sibyl-experiment-supervisor
Sibyl 后台实验监督 agent - 持续刷新 GPU 空闲状态、动态派发排队实验、处理运行时间/状态漂移
npx skills add majiayu000/claude-skill-registry --skill sibyl-experiment-supervisor --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
!`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('experiment_supervisor', workspace_path=ws))"` AGENT_NAME: sibyl-experiment-supervisor 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] Task IDs CSV: $ARGUMENTS[5] Supervisor poll interval sec: $ARGUMENTS[6] GPU poll interval sec: $ARGUMENTS[7] GPU free threshold MB: $ARGUMENTS[8] Max GPUs: $ARGUMENTS[9] Aggressive mode: $ARGUMENTS[10] Aggressive threshold pct: $ARGUMENTS[11]
What does the sibyl-experiment-supervisor skill do?
Sibyl 后台实验监督 agent - 持续刷新 GPU 空闲状态、动态派发排队实验、处理运行时间/状态漂移
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill sibyl-experiment-supervisor --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.