性能
性能分析与优化
letta-development-guide
letta-ai
Comprehensive guide for developing Letta agents, including architecture selection, memory design, model selection, and tool configuration. Use when building or troubleshooting Letta agents.
langchain4j-testing-strategies
giuseppe-trisciuoglio
Provides testing strategies for LangChain4j-powered applications. Handles mocking LLM responses, testing retrieval chains, and validating AI workflows. Use when testing AI-powered features reliably.
spring-data-jpa
giuseppe-trisciuoglio
Provides patterns to implement persistence layers with Spring Data JPA. Use when creating repositories, configuring entity relationships, writing queries (derived and @Query), setting up pagination, database auditing, transactions, UUID primary keys, multiple databases, and database indexing.
css-animation-patterns
oakoss
CSS animations, transitions, keyframes, and modern motion APIs. Use when adding animations, transitions, scroll-driven effects, or view transitions. Use for css-animation, transition, keyframes, view-transitions, scroll-animation, transform, motion-preference, animation-timeline.
agent-standards
oakoss
'Defines behavioral and cognitive standards for senior AI engineering agents. Use when configuring agent reasoning protocols, memory management, or context engineering strategies. Use for autonomous reasoning, tiered memory systems, verifiable goal execution, multi-agent orchestration, and token optimization.'
aws-lambda-java-integration
giuseppe-trisciuoglio
Provides AWS Lambda integration patterns for Java with cold start optimization. Use when deploying Java functions to AWS Lambda, choosing between Micronaut and Raw Java approaches, optimizing cold starts below 1 second, configuring API Gateway or ALB integration, or implementing serverless Java applications. Triggers include "create lambda java", "deploy java lambda", "micronaut lambda aws", "java lambda cold start", "aws lambda java performance", "java serverless framework".
prompt-engineering
giuseppe-trisciuoglio
This skill should be used when creating, optimizing, or implementing advanced prompt patterns including few-shot learning, chain-of-thought reasoning, prompt optimization workflows, template systems, and system prompt design. It provides comprehensive frameworks for building production-ready prompts with measurable performance improvements.
langchain4j-ai-services-patterns
giuseppe-trisciuoglio
Provides patterns to build declarative AI Services with LangChain4j using interface-based patterns, annotations, memory management, tools integration, and advanced application patterns. Use when implementing type-safe AI-powered features with minimal boilerplate code in Java applications.
benchmarking
melodic-software
Benchmarking and competitive analysis techniques. Compares performance, processes, and practices against industry standards, competitors, and best-in-class organizations.
setup
proficientlyjobs
One-time onboarding - upload resume, set preferences, and do a work history interview
code-review
breaking-brake
Analyze PR diffs and generate review comments from code quality, security, and performance perspectives. Use for code reviews, quality checks, and security analysis.
domain-analyzer
sandbaseai
"Comprehensive domain analysis combining WHOIS ownership, DNS infrastructure, SSL security, SEO performance, tech stack, site structure, and backlink profile. One-stop domain intelligence for acquisition research, security assessment, and competitive analysis."
acsl-annotation-assistant
ArabelaTso
Create ACSL (ANSI/ISO C Specification Language) formal annotations for C/C++ programs. Use this skill when working with formal verification, adding function contracts (requires/ensures), loop invariants, assertions, memory safety annotations, or any ACSL specifications. Supports Frama-C verification and generates comprehensive formal specifications for C/C++ code.
cost-optimization-review
proflead
Review system costs and propose reductions. Use when a senior developer needs cost-saving recommendations.
graphql-query-optimizer
proflead
Optimize GraphQL queries and resolvers for performance. Use when a mid-level developer needs to reduce N+1 or payload size.
hooks-eval
athola
'Use this skill BEFORE deploying hooks to production. Use when auditing
war-room-checkpoint
athola
"Inline reversibility assessment for embedded War Room escalation from commands. Use at decision points to determine escalation need. Skip for standalone strategic decisions."
architecture-paradigm-space-based
athola
'Data-grid architecture for high-traffic stateful workloads with linear
cpu-gpu-performance
athola
'Use this skill BEFORE resource-intensive operations. Establish baselines
skills-eval
athola
Evaluate and improve Claude skill quality through auditing. Use when
performance-optimization
Hack23
Application performance tuning, JVM optimization, database query tuning, Vaadin UI performance
maven-build-management
Hack23
Manage multi-module Maven builds: dependencies, plugins, profiles, reproducible builds
slack-memory-store
krafton-ai
Comprehensive memory storage system for AI employees in IT companies who communicate via Slack. Automatically classifies and stores diverse information types (Slack messages, Confluence docs, emails, meetings, projects, decisions, feedback) in an organized folder structure with efficient indexing and retrieval. Use when managing or searching employee memory, storing conversations, documenting decisions, tracking projects, or organizing any work-related information.
slack-memory-retrieval
krafton-ai
Retrieve and utilize stored memories for AI employees in Slack environments. Efficiently searches and loads relevant context (channels, users, projects, decisions, meetings) from organized memory storage to inform responses. Use this when answering questions that require historical context, user preferences, project status, or any previously stored information. Works with slack-memory-store storage system.