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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Take a slice of the current conversation and promote it to a durable vault artifact — concept note, project update, person profile, or doctrine entry. Pairs with /close. /close writes the daily note (transient outcome record); /promote elevates specific insights to permanent vault content the framework can refer back to.
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实测评分 未实测
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The conversation is a substrate. Most of what happens in it is ephemeral — task-specific, session-bound, useful in the moment and gone after. But some exchanges produce durable insights: a new architectural understanding, a person fact worth remembering, a doctrine pattern emerging, a decision that should be logged.
Without /promote, those insights live in the conversation transcript and decay. With /promote, the principal can elevate them to vault content the framework will surface in future sessions.
Ask: which part of the conversation should become durable?
If the principal points to specific turns ("the last 10 messages about X"), use those. Otherwise:
Map the slice to a vault category:
| If the slice is about... | Promote to... |
|---|---|
| A new concept, doctrine, or pattern | vault/concepts/{slug}.md |
| A person (collaborator, advisor, contact) | vault/people/{name}.md |
| A project (current or new) | vault/projects/{slug}.md |
| A decision with reasoning | append entry to vault/memory/DECISION_LOG.md |
| A learning sweep on a tool/framework | vault/concepts/learning/{slug}.md (use /learn instead) |
| A person/process rejection with reasoning | append entry to vault/concepts/What I Am Not Building.md |
If the slice is about multiple categories, produce multiple artifacts. Don't bundle.
From the conversation slice, extract:
Drop:
Use the appropriate vault note structure (frontmatter with title/tags/created/aliases, then content). Cross-link to existing notes that the slice references.
Output:
✅ Promoted to vault/{path}.md
Cross-references added:
- [[Existing Note 1]]
- [[Existing Note 2]]
Open questions captured:
- {question 1}
- {question 2}
Update [[MOC]] or [[MEMORY]] if this is high-signal? (y/n)
If the principal says yes, append a one-line entry to the appropriate MOC or to MEMORY.md.
If the promoted artifact reflects a decision (not just an insight), also append a one-line entry to vault/memory/DECISION_LOG.md:
- 2026-04-27: {decision summary} → see [[promoted-artifact]]
This will trigger the decision-aging loop ([[Cost of Confidence]] sister doctrine) and surface 30/60/90-day check-ins via /open.
/close artifact) handles that. /promote is for selective elevation./promote extracts insights; it doesn't condense a long conversation. If the slice doesn't have a durable insight, don't promote — just let it stay in the transcript./close — writes the daily note (transient outcome record)/learn — sister skill for tool/framework evaluations specifically/decision-log (forthcoming) — sister skill for decisions specificallyvault/memory/MEMORY.md — the index that gets updated when promoted artifacts are high-signal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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