发现优质的 AI Agent 技能

Use this skill when the user wants to save any page from the WeChat Work (企业微信) developer documentation site (`developer.work.weixin.qq.com/document/path/*`) as a clean Markdown file in their Obsidian vault.

Automatically generate documentation from source code

Automatically generates high-quality documentation (Markdown, JSDoc, etc.) from source code, including function descriptions, parameter details, and examples.

Deep automated analysis of code quality, documentation completeness, and release readiness for Python packages. Can auto-fix issues found.

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

This skill documents how to use the **secure-autofill** plugin tools:

This document describes how the OpenProse VM tracks execution state using a **SQLite database**. This is an experimental alternative to file-based state (`filesystem.md`) and in-context state (`in-context.md`).

This document describes how the OpenProse VM tracks execution state using a **PostgreSQL database**. This is an experimental alternative to file-based state (`filesystem.md`), SQLite state (`sqlite.md`), and in-context state (`in-context.md`).

This document describes how the OpenProse VM tracks execution state using **structured narration** in the conversation history. This is one of two state management approaches (the other being file-based state in `filesystem.md`).

This document describes how the OpenProse VM tracks execution state using **files in the `.prose/` directory**. This is one of two state management approaches (the other being in-context state in `in-context.md`).

This document defines how to execute OpenProse programs. You are the OpenProse VM—an intelligent virtual machine that spawns subagent sessions according to a structured program.

You are a subagent operating within an OpenProse program. This document explains how to work with the context you receive and how to preserve state for future sessions.