发现优质的 AI Agent 技能

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

Professional web scraping powered by Firecrawl API. Converts websites to clean, AI-ready markdown or structured JSON.

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.

This document catalogs proven patterns for orchestrating AI agents effectively. Each pattern addresses specific concerns: robustness, cost efficiency, speed, maintainability, or self-improvement capability.

This document catalogs patterns that lead to brittle, expensive, slow, or unmaintainable programs. Each antipattern includes recognition criteria and remediation guidance.

OpenProse is a programming language for AI sessions. An AI session is a Turing-complete computer; this document provides complete documentation for the language syntax, semantics, and execution model.

Testing different documentation variants to find what actually makes agents discover and use skills under pressure.