Browse Skills — Page 166
32,221 public skills · showing 16,501–16,600
- 100/100
landing-page-generator
alirezarezvani/claude-skills
Generates high-converting landing pages as complete Next.js/React (TSX) components with Tailwind CSS. Creates hero sections, feature grids, pricing tables, FAQ accordions, testimonial blocks, and CTA sections using proven copy frameworks (PAS, AIDA, BAB). Outputs SEO meta tags, structured data, and performance-optimised code targeting Core Web Vitals (LCP < 1s, CLS < 0.1). Use when the user asks to create a landing page, marketing page, homepage, single-page site, lead capture page, campaign page, promo page, or conversion-optimised web page — or when they want to A/B test landing page variants or replace a static page with one designed to convert.
- 100/100
landing-page-generator-v2
diegosouzapw/awesome-omni-skills
Landing Page Generator workflow skill. Use this skill when the user needs Generates high-converting Next.js/React landing pages with Tailwind CSS. Uses PAS, AIDA, and BAB frameworks for optimized copy/components (Heroes, Features, Pricing). Focuses on Core Web Vitals/SEO and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
- 100/100
landing-page-intel
gooseworks-ai/goose-skills
>
- 100/100
landing-page-launch
elophanto/EloPhanto
Pre-launch validation with landing pages. Build a landing page, capture emails, accept pre-orders, and validate demand before writing code. Based on levelsio's MAKE handbook.
- 100/100
landing-page-message-match
Significant-Gravitas/skills-catalog
Compare each ad's promise with its landing page and list the gaps that cost conversions.
- 100/100
landing-page-optimization
manojbajaj95/claude-gtm-plugin
Use when working on landing pages — creation, copywriting, design, optimization, or conversion rate improvement. Covers hero sections, above-the-fold content, value propositions, CTAs, landing page templates, and high-converting page structure. Applies to sales pages, lead capture pages, product pages, and marketing site pages. Use this skill for landing page copy, landing page design, landing page optimization, CTA writing, conversion rate optimization, hero section content, value proposition work, and any page builder or landing page template tasks.
- 100/100
landing-page-optimizer
OneWave-AI/claude-skills
Optimize landing pages for conversions, performance, and SEO. Use when improving landing pages, increasing conversions, or optimizing page performance.
- 100/100
landpacht-und-hoferbfolge-pruefen
Klotzkette/claude-fuer-deutsches-recht
Pruefraster fuer Landpachtvertrag §§ 585 ff. BGB und Hoefeerbfolge nach HoefeO oder regionalem Hoefeerecht. Pachtformen Geld-Pacht Natural-Pacht Teilpacht Pachtvertragsanzeige § 2 LPachtVG Pachtpreisanpassung § 593 BGB Vertragsdauer Beendigung Verlaengerung Bewirtschaftungspflicht. Hoefeerecht Anerbenrecht Hofeszession Abfindungs-Anspruch weichender Erben § 12 HoefeO Hofeswert. Verweist auf ELER und GAP-Foerderrecht Direktzahlungen Cross Compliance Agrarumweltmassnahmen.
- 100/100
landscape-reconnaissance
yogsoth-ai/de-anthropocentric-research-engine
Broad, shallow exploration of candidate research fields. Understand what's out there before narrowing. Use when the user needs to discover which fields are available to them — especially in cold-start and warm-start scenarios.
- 100/100
landscape-survey
yogsoth-ai/de-anthropocentric-research-engine
Patent landscape full-scan — maps technology domain via assignee ranking, IPC/CPC classification, filing trends. Budget: 200 patent families, 0 claim parses, 80 web searches.
- 100/100
landscape-synthesis
yogsoth-ai/de-anthropocentric-research-engine
Evaluate each candidate research field on maturity, competition, entry barrier, and publication opportunity. Synthesizes broad-web-search results into a structured FieldPanorama. Must consider both niche approaches AND direct frontal competition in hot fields.
- 100/100
lane
github/gh-aw-threat-detection
Use lane in this repository when the user asks to create or work in an isolated worktree.
- 100/100
lane-brief
microsoft/amplifier-bundle-converge
>
- 100/100
langbase-automation
ComposioHQ/awesome-claude-skills
"Automate Langbase tasks via Rube MCP (Composio). Always search tools first for current schemas."
- 100/100
langchain
Orchestra-Research/AI-Research-SKILLs
Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct agents, tool calling, memory management, and vector store retrieval. Use for building chatbots, question-answering systems, autonomous agents, or RAG applications. Best for rapid prototyping and production deployments.
- 100/100
langchain-architecture
wshobson/agents
Design LLM applications using LangChain 1.x and LangGraph for agents, memory, and tool integration. Use when building LangChain applications, implementing AI agents, or creating complex LLM workflows.
- 100/100
langchain-architecture
benjaminasterA/antigravity-awesome-skills
Design LLM applications using the LangChain framework with agents, memory, and tool integration patterns. Use when building LangChain applications, implementing AI agents, or creating complex LLM w...
- 100/100
langchain-architecture-v2
diegosouzapw/awesome-omni-skills
LangChain Architecture workflow skill. Use this skill when the user needs Master the LangChain framework for building sophisticated LLM applications with agents, chains, memory, and tool integration and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
- 100/100
langchain-brand-skill
langchain-ai/fleet-deepagent-export
Design guidelines for 2026 LangChain brand
- 100/100
langchain-dependencies
langchain-ai/langchain-skills
INVOKE THIS SKILL when setting up a new project or when asked about package versions, installation, or dependency management for LangChain, LangGraph, LangSmith, or Deep Agents. Covers required packages, minimum versions, environment requirements, versioning best practices, and common community tool packages for both Python and TypeScript.
- 100/100
langchain-fundamentals
langchain-ai/langchain-skills
Create LangChain agents with create_agent, define tools, and use middleware for human-in-the-loop and error handling.
- 100/100
langchain-middleware
langchain-ai/langchain-skills
INVOKE THIS SKILL when you need human-in-the-loop approval, custom middleware, or structured output. Covers HumanInTheLoopMiddleware for human approval of dangerous tool calls, creating custom middleware with hooks, Command resume patterns, and structured output with Pydantic/Zod.
- 100/100
langchain-oss-primer
langchain-ai/skills-benchmarks
"ALWAYS START HERE for any LangChain, Deep Agents, or LangGraph agent building project. Required starting point before choosing other skills or writing any code. Covers framework selection (LangChain vs LangGraph vs Deep Agents), agent archetypes, dependency setup, and which skills to load next based on your decisions."
- 100/100
langchain-python-quickstart
langchain-ai/langchain-skills
Scaffold a minimal local LangChain agent in Python by following the official quickstart. Use when the user wants to quickly build or try a LangChain agent locally.
- 100/100
langchain-rag
langchain-ai/langchain-skills
INVOKE THIS SKILL when building ANY retrieval-augmented generation (RAG) system. Covers document loaders, RecursiveCharacterTextSplitter, embeddings (OpenAI), and vector stores (Chroma, FAISS, Pinecone).
- 100/100
langchain-tool-builder
simbajigege/book2skills
Build LangChain (Python) tools using Claude Code's fail-closed design pattern — unified name/schema/security/execution in one class, with automatic three-layer execution (validate → permission → call). Use this skill whenever the user wants to define a new LangChain tool, add permission or validation logic to an existing tool, set up the ClaudeStyleTool base class in a project, or asks about "build_tool", "Claude Code style tool", "工具定义", or "langchain tool with permissions". Also trigger when the user says "create a tool for X" or "定义一个工具" in a LangChain Python project context, even without mentioning Claude Code explicitly.
- 100/100
langchain-typescript-quickstart
langchain-ai/langchain-skills
Scaffold a minimal local LangChain agent in TypeScript by following the official quickstart. Use when the user wants to quickly build or try a LangChain agent locally.
- 100/100
langchain4j-ai-services-patterns
giuseppe-trisciuoglio/developer-kit
Provides patterns to build declarative AI Services with LangChain4j for LLM integration, chatbot development, AI agent implementation, and conversational AI in Java. Generates type-safe AI services using interface-based patterns, annotations, memory management, and tools integration. Use when creating AI-powered Java applications with minimal boilerplate, implementing conversational AI with memory, or building AI agents with function calling.
- 100/100
langchain4j-mcp-server-patterns
giuseppe-trisciuoglio/developer-kit
Provides LangChain4j patterns for implementing MCP (Model Context Protocol) servers, creating Java AI tools, exposing tool calling capabilities, and integrating MCP clients with AI services. Use when building a Java MCP server, implementing tool calling in Java, connecting LangChain4j to external MCP servers, or securing tool exposure for agent workflows.
- 100/100
langchain4j-rag-implementation-patterns
giuseppe-trisciuoglio/developer-kit
Provides Retrieval-Augmented Generation (RAG) implementation patterns with LangChain4j for Java. Generates document ingestion pipelines, embedding stores, vector search, and semantic search capabilities. Use when building chat-with-documents systems, document Q&A over PDFs or text files, AI assistants with knowledge bases, semantic search over document repositories, or knowledge-enhanced AI applications with source attribution.
- 100/100
langchain4j-spring-boot-integration
giuseppe-trisciuoglio/developer-kit
Provides integration patterns for LangChain4j with Spring Boot. Configures AI model beans, sets up chat memory with Spring context, integrates RAG pipelines with Spring Data, and handles auto-configuration, dependency injection, and Spring ecosystem integration. Use when embedding LangChain4j into Spring Boot applications, building Java LLM applications with @Bean configuration, or setting up Spring AI patterns.
- 100/100
langchain4j-testing-strategies
giuseppe-trisciuoglio/developer-kit
Provides unit test, integration test, and mock AI patterns for LangChain4j applications. Creates mock LLM responses, tests retrieval chains, validates RAG workflows, and implements Testcontainers-based integration tests for Java AI services. Use when unit testing AI services, integration testing LangChain4j components, mocking AI models, or testing LLM-based Java applications.
- 100/100
langchain4j-tool-function-calling-patterns
giuseppe-trisciuoglio/developer-kit
Provides and generates LangChain4j tool and function calling patterns: annotates methods as tools with @Tool, configures tool executors, registers tools with AiServices, validates tool parameters, and handles tool execution errors. Use when building AI agents that call tools, define function specifications, manage tool responses, or integrate external APIs with LLM-driven applications.
- 100/100
langchain4j-vector-stores-configuration
giuseppe-trisciuoglio/developer-kit
Provides configuration patterns for LangChain4J vector stores in RAG applications. Use when building semantic search, integrating vector databases (PostgreSQL/pgvector, Pinecone, MongoDB, Milvus, Neo4j), implementing embedding storage/retrieval, setting up hybrid search, or optimizing vector database performance for production AI applications.
- 75/100
langfuse
trailofbits/buttercup
Interact with Langfuse and access its documentation. Use when needing to (1) query or modify Langfuse data programmatically via the CLI — traces, prompts, datasets, scores, sessions, and any other API resource, (2) look up Langfuse documentation, concepts, integration guides, or SDK usage, or (3) understand how any Langfuse feature works. This skill covers CLI-based API access (via npx) and multiple documentation retrieval methods.
- 100/100
langfuse
avivsinai/langfuse-mcp
Debug AI agents and LLM applications via Langfuse MCP. Use when investigating traces, exceptions, slow generations, sessions, prompt versions, datasets, or evaluation sets. Triggers on "langfuse", "traces", "debug AI", "find exceptions", "what went wrong", "why is it slow", "datasets", "evaluation sets".
- 95/100
langfuse-integration-page
langfuse/langfuse-docs
Create a new Langfuse integration page in the langfuse-docs repo. Use this skill whenever the user wants to add, create, draft, or scaffold an integration page, cookbook, or docs page for a new tool/framework/model-provider/gateway in Langfuse — triggers include "new integration", "integration page", "docs page for <X>", "cookbook for <X>", "add <X> to langfuse docs", or any request that results in a new `cookbook/integration_*.ipynb`. Also use when the user pastes working integration code, a link to a partner's docs, or rough notes and wants them turned into the standard Langfuse integration notebook. The skill produces a correctly formatted Jupyter notebook, updates `cookbook/_routes.json`, and tries to fetch the partner logo into `public/images/integrations/`.
- 100/100
langfuse-v2
diegosouzapw/awesome-omni-skills
Langfuse workflow skill. Use this skill when the user needs Expert in Langfuse - the open-source LLM observability platform and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
- 100/100
langfuse-v3
diegosouzapw/awesome-omni-skills
Langfuse workflow skill. Use this skill when the user needs Expert in Langfuse - the open-source LLM observability platform and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
- 100/100
langgraph
langchain-ai/docs
Build stateful, durable agent workflows with LangGraph. Use when you need custom graph-based control flow, human-in-the-loop, persistence, or multi-agent orchestration.
- 100/100
langgraph-architecture
existential-birds/beagle
Guides architectural decisions for LangGraph applications. Use when deciding between LangGraph vs alternatives, choosing state management strategies, designing multi-agent systems, or selecting persistence and streaming approaches.
- 100/100
langgraph-cli
langchain-ai/langchain-skills
INVOKE THIS SKILL when using the langgraph CLI to scaffold, develop, build, or deploy LangGraph applications. Covers langgraph new, dev, build, up, deploy, and langgraph.json configuration.
- 100/100
langgraph-code-review
existential-birds/beagle
Reviews LangGraph code for bugs, anti-patterns, and improvements. Use when reviewing code that uses StateGraph, nodes, edges, checkpointing, or other LangGraph features. Catches common mistakes in state management, graph structure, and async patterns.
- 100/100
langgraph-decision-models
langchain-ai/langchain-skills
INVOKE THIS SKILL when routing a LangGraph agent with a decision model (TypeSafe Jev, SemIf) instead of an LLM, or when auditing an existing agent for LLM calls that only produce a routing decision. Covers langchain-typesafe Noul/Choice/Score, reading answers correctly, threshold design, and LangSmith Gateway wiring.
- 100/100
langgraph-docs
langchain-ai/deepagents
Fetches and references LangGraph Python documentation to build stateful agents, create multi-agent workflows, and implement human-in-the-loop patterns. Use when the user asks about LangGraph, graph agents, state machines, agent orchestration, LangGraph API, or needs LangGraph implementation guidance.
- 100/100
langgraph-fundamentals
langchain-ai/langchain-skills
INVOKE THIS SKILL when writing ANY LangGraph code. Covers StateGraph, state schemas, nodes, edges, Command, Send, invoke, streaming, and error handling.
- 100/100
langgraph-human-in-the-loop
langchain-ai/langchain-skills
INVOKE THIS SKILL when implementing human-in-the-loop patterns, pausing for approval, or handling errors in LangGraph. Covers interrupt(), Command(resume=...), approval/validation workflows, and the 4-tier error handling strategy.
- 100/100
langgraph-implementation
existential-birds/beagle
Implements stateful agent graphs using LangGraph. Use when building graphs, adding nodes/edges, defining state schemas, implementing checkpointing, handling interrupts, or creating multi-agent systems with LangGraph.
- 100/100
langgraph-persistence
langchain-ai/langchain-skills
INVOKE THIS SKILL when your LangGraph needs to persist state, remember conversations, travel through history, or configure subgraph checkpointer scoping. Covers checkpointers, thread_id, time travel, Store, and subgraph persistence modes.
- 100/100
langgraph-python-quickstart
langchain-ai/langchain-skills
Scaffold a minimal local LangGraph agent in Python by following the official quickstart. Use when the user wants to quickly build or try a LangGraph agent locally.
- 100/100
langgraph-typescript-quickstart
langchain-ai/langchain-skills
Scaffold a minimal local LangGraph agent in TypeScript by following the official quickstart. Use when the user wants to quickly build or try a LangGraph agent locally.
- 100/100
langgraph-v2
diegosouzapw/awesome-omni-skills
LangGraph workflow skill. Use this skill when the user needs Expert in LangGraph - the production-grade framework for building and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
- 100/100
langgraph-v3
diegosouzapw/awesome-omni-skills
LangGraph workflow skill. Use this skill when the user needs Expert in LangGraph - the production-grade framework for building and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
- 100/100
langsmith
langchain-ai/docs
Trace, evaluate, and deploy AI agents and LLM applications with LangSmith. Use when adding observability, running evaluations, engineering prompts, or deploying agents to production.
- 100/100
langsmith-code-eval
langchain-ai/lca-skills
Creates code-based evaluators for LangSmith-traced agents. Use when building custom evaluation logic, testing tool usage patterns, or scoring agent outputs programmatically. Triggers on requests to evaluate agents, create evaluators, or run experiments against LangSmith datasets.
- 100/100
langsmith-custom-apps
langchain-ai/langsmith-skills
INVOKE THIS SKILL when building, iterating on, copying, or sharing a LangSmith Custom App — a React/TypeScript UI that runs inside LangSmith and reads the LangSmith API. Covers the langsmith apps CLI, pulling an existing app's source, replicating an app into another workspace, verifying app logic without a browser, and sanitizing an app before sending it outside your org. Uses the langsmith CLI tool.
- 100/100
langsmith-dataset
langchain-ai/langsmith-skills
INVOKE THIS SKILL when creating evaluation datasets, uploading datasets to LangSmith, or managing existing datasets. Covers dataset types (final_response, single_step, trajectory, RAG), CLI management commands, SDK-based creation, and example management. Uses the langsmith CLI tool.
- 100/100
langsmith-evaluator
langchain-ai/langsmith-skills
INVOKE THIS SKILL when building evaluation pipelines for LangSmith. Covers three core components: (1) Creating Evaluators - LLM-as-Judge, custom code; (2) Defining Run Functions - how to capture outputs and trajectories from your agent; (3) Running Evaluations - locally with evaluate() or auto-run via LangSmith. Uses the langsmith CLI tool.
- 100/100
langsmith-fetch
ComposioHQ/awesome-claude-skills
Debug LangChain and LangGraph agents by fetching execution traces from LangSmith Studio. Use when debugging agent behavior, investigating errors, analyzing tool calls, checking memory operations, or examining agent performance. Automatically fetches recent traces and analyzes execution patterns. Requires langsmith-fetch CLI installed.
- 100/100
langsmith-observability
Orchestra-Research/AI-Research-SKILLs
LLM observability platform for tracing, evaluation, and monitoring. Use when debugging LLM applications, evaluating model outputs against datasets, monitoring production systems, or building systematic testing pipelines for AI applications.
- 100/100
langsmith-online-eval-engineering
langchain-ai/langsmith-skills
Design, test, create, and attach LangSmith online evaluators for production traces or conversation threads. Use for workspace evaluators, run or thread rules, sampling, filters, backfills, and evaluator monitoring; use eval-engineering for Harbor tasks and agent benchmarks.
- 100/100
langsmith-trace
langchain-ai/deepagentsjs
"INVOKE THIS SKILL when working with LangSmith tracing OR querying traces. Covers adding tracing to applications and querying/exporting trace data. Uses the langsmith CLI tool."
- 100/100
langtrace
TerminalSkills/skills
>-
- 100/100
language-audit
indranilbanerjee/digital-marketing-pro
Audit multilingual content consistency. Use when: checking language parity, regional compliance, or translation quality.
- 100/100
language-config
indranilbanerjee/digital-marketing-pro
Configure language settings. Use when: setting primary languages, do-not-translate terms, or locale formatting.
- 100/100
language-idioms-refiner
techygarg/lattice
Facilitate a structured conversation to define language-specific idioms and patterns for a repository. Produces a language-idioms.md document consumed by multiple atoms to adapt pseudocode defaults to the project's language. Use when setting up a new project, switching languages, or when the user says 'setup language', 'define language idioms', 'configure language', 'language patterns', or 'adapt for Go/Rust/Python'.
- 100/100
language-learning-strategies
Tibsfox/gsd-skill-creator
Meta-cognitive and practical strategies for learning any language -- learner autonomy, goal setting, strategy taxonomy (Oxford's SILL framework), memory strategies, cognitive strategies (note-taking, summarizing, analyzing, reasoning), compensation strategies, metacognitive strategies (planning, monitoring, evaluating), affective strategies (managing anxiety, self-encouragement), social strategies (collaboration, questioning, empathy), immersion design, study habit optimization, plateau diagnosis, and motivation maintenance. Use when designing a language learning plan, diagnosing a learner's stuck points, selecting study methods, or building self-directed learning skills.
- 100/100
laravel
TerminalSkills/skills
>-
- 100/100
laravel-ai-sdk
AsyrafHussin/agent-skills
Laravel AI SDK for building AI-powered features. Use when creating agents, generating images or audio, working with embeddings, vector search, or testing AI features. Triggers on tasks involving laravel/ai, AI agents, tool-calling, structured output, streaming, embeddings, reranking, or AI faking in tests.
- 100/100
laravel-api
HoangNguyen0403/agent-skills-standard
Build REST endpoints with API Resources, Sanctum authentication, and versioned route groups in Laravel. Use when creating JsonResource classes, adding token-based auth, or defining rate-limited API routes.
- 100/100
laravel-architecture
HoangNguyen0403/agent-skills-standard
Enforce core architectural standards for scalable Laravel applications. Use when structuring controllers, service layers, action classes, Form Requests, or Service Container bindings in Laravel projects.
- 100/100
laravel-background-processing
HoangNguyen0403/agent-skills-standard
Build scalable asynchronous workflows using Queues, Jobs, and Events in Laravel. Use when implementing queued jobs, event-driven workflows, or async processing in Laravel.
- 100/100
laravel-best-practices
AsyrafHussin/agent-skills
Laravel 13 conventions and best practices. Use when creating controllers, models, migrations, validation, services, or structuring Laravel applications. Triggers on tasks involving Laravel architecture, Eloquent, database, API development, or PHP patterns.
- 100/100
laravel-clean-architecture
HoangNguyen0403/agent-skills-standard
Implement Domain-Driven Design with typed DTOs, repository interfaces, and single-responsibility Action classes in Laravel. Use when creating domain folders, binding repository contracts in providers, or passing DTOs between layers.
- 100/100
laravel-database-expert
HoangNguyen0403/agent-skills-standard
Optimize Laravel queries with subqueries, joinSub, Redis cache-aside patterns, and read/write connection splitting. Use when writing complex joins, implementing Cache::remember with tags, or configuring database read replicas.
- 100/100
laravel-database-optimization
AsyrafHussin/agent-skills
Laravel database optimization patterns. Use when writing Eloquent queries, creating migrations, configuring caching, debugging slow queries, or optimizing database performance. Triggers on tasks involving N+1 queries, indexing, Redis caching, pagination, or database transactions.
- 100/100
laravel-eloquent
HoangNguyen0403/agent-skills-standard
Write performant Eloquent queries with eager loading, reusable scopes, and strict lazy-loading prevention in Laravel. Use when defining model relationships, creating query scopes, or processing large datasets with chunk/cursor.
- 100/100
laravel-expert
benjaminasterA/antigravity-awesome-skills
Senior Laravel Engineer role for production-grade, maintainable, and idiomatic Laravel solutions. Focuses on clean architecture, security, performance, and modern standards (Laravel 10/11+).
- 100/100
laravel-expert-v2
diegosouzapw/awesome-omni-skills
Laravel Expert workflow skill. Use this skill when the user needs Senior Laravel Engineer role for production-grade, maintainable, and idiomatic Laravel solutions. Focuses on clean architecture, security, performance, and modern standards (Laravel 10/11+) and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
- 100/100
laravel-inertia-react
AsyrafHussin/agent-skills
Laravel + Inertia.js + React integration patterns. Use when building Inertia page components, handling forms with useForm, managing shared data, or implementing persistent layouts. Triggers on tasks involving Inertia.js, page props, form handling, or Laravel React integration.
- 100/100
laravel-mcp
AsyrafHussin/agent-skills
Laravel MCP server development. Use when building MCP servers, tools, prompts, or resources for AI client integration. Triggers on tasks involving laravel/mcp, MCP tools, MCP prompts, MCP resources, or AI client protocols.
- 100/100
laravel-owasp-security
AsyrafHussin/agent-skills
OWASP Top 10 security audit and secure coding guidelines for Laravel + React/Inertia.js applications. Use when auditing for vulnerabilities ("run OWASP audit", "security review", "check my app security") or writing secure Laravel code involving auth, payments, file uploads, or API design. Triggers on security-related tasks, payment handling, authentication, or any request to audit a Laravel codebase.
- 100/100
laravel-patterns
affaan-m/ECC
Laravel architecture patterns, routing/controllers, Eloquent ORM, service layers, queues, events, caching, and API resources for production apps.
- 100/100
laravel-plugin-discovery
affaan-m/ECC
Discover and evaluate Laravel packages via LaraPlugins.io MCP. Use when the user wants to find plugins, check package health, or assess Laravel/PHP compatibility.
- 100/100
laravel-queues
AsyrafHussin/agent-skills
Laravel 13 queue and job patterns — driver choice, job design (idempotency, ShouldQueue, model serialisation), retry and failure handling, worker scaling, Bus batching and chaining, Horizon when warranted, queue testing. Use when designing async jobs, scheduling background work, configuring Horizon, debugging stuck jobs, or auditing queue health. Triggers on "Laravel queue", "Laravel job", "background job", "Horizon setup", "failed jobs", "Bus batch", "queue worker tuning".
- 90/100
laravel-security
affaan-m/ECC
Laravel security best practices for authn/authz, validation, CSRF, mass assignment, file uploads, secrets, rate limiting, and secure deployment.
- 100/100
laravel-security-audit
benjaminasterA/antigravity-awesome-skills
Security auditor for Laravel applications. Analyzes code for vulnerabilities, misconfigurations, and insecure practices using OWASP standards and Laravel security best practices.
- 100/100
laravel-security-audit-v2
diegosouzapw/awesome-omni-skills
Laravel Security Audit workflow skill. Use this skill when the user needs Security auditor for Laravel applications. Analyzes code for vulnerabilities, misconfigurations, and insecure practices using OWASP standards and Laravel security best practices and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
- 100/100
laravel-sessions-middleware
HoangNguyen0403/agent-skills-standard
Configure Redis session drivers, register security-header middleware, and prevent session fixation in Laravel. Use when switching session drivers, adding HSTS/CSP headers via middleware, or regenerating sessions after login.
- 100/100
laravel-specialist
Jeffallan/claude-skills
Build and configure Laravel 10+ applications, including creating Eloquent models and relationships, implementing Sanctum authentication, configuring Horizon queues, designing RESTful APIs with API resources, and building reactive interfaces with Livewire. Use when creating Laravel models, setting up queue workers, implementing Sanctum auth flows, building Livewire components, optimising Eloquent queries, or writing Pest/PHPUnit tests for Laravel features.
- 100/100
laravel-tdd
affaan-m/ECC
Test-driven development for Laravel with PHPUnit and Pest, factories, database testing, fakes, and coverage targets.
- 100/100
laravel-testing
HoangNguyen0403/agent-skills-standard
Write Pest feature tests with RefreshDatabase, mock external services, and create test data with Eloquent Factories in Laravel. Use when adding HTTP tests, configuring SQLite in-memory test database, or mocking payment services.
- 100/100
laravel-tooling
HoangNguyen0403/agent-skills-standard
Configure Laravel ecosystem with custom Artisan commands, Vite asset bundling, Pint code styling, and Horizon queue monitoring. Use when creating Artisan commands, migrating from Mix to Vite, or configuring Pint code standards.
- 100/100
laravel-verification
affaan-m/ECC
Verification loop for Laravel projects: env checks, linting, static analysis, tests with coverage, security scans, and deployment readiness.
- 100/100
large-file-refactor
PaulRBerg/agent-skills
Use LOC thresholds to discover candidates, then decide whether a split is justified by cohesion, coupling, ownership, and change risk. Test files use a relaxed 2000 LOC discovery threshold.
- 0/100
lark
vm0-ai/vm0-skills
Lark/Feishu API for collaboration. Use when user mentions "Lark", "Feishu",
- 100/100
lark-approval
larksuite/cli
飞书审批 API:审批实例、审批任务管理。
- 100/100
lark-apps
larksuite/cli
把本地 HTML 文件或目录部署到飞书妙搭(Miaoda),生成一个公网可访问的应用及其链接(URL)。当用户要创建 HTML 或要把 HTML、静态网站或 Web demo 发布成公网可访问的链接 / 可分享链接、设置应用共享范围,或提到妙搭 / Miaoda 时使用。凡产出可独立访问的 HTML 产物都属本 skill 的潜在归宿,是否真要部署由 skill 内部协议判断。不用于:上传普通文件到云空间/云盘/云存储(用 lark-drive)、编辑飞书云文档内容(用 lark-doc)、创建飞书原生幻灯片 / 演示文稿(用 lark-slides)。
- 100/100
lark-attendance
larksuite/cli
飞书考勤打卡:查询自己的考勤打卡记录
- 100/100
lark-base
larksuite/cli
当需要用 lark-cli 操作飞书多维表格(Base)时调用:搜索 Base、建表、字段管理、记录读写、记录分享链接、视图配置、历史查询,以及角色/表单/仪表盘管理/工作流;也适用于把旧的 +table / +field / +record 写法改成当前命令写法。涉及字段设计、公式字段、查找引用、跨表计算、行级派生指标、数据分析需求时也必须使用本 skill。
Page 166 of 323