class-learning-analysis

分析班级长期整体状态、薄弱知识点、共性错误、学习趋势和重点关注学生。

IndexedMIT

Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/jiaqiang000-class-learning-analysis

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

分析班级长期整体状态、薄弱知识点、共性错误、学习趋势和重点关注学生。

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

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Network hosts it talks to 1

codeload.github.com · found in install command

Files it touches

~/.claude/skills/class-learning-analysis

What's inside

Skill name: class-learning-analysis
Description: 分析班级长期整体状态、薄弱知识点、共性错误、学习趋势和重点关注学生。
License: MIT
Instructions: 30 lines in SKILL.md · view on GitHub

Agent Skills spec issues

allowed-tools: must be a space-separated string

Files (1)

SKILL.md

SKILL.md (first lines)

# Task Goal

分析班级长期学情:整体表现、薄弱知识点、共性错误、趋势、重点关注学生,并给出教学优先级。

# Required Tools

- get_class_profile:获取班级画像(长期派生事实)
- get_student_profile:必要时下钻重点学生的长期画像与原因

# Workflow

1. get_class_profile → 读取 weak_points / common_errors / attention_students / trend
2. 必要时对重点学生执行 get_student_profile 下钻
3. 输出班级学情诊断与教学优先级

# Evidence Rules

- 不得重新覆盖 ProfileAlgorithmV1 的 weak / attention 判断
- 单次作业情况不属于班级长期画像;需要单次作业时使用 homework-review
- 重点学生说明须给出原因码(如 LOW_RECENT_SCORE / RECURRING_ERROR)

# Output Format

班级整体状态 / 长期薄弱知识点 / 共性错误 / 学习趋势 / 重点关注学生 / 教学优先级

# Fallback

班级无有效数据 → 说明证据不足;数据源异常 → 报告失败并给出错误码。

From jiaqiang000/AI-Teacher-Copilot, MIT.

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Last commit (this folder): Sep 2, 2026 (1 month ago)

From GitHub (fetched Oct 24, 2026).

Details

License: MIT
Repository: github.com/jiaqiang000/AI-Teacher-Copilot
First seen: Oct 24, 2026
Last checked: Oct 24, 2026
Source: GitHub github-graphql