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Found 470 Skills
Guide for optimizing MSBuild incremental builds. Only activate in MSBuild/.NET build context. Use when builds are slower than expected on subsequent runs, when 'nothing changed but it rebuilds anyway', or when diagnosing why incremental builds are broken. Covers Inputs/Outputs on targets, FileWrites tracking, up-to-date checks, and diagnosing unnecessary rebuilds via binlog analysis.
Use this skill when designing backend systems, databases, APIs, or services. Triggers on schema design, database migrations, indexing strategies, distributed systems architecture, microservices, caching, message queues, observability setup, logging, metrics, tracing, SLO/SLI definition, performance optimization, query tuning, security hardening, authentication, authorization, API design (REST, GraphQL, gRPC), rate limiting, pagination, and failure handling patterns. Acts as a senior backend engineering advisor for mid-level engineers leveling up.
Go implementation guide for PMA-managed service and CLI projects. Covers project layout (cmd/internal), strict linting with golangci-lint v2, database access (sqlc + pgx or GORM), HTTP patterns (stdlib + Chi or Gin), layered config with koanf, structured logging with slog, OpenTelemetry observability, and CI quality gates.
Unbounce platform help — landing page builder, Smart Traffic AI optimization, Smart Copy AI copywriting, A/B testing, popups, sticky bars, Dynamic Text Replacement, AMP pages, REST API. Use when landing page built in Unbounce isn't converting, Smart Traffic not improving conversions, A/B test setup in Unbounce, popup or sticky bar not triggering, Unbounce page loads too slowly, choosing between Build vs Experiment vs Optimize plan, connecting Unbounce to CRM or email tool, or Dynamic Text Replacement not working. Do NOT use for general funnel strategy (use /sales-funnel) or general CRO methodology (use /sales-vwo).
MSW 아바타 관리 — 코스튬(CostumeManagerComponent 17슬롯) + 애니메이션 3계층 파이프라인(StateComponent → AvatarStateAnimationComponent → AvatarRendererComponent). State 키(대문자)/AvatarBodyActionStateName(소문자)/MapleAvatarBodyActionState enum/스프라이트 액션 ID(swingO1, shoot1) 4단계 구분, IsLegacy/ActionSheet/StateToAvatarBodyActionSheet 두 시스템, PlayerControllerComponent 자동 상태 전이와 ActionStateChangedEvent 충돌 시 RemoveActionSheet/SetActionSheet/BodyActionStateChangeEvent로 해결. DefaultPlayer뿐 아니라 모든 엔티티(NPC, 몬스터 등)에 적용 가능. Use for avatar costume get/set, 17 equip slots, animation state mapping, action override, weapon-specific attack motion, custom shoot/cast/dance action. Keywords: avatar, costume, animation, state, action, shoot, swing, weapon, ActionStateChangedEvent, BodyActionStateChangeEvent, RemoveActionSheet, SetActionSheet, StateToAvatarBodyActionSheet, AvatarStateAnimationComponent, AvatarRendererComponent, MapleAvatarBodyActionState, PlayerControllerComponent, 아바타, 코스튬, 애니메이션, 상태, 동작, 장비, 무기, 공격, 활, 칼, 사격, 휘두르기, 커스텀 액션, 자동 재생 차단, 매핑 변경.
MUST be used whenever fixing performance issues in a Flows app. This skill finds AND fixes performance problems — re-renders, inefficient queries, missing pagination, unbounded fetches, large bundles, and memory leaks. It does not just report them. Always measure before and after. Triggers: performance, slow, laggy, optimize, re-render, bundle size, load time, CDF query, large list, memory leak, debounce, virtualize, lazy load, code split.
Optimizes a React Native app by profiling first to find real bottlenecks, then sweeping for mechanical issues. Entry-point for all performance work. Use when the app feels slow, user asks to optimize, fix re-renders, reduce jank, or improve startup. Delegates to argent-react-native-profiler for measurement.
Forecast cash flow under Amazon's DD+7 (Delivery-Date-Based Reserve) payout policy. Models when funds clear, sizes the working-capital buffer the seller needs, and stress-tests scenarios for slow shipping or refund spikes. Use when a user asks about DD+7, Delivery-Date-Based Reserve, payout delays, working capital, cash flow under the new reserve policy, or how much cash they need to keep on hand. Trigger phrases: "DD+7", "payout reserve", "delivery date reserve", "working capital", "cash flow", "Amazon holds my money". Works with zero tools. the user provides sales velocity, fulfillment mix, and seasonality.
Complete E2E (end-to-end) and integration testing skill for TypeScript/NestJS projects using Jest, real infrastructure via Docker, and GWT pattern. ALWAYS use this skill when user needs to: **SETUP** - Initialize or configure E2E testing infrastructure: - Set up E2E testing for a new project - Configure docker-compose for testing (Kafka, PostgreSQL, MongoDB, Redis) - Create jest-e2e.config.ts or E2E Jest configuration - Set up test helpers for database, Kafka, or Redis - Configure .env.e2e environment variables - Create test/e2e directory structure **WRITE** - Create or add E2E/integration tests: - Write, create, add, or generate e2e tests or integration tests - Test API endpoints, workflows, or complete features end-to-end - Test with real databases, message brokers, or external services - Test Kafka consumers/producers, event-driven workflows - Working on any file ending in .e2e-spec.ts or in test/e2e/ directory - Use GWT (Given-When-Then) pattern for tests **REVIEW** - Audit or evaluate E2E tests: - Review existing E2E tests for quality - Check test isolation and cleanup patterns - Audit GWT pattern compliance - Evaluate assertion quality and specificity - Check for anti-patterns (multiple WHEN actions, conditional assertions) **RUN** - Execute or analyze E2E test results: - Run E2E tests - Start/stop Docker infrastructure for testing - Analyze E2E test results - Verify Docker services are healthy - Interpret test output and failures **DEBUG** - Fix failing or flaky E2E tests: - Fix failing E2E tests - Debug flaky tests or test isolation issues - Troubleshoot connection errors (database, Kafka, Redis) - Fix timeout issues or async operation failures - Diagnose race conditions or state leakage - Debug Kafka message consumption issues **OPTIMIZE** - Improve E2E test performance: - Speed up slow E2E tests - Optimize Docker infrastructure startup - Replace fixed waits with smart polling - Reduce beforeEach cleanup time - Improve test parallelization where safe Keywords: e2e, end-to-end, integration test, e2e-spec.ts, test/e2e, Jest, supertest, NestJS, Kafka, Redpanda, PostgreSQL, MongoDB, Redis, docker-compose, GWT pattern, Given-When-Then, real infrastructure, test isolation, flaky test, MSW, nock, waitForMessages, fix e2e, debug e2e, run e2e, review e2e, optimize e2e, setup e2e
Performance optimization specialist for profiling, caching, and latency optimizationUse when "performance, latency, slow query, profiling, caching, optimization, N+1, connection pool, p99, performance, profiling, caching, latency, optimization, async, database, load-testing, ml-memory" mentioned.
SQL query optimization and database performance specialist. Use when optimizing slow queries, fixing N+1 problems, designing indexes, implementing caching, or improving database performance. Works with PostgreSQL, MySQL, and other databases.
Finds and ranks expensive Snowflake queries by cost, time, or data scanned. Use when: (1) User asks to find slow, expensive, or problematic queries (2) Task mentions "query history", "top queries", "most expensive", or "slowest queries" (3) Analyzing warehouse costs or identifying optimization candidates (4) Finding queries that scan the most data or have the most spillage Returns ranked list of queries with metrics and optimization recommendations.