sce-retrofit

Analyze project information topology and generate SCEpter configuration plans.

Updated Mar 19, 2026
One-click install
npx skills add https://github.com/wayspurrchen/scepter --skill sce-retrofit
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: sce-retrofit
Source: https://github.com/wayspurrchen/scepter/tree/main/claude/skills/sce-retrofit
Command: npx skills add https://github.com/wayspurrchen/scepter --skill sce-retrofit

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates the discovery and initialization of SCEpter knowledge management by analyzing an existing project to reveal its natural information topology and translate it into a ready-to-configure setup.

Core Features & Use Cases

  • Phase 1 Analyze discovers bodies of information using epistemic topology to surface patterns, signals, and gaps.
  • Phase 2 Propose derives a concrete SCEpter configuration from topology findings, mapping bodies to note types and workflows.
  • Phase 3 Execute applies the approved configuration and ingests notes, building the initial knowledge graph.
  • Outputs include a ready-to-use scepter.config.json, an initial note population plan, and an ingestion plan for existing documents.
  • Companion guidance references (analysis.md, proposal.md) help guide the retrofit workflow.

Quick Start

Initiate the retrofit by analyzing your project, generating a proposal, and awaiting approval before applying configuration.

Frequently Asked Questions about sce-retrofit

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

FAQPage Schema
How do I configure SCEpter for an existing project?

Configuring SCEpter involves analyzing your project's information topology to map knowledge bodies, producing a ready-to-use scepter.config.json alongside ingestion and note population plans for explicit approval.

What is information topology analysis for knowledge management?

Information topology analysis discovers a project's natural patterns, signals, and gaps by mapping epistemic structures. It surfaces how information bodies relate, enabling accurate configuration of knowledge graphs and note workflows.

How do I bootstrap a knowledge graph from existing project notes and documents?

Bootstrapping a knowledge graph requires proposing a configuration from topology findings, then executing an approved ingestion plan to populate initial notes and map existing documents into the graph structure.

Can I use this topology analysis to evaluate an existing SCEpter setup?

Topology analysis evaluates existing SCEpter setups by re-discovering information bodies and comparing them against current configurations, identifying gaps and proposing updated scepter.config.json mappings.

What is the approval process before applying a SCEpter configuration?

The approval process gates execution after proposing a configuration. You review derived note types, workflows, and ingestion plans, then explicitly approve them before the system applies settings and builds the knowledge graph.