Desenvolupament d’API
Disseny d’API, REST i GraphQL
analyzing-projects
CloudAI-X
Analyzes codebases to understand structure, tech stack, patterns, and conventions. Use when onboarding to a new project, exploring unfamiliar code, or when asked "how does this work?" or "what's the architecture?"
ddd-design-docs
ssiumha
Provides DDD layered architecture patterns. Use when designing domain-centric systems or structuring complex business logic.
Forge
ikennaokpala
Autonomous quality engineering swarm that forges production-ready code through continuous behavioral verification, exhaustive E2E testing, and self-healing fix loops. Combines DDD+ADR+TDD methodology with BDD/Gherkin specifications, 7 quality gates, defect prediction, chaos testing, and cross-context dependency awareness. Architecture-agnostic — works with monoliths, microservices, modular monoliths, and any bounded-context topology.
plan-creator
ssiumha
Creates dependency-based task execution plans with parallel orchestration. Use when planning complex tasks, breaking down work into steps, 계획 수립, 3+ tasks with dependencies, unclear execution order, or parallel work identification needed.
laravel-controller-tests
noartem
Write focused controller tests using HTTP assertions; keep heavy logic in Actions/Services and unit test them
laravel-laravel-prompting-patterns
noartem
Use Laravel-specific vocabulary—Eloquent patterns, Form Requests, API resources, jobs/queues—to get idiomatic framework code
laravel-api-resources-and-pagination
noartem
Use API Resources with pagination and conditional fields; keep response shapes stable and cache-friendly
laravel-rate-limiting
noartem
Apply per-user and per-route limits with RateLimiter and throttle middleware; use backoffs and headers for clients
stripe-best-practices
exceptionless
Best practices for building a Stripe integrations
upgrade-stripe
exceptionless
Guide for upgrading Stripe API versions and SDKs
Frontend Architecture
exceptionless
Svelte SPA architecture for Exceptionless. Route groups, lib structure, API client, feature slices, and barrel exports. Keywords: route groups, $lib, feature slices, api-client, barrel exports, index.ts, vertical slices, shared components, generated models, ClientApp structure
ai-multimodal
Microck
Process and generate multimedia content using Google Gemini API. Capabilities include analyze audio files (transcription with timestamps, summarization, speech understanding, music/sound analysis up to 9.5 hours), understand images (captioning, object detection, OCR, visual Q&A, segmentation), process videos (scene detection, Q&A, temporal analysis, YouTube URLs, up to 6 hours), extract from documents (PDF tables, forms, charts, diagrams, multi-page), generate images (text-to-image, editing, composition, refinement). Use when working with audio/video files, analyzing images or screenshots, processing PDF documents, extracting structured data from media, creating images from text prompts, or implementing multimodal AI features. Supports multiple models (Gemini 2.5/2.0) with context windows up to 2M tokens.
jq
kylesnowschwartz
This skill SHOULD be used when the user asks to "get the version from package.json", "what dependencies are in this project", "extract field from JSON", "check tsconfig settings", "parse API response", "get scripts from package.json", or when needing specific fields from JSON files without loading the entire file.
archon
Microck
Interactive Archon integration for knowledge base and project management via REST API. On first use, asks for Archon host URL. Use when searching documentation, managing projects/tasks, or querying indexed knowledge. Provides RAG-powered semantic search, website crawling, document upload, hierarchical project/task management, and document versioning. Always try Archon first for external documentation and knowledge retrieval before using other sources.
backend-dev-guidelines
Microck
Comprehensive backend development guide for Langfuse's Next.js 14/tRPC/Express/TypeScript monorepo. Use when creating tRPC routers, public API endpoints, BullMQ queue processors, services, or working with tRPC procedures, Next.js API routes, Prisma database access, ClickHouse analytics queries, Redis queues, OpenTelemetry instrumentation, Zod v4 validation, env.mjs configuration, tenant isolation patterns, or async patterns. Covers layered architecture (tRPC procedures → services, queue processors → services), dual database system (PostgreSQL + ClickHouse), projectId filtering for multi-tenant isolation, traceException error handling, observability patterns, and testing strategies (Jest for web, vitest for worker).
alphafold-database
Microck
"Access AlphaFold's 200M+ AI-predicted protein structures. Retrieve structures by UniProt ID, download PDB/mmCIF files, analyze confidence metrics (pLDDT, PAE), for drug discovery and structural biology."
api-test-generator
Microck
Генерация полных Python pytest тестов для REST API эндпоинтов с валидацией схемы. Использовать при создании тестов для новых эндпоинтов, добавлении покрытия для CRUD операций или валидации соответствия API с OpenAPI схемами.
adaptyv
Microck
Cloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding assays, expression testing, thermostability measurements, enzyme activity assays, or protein sequence optimization. Also use for submitting experiments via API, tracking experiment status, downloading results, optimizing protein sequences for better expression using computational tools (NetSolP, SoluProt, SolubleMPNN, ESM), or managing protein design workflows with wet-lab validation.
backend-ai-guide
Microck
Expert guide for Backend.AI distributed computing platform. Automatically activates when users ask about: - Backend.AI architecture, components (Manager, Agent, Storage Proxy, Webserver, App Proxy) - Features (session scheduling, Sokovan orchestrator, multi-tenancy, resource allocation) - APIs (REST, GraphQL), authentication, RBAC authorization - Container runtime (kernels, jail sandbox, hook library, virtual folders) - Accelerator support (CUDA, ROCm, TPU, NPU, Graphcore IPU) - Client SDKs (Python, Java, JavaScript, PHP) - Setup, requirements (Python 3.13+, Docker, PostgreSQL, Redis, etcd) - How WebUI connects to/interacts with Backend.AI backend - Plugin interfaces, development setup, infrastructure Use when user mentions "Backend.AI", "backend.ai", "Sokovan", component names, or asks about the backend platform this WebUI connects to.
api-design-principles
Microck
Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers. Use when designing new APIs, reviewing API specifications, or establishing API design standards.
agent-recall
Goldentrii
Persistent compounding memory for AI agents. 6 MCP tools: session_start, remember, recall, session_end, check, digest. Auto-naming, feedback loop, correction capture, cross-project insight matching. Stores everything as local markdown. Zero cloud, zero telemetry, Obsidian-compatible.
openalex
ondata
Query OpenAlex API from the command line with curl and jq for publication discovery, filtering, sorting, pagination, and PDF availability checks. Use when searching scholarly works/authors/sources, building or debugging OpenAlex queries, extracting results, or downloading available PDFs using OPENALEX_API_KEY.
laravel-testing
fusengine
Write tests with Pest 3/PHPUnit, feature tests, unit tests, mocking, fakes, and factories. Use when testing controllers, services, models, or implementing TDD.
data-flows
florianbuetow
This skill should be used when the user asks to "map data flows", "trace data through the system", "show how data moves", "identify trust boundaries", "find where data is encrypted or decrypted", "map PII flows", or "trace input to storage". Also triggers when the user asks about data transformation pipelines, where sensitive data is processed, or how user input reaches databases or external services.