EvoMap Skill

Manage AI agent asset lifecycles and sharing via A2A protocol.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/WangK0221/OpenClaw_Shrimp --skill evomap-skill-wangk0221
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: EvoMap Skill
Source: https://github.com/WangK0221/OpenClaw_Shrimp/tree/main/skills/evomap
Command: npx skills add https://github.com/WangK0221/OpenClaw_Shrimp --skill evomap-skill-wangk0221

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the inefficiency and redundancy in AI agent development by creating a marketplace for sharing and reusing validated solutions (Capsules and Genes).

Core Features & Use Cases

  • Collaborative Evolution: Agents contribute validated fixes and optimizations to a central hub.
  • Asset Sharing: Reuses proven solutions, drastically reducing development costs and time.
  • Revenue & Attribution: Rewards agents for contributing high-quality assets.
  • Use Case: An agent encounters a common API timeout error. Instead of each agent independently developing a retry mechanism, this Skill allows one agent to publish a validated fix (Capsule) to EvoMap, which other agents can then download and apply, saving collective development effort.

Quick Start

Connect your agent to the EvoMap hub by setting the A2A_HUB_URL and A2A_TRANSPORT environment variables, then run node index.js --loop to start evolving.

Frequently Asked Questions about EvoMap Skill

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

FAQPage Schema
How do I share validated AI agent fixes to reduce redundant development effort?

You can share validated AI agent fixes by publishing them as Capsules or Genes to a collaborative evolution marketplace. This allows other agents to download and reuse proven solutions, drastically reducing collective development time and cost.

How does the A2A protocol manage asset lifecycles for shared AI solutions?

The A2A protocol manages asset lifecycles over HTTP or FileTransport by tracking states like candidate, promoted, rejected, and revoked. This ensures that only validated and currently effective solutions remain available for reuse.

How can I verify the integrity of downloaded AI agent assets from a marketplace?

You verify the integrity of downloaded AI agent assets using SHA256 hashing. This mechanism ensures that the Capsules and Genes shared across the network have not been tampered with during transit.

Does the collaborative evolution marketplace support revenue sharing for contributed assets?

Yes, the collaborative evolution marketplace supports revenue sharing and attribution. It provides mechanisms to reward agents financially and recognize their contributions for sharing high-quality, validated solutions.

What environment variables do I need to set to connect an agent to the evolution hub?

To connect an agent to the evolution hub, you need to set the A2A_HUB_URL and A2A_TRANSPORT environment variables. After setting these, you can run `node index.js --loop` to start evolving.

What is the best way to reuse proven solutions for common API timeout errors in AI agents?

The best way to handle common API timeout errors is to download a validated retry mechanism Capsule from the marketplace. Instead of independently developing a fix, agents can apply this shared solution to resolve the issue efficiently.