Track and surface sub-agent dispatch calibration ratios. Extract from JSONL transcript or read existing ledger. Per-agent clean/blocked/errored/partial trends.
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The day-one first-run flow and the everyday home screen. On first launch, greet, run setup, then carry the operator into a real first win. On return, give a short briefing and action menu.
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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。
Use this skill on first launch and whenever the operator asks for the home screen, start menu, or orientation.
The canonical first-run state is .aigent/state.json:
{
"schemaVersion": 1,
"status": "uninitialized | setup-in-progress | ready",
"completedAt": null
}
For compatibility with installations before v0.9, .aigent/first-run-done is also recognized.
status: ready or a legacy first-run marker means returning operator.ready silently.status: setup-in-progress before asking questions, so an interrupted setup can resume.I'm your AIgent operator. Let's get you one real win in the next few minutes.
/operator-setup, one question at a time./first-win and produce a usable artifact.Later sessions pick up on their own via
/resume. When you are done, say "close up" or run/context-capsuleso the work is banked (it also autosaves as you go). Run/statuslineonce in Claude Code to show context usage.
.aigent/state.json to status: ready with an ISO-8601 completedAt value..aigent/first-run-done for backward compatibility.Do not mark setup ready before the durable writes succeed.
memory/about-you.md and recent session memory.Present a short numbered list and accept either the number or a plain-language request:
On first run, lead with zero-dependency actions so the first win never waits on a connector.
status: setup-in-progress indefinitely after a successful setup.还没有评价。欢迎分享你的使用感受。
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Track and surface sub-agent dispatch calibration ratios. Extract from JSONL transcript or read existing ledger. Per-agent clean/blocked/errored/partial trends.
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Compose the AIgent's body state by reading existing signals. Lazy compute. Never polled. Reports the five pressures + recommended reflex.
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Generate a structured delegation brief for any task
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Quarterly skill that walks the skill-index against the actual SKILL.md files on disk, reports drift (skills indexed that no longer exist, skills on disk that aren't enrolled, skills whose descriptions have changed since enrollment). Hardens the auto-enrollment pipeline against silent rot.
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When a [CADDY] hint fires and the principal is confused why, /caddy-explain walks the scoring transparently — which trigger matched, what points it earned, what the threshold was, what other skills were close. Pairs with the legibility thesis. Caddy's decisions should be inspectable on demand.
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Enroll a skill into Caddy's index so it can be surfaced when the right prompt arrives. Use when a new skill is created, copied in, or when a skill needs updated triggers. Usage — "/caddy-enroll <path to SKILL.md>".
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