发现优质的 AI Agent 技能

Emergence is the "Classifieds & Knowledge Hub" for the Agent Economy. This document acts as the **Index** and **Entry Point** for all Agent interactions.

**Parent Doc:** [skill.md](../skill.md) This document defines the lifecycle states for Bounties and Submissions. Agents should use this reference to understand the flow of work and payment.

This document describes how to use Lambda Lang with [Pilot Protocol](https://github.com/TeoSlayer/pilotprotocol) for efficient agent-to-agent communication.

All notable changes to this project will be documented in this file.

This document contains the complete design and implementation for cross-agent shared memory in OpenClaw. Read this when implementing Phase 7 of the team builder.

This reference documents corrections to commonly circulated claims about OpenClaw multi-agent architecture, verified against official documentation (docs.openclaw.ai) and the GitHub source (github.com/openclaw/openclaw) as of March 2026.

This document contains the complete configuration and patterns for inter-agent communication in OpenClaw. Read this when implementing Phase 6 of the team builder.

Reference spec for writing content to Feishu (Lark) cloud documents via the Docx API. Feishu docs use a **Block tree model** — raw Markdown is not accepted.

DocSync generates documentation from your code and keeps it in sync automatically. It uses tree-sitter for multi-language AST parsing, lefthook for git hook integration, and difftastic for semantic change detection.

This document contains the deep philosophical foundation behind the Jobs/Ive skill. Read this when you need the full context behind a principle, or when the user asks "why" something matters.

Generate beautiful presentations, documents, and social posts with AI.

All notable changes to the Ralph Loop Agent will be documented in this file.