Performance
Performance profiling and optimization
spice-accelerators
by spiceai
Configure data accelerators for local materialization and caching in Spice (Arrow, DuckDB, SQLite, Cayenne, PostgreSQL, Turso). Use when asked to "accelerate data", "enable caching", "materialize dataset", "configure refresh", "set up local storage", "improve query performance", "choose an accelerator", or "configure snapshots".
memory
by lidessen
Manages cross-session knowledge persistence. Triggers on "remember", "recall", "what did we", "save this decision", "todo", or session handoff.
react-developer
by paulund
Use when building React applications, including component creation, state management, and hooks.
swiftui-development
by ProjAnvil
Specialized in building user interfaces using modern SwiftUI, covering NavigationStack, Observation framework, and SwiftData integration.
monitoring-expert
by paulund
Use when setting up monitoring solutions, logging, metrics, tracing, and alerting for applications and infrastructure.
skmemory
by smilinTux
Universal AI memory system with emotional context, multi-layer persistence, and token-optimized loading. Use for memory snapshots, search, rehydration rituals, Telegram chat import, Cloud 9 seed import, journal, soul blueprints, and warmth anchors.
database-indexing
by 1Mangesh1
Database indexing strategies and query optimization. Use when user asks to "optimize queries", "create indexes", "database performance", "query analysis", "explain plans", "index selection", "slow queries", "database tuning", "schema optimization", or mentions database performance and query optimization.
databases
by vibery-studio
Work with MongoDB (document database, BSON documents, aggregation pipelines, Atlas cloud) and PostgreSQL (relational database, SQL queries, psql CLI, pgAdmin). Use when designing database schemas, writing queries and aggregations, optimizing indexes for performance, performing database migrations, configuring replication and sharding, implementing backup and restore strategies, managing database users and permissions, analyzing query performance, or administering production databases.
validation
by lidessen
Unified validation orchestration for code quality, consistency, and project health. Auto-triggers on code changes, PR creation, or explicit validation requests. Coordinates refining, housekeeping, and custom validators into cohesive pipelines. Use for "validate", "check", "verify", "验证", "检查", or when quality assurance is needed.
code-reviewer
by paulund
Use when reviewing code, pull requests, or auditing code quality and best practices.
web-performance
by 1Mangesh1
Web and frontend performance optimization. Use when user asks to "optimize performance", "improve loading time", "lazy loading", "code splitting", "bundle size", "Core Web Vitals", "image optimization", "CSS/JS minification", "caching strategies", "performance profiling", or mentions web performance and user experience metrics.
python-integrations-resilience
by ahgraber
Use when building or reviewing external API integrations in Python — designing client boundaries, defining outbound reliability policy, or structuring contract tests. Also use when provider SDK details leak into domain logic, outbound calls lack timeout/retry policy, or failure paths are untested.
sentry
by mikkelkrogsholm
"Sentry — application monitoring platform for error tracking, performance monitoring, session replay, profiling, and alerting. Use when building with Sentry or asking about SDK initialization, error capture, tracing, source maps, sampling, PII scrubbing, tunneling, or integration with Next.js, Node.js, or other JavaScript frameworks. Fetch live documentation for up-to-date details."
setup
by lidessen
Bootstrap agent working system for a new project. Triggers on "setup agent system", "initialize claude", "bootstrap project".
orientation
by lidessen
Orients agents in new projects by scanning entry documents and discovering capabilities. Use at session start, when entering unfamiliar territory, or when asking "what can you do" or "where do I start".
playwright-cli
by mikkelkrogsholm
Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.
persistent-memory
by liauw-media
"Use when working on long-running projects or needing context across sessions. Covers memory architecture, privacy controls, efficient retrieval, and integration with claude-mem plugin. Apply when building features that span multiple sessions or need historical context."
swiftui-development
by ProjAnvil
专注于使用 modern SwiftUI 构建用户界面，涵盖 NavigationStack, Observation 框架和 SwiftData 集成。
dash-research-vault
by Fearvox
"Multi-agent research vault with Evensong-style memory causation, Ebbinghaus decay, and L2 pressure self-evolution. Three-tier memory (public/restricted/internal), trigger-based agent activation, and 72-hour difficulty-weighted decay algorithm. For research teams building collaborative agent systems with structured long-term memory."
lighthouse-performance-optimization
by liauw-media
"Use when optimizing website performance. Run Google Lighthouse audits via MCP to measure metrics, identify bottlenecks, and iterate on improvements."
citadel-low-latency-systems
by copyleftdev
Build trading systems in the style of Citadel Securities, the world's largest market maker. Emphasizes ultra-low latency, deterministic execution, kernel bypass networking, and high-frequency trading infrastructure. Use when building latency-critical systems, market making engines, or high-performance trading platforms.
memory-integration
by troykelly
Use to maintain context across sessions - integrates episodic-memory for conversation recall and mcp__memory knowledge graph for persistent facts
readthedocs-build-optimization
by readthedocs
Optimize Read the Docs build performance and resource usage. Use when Read the Docs builds are slow, timing out, or hitting memory limits, or when users want to speed up builds by adjusting formats, dependencies, conda/mamba usage, or Python API documentation strategy.
dean-large-scale-systems
by copyleftdev
Design large-scale systems using Jeff Dean's pragmatic approach. Emphasizes performance intuition, building reliable systems from unreliable components, and solving problems at Google scale. Use when building infrastructure that must handle millions of QPS, petabytes of data, or global distribution.