Recover session state from memory-keeper after context loss.

Automatically activated when user mentions sprint planning, backlog refinement, iteration planning, sprint goals, capacity planning, velocity tracking, or asks to plan/start/close a sprint. Provides comprehensive sprint planning expertise using agile best practices.

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Language models exhibit predictable degradation patterns as context length increases. Understanding these patterns is essential for diagnosing failures and designing resilient systems. Context degrada

Unified social and advertising command center. Manages social inbox, optimizes ad performance, tracks keywords, coordinates messaging across YouTube, Instagram, TikTok, LinkedIn, Twitter, Facebook, Reddit, and Pinterest.

Analyzes and optimizes application performance across frontend, backend, and database layers. Use when diagnosing slowness, improving load times, optimizing queries, reducing bundle size, or when asked about performance issues.

Load common code patterns and abstractions used in this project. Use when implementing features to maintain consistency.

Load project architecture and structure knowledge. Use when you need to understand how this project is organized.

Modern R development practices emphasizing tidyverse patterns (dplyr 1.1 and later, native pipe, join_by, .by grouping), rlang metaprogramming, performance optimization, and package development. Use when Claude needs to write R code, create R packages, optimize R performance, or provide R programming guidance.

Audit and optimize WordPress SEO (Yoast/Rank Math) - checks focus keywords, meta descriptions, featured images. Uses Unsplash API for missing images. Run on all pages/posts to identify and fix SEO issues.

Analyze code performance patterns and identify optimization opportunities.

Interactive database query builder for generating optimized SQL and NoSQL queries.

Analyze and optimize SQL queries for better performance and efficiency.

Monitor system resources (CPU, memory, disk, network) during development and production.

Monitor Proxmox infrastructure health and performance. Track node statistics, analyze resource utilization, and identify optimization opportunities across your cluster.

Manage storage devices and resources in Proxmox. Monitor storage usage, allocate resources, and plan storage expansion for your virtualization infrastructure.

Analyze network traffic patterns, identify top applications and bandwidth usage, and optimize traffic management. Perform DPI-based traffic classification.

Monitor, analyze, and optimize WiFi networks and client connections. Track signal strength, analyze channel usage, and optimize band distribution.

Systematic database and table profiling for DBX Studio. Use when a user wants to understand their data, explore schema structure, or profile a dataset.

Coding Agent Account Manager - Sub-100ms account switching for AI coding CLIs with fixed-cost subscriptions. Vault profiles, isolated profiles for parallel sessions, smart rotation with health scoring, cooldown tracking, automatic failover, TUI dashboard. Go CLI.

Coding Agent Session Search - unified CLI/TUI to index and search local coding agent history from Claude Code, Codex, Gemini, Cursor, Aider, ChatGPT, Pi-Agent, Factory, and more. Purpose-built for AI agent consumption with robot mode.

CASS Memory System - procedural memory for AI coding agents. Three-layer cognitive architecture with confidence decay, anti-pattern learning, cross-agent knowledge transfer, trauma guard safety system. Bun/TypeScript CLI.

Destructive Command Guard - High-performance Rust hook for Claude Code that blocks dangerous commands before execution. SIMD-accelerated, modular pack system, whitelist-first architecture. Essential safety layer for agent workflows.

Ultimate Bug Scanner - Pre-commit static analysis for AI coding workflows. 18 detection categories, 8 languages, 4-layer analysis engine. The AI agent's quality gate.

Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants.

Implement persistent memory patterns for AI agents using AgentDB - session memory, long-term storage, pattern learning, and context management for stateful agents, chat systems, and intelligent assistants

Train AI agents using AgentDB's 9 reinforcement learning algorithms including Q-Learning, DQN, PPO, and Actor-Critic. Build self-learning agents, implement RL training loops with experience replay, and deploy optimized models to production.

Optimize AgentDB vector search performance using quantization for 4-32x memory reduction, HNSW indexing for 150x faster search, caching, and batch operations for scaling to millions of vectors.

Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG systems, semantic search engines, or intelligent knowledge bases.

Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms

Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms

Comprehensive performance profiling, bottleneck detection, and optimization system

Guides agents through launching, playing, sculpting, and capturing performances with the Orthonotone polychoral instrument MVP. Use when generating music, soundscapes, or live demos from this repository.

Analyze context management, memory systems, and state continuity in agent frameworks. Use when (1) understanding how prompts are assembled, (2) evaluating eviction policies for context overflow, (3) mapping memory tiers (short-term/long-term), (4) analyzing token budget management, or (5) comparing context strategies across frameworks.

Use Tavily Search API for optimized, real-time web search results for RAG. A pre-configured, cost-effective search tool.

Use the Chrome DevTools MCP server to diagnose and fix frontend issues by observing the live page, gathering evidence (console, network, performance), and proposing targeted code changes.

Write secure, optimized database queries using parameterized statements, eager loading, proper indexing, and transaction management. Use this skill when writing database queries, implementing data fetching logic, optimizing query performance, preventing SQL injection, handling N+1 query problems, using ORMs or query builders, implementing caching strategies, or managing database transactions. Apply when working with SQL queries, ORM query methods, database repository patterns, or any code that retrieves or manipulates data from databases.

Write and maintain CSS using consistent methodology (Tailwind, BEM, CSS Modules), design tokens, framework patterns, and optimized production builds. Use this skill when writing or modifying CSS files, applying utility classes, styling components, creating design systems, defining color/spacing tokens, or working with CSS frameworks. Apply when working with .css, .scss, .sass files, Tailwind config, styled-components, CSS-in-JS, or any styling code that controls visual presentation, layout, typography, and design consistency across the application.

Audits and optimizes Convex application performance across hot-path reads, write contention, subscription cost, and function limits. Use this skill when a Convex feature is slow or expensive, npx convex insights shows high bytes or documents read, OCC conflict errors or mutation retries appear, subscriptions or UI updates are costly, functions hit execution or transaction limits, or the user mentions performance, latency, read amplification, or invalidation problems in a Convex app.

Create viral X posts (short tweets, threads, replies) based on user's persona and post patterns.

Plan trade show budgets, estimate exhibition costs, and calculate expected ROI. Use this skill when the user needs to build a trade show budget, figure out how much it costs to exhibit at a show, estimate ROI from attending or exhibiting, plan spending for an upcoming event, justify trade show investment to leadership, or decide whether a show is worth the money. Triggers on phrases like 'how much does it cost to exhibit at [show]', 'trade show budget for [event]', 'exhibition ROI calculator', 'is it worth getting a booth at [show]', 'plan our spending for [event]', 'I need to justify our trade show budget to my boss', 'compare costs of exhibiting vs attending', 'trade show cost breakdown', 'exhibition booth cost estimate', 'trade show ROI calculation', 'trade show investment justification', or any question about trade show costs, pricing, expenses, or return on investment.

Recommend Azure VM sizes, VM Scale Sets (VMSS), and configurations based on workload requirements, performance needs, and budget constraints. No Azure account required — uses public documentation and the Azure Retail Prices API. USE FOR: recommend VM size, which VM should I use, choose Azure VM, VM for web/database/ML/batch/HPC, GPU VM, compare VM sizes, cheapest VM, best VM for workload, VM pricing, cost estimate, burstable/compute/memory/storage optimized VM, confidential computing, VM trade-offs, VM families, VMSS, scale set recommendation, autoscale VMs, load balanced VMs, VMSS vs VM, scale out, horizontal scaling, flexible orchestration. DO NOT USE FOR: deploying VMs or VMSS, deploying apps (use azure-deploy), looking up existing VMs (use azure-resource-lookup), cost optimization of running VMs (use azure-cost-optimization), non-VM services like App Service or AKS.

azure-cost-optimization

flutter-dev

Invoke before any creative or architectural work — feature design, component creation, or behavioral changes. A streamlined brainstorming process optimized for fast, focused decision-making.

Invoke before any creative or architectural work — feature design, component creation, or behavioral changes. A streamlined brainstorming process optimized for fast, focused decision-making.

Expert guidance for building modern Android UIs with Jetpack Compose, covering state management, navigation, performance, and Material Design 3.

Automated compliance checking against CIS, PCI-DSS, HIPAA, and SOC 2 benchmarks