AI导哈

后端与数据库

mirror

goldsky-io/goldsky-agent

Use this skill when the user asks about Goldsky Mirror pipelines — creating, deploying, operating, or troubleshooting Mirror. Triggers on: 'Mirror pipeline', 'goldsky pipeline apply', 'sync subgraph to database', 'mirror vs turbo', 'direct indexing', 'mirror pipeline YAML', 'mirror pipeline pause/stop/restart'. Also use this skill when the user wants to sync a Goldsky subgraph into a database or message queue — Mirror is the only pipeline product that supports subgraph sources. For new pipelines that don't need a subgraph source, the turbo-builder skill is usually a better fit. Do NOT trigger on 'goldsky turbo' commands or generic 'build a pipeline' requests without subgraph context — those belong to the turbo skills.

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安装命令

npx skills add https://github.com/goldsky-io/goldsky-agent --skill mirror

SKILL.md

Goldsky Mirror Pipelines

Mirror is Goldsky's original streaming pipeline product. It reads onchain data from a source (a subgraph entity or a direct-indexing dataset), optionally applies transforms, and writes the result to a sink (your database or message queue).

Mirror vs Turbo — which should you use?

Mirror Turbo
Subgraph sources Yes No
Speed & reliability Good Faster, more reliable
Sink options See common Mirror sinks below See the Turbo sink catalog
Config complexity Moderate Simpler YAML
Dataset coverage 130+ chains 130+ chains, richer catalog

Use Turbo unless you need a subgraph source. Turbo is faster, more reliable, and actively gaining feature parity with Mirror — especially sink support. If you don't have a subgraph requirement, say "help me build a Turbo pipeline" and the /turbo-builder skill will guide you through a faster setup.

How Mirror Pipelines Work

相关 Skills

auth-setupgoldsky-io/goldsky-agentSet 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.其他4425turbo-buildergoldsky-io/goldsky-agentBuild 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.后端与数据库4422turbo-pipelinesgoldsky-io/goldsky-agentTurbo pipeline YAML reference and architecture guide. Covers: YAML field syntax (start_at, from, version, primary_key), 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.后端与数据库4419datasetsgoldsky-io/goldsky-agentUse 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. Feeds REST queries (Polymarket, blocks) are /feeds.其他4412turbo-transformsgoldsky-io/goldsky-agentWrite SQL, TypeScript, and dynamic table transforms for Turbo pipelines. Covers: decoding EVM logs with _gs_log_decode, filtering/casting blockchain data, UNION ALL for combining events, TypeScript/WASM transforms (invoke function), dynamic lookup tables (dynamic_table_check), 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.后端与数据库4409turbo-doctorgoldsky-io/goldsky-agentDiagnose 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.数据与研究4407