Runs diagnostic analysis on Kubernetes clusters using kubectl, k9s terminal UI data, and the Troubleshoot.sh support-bundle collector framework.
Score 70/100
Multi-cluster Kubernetes dashboard with AI-powered operations via MCP server and 10+ built-in agent skills
Score 70/100
Kumo development assistant for MySQL database management tool. Use when working on Kumo features, understanding architecture, writing tests, or navigating the codebase.
Score 70/100
Provides KurrentDB (EventStoreDB) client code for event sourcing and CQRS. Generates correct package names, connection strings, and API patterns for Python, Node.js, .NET, F#, Go,…
Score 70/100
Kubernetes native configuration management with Kustomize. Use for environment-specific configs, resource patching, manifest organization, multi-environment deployments, and…
Score 70/100
Use when customizing Kubernetes configurations without templates using Kustomize overlays and patches.
Score 70/100
Use when managing environment-specific Kubernetes configurations with Kustomize overlays and patches.
Score 70/100
Automatically optimizes Cloudflare KV storage patterns, suggesting parallel operations, caching strategies, and storage choice guidance
Score 70/100
Kotlin 멀티프로젝트 라이브러리 개발 지원 - AWS 서비스 통합(Kinesis, DynamoDB, S3, Lambda, CDK), Spring Boot, JPA, Hibernate, 유틸리티(JSON, CSV, Time, Collection 등).
Score 70/100
Guidelines for developing with Kysely, a type-safe TypeScript SQL query builder with autocompletion support
Score 70/100
对 Vue SFC 文件做国际化改造：提取模板中的中文硬编码字符串，替换为 t('key')，在 script setup 中添加 useI18n，并生成包含全部 20 种语言的 块。当用户说"国际化"、"i18n"、"做翻译"、"提取中文"、"替换 t()"、"写 i18n 块"时使用此技能。
Score 70/100
AWS Lambda serverless functions for event-driven compute. Use when creating functions, configuring triggers, debugging invocations, optimizing cold starts, setting up event source…
Score 70/100
Production-grade test automation skills for 46 frameworks across E2E, unit, mobile, BDD, visual, and cloud testing in 15+ languages.
Score 70/100
Clerk for reserve reduction, trespass, survey errors, and railway takings; use when processing the Land_Reduction_Trespass queue.
Score 70/100
High-conversion landing page architecture - hero patterns, sections, social proof, CTA placement, shadcn templates.
Score 70/100
Design PostgreSQL 17 schemas for laneweaverTMS using Supabase conventions - UUIDs, ENUMs, audit trails, soft deletes, triggers, functions, views, and atomic migration patterns.
Score 70/100
Foundational C programming patterns covering type system, memory management, pointers, arrays, preprocessor, compilation, concurrency (pthreads, mutexes, atomics), serialization…
Score 70/100
C library development patterns covering API design, header organization, memory management for libraries, ABI stability, build system integration, documentation with Doxygen,…
Score 70/100
Foundational C# patterns covering LINQ, async/await, nullable types, records, and pattern matching. Use when writing C# code or needing guidance on C# features.
Score 70/100
Foundational .NET patterns covering runtime, project structure, dependency injection, configuration, metaprogramming, and cross-platform development.
Score 70/100
Foundational Elm development patterns covering The Elm Architecture (TEA), type-safe frontend development, and core language features.
Score 70/100
Go 1.23+ development specialist covering Chi, GORM, and concurrent programming patterns. Use when building high-performance microservices, CLI tools, or cloud-native applications.
Score 70/100
Foundational GraphQL patterns covering schema design, queries, mutations, subscriptions, and resolvers. Use when building or consuming GraphQL APIs.
Score 70/100
Foundational Java patterns covering core syntax, object-oriented programming, generics, collections, streams, lambdas, and modern Java features.
Score 70/100
Foundational Kotlin patterns covering null safety, coroutines, data classes, extension functions, and Kotlin idioms.
Score 70/100
Kotlin-specific library development patterns. Use when creating Kotlin libraries, designing idiomatic Kotlin APIs with extension functions and DSLs, configuring Gradle Kotlin DSL…
Score 70/100
Foundational Python patterns covering core syntax, idioms, type hints, testing, and modern tooling. Use when writing Python code, understanding Pythonic patterns, working with…
Score 70/100
Foundational Roc patterns covering platform/application architecture, records, tags, pattern matching, abilities, and functional idioms.
Score 70/100
Foundational Rust patterns covering core syntax, traits, generics, lifetimes, and common idioms. Use when writing Rust code, understanding ownership basics, working with…
Score 70/100
Rust documentation practices for HASH codebase. Use when writing doc comments, documenting functions/types/traits/modules, creating error sections, using intra-doc links,…
Score 70/100
Foundational Swift development patterns covering modern Swift syntax, SwiftUI, protocol-oriented programming, and Cocoa Touch frameworks.
Score 70/100
Foundational TypeScript patterns covering types, interfaces, generics, utility types, and common idioms.
Score 70/100
Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct agents, tool…
Score 70/100
Master the LangChain framework for building sophisticated LLM applications with agents, chains, memory, and tool integration.
Score 70/100
Design LLM applications using the LangChain framework with agents, memory, and tool integration patterns.
Score 70/100
Configure CI/CD for LangChain with GitHub Actions, mocked unit tests, gated integration tests, and RAG pipeline validation.
Score 70/100
Optimize LangChain API costs with token tracking, model tiering, caching, prompt compression, and budget enforcement.
Score 70/100
Collect LangChain debug evidence for troubleshooting and bug reports. Use when preparing GitHub issues, collecting LangSmith traces, or gathering diagnostic info for complex…
Score 70/100
Deploy LangChain applications to production with LangServe, Docker, and cloud platforms (Cloud Run, AWS Lambda).
Score 70/100
Expert guidance for LangChain and LangGraph development with Python, covering chain composition, agents, memory, and RAG implementations.
Score 70/100
Create a minimal working LangChain example with LCEL chains. Use when starting a new LangChain integration, testing your setup, or learning LCEL pipe syntax with prompts and…
Score 70/100
Create a minimal working LangChain example. Use when starting a new LangChain integration, testing your setup, or learning basic LangChain patterns with chains and prompts.
Score 70/100
Builds LLM-powered applications with LangChain.js for chat, agents, and RAG. Use when creating AI applications with chains, memory, tools, and retrieval-augmented generation in…
Score 70/100
Persist LangGraph agent state correctly with MemorySaver and PostgresSaver — thread_id discipline, JSON-serializable state rules, time-travel, schema migration.
Score 70/100
Build LangGraph 1.0 human-in-the-loop approval flows with `interrupt_before` / `interrupt_after` and `Command(resume=...)` — JSON-serializable state, clean resume semantics, and…
Score 70/100
Pick the correct LangGraph 1.0 stream_mode ("messages" vs "updates" vs "values"), wire it into SSE or WebSocket without proxy-buffering gotchas, and filter astream_events(v2)…
Score 70/100
Compose LangGraph 1.0 subgraphs correctly — shared state key propagation, Send / Command(graph=...) dispatch, callback scoping, per-subgraph recursion budgets, and testing each…
Score 70/100
Configure LangChain local development workflow with testing and mocks. Use when setting up dev environment, creating test fixtures with mocked LLMs, or establishing a rapid…
Score 70/100
Build composable middleware for LangChain 1.0 chains and LangGraph 1.0 agents — PII redaction, caching, retry, token budgets, guardrails — with ORDERING rules that avoid cache-key…
Score 70/100
Optimize LangChain application performance: latency, throughput, streaming, caching, batch processing, and connection pooling.
Score 70/100
Production readiness checklist for LangChain applications. Use when preparing for launch, validating deployment readiness, or auditing existing production LangChain systems.
Score 70/100
Manage LangChain 1.0 prompts like code — LangSmith prompt hub versioning, XML-tag conventions for Claude, few-shot example selection, discriminated-union extraction schemas, and…
Score 70/100
Implement LangChain rate limiting, retry strategies, and backoff. Use when handling API rate limits, controlling request throughput, or implementing concurrency-safe batch…
Score 70/100
Implement LangChain reference architecture for production systems: layered design, provider abstraction, chain registry, RAG pipelines, and multi-agent orchestration.
Score 70/100
Implement LangChain callback handlers, streaming, webhooks, Server-Sent Events (SSE), and WebSocket integration.
Score 70/100
Integration patterns for LangChain4j with Spring Boot. Auto-configuration, dependency injection, and Spring ecosystem integration.
Score 70/100
Testing strategies for LangChain4j-powered applications. Mock LLM responses, test retrieval chains, and validate AI workflows. Use when testing AI-powered features reliably.
Score 70/100
Configure LangChain4J vector stores for RAG applications. Use when building semantic search, integrating vector databases (PostgreSQL/pgvector, Pinecone, MongoDB, Milvus, Neo4j),…
Score 70/100
LangChain.js - TypeScript framework for building LLM-powered applications with agents, chains, RAG, tools, memory, and integrations for OpenAI, Anthropic, Google, and hundreds of…
Score 70/100
LangExtract by Google is a Python library for extracting structured information from unstructured text using LLMs with precise source grounding.
Score 70/100