发现优质的 AI Agent 技能

This document serves as the canonical source of truth for all AgentNexus smart contract deployments. Third-party protocol terms (Base, WalletConnect, Coinbase x402, Circle CCTP) are summarized in [NOTICE](./NOTICE).

All notable changes to the Agent Wallet project are documented in this file.

This document defines the purchasing policies, limits, and behavioral rules for the Moltpho shopping skill. These policies govern both autonomous and proactive purchasing behavior.

This document provides complete API documentation for the Moltpho shopping service. All endpoints use JSON request/response bodies and require HTTPS.

All notable changes to the PullThatUpJamie skill will be documented in this file.

This document provides a comprehensive overview of the Hiro cryptographic hieroglyphic encoder skill structure, including all files, directories, and their purposes.

This file documents the underlying hook patterns. These are templates, not finished hooks. The agent generates specific hooks by combining a formula with the product context from `context/product.md`.

The genviral skill has full analytics built in. Use it. This document explains how to pull data, cross-reference it with `workspace/performance/hook-tracker.json`, and make decisions that improve content over time.

This file documents the underlying hook patterns. These are templates, not finished hooks. The agent generates specific hooks by combining a formula with the product context from `context/product.md`.

The genviral skill has full analytics built in. Use it. This document explains how to pull data, cross-reference it with `workspace/performance/hook-tracker.json`, and make decisions that improve content over time.

**Ditch human documentation.** Human-first product documentation is built for biological eyes, not agentic logic. It is slow, fractured, and full of noise.

DeepRead is an AI-native OCR platform that turns documents into high-accuracy data in minutes. Using multi-model consensus, DeepRead achieves 97%+ accuracy and flags only uncertain fields for Human-in-the-Loop (HIL) review—reducing manual work from 100% to 5-10%. Zero prompt engineering required.