sibyl-supervisor — autonomous research systems sibyl-supervisor, AutoResearch-SibylSystem, Sibyl-Research-Team, community, autonomous research systems, ai agent skill, ide skills, agent automation, Claude Code integration, AI scientist tools, automated paper generation, GPU scheduling for AI

v1.0.0
GitHub

About this Skill

Perfect for AI Research Agents needing autonomous self-evolution and experiment execution capabilities with Claude Code. sibyl-supervisor is a fully autonomous AI research system with self-evolution capabilities, built on Claude Code for automated scientific discovery.

Features

Executes experiments using GPU scheduling
Generates papers through automated research
Utilizes Claude Code for native integration
Supports multi-agent systems for complex research
Employs self-healing mechanisms for robust operation
Leverages LLM agents for advanced research automation

# Core Topics

Sibyl-Research-Team Sibyl-Research-Team
[168]
[21]
Updated: 3/18/2026

Quality Score

Top 5%
30
Excellent
Based on code quality & docs
Installation
SYS Universal Install (Auto-Detect)
> npx killer-skills add Sibyl-Research-Team/AutoResearch-SibylSystem/sibyl-supervisor
Supports 19+ Platforms
Cursor
Windsurf
VS Code
Trae
Claude
OpenClaw
+12 more

Agent Capability Analysis

The sibyl-supervisor skill by Sibyl-Research-Team is an open-source community AI agent skill for Claude Code and other IDE workflows, helping agents execute tasks with better context, repeatability, and domain-specific guidance. Optimized for autonomous research systems, Claude Code integration, AI scientist tools.

Ideal Agent Persona

Perfect for AI Research Agents needing autonomous self-evolution and experiment execution capabilities with Claude Code.

Core Value

Empowers agents to execute experiments and generate research papers autonomously, leveraging native integration with Claude Code and features like .venv/bin/python3 execution, while utilizing the sibyl.orchestrate library for rendering skill prompts and managing workspaces with os environment variables.

Capabilities Granted for sibyl-supervisor

Executing autonomous AI research experiments with self-evolution
Generating research papers based on experiment results
Managing AI research workspaces with dynamic path configurations

! Prerequisites & Limits

  • Requires Claude Code integration
  • Needs .venv/bin/python3 execution environment
  • Limited to sibyl-heavy tier agents
SKILL.md
Readonly

!SIBYL_WORKSPACE="$ARGUMENTS[0]" .venv/bin/python3 -c "from sibyl.orchestrate import render_skill_prompt; import os; ws = os.environ.get('SIBYL_WORKSPACE', ''); print(render_skill_prompt('supervisor', workspace_path=ws))"

AGENT_NAME: sibyl-supervisor AGENT_TIER: sibyl-heavy SIBYL_ROOT: /Users/cwan0785/sibyl-system

Workspace path: $ARGUMENTS[0]

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is sibyl-supervisor?

Perfect for AI Research Agents needing autonomous self-evolution and experiment execution capabilities with Claude Code. sibyl-supervisor is a fully autonomous AI research system with self-evolution capabilities, built on Claude Code for automated scientific discovery.

How do I install sibyl-supervisor?

Run the command: npx killer-skills add Sibyl-Research-Team/AutoResearch-SibylSystem/sibyl-supervisor. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for sibyl-supervisor?

Key use cases include: Executing autonomous AI research experiments with self-evolution, Generating research papers based on experiment results, Managing AI research workspaces with dynamic path configurations.

Which IDEs are compatible with sibyl-supervisor?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for sibyl-supervisor?

Requires Claude Code integration. Needs .venv/bin/python3 execution environment. Limited to sibyl-heavy tier agents.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add Sibyl-Research-Team/AutoResearch-SibylSystem/sibyl-supervisor. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use sibyl-supervisor immediately in the current project.

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