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esdd-init

Initialize Eureka SDD feature-spec scaffolding with a two-phase SCAN/BUILD workflow.

2|Updated Apr 6, 2026
Search Tags:#scaffolding#knowledge-base#project-context#ai-assisted#feature-spec#esdd#scaffolding-tool
One-click install
npx skills add https://github.com/bingeli1379/eli-claude-marketplace --skill esdd-init
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: esdd-init
Source: https://github.com/bingeli1379/eli-claude-marketplace/tree/main/plugins/eureka-sdd/skills/esdd-init
Command: npx skills add https://github.com/bingeli1379/eli-claude-marketplace --skill esdd-init

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Initialize the feature-spec scaffolding by auto-generating config.yaml and context.md, enabling AI-driven project governance and onboarding.

Core Features & Use Cases

  • Auto-generates up to three artifacts: feature-spec/config.yaml, feature-spec/context.md, and feature-spec/knowledge.md skeleton.
  • Two-phase SCAN and BUILD workflow to safely analyze and write artifacts.
  • Migrate legacy knowledge locations and integrate seed candidates from project sources.
  • Provides a structured skeleton for long-term project context and governance.

Quick Start

Initialize the feature-spec scaffold for a new or reconfigured project.

Frequently Asked Questions about esdd-init

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

FAQPage Schema
How do I scaffold project context for AI-assisted development?▼

Scaffolding project context is done by auto-generating config.yaml and context.md files, which provides the structured AI context and governance needed for your project.

What is the SCAN and BUILD workflow for feature-spec initialization?▼

The SCAN and BUILD workflow is a two-phase process that first analyzes your project's manifest files and then safely writes the feature-spec artifacts to disk.

How do I migrate legacy knowledge locations into a new project context?▼

Migrating legacy knowledge locations is handled by the initialization process, which integrates seed candidates from project sources into the new knowledge.md skeleton.

Can I extract tech stack conventions from manifest files to drive AI context?▼

Yes, the scaffolding process extracts tech stack and project conventions directly from manifest files to drive AI context and enforce project governance.

What files are auto-generated during feature-spec initialization?▼

Feature-spec initialization auto-generates up to three artifacts: feature-spec/config.yaml, feature-spec/context.md, and a feature-spec/knowledge.md skeleton.

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