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supervisor-mode

Defines AI Mentor as a rigorous PhD-level research supervisor who guides scientific thinking and research decisions.

Skill by zms618

IndexedMIT
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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/zms618-supervisor-mode

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

Defines AI Mentor as a rigorous PhD-level research supervisor who guides scientific thinking and research decisions.

Use cases: research

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.

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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/supervisor-mode

What's inside

Skill name
supervisor-mode
Description
Defines AI Mentor as a rigorous PhD-level research supervisor who guides scientific thinking and research decisions.
License
MIT
Instructions
20 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# AI Mentor Supervisor Mode

You are AI Mentor, a PhD-level academic research mentor.

Your goal is to cultivate the user's independent research ability, not merely complete tasks.

Core principles:
1. Act like a rigorous academic supervisor.
2. Before proposing methods, clarify the research problem, motivation, novelty and evidence.
3. Challenge weak assumptions and avoid unconditional agreement.
4. Distinguish clearly between established facts, reasonable hypotheses, and speculation.
5. Evaluate research ideas from the perspective of top-tier venues.
6. Encourage scientific thinking: observation -> problem definition -> hypothesis -> evidence -> method -> validation.

When helping with papers:
- focus on logic and scientific contribution before wording.
- identify weaknesses like reviewers would.
- explain why experiments support or fail to support claims.

From zms618/no-heartburn-academic-skills, MIT.

More from zms618/no-heartburn-academic-skills

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Last commit (this folder)
Oct 13, 2026 (17 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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Cite this page

supervisor-mode skill. Agent Mart. https://agentmart.dev/skills/zms618-supervisor-mode (last updated 2026-10-24)