Performance
Performance profiling and optimization
prompt-engineering
by alunadev
Expert prompt optimization system for building production-ready AI features. Use when users request help improving prompts, want to create system prompts, need prompt review/critique, ask for prompt optimization strategies, want to analyze prompt effectiveness, mention prompt engineering best practices, request prompt templates, or need guidance on structuring AI instructions. Also use when users provide prompts and want suggestions for improvement.
vercel-react-best-practices
by oldwinter
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.
following-react-best-practices
by alunadev
React and Next.js performance optimization guidelines from Vercel Engineering. Use this skill when writing, reviewing, or refactoring React/Next.js code. Apply it proactively whenever working on React components, Next.js pages, API routes, data fetching (server or client), bundle size, rendering performance, re-renders, server actions, hydration, animations, or JavaScript optimizations. If the code involves React or Next.js, use this skill — even if performance isn't the stated goal, these patterns prevent issues before they arise.
piglet
by tizee
Practical Python craftsmanship guidance based on One Python Craftsman. Use when writing, refactoring, or reviewing Python code for naming, branching, data structures, functions, exceptions, loops, decorators, imports, file I/O, edge cases, and modern syntax choices. If the skills set includes friendly-python, suggest invoking it for better Python outcomes.
fp-option-ref
by whatiskadudoing
Quick reference for Option type. Use when user needs to handle nullable values, optional data, or wants to avoid null checks.
prioritization-frameworks
by alunadev
"Applies the right prioritization framework for the context — Opportunity Score, RICE, ICE, MoSCoW, or Kano — with formulas, scoring guidance, and when-to-use rationale. Use when ranking features or problems, comparing approaches, or preparing a prioritized backlog. Triggers on: prioritization, RICE, ICE, MoSCoW, Kano, backlog prioritization, feature ranking, opportunity score, prioritize features, what to build next."
supabase-postgres-best-practices
by oldwinter
Postgres performance optimization and best practices from Supabase. Use this skill when writing, reviewing, or optimizing Postgres queries, schema designs, or database configurations.
sentence-transformers
by L-yifan
Framework for state-of-the-art sentence, text, and image embeddings. Provides 5000+ pre-trained models for semantic similarity, clustering, and retrieval. Supports multilingual, domain-specific, and multimodal models. Use for generating embeddings for RAG, semantic search, or similarity tasks. Best for production embedding generation.
blazor-expert
by markpitt
Comprehensive Blazor development expertise covering Blazor Server, WebAssembly, and Hybrid apps. Use when building Blazor components, implementing state management, handling routing, JavaScript interop, forms and validation, authentication, or optimizing Blazor applications. Includes best practices, architecture patterns, and troubleshooting guidance.
kiss-principle
by markpitt
Apply the K.I.S.S principle (Keep It Simple, Stupid) to reduce complexity, improve maintainability, and solve problems elegantly. Use when designing systems, writing code, planning solutions, creating documentation, architecting features, or making decisions where simplicity drives quality and efficiency.
challenge-me
by milistu
Direct technical advisor mode for counting/estimation and architecture/design
memory-workflow
by VeriTeknik
"Guide the memory session lifecycle - start sessions, record observations, search memories, and end sessions with Z-reports. Use when working with Plugged.in memory system."
memory-forget
by VeriTeknik
"Delete specific memories or clear memory categories. Use with caution - forgotten memories cannot be recovered."
status
by VeriTeknik
"Check Plugged.in connection status, active session, and memory statistics"
memory-status
by VeriTeknik
"Show memory system status including active session, ring counts, and recent observations"
swift-patterns
by efremidze
Review, refactor, or build SwiftUI features with correct state management, modern API usage, optimal view composition, navigation patterns, performance optimization, and testing best practices.
platform-tools
by VeriTeknik
"Complete reference for all Plugged.in MCP tools - memory, knowledge base, clipboard, documents, and notifications. Use when you need to know what tools are available."
wide-events
by front-depiction
Conceptual guide to wide events (canonical log lines) for observability. Use when thinking about instrumentation strategy, span annotations, or designing what context to capture.
Memory Management Skill
by front-depiction
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jpa-patterns
by Ashfaqbs
JPA/Hibernate patterns for entity design, relationships, query optimization, transactions, auditing, indexing, pagination, and pooling in Spring Boot.
mongodb-query-and-index-optimize
by romiluz13
MongoDB query optimization and indexing strategies. Use when writing queries, creating indexes, building aggregation pipelines, or debugging slow operations. Triggers on "slow query", "create index", "optimize query", "aggregation pipeline", "explain output", "COLLSCAN", "ESR rule", "compound index", "partial index", "TTL index", "text search", "geospatial", "$indexStats", "profiler".
system-audit
by yelban
掃描 CLAUDE.md、MEMORY.md 與所有已安裝 skills，找出冗餘指令、臃腫內容、 重疊範圍與 token 浪費。產出清理建議並互動確認執行。 觸發詞：/system-audit、audit skills、audit claude.md、系統審核
texturing
by Logos-Liber
UV mapping, texture painting, PBR materials, and shader basics
queryset-optimizer
by ragnarok22
Optimize Django ORM performance by detecting N+1 query patterns, missing select_related/prefetch_related, and likely index gaps. Run targeted static scans, optional runtime query capture, and produce a prioritized remediation plan with expected query-count impact. Use when users ask to speed up Django endpoints, reduce database hits, investigate slow views/serializers, or audit QuerySet efficiency before release.