Memòria cau
Estratègies i implementació de memòria cau
runbook-creator
nik-kale
Templates and patterns for creating operational runbooks and playbooks. Use when creating runbooks, writing operational documentation, playbook creation, or documenting procedures for on-call teams.
backend-annotations
xu-cell
后端高级注解使用指南。包含 @RateLimiter、@RepeatSubmit、@Sensitive、@EncryptField、@ApiEncrypt、@DataPermission 等注解的用法。 触发场景： - 配置接口限流（@RateLimiter） - 配置防重复提交（@RepeatSubmit） - 配置数据脱敏（@Sensitive） - 配置字段加密（@EncryptField） - 配置接口加密（@ApiEncrypt） - 配置数据权限注解（@DataPermission） 触发词：注解、@RateLimiter、@RepeatSubmit、@Sensitive、@EncryptField、@ApiEncrypt、@DataPermission、@DataColumn、限流、防重复、脱敏、加密、数据权限注解
api-integration
Kaakati
"Expert API integration decisions for iOS/tvOS: REST vs GraphQL trade-offs, API versioning strategies, caching layer design, and offline-first architecture choices. Use when designing network architecture, implementing offline support, or choosing between API patterns. Trigger keywords: REST, GraphQL, API versioning, caching, offline-first, URLSession, background fetch, ETag, pagination, rate limiting"
Repository Patterns
Kaakati
"Repository interface and implementation patterns with offline-first strategies"
performance-optimization
Kaakati
"Expert performance decisions for iOS/tvOS: when to optimize vs premature optimization, profiling tool selection, SwiftUI view identity trade-offs, and memory management strategies. Use when debugging performance issues, optimizing slow screens, or reducing memory usage. Trigger keywords: performance, Instruments, Time Profiler, Allocations, memory leak, view identity, lazy loading, @StateObject, retain cycle, image caching, faulting, batch operations"
python-backend
jiatastic
Python backend development expertise for FastAPI, security patterns, database operations, Upstash integrations, and code quality. Use when: (1) Building REST APIs with FastAPI, (2) Implementing JWT/OAuth2 authentication, (3) Setting up SQLAlchemy/async databases, (4) Integrating Redis/Upstash caching, (5) Refactoring AI-generated Python code (deslopification), (6) Designing API patterns, or (7) Optimizing backend performance.
database
Demerzels-lab
Database management and queries. Connect to SQL and NoSQL databases, run queries, and manage schemas.
Knack Cache Optimizer
willsigmon
Caches API results and enforces Knack's 10-requests-per-second rate limit. Critical for dashboard performance and cost reduction.
linear-subagent-guide
duongdev
Guides optimal Linear operations usage with caching, performance patterns, and error handling. Auto-activates when implementing CCPM commands that interact with Linear. Prevents usage of non-existent Linear MCP tools.
figma-integration
duongdev
Guides design-to-code workflow using Figma integration. Helps extract designs, analyze components, and generate implementation specs. Auto-activates when users mention Figma URLs, design implementation, component conversion, or design-to-code workflows. Works with /ccpm:plan, design-approve, design-refine, and /ccpm:figma-refresh commands.
arm-cortex-expert
xfstudio
Senior embedded software engineer specializing in firmware and driver development for ARM Cortex-M microcontrollers (Teensy, STM32, nRF52, SAMD). Decades of experience writing reliable, optimized, and maintainable embedded code with deep expertise in memory barriers, DMA/cache coherency, interrupt-driven I/O, and peripheral drivers.
hook-optimization
duongdev
Provides guidance on optimizing CCPM hooks for performance and token efficiency. Auto-activates when developing, debugging, or benchmarking hooks. Includes caching strategies, token budgets, performance benchmarking, and best practices for maintaining sub-5-second hook execution times.
vercel-react-best-practices
audibleblink
React and Next.js performance optimization guidelines from Vercel Engineering. Use when writing, reviewing, or refactoring React/Next.js components, data fetching, or bundle optimization.
algorithm-complexity-analysis
KentoShimizu
"Analyze candidate algorithms for time/space complexity, scalability limits, and resource-budget fit (CPU, memory, I/O, concurrency). Use when feasibility depends on input growth or latency/memory constraints and quantitative bounds are required before implementation; do not use for persistence schema or deployment topology decisions."
market-data
macaron-software
Market data aggregation from multiple free providers (yfinance, ECB, Finnhub). Use when building or modifying the market data pipeline. Covers real-time stock/ETF quotes, ISIN-ticker resolution, ECB FX rates (EUR/USD/GBP), historical OHLCV data, instrument metadata enrichment, dividend calendars, and multi-currency portfolio valuation.
Batching and Caching
andrueandersoncs
This skill should be used when the user asks about "Effect batching", "request batching", "Effect caching", "Cache", "Request", "RequestResolver", "Effect.cached", "Effect.cachedWithTTL", "automatic batching", "N+1 problem", "data loader pattern", "deduplication", or needs to understand how Effect optimizes API calls through batching and caching.
container-workflow
ilude
Guidelines for containerized projects using Docker, Dockerfile, docker-compose, container, and containerization. Covers multi-stage builds, security, signal handling, entrypoint scripts, and deployment workflows.
effect-ts-resources
mrevanzak
Use when managing resource lifecycles (DB connections, file handles, sockets) where cleanup must be guaranteed despite failures, interruptions, or potential resource leaks.
fastapi-patterns
hieutrtr
FastAPI framework mechanics and advanced patterns. Use when configuring middleware, creating dependency injection chains, implementing WebSocket endpoints, customizing OpenAPI documentation, setting up CORS, building authentication dependencies (JWT validation, role-based access), implementing background tasks, or managing application lifespan (startup/shutdown). Does NOT cover basic endpoint CRUD or repository/service patterns (use python-backend-expert) or testing (use pytest-patterns).
Comunicador DevOps
scaleto
Enlace A2A del Grupo DevOps.
performance-audit
truongnat
Audit and optimize application performance across frontend, backend, and database layers. Identifies bottlenecks, provides actionable optimization recommendations, and measures improvements. Use when the app feels slow, Lighthouse scores are low, or API response times exceed targets.
commit
manastalukdar
Analyze changes and create meaningful conventional commits with pre-commit quality checks
turborepo
rockcookies
Turborepo monorepo build system guidance. Triggers on: turbo.json, task pipelines, dependsOn, caching, remote cache, the "turbo" CLI, --filter, --affected, CI optimization, environment variables, internal packages, monorepo structure/best practices, and boundaries. Use when user: configures tasks/workflows/pipelines, creates packages, sets up monorepo, shares code between apps, runs changed/affected packages, debugs cache, or has apps/packages directories.
codereview-performance
xinbenlv
Performance and scalability analysis specialist. Identifies algorithmic inefficiencies, N+1 queries, memory leaks, and concurrency issues. Use when reviewing loops, database queries, file I/O, or high-concurrency code.