Backend

Use when designing content systems where 5+ distinct types need to comingle in feeds, timelines, or searches with shared metadata and operations - NOT for simple polymorphic associations or 1-3 similar types

Complete MCP development toolkit for creating, debugging, testing, and reviewing MCP servers. Use when setting up new MCP projects, creating tools, debugging connection issues, reviewing MCP code, or generating documentation.

Use this skill whenever the user wants to create, restructure, or standardize a NestJS backend project in TypeScript, including folder layout, config, environment setup, tooling, and initial integrations (TypeORM-ready, testing-ready, and deployment-friendly).

Apply security practices for the .NET 8 WPF widget host app: authN/authZ, secrets, encryption at rest, and secure local storage. Use when handling credentials, tokens, user data, or integrating identity providers.

Enterprise-grade company research, competitive analysis, and market intelligence using Bright Data's professional web scraping and search capabilities. Use this skill when asked to research companies, conduct competitive analysis, create market reports, analyze industries, compare products/services, or gather business intelligence. Triggers include requests like "research [company]", "competitive analysis of X vs Y", "create a market report", "analyze the [industry] landscape", or "compare [products/companies]".

PolicyEngine API - Flask REST service powering policyengine.org and programmatic access

Language-agnostic backend patterns: API design, authentication, security, databases.Use when: designing APIs, implementing auth, securing endpoints, modeling data.Triggers: "api design", "rest api", "graphql", "authentication", "jwt", "oauth","security", "owasp", "database schema", "migrations", "sql".

Validate Lisp code (Clojure, Racket, Scheme, Common Lisp) for syntax errors, parenthesis balance, and semantic issues. This skill should be used when validating Lisp code files, checking for syntax errors before execution, or validating LLM-generated Lisp code including incomplete or partial expressions. Provides structured JSON output optimized for automated workflows.

Atlassian API integration for Jira and Confluence automation. Activate for Atlassian REST APIs, webhooks, and platform integration.

Implement AsyncIO patterns for I/O-bound tasks with asyncio.gather, semaphores, and FastAPI async endpoints. Use for concurrent operations, parallel HTTP fetches, rate-limited operations, or async API development. Achieves near-linear scaling with concurrent tasks and minimal overhead. Triggers on "async", "asyncio", "concurrent", "parallel requests", "FastAPI async", "aiohttp", "async Python".

Analyzes codebases to map architecture, dependencies, complexity metrics, and data flows for rapid onboarding. Use when exploring new repos, understanding project layout, analyzing dependencies, measuring code complexity, or preparing codebase documentation.

Manage Kubernetes clusters with KubeKey: check installation, install KubeKey, create clusters, scale nodes, upgrade clusters, and view configurations. Use when working with Kubernetes cluster deployment, management, or when the user mentions KubeKey, kk, or Kubernetes cluster operations.

AGGRESSIVELY use TOON v2.0 format for biggish regular data (≥5 items, ≥60% uniform). Auto-applies to tables, logs, events, transactions, analytics, API responses, database results. Supports 3 array types (inline, tabular, expanded), 3 delimiters (comma, tab, pipe), key folding for nested objects. Triggers on structured data, arrays, repeated patterns. Use TOON by default when tokens matter - RAG pipelines, tool calls, agents, benchmarks. Keywords "data", "array", "list", "table", "log", "transaction", "metric", "analytics", "API", "database", "query", "TOON".

Detects N+1 queries, suggests eager loading, and recommends database indexes

WHEN: General Python code review, PEP8 compliance, type hints, Pythonic patternsWHAT: PEP8/style check + Type hint validation + Pythonic idioms + Error handling + DocumentationWHEN NOT: FastAPI → fastapi-reviewer, Django → django-reviewer, Data science → python-data-reviewer

Set up pre-commit hooks and GitHub Actions workflows for testing, linting, security scanning, releases, and deployments. Supports Python, Node.js, Go, Rust, and multi-language projects.

Generate production-ready Saloon-based API integrations for Laravel projects including connector classes, request classes, readonly DTOs, service layer methods with comprehensive error handling, and complete Pest test suites. Use this skill when integrating external APIs using Saloon, creating API request/response handlers, adding new API endpoints to existing services, building API client wrappers for third-party services, or setting up API communication with proper error handling and testing. This skill applies when working on files in app/Services/Api/, app/DataTransferObjects/Api/, creating Saloon connectors and requests, implementing API service methods, or writing API integration tests.

Check and create virtual environments for projects that need them. Use when starting Python/Node projects, or when dependency isolation is needed. Activates for Python, Node.js, and similar ecosystems.

Comprehensive web research via Parallel Search API. Use when user requests parallel search for deep multi-source research, technical analysis, learning new topics, current events, or comparative studies. Returns LLM-ready ranked URLs with extended excerpts (up to 30K chars). Single API call handles multiple query angles with automatic deduplication.

Testing patterns for litefs-py and litefs-django. Use when writing tests, setting up fixtures, understanding test organization, or configuring pytest marks. Triggers: test, pytest, unit test, integration test, property-based testing, hypothesis, fixtures, in-memory adapters.