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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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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실행 점수 미검증
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Enroll a skill into Caddy's skill-index.json so prompts matching the skill's triggers surface it as a hint.
/skills-builder) and needs to join the index.claude/skill-index.json first)$1 = path to the skill's SKILL.md or .md file. If omitted, ask which skill.
Read the full SKILL.md at the given path. Parse:
name: frontmatter field, or the filename stemdescription: frontmatter field, or first heading/lineProduce this five-field structure:
- what: <one-line what it does>
- triggers: <comma-separated keywords/intents a prompt matcher could catch — 6-12 items, mix multi-word phrases and single keywords>
- use_cases: <3-5 concrete "when user says X, use this">
- anti_cases: <1-3 "do NOT use when...">
- related: <comma-separated related skills from the existing index>
Trigger quality rules:
Anti-case quality:
Read .claude/skill-index.json (relative to AIGENT_ROOT).
If a skill with this name already exists: update its triggers and why — don't clobber triggers the user added manually.
If it's new: append a new entry with {name, triggers, why}.
Validate the file is still valid JSON before writing.
Run:
echo '{"prompt":"<test prompt that should trigger this skill>"}' | bash $AIGENT_ROOT/daemons/caddy.sh
Confirm the [CADDY] /<name> - <why> hint surfaces. If not, tune the triggers and retry.
Report:
Enrolled: /<skill-name>
Triggers: <count> (<short list>)
Test: "<prompt>" → [CADDY] /<name> ✓
If the test failed or triggers need work:
Enrolled with warning: triggers need tuning
Test: "<prompt>" → no match
Suggested fix: add trigger "<candidate>"
Every skill the framework can execute must be enrolled here. Skipping enrollment = skill sits in the golf bag unlabeled. Caddy can't hand it to the AIgent if it's not indexed.
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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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Mute a Caddy hint class for a window. Defaults to 4h auto-expiry. Classes — memory, context, body, routing, all.
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