Use when manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
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Use when long-running or parallel agent work must respect 5-hour and weekly usage limits: check usage between waves, pause near the cap.
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实测评分 未实测
查看安装方法安装前可以查看交给 AI 代理的指令内容。
Keep long-running agent work inside the current 5-hour and weekly usage windows. Check usage before launching substantial work and between waves of parallel subagents. If an active 5-hour or weekly limit is at or above 95%, pause new work until the window is clear enough to continue safely.
Prefer a first-party host usage tool when available. In Claude Code, use:
npx -y ccusage@20.0.26 blocks --active --json
Use the JSON to identify the active block start, current cost or percentage, and time remaining. On wake, compare the active block start timestamp with the previous one; a new timestamp is stronger evidence than "enough time passed."
If the tool reports cost instead of a direct percentage, convert through the current account limit when known. For Claude Max-style 5-hour blocks, some users prefer an earlier caution threshold around $500-550; treat that as a user-configured guardrail, not a universal rule. The default stop rule is still 95% of the active 5-hour or weekly limit.
When a wake/resume tool is available, schedule a wakeup for:
min(3600, secondsUntilWindowClears)
If the runtime clamps wake delays to 60-3600 seconds, chain wakeups for longer waits. Each wakeup should re-check usage, reschedule if still over budget, and continue only when the window is safely below the threshold.
Make wake prompts self-contained. Include:
Avoid short-interval polling for things the host will notify you about, such as background task or subagent completion. For budget pauses, a prompt-cache miss after a long sleep is acceptable; preserving the limit matters more.
If you pause, tell the user which window is over threshold, the observed usage, when you scheduled or expect the next check, and what work remains. Keep enough state in the wake prompt that the next turn can resume without relying on conversation momentum.
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Use when manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
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Use when a hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).
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How BDB structures multi-agent build pipelines: the seven-node dispatcher graph /fabric-graph runs. Use for lifecycle framing.
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Design tools for AI agents. Use when building agent tools: covers schema, error handling, and avoiding hallucination and silent failure.
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Harness patterns for coding agents — memory, permissions, context engineering, delegation, skills, hooks, bootstrap.
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agenttrail: the live map of a multi-agent build. Use when a /fabric pipeline runs, a plan-canvas approve lands, or agents run for a human to watch.
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