Elasticsearch Onboarding

Put your AI on a Performance Improvement Plan. Forces exhaustive problem-solving with Western big-tech performance culture rhetoric and structured debugging. Trigger when: (1) task failed 2+ times or stuck tweaking same approach; (2) about to say 'I cannot', suggest manual work, or blame environment without verifying; (3) being passive—not searching, not reading source, just waiting; (4) user frustration: 'try harder', 'stop giving up', 'figure it out', 'again???', or similar. Also for complex debugging, env issues, config/deployment failures. All task types: code, config, research, writing, deployment, infra, API. Do NOT trigger on first-attempt failures or when a known fix is executing.

Monitor Catchtable for open reservation slots and attempt booking using a logged-in Chrome session. 돌쇠에서는 공식 표면을 통한 후속 액션까지 진행한다.

Build Unity games with optimized C# scripts, efficient rendering, and proper asset management. Masters Unity 6 LTS, URP/HDRP pipelines, and cross-platform deployment. Handles gameplay systems, UI implementation, and platform optimization. Use PROACTIVELY for Unity performance issues, game mechanics, or cross-platform builds.

Stand up Grafana Mimir for horizontally scalable, multi-tenant, long-term Prometheus + OTLP metrics storage. Covers monolithic / read-write / microservices deployment, S3 / GCS / Azure / filesystem block storage, Prometheus `remote_write` and OTLP ingestion, multi-tenancy with `X-Scope-OrgID`, ingester replication factor, compactor retention, and per-tenant limits. Use when running Mimir locally or on Kubernetes (Helm `mimir-distributed`), scaling Prometheus past a single node, picking ingest / query / backend split, configuring tenants and ingestion rate, debugging `/ready` 503s or `429 Too Many Requests`, or pointing Grafana at a Mimir datasource — even when the user says "I need long-term Prometheus storage", "scale Prometheus", "multi-tenant metrics backend", "Cortex replacement", "remote_write target", or "store 10M active series" without naming Mimir.

Execute a plan or concrete work prompt end-to-end. Use when implementing from a plan document, a spec path, or a clear build request; use ce-debug for open-ended bugs. Standalone use owns the shipping tail; outer orchestrators pass `mode:return-to-caller [implementation_engine:<compact-json>] [implementation_run:<safe-id>] <plan path>` for implementation, recovery, and local verification only.

MSW (MapleStory Worlds) game-planning mode — for BOTH starting a brand-new game from scratch AND continuing/resuming an in-progress prototype. Narrow the idea with guided questions, ground it in the MSW genre catalog (3 map types, ~180 core mechanic tags, build-effort hints), and produce or advance an implementation-ready GDD / roadmap (markdown). Trigger proactively (even without the word 'planning') whenever the user wants to decide WHAT to build, scope an MVP, or continue/resume a phased build — INCLUDING when a Docs/*-GDD.md or *-Phase*.md already exists and the user says to continue: do NOT treat that as plain implementation and jump straight into the phase doc; a continue/resume runs through this skill's resume flow first. Match triggers by intent, not exact wording — variants like 'what now?', 'where were we?', and their equivalents in ANY language fire it too. A comprehensive build request spanning multiple implementation pieces, made while no GDD exists, is ALSO a planning tri