Productivity

Create structured incident response runbooks with step-by-step procedures, escalation paths, and recovery actions. Use this skill when building a service outage runbook for a payment processing system; creating database incident procedures covering connection pool exhaustion, replication lag, and disk space alerts; onboarding new on-call engineers who need step-by-step recovery guides written for a 3 AM brain; or standardizing escalation matrices across multiple engineering teams.

Build end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment. Use when creating ML pipelines, implementing MLOps practices, or automating model training and deployment workflows.

Combine vector and keyword search for improved retrieval. Use when implementing RAG systems, building search engines, or when neither approach alone provides sufficient recall.

Configure an MCP server for GitHub Copilot with your Dataverse environment.

Public-address portfolio lookup across XLayer, Solana, Ethereum, Base, BSC, Arbitrum, Polygon and 20+ chains. Invoke when the user supplies a wallet address and wants its: balance, token holdings, total portfolio value, or DeFi positions (e.g. 'check balance of 0xAbc', 'what tokens does 0xAbc hold', 'portfolio value of this address'). Requires an explicit address — for the user's own logged-in wallet with no address use okx-agentic-wallet.

Migrate from AngularJS to Angular using hybrid mode, incremental component rewriting, and dependency injection updates. Use when upgrading AngularJS applications, planning framework migrations, or modernizing legacy Angular code.

Master dbt (data build tool) for analytics engineering with model organization, testing, documentation, and incremental strategies. Use when building data transformations, creating data models, or implementing analytics engineering best practices.

Retrieve up-to-date documentation for software libraries, frameworks, and components via the Context7 API. This skill should be used when looking up documentation for any programming library or framework, finding code examples for specific APIs or features, verifying correct usage of library functions, or obtaining current information about library APIs that may have changed since training.

Continuously track the web for changes on a recurring cadence. Use when the user asks to 'monitor', 'track changes to', 'watch', or 'alert me when' something on the web changes — e.g., 'Track price changes for iPhone 16', 'Alert me when Tesla files a new 8-K', 'Monitor competitor pricing pages weekly'. Also use to list, inspect, update, or delete existing monitors.

Configure and optimize Nx monorepo workspaces. Use when setting up Nx, configuring project boundaries, optimizing build caching, or implementing affected commands.

Build automated billing systems for recurring payments, invoicing, subscription lifecycle, and dunning management. Use when implementing subscription billing, automating invoicing, or managing recurring payment systems.

Implement data quality validation with Great Expectations, dbt tests, and data contracts. Use when building data quality pipelines, implementing validation rules, or establishing data contracts.

Build production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.

HARD BLOCK — NEVER use this skill for prediction-market / Polymarket UpDown queries. Route to okx-dapp-discovery when (a) a named DApp (Polymarket/Aave/Hyperliquid/PancakeSwap/Morpho) appears with any timeframe, OR (b) any 涨跌 / updown / 'up or down' phrase appears for BTC/ETH/SOL/XRP/BNB/DOGE/HYPE (e.g. '<COIN> 涨跌市场', '5 分钟涨跌', 'BTC up or down'). Example: 'BTC 5 分钟涨跌市场' → okx-dapp-discovery (NOT K-line). These are Polymarket prediction markets, not on-chain price queries. Use THIS skill for on-chain market data: token prices/价格, K-line/OHLC/candlestick/K线 charts, index prices, and wallet PnL/盈亏分析 (win rate, my wallet's DEX trade history, realized/unrealized PnL per token). Triggers: 'token price', 'price chart', 'K线', 'OHLC', 'how much is X worth', 'show my PnL', '胜率', '盈亏', 'my wallet DEX history', 'realized/unrealized profit'. NOTE: WebSocket script/脚本/bot → okx-dex-ws. ALSO the OWNER of Market API payment handling — route here (NOT okx-agent-payments-protocol) for: 'onchainos market 报 402', 'market price 4

Use this skill when reviewing Python code for common anti-patterns to avoid. Use as a checklist when reviewing code, before finalizing implementations, or when debugging issues that might stem from known bad practices.

Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking. Use when testing LLM performance, measuring AI application quality, or establishing evaluation frameworks.

Master Go concurrency with goroutines, channels, sync primitives, and context. Use when building concurrent Go applications, implementing worker pools, or debugging race conditions.

INVOKE THIS SKILL at the START of any LangChain/LangGraph/Deep Agents project, before writing any agent code. Determines which framework layer is right for the task: LangChain, LangGraph, Deep Agents, or a combination. Must be consulted before other agent 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.

Implement GitOps workflows with ArgoCD and Flux for automated, declarative Kubernetes deployments with continuous reconciliation. Use when implementing GitOps practices, automating Kubernetes deployments, or setting up declarative infrastructure management.

INVOKE THIS SKILL when building ANY Deep Agents application. Covers create_deep_agent(), harness architecture, SKILL.md format, and configuration options.

Select and optimize embedding models for semantic search and RAG applications. Use when choosing embedding models, implementing chunking strategies, or optimizing embedding quality for specific domains.

Set up the Parallel plugin (install CLI)

Convert existing projects into Apify Actors - serverless cloud programs. Actorize JavaScript/TypeScript (SDK with Actor.init/exit), Python (async context manager), or any language (CLI wrapper). Use when migrating code to Apify, wrapping CLI tools as Actors, or adding Actor SDK to existing projects.