openspec-daem0n-bridge

Import OpenSpec specifications into Daem0n-MCP memory automatically.

73|11|Updated Nov 4, 2025
One-click install
npx skills add https://github.com/DasBluEyedDevil/Daem0n-MCP --skill openspec-daem0n-bridge
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: openspec-daem0n-bridge
Source: https://github.com/DasBluEyedDevil/Daem0n-MCP/tree/main/.claude/skills/openspec-daem0n-bridge
Command: npx skills add https://github.com/DasBluEyedDevil/Daem0n-MCP --skill openspec-daem0n-bridge

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Bridges OpenSpec specifications with Daem0n-MCP memory to enable automatic import, recall, and learning from past proposals and outcomes.

Core Features & Use Cases

  • Auto-detection of OpenSpec specs and import into memory
  • Memory creation using recalls, remembers, and rule creation
  • Workflow orchestration for import, proposal inform, and archive learnings
  • Conversion of archived changes into learnings to close the loop

Quick Start

Run the auto-detection workflow to import OpenSpec specs into memory.

Frequently Asked Questions about openspec-daem0n-bridge

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

FAQPage Schema
How do I import OpenSpec specifications into a persistent memory for project recall?

To import OpenSpec specifications into memory, this Skill auto-detects an openspec/specs/ directory and orchestrates memory creation using recalls, remembers, and rule generation.

Can I convert archived OpenSpec proposal changes into learnings automatically?

Yes, you can convert archived OpenSpec proposal changes into learnings automatically; the Skill closes the loop by converting archived outcomes into memory-based learnings.

What is the best way to use memory to inform new OpenSpec proposal planning?

The best way to inform new OpenSpec proposal planning is using the proposal inform workflow, which recalls past memories and archived learnings to guide current spec creation.

Does this workflow require an openspec/specs/ directory to function?

Yes, the workflow requires an openspec/specs/ directory to function, as it applies automated spec detection and memory bridging specifically when that directory is present.

How does archival learning work with OpenSpec specs and memory integration?

Archival learning works by extracting outcomes from archived OpenSpec changes and converting them into memory rules, enabling automated recall for future proposal workflows.