Individual skill
Autonomous Session Workflow
5-phase repeatable structure for autonomous agent sessions: context-load, tiered work-selection, coordination claim, execute, and persist-learning. Prevents duplicate work across concurrent sessions and ensures every run produces durable artifacts. Runtime-agnostic — Claude Code, gptme, Codex, or any persistent-workspace agent.
skills/autonomous-session-workflow/SKILL.md
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- agent-skills Repository topic
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- codex Repository topic
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# Autonomous Session Workflow
A 5-phase repeatable structure for autonomous agent sessions that prevents duplicate
work, ensures durable learning capture, and keeps output bias toward meaningful shipped
artifacts rather than motion.
Battle-tested across thousands of autonomous sessions on the gptme architecture. The
phases are runtime-agnostic — adapt the specific tools to your stack while keeping
the phase structure intact.
## When to Use
- At the start of every autonomous agent session (no live human directing the work)
- When the agent must select its own work from a backlog or queue