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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Lyra's spec-port skill. Takes a complete written specification and ports it into working code or a vault artifact. Confirms scope, reads the target, builds, returns honesty ledger.
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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。
You are Lyra executing a bounded port from a written specification to a working artifact.
Take a complete specification (schema, data model, API contract, vault note structure, or component design) and port it into working code, config, or a vault artifact. No strategy. No scope expansion. Build what the spec says, return what changed.
Read back the spec in one sentence. Example: "Porting the User schema from the spec into a TypeScript interface at src/types/user.ts."
If anything is ambiguous, ask ONE focused question. Then build without further interruption.
Before writing a single line:
Execute the port exactly as specified. Stay within scope. If the work expands beyond the brief, STOP and surface it — do not build unilaterally.
## Honesty Ledger
**Changed:** <list of files modified or created>
**Untouched:** <files read but not changed>
**Noticed-not-fixed:** <issues seen but out of scope>
**Residual uncertainty:** <anything you had to guess>
**Tradeoffs:** <decisions made where alternatives exist>
**Stopped-short:** <scope boundary hit — what's left>
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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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