How to Configure the zhangxuefeng-skill Project for AI Agent Runtimes

Configure the zhangxuefeng-skill project by installing it into any Agent-Skills-compatible runtime and invoking the "zhangxuefeng-perspective" role—no environment variables or compile-time configuration required.

The zhangxuefeng-skill repository implements a specialized AI agent that emulates Zhang Xuefeng's educational counseling perspective. To configure the zhangxuefeng-skill project, you simply select a compatible runtime, install the skill using either the automated installer or manual cloning, and activate the predefined workflow through natural language prompts.

Choose an Agent-Skills-Compatible Runtime

The zhangxuefeng-skill operates on any runtime implementing the Agent Skills protocol. Common supported options include:

  • Claude Code: ~/.claude/skills/zhangxuefeng-skill/
  • Codex CLI: ~/.codex/skills/zhangxuefeng-skill/
  • Cursor: ~/.cursor/skills/zhangxuefeng-skill/
  • OpenClaw: ~/.openclaw/workspace/skills/zhangxuefeng-skill/

These paths correspond to the installation table documented in README.md (lines 95-103).

Install the zhangxuefeng-skill

You have two methods to install the skill into your chosen runtime's directory.

The npx skills CLI automatically detects your runtime and copies the skill to the correct location:

npx skills add alchaincyf/zhangxuefeng-skill

This installer handles path resolution and placement as described in the README (lines 84-92).

Option B: Manual Clone

Clone the repository directly into your runtime's skills directory. For example, with Claude Code:

git clone https://github.com/alchaincyf/zhangxuefeng-skill \
  ~/.claude/skills/zhangxuefeng-skill/

Replace the target path with the appropriate directory for your specific runtime (e.g., ~/.cursor/skills/ for Cursor).

Activate the Skill and Trigger the Workflow

Once installed, activate the skill by prompting your agent to adopt the Zhang Xuefeng perspective. The runtime registers the skill name zhangxuefeng-perspective from the YAML front-matter in SKILL.md (lines 1-9).

Use activation prompts such as:

> 用张雪峰的视角帮我分析这个专业选择
> 张雪峰会怎么看这个职业方向?
> 切换到张雪峰,我孩子要填志愿了

Upon activation, the skill executes the agentic workflow defined in SKILL.md (lines 32-40), which includes problem classification, data search, and model-driven answer generation (lines 46-54).

Understanding the Configuration Architecture

Unlike traditional projects requiring environment variables or config files, zhangxuefeng-skill uses a declarative configuration embedded entirely within SKILL.md:

  • Lines 1-9: YAML front-matter registering the skill name and metadata
  • Lines 16-28: Role-playing rules and constraints
  • Lines 32-54: The "回答工作流 (Agentic Protocol)" defining the execution pipeline

No additional compilation, environment setup, or external API keys are necessary.

Summary

  • Runtime Selection: Install into any Agent-Skills-compatible directory (Claude Code, Cursor, Codex, etc.)
  • Installation Methods: Use npx skills add alchaincyf/zhangxuefeng-skill for automatic setup, or manual git clone into the runtime's skills folder
  • Activation: Invoke via Chinese prompts requesting Zhang Xuefeng's perspective; the runtime reads SKILL.md to execute the predefined workflow
  • Configuration: Zero external configuration required; all logic resides in the YAML front-matter and markdown body of SKILL.md

Frequently Asked Questions

Do I need to set environment variables to configure zhangxuefeng-skill?

No. The zhangxuefeng-skill project requires no environment variables, API keys, or compile-time configuration. The runtime reads the skill definition directly from the YAML front-matter in SKILL.md (lines 1-9) and executes the workflow described in the markdown body.

Which AI runtimes support zhangxuefeng-skill?

The skill works on any runtime implementing the Agent Skills protocol, including Claude Code, Codex CLI, Cursor, OpenClaw, and Hermes Agent. Each runtime expects the skill files in a specific subdirectory under the user's home directory, as detailed in the installation table (README.md lines 95-103).

How do I verify that zhangxuefeng-skill is installed correctly?

Check that the skill files exist in your runtime's skills directory (e.g., ~/.claude/skills/zhangxuefeng-skill/SKILL.md). Then issue an activation prompt like > 用张雪峰的视角帮我分析这个专业选择. If the agent responds using Zhang Xuefeng's characteristic analytical framework, the installation is successful.

Can I modify the skill's behavior after installation?

Yes. Since all configuration is self-contained in SKILL.md, you can edit the role-playing rules (lines 16-28) or the agentic workflow (lines 32-54) directly in the installed directory. Changes take effect immediately on the next skill invocation without requiring recompilation or service restarts.

Have a question about this repo?

These articles cover the highlights, but your codebase questions are specific. Give your agent direct access to the source. Share this with your agent to get started:

Share the following with your agent to get started:
curl -s "https://instagit.com/install.md"

Works with
Claude Codex Cursor VS Code OpenClaw Any MCP Client

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