize
Source: https://github.com/tacoda/keystone/tree/main/internal/framework/scaffold/templates/charter/skills/keystone-synthesize
Command: npx skills add https://github.com/tacoda/keystone --skill keystone-synthesize

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Manually promoting accepted learning-inbox candidates into the correct corpus or guide layer can be time-consuming and prone to errors.

Core Features & Use Cases

  • Automated Candidate Promotion: Promote accepted learning candidates automatically to the right layer (guide, corpus, sensor).
  • INDEX.json Refresh: Regenerates the Globs index and refreshes Cursor projections upon promotions.
  • Use Case: Ideal for periodic charter hygiene and after accepting candidates from /keystone:learn.

Quick Start

Run 'keystone synthesize' to automatically promote learning candidates.

Frequently Asked Questions about keystone:synthesize

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

FAQPage Schema
How do I automate promotion of learning candidates into corpus layers?

Automating candidate promotion requires running a synthesize process that moves accepted learning-inbox items into the correct corpus or guide layer, simultaneously updating the Globs index and refreshing Cursor projections.

What is automated charter maintenance in a coding agent framework?

Automated charter maintenance is a hygiene process for coding agent frameworks that systematically promotes accepted learning candidates into structured corpus layers and regenerates index projections without manual file manipulation.

When do I need to regenerate the Globs index for learning candidates?

You need to regenerate the Globs index after accepting learning-inbox candidates, ensuring newly promoted corpus or guide layers are properly indexed and Cursor projections reflect the updated charter structure.

Can I use automated candidate promotion with a coding agent framework for periodic charter hygiene?

Yes, automated candidate promotion is designed specifically for coding agent frameworks to execute periodic charter hygiene, moving accepted learning candidates to appropriate sensor, guide, or corpus layers.

What's the best way to update Cursor projections after accepting learning candidates?

The best way to update Cursor projections is through an automated synthesize process that promotes accepted learning candidates and simultaneously refreshes both the Globs index and Cursor projections.

Why does manually promoting learning candidates to corpus layers cause errors?

Manual promotion causes errors because it lacks automated index synchronization, leading to mismatched Globs index entries and stale Cursor projections when moving accepted candidates across guide, corpus, or sensor layers.