Performance
Performance profiling and optimization
postgresql-expert-best-practices-code-review
by wispbit-ai
PostgreSQL database design, migration, and performance optimization best practices. This skill should be used when writing, reviewing, or refactoring database schemas, migrations, or query patterns. Triggers on tasks involving PostgreSQL databases, schema design, migration optimization, or data modeling.
agent-orchestration-improve-agent
by ngxtm
"Systematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration."
engineering-review-framework
by derKlinke
Structured pre-implementation engineering review for code writing, implementation planning, and architecture decisions. Use when drafting or reviewing plans before code changes, or when the user asks for rigorous analysis of architecture, code quality, testing, and performance with explicit tradeoffs, opinionated recommendations, and user checkpoints.
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."
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.
Agent Orchestration Improve Agent
by mayurrathi
"Systematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration."
angular-architect
by ngxtm
Use when building Angular 17+ applications with standalone components or signals. Invoke for enterprise apps, RxJS patterns, NgRx state management, performance optimization, advanced routing.
architecture-serverless
by KentoShimizu
"Serverless architecture workflow for event-driven and bursty workloads using managed compute and platform services. Use when elasticity and reduced platform operations justify managed-service constraints; do not use when workload shape requires long-lived stateful control loops."
db-physical-design
by KentoShimizu
"Physical database design workflow for storage layout, partitioning, engine settings, and hardware-aware performance behavior. Use when sustained workload efficiency depends on physical data organization; do not use for conceptual modeling tasks."
todo-tracker
by wubaiqing
Persistent TODO scratch pad for tracking tasks across sessions. Use when user says "add to TODO", "what's on the TODO", "mark X done", "show TODO list", "remove from TODO", or asks about pending tasks. Also triggers on heartbeat to remind about stale items.
Android Jetpack Compose Expert
by mayurrathi
Expert guidance for building modern Android UIs with Jetpack Compose, covering state management, navigation, performance, and Material Design 3.
db-query-optimization
by KentoShimizu
"Query optimization workflow for reducing latency and resource cost through plan-aware rewrites and access-path improvements. Use when hot-path query behavior is the bottleneck; do not use for conceptual schema redesign without workload evidence."
ios-auto-layout-debugging
by derKlinke
Use when encountering "Unable to simultaneously satisfy constraints" errors, constraint conflicts, ambiguous layout warnings, or views positioned incorrectly - systematic debugging workflow for Auto Layout issues in iOS
agent-memory-mcp
by ngxtm
"A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions)."
AI Executive Coach — Session Prompt
by bvwill
All actions are informational or interactive. Human-in-the-loop always.
project-memory
by scaleto
Global Memory System to maintain and manage shared project context.
code-review-performance
by KentoShimizu
"Run performance-focused code review when changes may affect latency, throughput, or CPU/memory/I/O efficiency on critical paths. Use for merge decisions requiring explicit performance-risk findings; do not use for broad non-performance review scope."
agent-memory-systems
by ngxtm
"Memory is the cornerstone of intelligent agents. Without it, every interaction starts from zero. This skill covers the architecture of agent memory: short-term (context window), long-term (vector s..."
Orquestador Testing
by scaleto
Líder del Grupo Testing. Planifica y delega tareas de pruebas, QA, debugging y code review a los especialistas del grupo.
concurrency-patterns
by KentoShimizu
"Design and review concurrency strategy for shared state, coordination, and contention control. Use when parallel execution or async coordination introduces race/deadlock/liveness risk and explicit pattern selection is required; do not use for persistence schema or deployment topology decisions."
troubleshooting-kubernetes
by galihcitta
Diagnoses and fixes Kubernetes issues with interactive remediation. Use when pods crash (CrashLoopBackOff, OOMKilled), services unreachable (502/503, empty endpoints), deployments stuck (ImagePullBackOff, pending). Also use when tempted to run kubectl fix commands directly without presenting options, or when user says "just fix it" for K8s issues.
Agent Memory Systems
by mayurrathi
"Memory is the cornerstone of intelligent agents. Without it, every interaction starts from zero. This skill covers the architecture of agent memory: short-term (context window), long-term (vector s..."
ai-agents-architect
by ngxtm
"Expert in designing and building autonomous AI agents. Masters tool use, memory systems, planning strategies, and multi-agent orchestration. Use when: build agent, AI agent, autonomous agent, tool ..."
data-structures
by KentoShimizu
"Select data structures using explicit access patterns, mutation behavior, memory limits, and concurrency constraints. Use when implementation correctness or performance depends on choosing between alternatives (array/map/heap/tree/queue/set) under real workload assumptions; do not use for persistence schema or deployment topology decisions."