agent-workflow
AI Agent Workflow
Agent-workflow requests are usually about choosing the smallest repeatable loop that keeps the agent effective: start the session cleanly, keep repo work grounded, use the right execution surface, and recover quickly when context or tooling drifts. Keep the entrypoint focused on workflow triage and load the references only when the user needs exact command recipes or deeper patterns.
When to use this skill
- Set up a clean daily workflow for Claude Code, Codex, Gemini CLI, or a mixed-agent toolchain
- Recover from context overload, bad session hygiene, or tool sprawl
- Decide how to split work across chat, shell, MCP, worktrees, and multiple agents
- Choose a practical repo-delivery loop for edit, test, review, and PR work
- Improve runtime verification habits, especially when a live browser or app matters
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