Permanent-delete grooming for leftover Docker builds, agent worktrees, and .next caches. Use when creating or finishing a git worktree, after a local docker build, when the disk is full, or when /tmp or .wt trees were left behind.
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安装前可以查看交给 AI 代理的指令内容。
The disk fills because agents build Docker images 20–30 times a day and
leave worktrees / .next trees behind. Deletes are permanent. Never
Trash.
Read the register: common-docs/operations/disk-grooming.md.
<repo>/.wt/<slug> only.python3 /Users/armanisadeghi/code/common-docs/meta/scripts/disk-groom/groom.py register <path> --purpose "<why>" --ttl-hours 24groom.py remove <path>. Not Finder. Not Trash.After the build (or after compose up):
python3 /Users/armanisadeghi/code/common-docs/meta/scripts/disk-groom/groom.py docker --apply
That keeps running containers and prunes unused images plus BuildKit cache down to 8 GB. Old SHA tags from the last twenty pushes are the thing that filled a 4 TB disk.
python3 /Users/armanisadeghi/code/common-docs/meta/scripts/disk-groom/groom.py daily --apply
Daily launchd already runs this at 04:15. Do not invent a second
cleaner. Do not mv anything to ~/.Trash.
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Admin debug system wiring for the floating AdminIndicator's live debug data and Copy Full Context. Use when adding debug visibility to a route or feature, wiring useDebugContext or the debug panel, capturing console errors, or enabling the copy-context workflow for a page.
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Compact two-icon Copy / Copy-for-AI controls (components/agent-copy). Use when adding copy buttons to a row, card, list, or record; merging duplicate Copy/JSON/AI controls; continuing the copy rollout; or writing a Copy-for-AI payload. NOT for markdown content actions (use rich-document-actions).
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Disclosing a surface's existing fixed AI jobs in the shell's top Agents menu. Use when a page, panel, overlay, or window already runs a mandate behind a button, assist, automatic action, or mode; when the agent-disclosure guard names a file; or during a surface check.
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The watch-fix-rerun method for making an existing platform agent or automated process efficient and correct: baseline its ledger, run one unit yourself, fix the class behind every wasted call, rerun, record. Use when asked to improve, optimize, watch, or 'make efficient' an agent, a sandbox session, a sync job, or any recurring automated process.
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Redux state for agent execution and firing agent shortcuts. Use when editing features/agents/redux/, building agent UI, creating a conversation, touching assembleRequest or NDJSON stream state, wiring agent-state selectors, adding a per-conversation capability, or triggering a shortcut from a button, menu, or code (useShortcutTrigger, launchAgentExecution).
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The provision for a call site: the exhaustive menu of values that place in the code can realistically produce. Use before creating or fixing a mandate or agent that reasons about more than its own input, when deciding whether an agent can answer at all with what it is sent, or when its output 'looks right' but nobody checked it could be. NOT for building the agent (use create-agent).
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