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v1.0.0
GitHub

About this Skill

Perfect for Advanced AI Research Agents needing autonomous self-evolution capabilities and native Claude Code integration. sibyl-supervisor is a fully autonomous AI research system with self-evolution capabilities, built on Claude Code, utilizing Python 3 and virtual environments.

Features

Utilizes Python 3 for execution and scripting
Leverages virtual environments (.venv) for dependency management
Employs the `render_skill_prompt` function from `sibyl.orchestrate` for skill rendering
Supports environment variable management through `os.environ`
Executes commands using the `.venv/bin/python3` interpreter
Integrates with the `sibyl-system` for autonomous AI research

# Core Topics

Sibyl-Research-Team Sibyl-Research-Team
[120]
[14]
Updated: 3/11/2026

Quality Score

Top 5%
30
Excellent
Based on code quality & docs
Installation
SYS Universal Install (Auto-Detect)
> npx killer-skills add Sibyl-Research-Team/sibyl-research-system/sibyl-supervisor
Supports 18+ Platforms
Cursor
Windsurf
VS Code
Trae
Claude
OpenClaw
+12 more

Agent Capability Analysis

The sibyl-supervisor MCP Server by Sibyl-Research-Team is an open-source community integration for Claude and other AI agents, enabling seamless task automation and capability expansion. Optimized for how to use sibyl-supervisor, sibyl-supervisor setup guide, sibyl-supervisor alternative.

Ideal Agent Persona

Perfect for Advanced AI Research Agents needing autonomous self-evolution capabilities and native Claude Code integration.

Core Value

Empowers agents to conduct comprehensive content analysis and AI experimentation within a fully autonomous environment, leveraging Python 3 and the sibyl.orchestrate library to render skill prompts and manage workspaces via the SIBYL_WORKSPACE variable.

Capabilities Granted for sibyl-supervisor MCP Server

Automating AI research workflows using the sibyl-supervisor skill
Generating autonomous AI experimentation environments with Claude Code
Debugging AI models within the sibyl-system framework

! Prerequisites & Limits

  • Requires Python 3 environment
  • Needs access to the SIBYL_WORKSPACE variable
  • Dependent on Claude Code native integration
Project
SKILL.md
350 B
.cursorrules
1.2 KB
package.json
240 B
Ready
UTF-8

# Tags

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SKILL.md
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!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 Advanced AI Research Agents needing autonomous self-evolution capabilities and native Claude Code integration. sibyl-supervisor is a fully autonomous AI research system with self-evolution capabilities, built on Claude Code, utilizing Python 3 and virtual environments.

How do I install sibyl-supervisor?

Run the command: npx killer-skills add Sibyl-Research-Team/sibyl-research-system/sibyl-supervisor. It works with Cursor, Windsurf, VS Code, Claude Code, and 15+ other IDEs.

What are the use cases for sibyl-supervisor?

Key use cases include: Automating AI research workflows using the sibyl-supervisor skill, Generating autonomous AI experimentation environments with Claude Code, Debugging AI models within the sibyl-system framework.

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 Python 3 environment. Needs access to the SIBYL_WORKSPACE variable. Dependent on Claude Code native integration.

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/sibyl-research-system/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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