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course-learning

Use RAG and knowledge graph tools to answer course-learning questions with sources and related concepts.

Skill by think520

IndexedApache-2.0★ 2
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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/think520-course-learning

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

Use RAG and knowledge graph tools to answer course-learning questions with sources and related concepts.

Use cases: ml

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

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

Tools
No tools found
Secrets
None asked for
Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/course-learning

What's inside

Skill name
course-learning
Description
Use RAG and knowledge graph tools to answer course-learning questions with sources and related concepts.
License
Apache-2.0
Instructions
18 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Course Learning Assistant

Use this skill when the user asks about course materials, Obsidian notes, concepts, prerequisites, or learning order.

## Tool choice

- For "是什么", definitions, explanations, summaries, or "在哪里出现过", call `rag_search` first.
- For "和谁有关", tags, source notes, course/chapter placement, or concept relationships, call `graph_query` first.
- For mixed questions, call both `rag_search` and `graph_query`, then separate textual evidence from graph relationships.
- If the user says they added or changed notes, call `obsidian_sync` before searching.

## Answer style

- Always cite sources from `rag_search` when using retrieved text.
- When graph and retrieved text disagree, state the difference instead of forcing one answer.
- Keep answers study-oriented: define the concept, show where it appears, then list related concepts or next steps.

From think520/react-agent, Apache-2.0.

More from think520/react-agent

Signals

Stars
2
Forks
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Open issues
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Last commit (this folder)
May 19, 2026 (5 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
Apache-2.0
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from think520

Cite this page

course-learning skill. Agent Mart. https://agentmart.dev/skills/think520-course-learning (last updated 2026-10-24)