turbo-pipelines

goldsky-io/goldsky-agent

Turbo pipeline YAML reference and architecture guide. Covers: YAML field syntax (startat, from, version, primarykey), source/transform/sink configuration, validation errors, resource sizing (xs–xxl), architecture decisions (dataset vs kafka, streaming vs job, fan-out vs fan-in, sink selection, pipeline splitting). Triggers on: 'what does field X do', 'what fields does a postgres sink need', 'what resource size', 'should I use kafka or dataset', 'how to structure my pipeline'. For writing transforms, use /turbo-transforms. For end-to-end building, use /turbo-builder.

turbo-transforms

goldsky-io/goldsky-agent

Write SQL, TypeScript, and dynamic table transforms for Turbo pipelines. Covers: decoding EVM logs with gslogdecode, filtering/casting blockchain data, UNION ALL for combining events, TypeScript/WASM transforms (invoke function), dynamic lookup tables (dynamictablecheck), transform chaining, and Solana decoding. Triggers on: 'decode Transfer events', 'write a SQL transform', 'filter by contract', 'TypeScript transform', 'dynamic table', 'UNION ALL'. For pipeline YAML structure, use /turbo-pipelines. For end-to-end building, use /turbo-builder.

turbo-doctor

goldsky-io/goldsky-agent

Diagnose and fix broken Goldsky Turbo pipelines interactively. Triggers on: pipeline in error state, stuck starting, connection refused, not getting data, duplicate rows, missing fields, slow backfill, or any named pipeline misbehaving. Runs logs/status commands, identifies root cause, and offers fixes. For CLI syntax or error pattern lookup without an active problem, use /turbo-operations instead.

turbo-builder

goldsky-io/goldsky-agent

Build and deploy new Goldsky Turbo pipelines: requirements, dataset selection, YAML, validation, and deployment. Use for 'build a pipeline', 'index X on Y chain', or moving chain/contract data into Postgres, MySQL, ClickHouse, Kafka, Pub/Sub, S3, SQS, or webhooks. Also use for data goals such as Polymarket fills/positions/PnL, prediction markets, stablecoin or circulating supply, proof of reserves, sanctions/AML transfer monitoring, deposit detection, CCTP burns/mints, cross-chain settlement, payment reconciliation, wallet history streamed into the user's own database, token holder registries, tokenized equities/RWA, and wash-trading detection. A REST lookup of one wallet's balances or transfers is /feeds, not a pipeline, and so is a read of Polymarket activity, positions or balances. Debug existing pipelines with /turbo-doctor; look up syntax with /turbo-pipelines.

datasets

goldsky-io/goldsky-agent

Use this skill when the user needs to look up or verify Goldsky blockchain dataset names, chain prefixes, dataset types, or versions. Triggers on questions like 'what\'s the dataset name for X?', 'what prefix does Goldsky use for chain Y?', 'what version should I use for Z?', or 'what datasets are available for Solana/Stellar/Arbitrum/etc?'. Also use for chain-specific dataset questions (e.g., polygon vs matic prefix, stellarnet balance datasets, solana token transfer dataset names), and to answer 'is there a dataset for X?' where X is a domain rather than a chain — decoded logs, token transfers and balances, mint/burn events for circulating supply, DEX or prediction-market activity (Polymarket), or the raw blocks, transactions and traces behind wallet history and reconciliation. Do NOT trigger for questions about CLI commands, pipeline setup, or general Goldsky architecture unless the core question is about finding the right dataset name or chain prefix. Wallet Feeds API queries are /

auth-setup

goldsky-io/goldsky-agent

Set up Goldsky CLI authentication and project configuration. Use this skill when the user needs to: install the goldsky CLI (what's the official install command?), run goldsky login (including when the browser opens but 'authentication failed'), run goldsky project list and see 'not logged in' or 'unauthorized', switch between Goldsky projects, check which project they're currently authenticated to, or fix 'unauthorized' errors when running goldsky turbo commands. Also use for 'walk me through setting up goldsky CLI from scratch for the first time', and when they just installed Goldsky and say 'Set it up and help me get started'. If any other Goldsky skill hits an auth error, redirect here first.

microsoft-foundry

microsoft/azure-skills

Build, deploy, evaluate, optimize, fine-tune, and manage Microsoft Foundry agents, models, and resources end to end. USE FOR: foundry, azd ai agent, azd provision/deploy, hosted agent scaffold/develop/run/deploy/troubleshoot, prompt agent create, managed harness agent create, GitHub Copilot harness agent, create agent, update agent, add tool to agent, invoke agent, agent insights, evaluate agent, batch eval, continuous eval, continuous monitoring, agent CI/CD, optimize prompt, improve prompt, optimize agent instructions, Agent Optimizer scaffold, dataset curation from traces, deploy model, model fine-tuning (SFT/DPO/RFT), Foundry project, RBAC, role assignment, permissions, quota, capacity, region, deployment failure, AI Services, create Foundry resource, knowledge index, customize deployment, onboard, availability, training-data, grader, distillation, large file upload. DO NOT USE FOR: Azure Functions, App Service, general Azure deploy (use azure-deploy), general Azure prep (use azure

azure-diagnostics

microsoft/azure-skills

Debug Azure production issues on Azure using AppLens, Azure Monitor, resource health, and safe triage. WHEN: debug production issues, troubleshoot app service, app service high CPU, app service deployment failure, troubleshoot container apps, container app 503 or target port mismatch, troubleshoot functions, function telemetry missing or stopped after a config/connection-string change, troubleshoot AKS, VM RDP, Linux SSH, VM black screen, can't connect to VM, reset VM password, NSG or firewall blocking, kubectl cannot connect, kube-system/CoreDNS failures, pod pending, crashloop, node not ready, upgrade failures, analyze logs, KQL, insights, image pull failures, cold start issues, health probe failures, resource health, root cause of errors, troubleshoot event hubs, troubleshoot service bus, messaging SDK error, AMQP connection failure, message lock lost, lock renewal during long-running processing, service bus dead letter.

azure-prepare

microsoft/azure-skills

Prepare azd-based Azure projects for deployment: generates azure.yaml, infrastructure (Bicep/Terraform), and Dockerfiles for the Azure Developer CLI (azd) workflow. USE ONLY when the user explicitly wants to use azd as the deployment tool, or the project already has an azure.yaml file. DO NOT USE FOR: non-azd deployments, Python App Service code-only deploys (use python-appservice-deploy), or cross-cloud migration (use azure-cloud-migrate). WHEN: prepare app for azd, create azure.yaml, set up azd infrastructure, modernize app for Azure with azd, deploy with azd, function app, timer trigger, service bus trigger, event-driven function, managed identity, generate Bicep, generate Terraform, create and deploy to Azure.

azure-ai

microsoft/azure-skills

Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, OCR, convert text to speech.

azure-deploy

microsoft/azure-skills

Execute Azure deployments for ALREADY-PREPARED applications that have existing .azure/deployment-plan.md and infrastructure files. DO NOT use this skill when the user asks to CREATE a new application — use azure-prepare instead. This skill runs azd up, azd deploy, terraform apply, and az deployment commands with built-in error recovery. Requires .azure/deployment-plan.md from azure-prepare and validated status from azure-validate. WHEN: "run azd up", "run azd deploy", "execute deployment", "push to production", "push to cloud", "go live", "ship it", "bicep deploy", "terraform apply", "publish to Azure", "launch on Azure". DO NOT USE WHEN: "create and deploy", "build and deploy", "create a new app", "set up infrastructure", "create and deploy to Azure using Terraform" — use azure-prepare for these.

azure-validate

microsoft/azure-skills

Pre-deployment validation for Azure readiness. Run deep checks on configuration, infrastructure (Bicep or Terraform), RBAC role assignments, managed identity permissions, and prerequisites before deploying. WHEN: validate my app, check deployment readiness, run preflight checks, verify configuration, check if ready to deploy, validate azure.yaml, validate Bicep, test before deploying, troubleshoot deployment errors, validate Azure Functions, validate function app, validate serverless deployment, verify RBAC roles, check role assignments, review managed identity permissions, what-if analysis, validate Container Apps deployment.