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Uses Context7 MCP to fetch current library and framework documentation. Invoked for API references, setup questions, and code examples.

Security vulnerability detection and remediation specialist. Flags secrets, SSRF, injection, unsafe crypto, and OWASP Top 10 vulnerabilities in code that handles user input, authentication, API endpoints, or sensitive data.

Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, patterns to catch blind spots where the same model writes and reviews code.

Comprehensive REST API design review with automated linting, breaking-change detection, and design scorecards. Catches inconsistent conventions, missing versioning, and design smells before APIs ship. Use when reviewing a PR that adds or changes API endpoints, auditing an existing API for v2 migration, or establishing API standards for a team.

Use when the user asks to generate API tests, create integration test suites, test REST endpoints, or build contract tests.

Design AWS architectures for startups using serverless patterns and IaC templates. Use when asked to design serverless architecture, create CloudFormation templates, optimize AWS costs, set up CI/CD pipelines, or migrate to AWS. Covers Lambda, API Gateway, DynamoDB, ECS, Aurora, and cost optimization.

Business investment analysis and capital allocation advisor. Use when evaluating whether to invest in equipment, real estate, a new business, hiring, technology, or any capital expenditure. Also use for ROI calculations, IRR, NPV, payback period, build vs buy decisions, lease vs buy analysis, vendor evaluation, or deciding where to allocate limited budget for maximum return.

/cs:cfo-review <plan> — Numerate-skeptic interrogation of any plan that touches money. Unit economics, runway, dilution, capital allocation.

Chief AI Officer advisory for startups: model build-vs-buy decisions (API vs fine-tune vs in-house), AI risk classification under EU AI Act + US state patchwork, AI cost economics (API-to-self-hosted breakeven), and AI team org evolution. Use when deciding whether to call an API or fine-tune, classifying AI use cases for regulatory risk, calculating when self-hosting pays off, sequencing AI hires, or when user mentions CAIO, AI strategy, model selection, foundation model, fine-tuning, EU AI A...

Reference for the Claude API / Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration. TRIGGER — read BEFORE opening the target file; don't skip because it "looks like a one-liner" — whenever: the prompt names Claude/Anthropic in any form (Claude, Anthropic, Opus, Sonnet, Haiku, `anthropic`, `@anthropic-ai`, `claude-*`, `us.anthropic.*`, `[1m]`); the user asks about an LLM (pricing/model choice/limits/caching) — never answer from memory; OR the task is LLM-shaped with provider unstated (agent/MCP/tool-definition/multi-agent/RAG…

Build automated AI-powered data collection agents for public sources: job boards, prices, news, GitHub, sports. Schedule scraping via GitHub Actions, enrich with LLM, store in Notion/Sheets/Supabase, and learn from user feedback.

Django architecture patterns: REST API design with DRF, ORM best practices, caching, signals, middleware, and production-grade Django apps.

Django testing strategies with pytest-django, TDD methodology, factory_boy, mocking, coverage, and testing Django REST Framework APIs.

Use up-to-date library and framework docs via Context7 MCP instead of training data. Activates for setup questions, API references, and code examples.

Go testing patterns: table-driven tests, subtests, benchmarks, fuzzing, httptest for API testing, testify assertions, and coverage measurement with TDD methodology.

Laravel architecture patterns: routing, controllers, Eloquent ORM, service layers, queues, events, caching, and API resources for production apps.

Reference MCP server wrapping Brave Search API for web and local search with result ranking, filtering, and structured data extraction.

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

Reference MCP server for Google Maps API covering geocoding, directions, place search, elevation data, and distance matrix calculations.

Process, convert, OCR, extract, redact, sign, and fill documents using the Nutrient DWS API. PDFs, DOCX, XLSX, PPTX, HTML, and images.

REST API design patterns: resource naming, HTTP methods, status codes, pagination, cursor-based filtering, error response envelopes, versioning strategies, and rate limiting configuration.

Spring Boot architecture: REST API design, layered services, data access, caching, async processing, and logging for Java backend services.

Messages API, streaming, tool use, caching

Context7 MCP for live API docs

Automate job board searches, filter by your criteria, and receive curated roles via email every morning.

Eloquent, queues, events, API resources

Resource naming, pagination, error responses, versioning

Protocol-based DI, mock APIs

OAuth, posting, timelines, rate limits