Claude Skills by TerminalSkills

Configure and use Kibana for Elasticsearch data visualization, dashboard creation, and log exploration. Use when a user needs to build dashboards with Lens, write KQL queries, set up data views, create visualizations, or configure Kibana spaces and role-based access.

You are an expert in Knex.js, the flexible SQL query builder for Node.js that supports PostgreSQL, MySQL, SQLite, and MSSQL. You help developers write type-safe queries with a chainable API, manage database migrations and seeds, build complex joins and subqueries, and use transactions — providing direct SQL control without the overhead of a full ORM.

Find and remove unused files, dependencies, and exports in JavaScript/TypeScript projects with Knip. Use when someone asks to "find unused code", "clean up dependencies", "remove dead code", "find unused exports", "Knip", "reduce bundle size by removing unused files", or "audit npm dependencies". Covers unused files, dependencies, exports, types, and CI integration.

You are an expert in Koa, the minimalist web framework created by the Express team. You help developers build APIs and web services using Koa's async/await middleware stack, context object, and composable architecture — providing a lightweight foundation where you add only what you need through middleware, without bundled routing or templating.

Build interactive 2D canvas applications with Konva. Use when a user asks to create drawing tools, image editors, interactive graphics, drag-and-drop interfaces, or canvas-based UIs using Konva or react-konva.

Expert guidance for Kotlin Multiplatform (KMP), JetBrains' technology for sharing code between Android, iOS, web, and desktop applications. Helps developers build shared business logic, networking, and data layers in Kotlin while keeping UI native on each platform.

Expert guidance for Koyeb, the serverless cloud platform for deploying full-stack applications, APIs, and workers globally with automatic scaling, built-in CI/CD, and edge networking. Helps developers deploy applications from Git or Docker with zero-downtime deployments and pay-per-use pricing.

Manages Kubernetes clusters and Helm charts. Use when the user wants to write Kubernetes manifests, create Helm charts, deploy applications, debug pods, configure networking (services, ingress), set up autoscaling, manage secrets and config maps, write operators, troubleshoot cluster issues, or implement GitOps workflows. Trigger words: kubernetes, k8s, kubectl, helm, helm chart, pod, deployment, service, ingress, namespace, configmap, secret, hpa, pvc, statefulset, daemonset, cronjob, operat...

Write type-safe SQL with Kysely query builder. Use when a user asks to write raw SQL with TypeScript safety, build queries without an ORM, use a lightweight SQL builder, or migrate from Knex with type safety.

Expert guidance for Kyverno, the Kubernetes-native policy engine that validates, mutates, and generates resources using YAML policies (no Rego required). Helps developers enforce security policies, automate resource defaults, and ensure compliance across Kubernetes clusters.

Open-source data labeling and annotation platform for ML projects. Supports text, image, audio, video, and time-series data. Features configurable labeling interfaces, ML-assisted labeling, team collaboration, and API integration for automated workflows.

Embedded vector database with LanceDB — serverless, zero-config vector search for AI applications. Use when someone asks to "vector search without a server", "embedded vector database", "LanceDB", "local vector search", "serverless vector DB", "vector search in a file", or "lightweight RAG storage". Covers table creation, vector search, full-text search, hybrid search, and multimodal embeddings.

Build LLM-powered applications with LangChain. Use when a user asks to create AI chains, build RAG pipelines, implement agents with tools, set up document loaders, create vector stores, build conversational AI, implement prompt templates, chain LLM calls, add memory to chatbots, or orchestrate language model workflows. Covers LangChain v0.3+ with LCEL (LangChain Expression Language), structured output, tool calling, retrieval, and production deployment patterns.

You are an expert in Langfuse, the open-source LLM engineering platform. You help developers trace LLM calls, evaluate output quality, manage prompts, track costs and latency, run experiments, and build evaluation datasets — providing full observability into AI applications from development through production.

Build stateful, multi-step AI agents and workflows with LangGraph. Use when a user asks to create AI agents with complex logic, build multi-agent systems, implement human-in-the-loop workflows, create state machines for LLMs, build agentic RAG, implement tool-calling agents with branching logic, create planning agents, build supervisor/worker patterns, or orchestrate multi-step AI pipelines with cycles, persistence, and streaming.

Monitor, trace, debug, and evaluate LLM applications with LangSmith. Use when a user asks to trace LLM calls, debug chain executions, evaluate AI output quality, set up LLM observability, monitor agent performance, run prompt experiments, compare model outputs, create evaluation datasets, track token usage and latency, or build LLM testing pipelines. Covers tracing, datasets, evaluators, annotation queues, prompt hub, and production monitoring.

You are an expert in Langtrace, the open-source observability platform for LLM applications built on OpenTelemetry. You help developers trace LLM calls, RAG pipelines, agent tool use, and chain executions with automatic instrumentation for OpenAI, Anthropic, LangChain, LlamaIndex, and 20+ providers — providing cost tracking, latency analysis, token usage, and quality evaluation in a self-hostable dashboard.

You are an expert in Laravel, the most popular PHP framework for building web applications and APIs. You help developers build production systems with Eloquent ORM, Blade templating, Artisan CLI, queues, events, middleware, authentication (Sanctum/Breeze), Livewire for reactive UI, and a rich ecosystem of first-party packages — enabling rapid development without sacrificing code quality.

Deep research engine covering the last 30 days across 10+ sources -- Reddit, X/Twitter, YouTube, TikTok, HackerNews, Polymarket, Bluesky, and the web. Synthesizes findings into grounded, cited reports. Use when: researching trending topics, competitive intelligence, understanding what people are saying about a subject right now.

When the user wants to plan a product launch, feature announcement, or release strategy. Also use when the user mentions 'launch,' 'Product Hunt,' 'feature release,' 'announcement,' 'go-to-market,' 'beta launch,' 'early access,' 'waitlist,' or 'product update.' This skill covers phased launches, channel strategy, and ongoing launch momentum.

Manage feature flags with LaunchDarkly. Use when a user asks to implement feature flags, roll out features gradually, do A/B testing, control feature access by user segment, or implement kill switches for features.

Score and qualify sales leads based on criteria and fit. Use when a user asks to qualify leads, score prospects, prioritize sales leads, evaluate lead quality, rank leads by fit, assess sales pipeline, or determine which leads to pursue first. Supports BANT, MEDDIC, and custom scoring frameworks.

Build interactive maps with Leaflet.js. Use when a user asks to create map-based applications, add markers and popups, draw shapes, handle geolocation, or integrate tile layers in web applications.

Expert guidance for Lean Canvas, the one-page business model framework by Ash Maurya adapted from the Business Model Canvas. Helps founders and product teams map their business model in under 20 minutes, identify the riskiest assumptions, and iterate quickly. Also covers related frameworks: Business Model Canvas, Value Proposition Canvas, and SWOT analysis.

Fast Git hooks manager written in Go. Use when a user asks to set up Git hooks without Node.js dependency, run parallel pre-commit checks, or find a faster alternative to Husky.

You are an expert in Lemon Squeezy, the all-in-one payments platform that acts as your Merchant of Record. You help developers sell software, subscriptions, and digital products with automatic global tax handling (VAT, sales tax), invoicing, license keys, customer portal, and fraud protection — without needing to register for tax IDs or handle payment compliance yourself.

You are an expert in Leptos, the full-stack Rust web framework that combines server-side rendering with client-side interactivity via WebAssembly. You help developers build reactive web applications using Leptos's fine-grained signal system, server functions, islands architecture, and compile-time optimizations — getting React-like DX with Rust's performance and type safety.

Get free TLS certificates with Certbot and Let's Encrypt. Use when a user asks to add HTTPS to a website, get a free SSL certificate, auto-renew certificates, or secure a web server with TLS.

libSQL — a fork of SQLite with replication, HTTP API, and embedded replicas (used by Turso). Use when you need embedded SQLite with remote sync, an edge-compatible database, or a Turso cloud database. Covers the @libsql/client SDK, local/in-memory/cloud connections, embedded replicas, batch queries, and transactions.

Search jobs on Liepin (猎聘), apply to positions, view and edit resumes. Zero-dependency Python CLI wrapping Liepin's official MCP Server. Trigger words: jobs, liepin, resume, 找工作, 搜职位, 投简历, 猎聘, 求职, 招聘, 简历.

Automate Lighthouse audits in CI with Lighthouse CI. Use when a user asks to track Core Web Vitals, prevent performance regressions, audit accessibility in CI, or set performance budgets for web apps.

Use Lightpanda headless browser optimized for AI agents — fast, lightweight, designed for web scraping and automation at scale. Use when: building AI web scrapers, automating web tasks with agents, running headless browsing in resource-constrained environments.

Manage projects and issues with Linear. Use when a user asks to set up Linear workspaces, create issues and projects, automate workflows, build Linear integrations, sync issues with GitHub, manage sprints and cycles, set up triage processes, build custom views, use Linear's GraphQL API, create webhooks, automate issue transitions, or build tools on top of Linear. Covers workspace configuration, team workflows, API automation, and integration patterns.

Create, optimize, and automate LinkedIn content for personal branding, lead generation, and B2B marketing. Use when someone asks to "write a LinkedIn post", "grow on LinkedIn", "LinkedIn content strategy", "LinkedIn API integration", "automate LinkedIn posting", "LinkedIn carousel", "LinkedIn analytics", or "LinkedIn outreach". Covers content creation with platform-specific formatting, API integration, analytics, and growth strategies.

Linkerd lightweight service mesh for Kubernetes. Use when the user needs automatic mTLS, traffic splitting, retries, and observability with minimal resource overhead and operational complexity.

Expert guidance for Liveblocks, the platform for adding real-time collaboration features to web applications. Helps developers implement live cursors, presence indicators, collaborative editing, comments, and notifications using Liveblocks' React hooks and APIs.

Build real-time audio and video applications with LiveKit. Use when a user asks to implement WebRTC rooms, video conferencing, live streaming, screen sharing, or real-time communication using the LiveKit SDK.

Expert guidance for llamafile, the tool that packages LLMs into single executable files that run on any OS (Linux, macOS, Windows, FreeBSD) without installation. Helps developers create portable AI applications, run models offline, and distribute LLMs as self-contained binaries with built-in web UI and OpenAI-compatible API.

Assists with building RAG pipelines, knowledge assistants, and data-augmented LLM applications using LlamaIndex. Use when ingesting documents, configuring retrieval strategies, building query engines, or creating multi-step agents. Trigger words: llamaindex, rag, retrieval augmented generation, vector index, query engine, document loader, knowledge base.

Track, analyze, and reduce LLM API costs — model routing, prompt caching, semantic caching, and budget alerts. Use when someone asks to "reduce AI costs", "track LLM spending", "optimize API costs", "set up model routing", "cache LLM responses", "compare model costs", "set budget limits for AI", or "my OpenAI bill is too high". Covers cost tracking per feature/user, smart model routing (expensive model for hard tasks, cheap for easy), semantic caching, prompt compression, and budget alerting.

Offload tasks to local LLMs via LM Studio. Use when a user asks to run local models with LM Studio, save API costs by using local LLMs, create subagents with local models, offload summarization or classification to a local model, or use LM Studio's API for batch processing. Covers local model inference, task delegation, and cost optimization.

Configure and optimize load balancers and reverse proxies using Nginx, HAProxy, and cloud ALBs. Use when someone asks to "set up load balancing", "configure Nginx reverse proxy", "set up HAProxy", "add SSL termination", "configure health checks", "proxy WebSocket connections", "rate limit traffic", or "set up failover". Covers L4/L7 balancing, SSL, rate limiting, caching, WebSocket proxying, and health checks.

Expert guidance for LocalAI, the open-source drop-in replacement for OpenAI's API that runs locally. Helps developers self-host LLMs, image generators, audio transcription, and text-to-speech models with an OpenAI-compatible API — no GPU required, completely offline and private.

When the user wants to perform load testing using Python with Locust's distributed architecture and real-time web UI. Also use when the user mentions "locust," "Python load testing," "distributed load test," "locust web UI," or "locustfile." For JavaScript-based load testing, see k6 or artillery.

Analyze application logs, server logs, and error traces to identify root causes, patterns, and anomalies. Use when debugging production incidents, investigating error spikes, parsing crash reports, or correlating events across multiple log sources. Trigger words: logs, errors, stack trace, crash, exception, debug, incident, 500 errors, timeout, latency spike.

Configure Logstash for log ingestion, parsing, transformation, and output to Elasticsearch and other destinations. Use when a user needs to build log processing pipelines, write Grok patterns, parse unstructured logs, enrich events, or set up multi-pipeline Logstash deployments.

Loki is a horizontally scalable log aggregation system built by Grafana Labs. Unlike traditional log platforms that index the full text of every log line, Loki indexes only metadata labels, making it significantly cheaper to operate. It integrates natively with Grafana for querying and visualization, and uses LogQL — a query language inspired by PromQL — to filter, parse, and aggregate log streams.

Send marketing and transactional emails with Loops. Use when a user asks to set up email marketing for a SaaS, create drip campaigns, send product update emails, or use a modern alternative to Mailchimp for startups.

Play After Effects animations on web and mobile with Lottie — load JSON animation files, control playback, listen to events, and integrate animations into React, Vue, or vanilla JS apps. Use when tasks involve adding motion graphics, animated icons, loading indicators, or micro-interactions exported from After Effects or other animation tools.

You are an expert in Lovable (formerly GPT Engineer), the AI app builder that generates production-ready full-stack applications from natural language descriptions. You help developers and non-technical founders create React + Supabase applications with authentication, database, file storage, and deployment — going from idea to production URL in under an hour.