Agent skill · Backend & API

glm-coding

This skill provides specialized knowledge for integrating and using GLM-4.7 Coding Plan API (智谱编程套餐). Use this skill when working with GLM-4.7 for prompt optimization, code generation, or technical documentation tasks. GLM-4.7 uses a unique response format with reasoning_content field and requires special endpoint handling.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill glm-coding --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 9 KB
Bundled scripts: none
Path: skills/ai-llm/glm-coding/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# GLM-4.7 Coding Plan Integration This skill provides specialized knowledge for integrating and using GLM-4.7 Coding Plan API (智谱编程套餐) from Zhipu AI (智谱AI). ## Purpose GLM-4.7 Coding Plan is a specialized OpenAI-compatible API designed for programming and code-related tasks. This skill covers: - API integration with correct endpoint format - Response format handling (`reasoning_content` vs `content`) - Performance characteristics and optimization strategies - Best practices for prompt optimization ## When to Use This Skill Use this skill when: - Integrating GLM-4.7 Coding Plan API into applications - Troubleshooting GLM API connection or response issues - Optimizing prompts for video generation or other tasks - Comparing GLM with other AI providers (DeepSeek, etc.) ## API Integration ### Endpoint Format (⚠️ Critical Difference) GLM-4.7 Coding Plan uses a **non-standard endpoint format**: ``` Base URL: https://open.bigmodel.cn/api/coding/paas/v4 Full Endpoint: https://open.bigmodel.cn/api/coding/paas/v4/chat/completions ``` **Key Difference**: No `/v1` prefix, directly `/chat/completions` **Example** (openaiClient.js): ```javascript // ❌ Wrong: Standard OpenAI format const baseURL =

What's inside
Steps it walks through
  1. Purpose
  2. When to Use This Skill
  3. API Integration
  4. Endpoint Format (⚠️ Critical Difference)
  5. Response Format Handling (⚠️ Critical)
  6. API Key Format
  7. Performance Characteristics
  8. Use Cases
  9. 1. Prompt Optimization (picture-book style)
  10. 2. Code Generation and Optimization
  11. 3. Technical Documentation
  12. Known Limitations
  13. Best Practices
  14. 1. Use for Batch Processing
Ships with 1 file
  • metadata.json
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About this skill
What does the glm-coding skill do?

This skill provides specialized knowledge for integrating and using GLM-4.7 Coding Plan API (智谱编程套餐). Use this skill when working with GLM-4.7 for prompt optimization, code generation, or technical documentation tasks. GLM-4.7 uses a unique response format with reasoning_content field and requires special endpoint handling.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill glm-coding --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going