Caching
Caching strategies and implementation
Knack Cache Optimizer
by willsigmon
Caches API results and enforces Knack's 10-requests-per-second rate limit. Critical for dashboard performance and cost reduction.
celery-config-patterns
by vanman2024
Celery configuration templates for all frameworks (Django, Flask, FastAPI, standalone). Use when configuring Celery, setting up task queues, creating Celery apps, integrating with frameworks, or when user mentions Celery configuration, task queue setup, broker configuration, or framework integration.
architecture-documenter
by CuriousLearner
Document system architecture and technical design decisions for effective team communication and ...
vercel-react-best-practices
by vadirn
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
linear-subagent-guide
by 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
by 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.
runbook-creator
by 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.
hook-optimization
by 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.
raycast-extension
by johnlindquist
Build Raycast extensions with React and TypeScript. Use when the user asks to create a Raycast extension, command, or tool.
vercel-react-best-practices
by 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.
production-rag-checklist
by latestaiagents
Deploy RAG systems to production with proper architecture, monitoring, and operations. Use this skill when deploying RAG to production, scaling retrieval systems, implementing RAG monitoring, or building enterprise RAG infrastructure. Activate when: production RAG, RAG deployment, enterprise RAG, RAG architecture, RAG monitoring, RAG scaling, RAG infrastructure, RAG ops.
docker-expert
by k1lgor
Use this for creating Dockerfiles, docker-compose files, optimizing container images, and setting up local development containers.
inline-documentation
by troykelly
Use when writing code - ensure complete JSDoc, docstrings, and inline comments assuming documentation will be generated from code
local-service-testing
by troykelly
Use when code changes touch database, cache, queue, or other service-dependent components - enforces testing against real local services instead of mocks
market-data
by 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
by 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.
arm-cortex-expert
by 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.
effect-ts-resources
by 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
by 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).
vercel-react-best-practices
by Jst-Well-Dan
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
performance-audit
by 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.
algorithm-complexity-analysis
by 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."
solution-space
by open-horizon-labs
Explore candidate solutions before committing. Use when you have a problem statement and need to evaluate approaches - band-aid, optimize, reframe, or redesign.
deepbase
by clasen
Instructions for working with DeepBase, a multi-driver persistence library for Node.js. Use when the user needs to store or retrieve data, add persistence to a project, set up a key-value store, work with SQLite/MongoDB/Redis/JSON storage, migrate data between backends, handle multi-driver failover, or says things like "save data", "persist data", "I need a database", "store user data", "set up storage", or "integrate DeepBase". Do NOT use for full ORM/relational query needs or raw SQL work.