Skill254 estrellas del repoactualizado 2mo ago

sibyl-experimenter

The sibyl-experimenter skill automates experimental execution by generating and running Python code on remote GPU servers. Use this when conducting machine learning research or computational experiments that require distributed processing, specifying the workspace path, execution mode, SSH connection details, GPU allocation, and optional task filtering to control which experiments execute.

Ver fuente Repositorio: AutoResearch-SibylSystem

Instalar en Claude Code

Copiar

git clone --depth 1 https://github.com/Sibyl-Research-Team/AutoResearch-SibylSystem /tmp/sibyl-experimenter && cp -r /tmp/sibyl-experimenter/.claude/skills/sibyl-experimenter ~/.claude/skills/sibyl-experimenter

Después abre una sesión nueva de Claude Code; el skill carga automáticamente.

Definición

SKILL.md

!`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('experimenter', workspace_path=ws))"`

AGENT_NAME: sibyl-experimenter
AGENT_TIER: sibyl-standard
SIBYL_ROOT: /Users/cwan0785/sibyl-system

Workspace path: $ARGUMENTS[0]
MODE: $ARGUMENTS[1]
SSH server: $ARGUMENTS[2]
Remote base: $ARGUMENTS[3]
Remote env command: $ARGUMENTS[4]
GPU IDs: $ARGUMENTS[5]
Optional --tasks: $ARGUMENTS[6] (if present, format: --tasks=task_1a,task_1b)

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