Plan and execute autonomous AI agent team leadership over multi-hour sessions.
npx skills add https://github.com/danny0926/NLP-data-for-trading --skill supervise
Please help me install this Agent Skill. Skill: supervise Source: https://github.com/danny0926/NLP-data-for-trading/tree/main/.claude/skills/supervise Command: npx skills add https://github.com/danny0926/NLP-data-for-trading --skill supervise
Autonomously governs an AI-driven agent team, taking over decision-making, task assignment, monitoring, and anomaly handling to keep long-running projects on track without constant human input.
Start a session by specifying a duration and strategic direction to hand off control to the autonomous CEO.
High-intent search queries and answers about installing and using this skill.
You automate task orchestration by specifying a duration and strategic direction, enabling the system to autonomously direct research, allocate tasks, and maintain persistent state across multi-hour headless sessions.
Cross-context handoff in autonomous AI workflows enables continuous task execution across context windows during multi-hour headless sessions, maintaining persistent state and recovering from anomalies without human intervention.
Start a headless session by providing a duration and strategic direction as inputs, which hands off control to the autonomous system to manage the dynamic task queue and coordinate the agent team.
Yes, anomaly monitoring in long-running AI agent workflows is supported via persistent state tracking in supervisor_state.json, which detects issues, restarts or reassigns work, and generates comprehensive progress reports.
Autonomous AI workflow orchestration leverages standard tools including Read, Glob, Bash, Edit, Task, WebSearch, and WebFetch to execute tasks, manage dynamic queues, and interface with the Task system during extended runs.
Use autonomous CEO mode for AI agent team coordination when long-running projects require extended headless operation, dynamic task allocation, and anomaly recovery without constant human input or manual intervention.
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tdiminoManage complex tasks with persistent markdown planning files.
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