Browse skills

Restructure and optimize alert rules for monitoring platforms (Sentry, PagerDuty, Datadog, OpsGenie). Use when someone asks to "reduce alert noise", "fix alert fatigue", "create alert rules", "set up escalation policies", "tune alerting thresholds", or "create on-call runbooks". Generates platform-specific alert configurations and tiered escalation policies.

Alpine.js is a lightweight JavaScript framework for adding interactivity to HTML markup. It provides reactive data, event handling, and DOM manipulation through HTML attributes — like a modern jQuery replacement with declarative syntax.

You are an expert in amqplib, the Node.js client for RabbitMQ and AMQP 0-9-1 protocol. You help developers implement reliable message queuing with work queues, pub/sub fanout, topic routing, RPC patterns, dead letter queues, and message acknowledgment — building decoupled microservices that communicate asynchronously through RabbitMQ.

Set up Claude Code hooks to block dangerous git commands (push, reset --hard, clean, branch -D, etc.) before they execute. Use when: user wants to prevent destructive git operations, add git safety hooks, or block git push/reset in Claude Code.

Process large-scale data with Apache Spark. Use when a user asks to process big data, run distributed computations, build ETL pipelines, perform data analysis at scale, or use PySpark for data engineering.

Test REST and GraphQL API endpoints with structured assertions and reporting. Use when a user asks to test an API, hit an endpoint, check if an API works, validate a response, debug an API call, test authentication flows, or verify API contracts. Supports GET, POST, PUT, PATCH, DELETE with headers, body, auth, and response validation.

You are an expert in Apollo Client, the comprehensive GraphQL client for React applications. You help developers fetch data with GraphQL queries and mutations, manage local and remote state with Apollo's normalized cache, implement optimistic UI updates, handle pagination, and configure authentication — providing a complete data management solution for GraphQL-powered apps.

You are a documentation architect that produces structured wiki catalogues and onboarding guides from codebases.

Screen job applications against requirements and score candidates objectively. Use when a user asks to review applications, evaluate candidates, screen resumes, rank applicants, assess qualifications against a job description, shortlist candidates, or build a hiring scorecard.

Implement safety guardrails for AI systems — content filtering, prompt injection detection, output validation, bias mitigation, and responsible AI practices. Use when tasks involve adding safety layers to LLM applications, detecting prompt injection attacks, filtering harmful content, implementing rate limiting for AI APIs, validating LLM outputs against schemas, building moderation pipelines, or ensuring AI systems comply with safety policies.

Build AI agents that automate scientific research — hypothesis generation, experiment design, data analysis, and paper writing using agentic tree search. Use when: automating research workflows, generating and testing hypotheses, building AI-powered research assistants.

Generate complete presentations with AI — from outline to polished slides. Use when a user asks to create a presentation, build slides, make a pitch deck, generate a slide deck, create a keynote, prepare a talk, build a demo presentation, or produce any slide-based content.

You are an expert in Aider, the terminal-based AI coding assistant that reads your codebase, makes changes across multiple files, and creates proper git commits. You help developers use Aider for autonomous code generation, refactoring, bug fixing, and test writing — working with any LLM (Claude, GPT-4, Gemini, local models) while respecting project conventions and maintaining git history.

Run an independent peer review via Codex. Use when the user asks to "peer review", "peer review my code", "peer review my plan", "peer review my spec", "peer review my shells", "get a second opinion", or "independent review".

Build algorithmic trading systems — backtesting, strategy development, live execution, and risk management. Use when tasks involve backtesting trading strategies, connecting to exchange APIs (Binance, Alpaca, Interactive Brokers), implementing technical indicators, portfolio optimization, order execution, risk management rules, market data processing, or building trading bots. Covers both crypto and traditional markets.

OWASP Amass for in-depth DNS enumeration, subdomain discovery, and network mapping with active and passive modes. Use when: comprehensive subdomain enumeration, ASN and IP range mapping, attack surface discovery, building full network topology of a target organization.

Expert guidance for Apache Arrow, the cross-language columnar memory format for analytics workloads. Helps developers use Arrow for high-performance data interchange between systems, zero-copy reads, and efficient columnar processing in Python (PyArrow) and JavaScript (Arrow JS).

Generates and executes load test scripts for APIs using k6, wrk, or autocannon. Creates realistic test scenarios from OpenAPI specs, route files, or endpoint descriptions. Use when someone needs to load test, stress test, benchmark, or find the breaking point of their API. Trigger words: load test, stress test, benchmark, RPS, concurrent users, breaking point, performance test, k6, wrk.

Version REST and GraphQL APIs. Use when a user asks to version an API, handle breaking changes, implement API deprecation, manage multiple API versions, or design an API evolution strategy.

When the user wants to automate mobile app testing on iOS and Android using Appium. Also use when the user mentions "appium," "mobile automation," "iOS testing," "Android testing," "mobile WebDriver," "XCUITest," or "UiAutomator." For React Native-specific testing, see detox.