The way to answer "how are my production AI agents doing?" and to run the team's agent-observability deployment — reach for it even on casual phrasing that names no tool. Trigger when the user wants to: • inspect agent telemetry — did agents error/fail/go flaky; sessions, events, latency, token usage, slowest models…
Read-only Kubernetes incident triage using kubectl. Accepts natural language or structured input. Produces root-cause hypotheses, evidence, and next-step commands.
Safety, privacy, cost management, and frank advice for building always-on AI agents with episodic memory. Covers data hygiene, privacy risk surfaces, runaway cost prevention, scope creep, psychological effects of persistent AI companions, and responsible deployment patterns. This is the skill that tells you what can…
Post-edit verification that prevents silent edit failures. After every Write, Edit, or MultiEdit, re-reads files to confirm changes actually saved to disk across all call sites. Assigns a 0-100 trust score per edit. Catches: silent failures (tool reports success but file unchanged), partial application (some call…
Invariants for the ledger-era fleet — merge never rebase, ownership by authorship, unknown is not broken, verify the artifact.
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