# What APIs Are Exposed by zhangxuefeng-skill? Understanding Agent Skill Interfaces > Discover how zhangxuefeng-skill uses a unique Markdown-based skill definition for AI agent runtimes via the Agent Skills protocol. Learn about its interface. - Repository: [花叔/zhangxuefeng-skill](https://github.com/alchaincyf/zhangxuefeng-skill) - Tags: api-reference - Published: 2026-06-27 --- **The zhangxuefeng-skill repository does not expose traditional HTTP/REST or GraphQL APIs; instead, it implements a Markdown-based skill definition that AI agent runtimes consume through the Agent Skills protocol.** The zhangxuefeng-skill repository by alchaincyf provides a specialized AI prompt template designed for agent consumption rather than functioning as a web service with network endpoints. Unlike conventional APIs that listen on specific ports and handle HTTP requests, this repository exposes a **skill-installation and invocation interface** that integrates with compatible AI agents including Claude Code, Cursor, Codex, and OpenClaw. Understanding what APIs are exposed by zhangxuefeng-skill requires recognizing the shift from request-response endpoints to data-driven skill packages that reside in agent directories. ## Architecture of zhangxuefeng-skill APIs ### Skill-Based vs. Service-Based API Design The repository contains **no server-side code, request handlers, or network listeners**. According to the alchaincyf/zhangxuefeng-skill source code, the entire API surface is data-driven and consists of plain-text Markdown files with YAML front-matter. The "API" is the **Agent Skills protocol**—a specification that allows AI runtimes to load, parse, and inject skill prompts into LLM contexts. At runtime, the agent scans its skills directory (e.g., `~/.claude/skills/` or `~/.cursor/skills/`), loads the [`SKILL.md`](https://github.com/alchaincyf/zhangxuefeng-skill/blob/main/SKILL.md) file, and makes the embedded prompt template available for natural language invocation. This architecture eliminates the need for HTTP endpoints while providing programmable behavior through declarative configuration. ## How to Access the zhangxuefeng-skill API ### Installation via CLI The primary method for exposing the skill to your agent runtime uses the `skills` CLI. This command resolves the repository, copies the skill files into the runtime's skill folder, and registers the skill for agent use: ```bash # Install the skill using the Agent Skills CLI npx skills add alchaincyf/zhangxuefeng-skill ``` After installation, verify the skill is available by checking the runtime's skills directory: ```bash # Verify installation for Claude Code ls ~/.claude/skills/zhangxuefeng-skill # Expected output: SKILL.md, README.md, etc. # Or for Cursor ls ~/.cursor/skills/zhangxuefeng-skill ``` ### Manual Installation Method If you prefer manual setup or need to customize the skill files before installation, clone the repository directly into your agent's skills directory: ```bash # Clone into Cursor's skills directory git clone https://github.com/alchaincyf/zhangxuefeng-skill \ ~/.cursor/skills/zhangxuefeng-skill ``` The agent automatically loads the skill on the next startup, scanning the directory and parsing the [`SKILL.md`](https://github.com/alchaincyf/zhangxuefeng-skill/blob/main/SKILL.md) file into memory. ### Runtime Invocation Patterns Once installed, the API is invoked through **natural language prompts** rather than HTTP requests. The agent matches user input against the skill's trigger patterns and injects the full prompt template from [`SKILL.md`](https://github.com/alchaincyf/zhangxuefeng-skill/blob/main/SKILL.md) into the LLM context: ```bash # Example invocation in an agent session > 用张雪峰的视角帮我分析这个专业选择 ``` This command triggers the runtime to load the skill's prompt template, which contains the specific persona, constraints, and knowledge base defined in the repository. ## Core API Files and Structure ### SKILL.md - The Primary API Definition Located at [`SKILL.md`](https://github.com/alchaincyf/zhangxuefeng-skill/blob/main/SKILL.md) in the repository root, this file constitutes the entire programmable interface. It contains: - **YAML front-matter**: Metadata describing the skill name, version, compatible models, and trigger keywords - **Prompt template**: The full system prompt that defines the Zhang Xuefeng persona and analytical framework When the agent runtime loads this file, it processes the YAML headers to register the skill and stores the Markdown content for context injection. ### Supporting Documentation and Resources The repository includes several files that support the API implementation: - **[`README.md`](https://github.com/alchaincyf/zhangxuefeng-skill/blob/main/README.md)**: Contains installation instructions, usage examples, and compatibility notes for the Agent Skills protocol - **`references/research/*.md`**: Supporting research files that back the skill's knowledge base and decision heuristics - **[`examples/demo-conversation.md`](https://github.com/alchaincyf/zhangxuefeng-skill/blob/main/examples/demo-conversation.md)**: A concrete conversation transcript demonstrating the skill's invocation patterns and expected outputs These files do not expose additional API endpoints but provide the documentation necessary for runtime integration and skill customization. ## Summary - **zhangxuefeng-skill exposes no HTTP/REST endpoints**; it operates entirely through the Agent Skills protocol as a data-driven package. - **Install via CLI** using `npx skills add alchaincyf/zhangxuefeng-skill` or manually clone to `~/.cursor/skills/` or `~/.claude/skills/`. - **The API surface is [`SKILL.md`](https://github.com/alchaincyf/zhangxuefeng-skill/blob/main/SKILL.md)**, which contains the YAML metadata and prompt template loaded by agent runtimes at startup. - **Invocation occurs through natural language prompts** processed by the LLM, not through programmatic HTTP requests. ## Frequently Asked Questions ### Does zhangxuefeng-skill provide REST API endpoints for external integration? No, the repository contains no server-side code, endpoint definitions, or network handlers. The zhangxuefeng-skill is designed as a static skill package that AI agents load from the local filesystem. Integration occurs through the Agent Skills CLI or manual directory installation, not through HTTP requests. ### How do I programmatically call zhangxuefeng-skill from my application? You cannot call it via traditional API requests. To use the skill programmatically, your application must interface with an AI agent runtime that supports the Agent Skills protocol (such as Claude Code or Cursor). Install the skill into the runtime's directory, then interact with the agent using natural language prompts that trigger the skill's template injection. ### Which AI agent runtimes support zhangxuefeng-skill? According to the repository documentation, the skill is compatible with any runtime implementing the Agent Skills protocol, including Claude Code, Codex, Cursor, OpenClaw, and Hermes Agent. These runtimes scan their respective skills directories (e.g., `~/.claude/skills/`) at startup and load any valid [`SKILL.md`](https://github.com/alchaincyf/zhangxuefeng-skill/blob/main/SKILL.md) files found within subdirectories. ### Can I modify the skill behavior after installation? Yes, because the API is file-based, you can edit the [`SKILL.md`](https://github.com/alchaincyf/zhangxuefeng-skill/blob/main/SKILL.md) file directly in your agent's skills directory (e.g., `~/.cursor/skills/zhangxuefeng-skill/SKILL.md`). Changes to the YAML front-matter or prompt template take effect immediately on the next agent session or restart, as the runtime reloads the skill files from disk.