sibyl-supervisor — ai-agent sibyl-supervisor, AutoResearch-SibylSystem, community, ai-agent, ide skills, ai-for-science, ai-scientist, automated-science, autonomous-agents, autonomous-research

v1.0.0

Über diesen Skill

Perfekt für autonome KI-Forschungsagenten, die erweiterte Experimentdurchführung und automatisierte Wissenschaftsfähigkeiten benötigen. Fully Autonomous AI Research System with Self-Evolution, built natively on Claude Code

# Core Topics

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

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 7/11

This page remains useful for operators, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution
Review Score
7/11
Quality Score
30
Canonical Locale
en
Detected Body Locale
en

Perfekt für autonome KI-Forschungsagenten, die erweiterte Experimentdurchführung und automatisierte Wissenschaftsfähigkeiten benötigen. Fully Autonomous AI Research System with Self-Evolution, built natively on Claude Code

Warum diese Fähigkeit verwenden

Ermöglicht es Agenten, die Experimentdurchführung, die Erstellung von Artikeln und die GPU-Planung mit Claude Code zu rationalisieren, indem Python 3 und .venv-Umgebungen für effiziente Forschungsworkflows verwendet werden.

Am besten geeignet für

Perfekt für autonome KI-Forschungsagenten, die erweiterte Experimentdurchführung und automatisierte Wissenschaftsfähigkeiten benötigen.

Handlungsfähige Anwendungsfälle for sibyl-supervisor

Automatisieren der Experimentdurchführung für die Selbstentwicklung und die automatisierte Wissenschaft
Erstellen von Forschungsartikeln mit vereinfachter GPU-Planung
Fehlerbehebung komplexer KI-Forschungsworkflows mit Claude Code-Integration

! Sicherheit & Einschränkungen

  • Benötigt Python 3-Umgebung
  • Benötigt .venv-Umgebungssetup
  • Abhängig von Claude Code für die GPU-Planung

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.
  • - The underlying skill quality score is below the review floor.

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

After The Review

Decide The Next Action Before You Keep Reading Repository Material

Killer-Skills should not stop at opening repository instructions. It should help you decide whether to install this skill, when to cross-check against trusted collections, and when to move into workflow rollout.

Labs Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

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?

Perfekt für autonome KI-Forschungsagenten, die erweiterte Experimentdurchführung und automatisierte Wissenschaftsfähigkeiten benötigen. Fully Autonomous AI Research System with Self-Evolution, built natively on Claude Code

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: Automatisieren der Experimentdurchführung für die Selbstentwicklung und die automatisierte Wissenschaft, Erstellen von Forschungsartikeln mit vereinfachter GPU-Planung, Fehlerbehebung komplexer KI-Forschungsworkflows mit Claude Code-Integration.

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?

Benötigt Python 3-Umgebung. Benötigt .venv-Umgebungssetup. Abhängig von Claude Code für die GPU-Planung.

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.

! Reference-Only Mode

This page remains useful for installation and reference, but Killer-Skills no longer treats it as a primary indexable landing page. Read the review above before relying on the upstream repository instructions.

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

sibyl-supervisor

Install sibyl-supervisor, an AI agent skill for AI agent workflows and automation. Review the use cases, limitations, and setup path before rollout.

SKILL.md
Readonly
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Supporting Evidence

!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]

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