turbo-pipelines
Design and Validate Turbo Pipelines
Pipeline configuration can be difficult when sources, transforms, sinks, and deployment modes interact. This skill provides practical YAML guidance and architecture decisions for reliable Goldsky Turbo designs.
์ด Skill์ ์๋์ผ๋ก ์ค์นํ์ง ๋ง์ธ์.
๊ณต์ ์ ์ฑ ์ ๋ฐ๋ผ ์ค์น ์์ ์ ์ ์ด์์ ๊ฒํ ๊ฐ ํ์ํฉ๋๋ค.
๋ด ์์ด์ ํธ๋ก ์ค์น
์ด ์์ฒญ์ ์์ด์ ํธ์ ๋ณต์ฌํ์ธ์. ๊ณต์ Skill ํ์ด์ง์ ๋งค๋ํ์คํธ๊ฐ ํฌํจ๋์ด ์์ต๋๋ค.
Review the Skillstore skill "turbo-pipelines" from https://skillstore.io/skills/goldsky-io-turbo-pipelines.md and its manifest at https://skillstore.io/api/skills/goldsky-io-turbo-pipelines/manifest. Verify the artifact. Do not auto-install. Inspect the skill and report your findings, then wait for an operator or manual installation decision.์์ด์ ํธ๋ ๊ณ์ํด์ ๊ณํ์ ํ์ํ๊ณ ๋ณด์ ์ ์ฑ ์์ ์๊ตฌํ๋ ํ์ธ์ ์์ฒญํด์ผ ํฉ๋๋ค.
์์ด์ ํธ๊ฐ ์ฝ๊ธฐ ์ฌ์ด ๋ฆฌ์์ค
AI ์์ด์ ํธ, ํฌ๋กค๋ฌ, ์คํฌ๋ฆฝํธ๊ฐ ์ ์ฒด ํ์ด์ง ๋์ ์ ๋ฆฌ๋ ์ปจํ ์คํธ๋ง ํ์ํ ๋ ์ด ๋งํฌ๋ฅผ ์ฌ์ฉํ์ธ์.
ํ ์คํธํด ๋ณด๊ธฐ
"turbo-pipelines" ์ฌ์ฉ ์ค์ ๋๋ค. When should I use a dataset source with `start_at: earliest`?
์์ ๊ฒฐ๊ณผ:
Use it when the pipeline must process available history before continuing with new events. Bound the work for large backfills and confirm the destination can store the result.
"turbo-pipelines" ์ฌ์ฉ ์ค์ ๋๋ค. Should three destinations use separate pipelines?
์์ ๊ฒฐ๊ณผ:
Use one pipeline with multiple sinks when the destinations share the same source and lifecycle. Split pipelines when sources, resource sizes, or deployment lifecycles differ.
"turbo-pipelines" ์ฌ์ฉ ์ค์ ๋๋ค. What should I check after a validation error?
์์ ๊ฒฐ๊ณผ:
- Confirm names, required fields, and source references.
- Check primary keys and SQL references.
- Validate bounds, credentials, and destination capacity before deployment.
๋ณด์ ๊ฐ์ฌ
์น๋ช ์ Most static matches are documentation false positives involving Markdown syntax, URLs, field names, and a targeted troubleshooting path. The installer examples that pipe remote content directly to a shell are confirmed critical risks and require removal or a verified installation process.
ํ์ธ๋ ๋ณด์ ์ฐ๋ ค ์ฌํญ (7)
์ํ ์์ธ
โ๏ธ ์ธ๋ถ ๋ช ๋ น์ด (50)
๐ ๋คํธ์ํฌ ์ ๊ทผ (11)
๐ ํ์ผ ์์คํ ์ ๊ทผ (2)
๊ฐ์ง๋ ํจํด
์ด ๋ณด๊ณ ์ ๊ณต์ ๋ฐ ์ธ์ฉ
๋ฒ์ ์ด ์ง์ ๋ ํ๊ฐ ๋ณด๊ณ ์, ์ค๋ฆฝ ๋ฐฐ์ง, ์๋ฒ ๋ ์นด๋ ๋ฐ ์ธ์ฉ์ ๊ณต์ ํ์ธ์. Skillstore๋ ๊ทผ๊ฑฐ๋ฅผ ๋ณด๊ณ ํ์ง๋ง ์ด Skill์ ์์ ์ฌ๋ถ๋ฅผ ํ๋จํ์ง ์์ต๋๋ค.
๋ณด๊ณ ์ ๋งํฌ ๋ณต์ฌ
https://skillstore.io/skills/goldsky-io-turbo-pipelines/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdown ๋ฐฐ์ง
[](https://skillstore.io/skills/goldsky-io-turbo-pipelines?utm_source=security_passport_badge)HTML ๋ฐฐ์ง
<a href="https://skillstore.io/skills/goldsky-io-turbo-pipelines?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/goldsky-io-turbo-pipelines/security.svg" alt="Skillstore security assessment" loading="lazy"></a>์๋ฒ ๋ ์นด๋
<iframe src="https://skillstore.io/embed/skills/goldsky-io-turbo-pipelines.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>ํ์ ์ธ์ฉ (APA ยท BibTeX ยท CFF)
APA ์ธ์ฉ
goldsky-io. (2026). turbo-pipelines security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/goldsky-io-turbo-pipelines/audits/1BibTeX ์ธ์ฉ
@techreport{goldsky-io-goldsky-io-turbo-pipelines-2026,
author = {goldsky-io},
title = {turbo-pipelines security audit report (audit version 1)},
institution = {Skillstore},
year = {2026},
number = {1},
url = {https://skillstore.io/skills/goldsky-io-turbo-pipelines/audits/1},
note = {Author version unspecified}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "turbo-pipelines security audit report (audit version 1)"
version: "unspecified"
type: report
authors:
- name: "goldsky-io"
date-released: "2026-09-28"
url: "https://skillstore.io/skills/goldsky-io-turbo-pipelines/audits/1"
identifiers:
- type: other
value: "skillstore:goldsky-io-turbo-pipelines:audit:1"
description: "Skillstore immutable audit report identifier"
Skillstore ์ ์
์ด ์ ์์ ์ด์ ์ฆ๊ฑฐ ์ ๋ขฐ๋: ๋ฎ์๋ง๋ค ์ ์๋ ๊ฒ
Choose a Pipeline Architecture
Compare sources, modes, resource sizes, and sink layouts before starting a new data pipeline.
Configure a Production Sink
Check required fields and connection patterns for PostgreSQL, ClickHouse, Kafka, Pub/Sub, webhooks, or storage sinks.
Troubleshoot Pipeline Validation
Map common validation and runtime errors to likely configuration fixes and verification steps.
์ด ํ๋กฌํํธ๋ฅผ ์ฌ์ฉํด ๋ณด์ธ์
Explain what the `start_at` field does in a dataset source. Compare `earliest` and `latest`, and state when each is appropriate.
I need historical blockchain data followed by live updates. Recommend a source and mode, explain the tradeoffs, and list the fields I should verify.
Design a fan-out pipeline that sends one source to PostgreSQL, Kafka, and object storage. Explain the source, transforms, sink references, and sizing choices.
Review my multi-chain pipeline architecture. Compare one multi-source pipeline with separate per-chain pipelines, then identify checkpoint, resource, and failure-isolation concerns.
๋ชจ๋ฒ ์ฌ๋ก
- Set an explicit source start position and bound historical backfills.
- Validate the complete configuration before deployment.
- Match resource size and destination capacity to expected volume.
ํผํ๊ธฐ
- Do not split one shared source into separate pipelines without a lifecycle reason.
- Do not deploy an unbounded historical backfill to a small destination.
- Do not treat undocumented source or sink names as guaranteed service features.
์์ฃผ ๋ฌป๋ ์ง๋ฌธ
What does this skill cover?
Can it deploy my pipeline?
When should I choose a dataset source?
When should I choose Kafka?
How do I choose streaming or job mode?
Does it manage secrets?
๊ฐ๋ฐ์ ์ธ๋ถ ์ ๋ณด
์์ฑ์
goldsky-io๋ผ์ด์ ์ค
MIT
Skillstore ๋ฆฌ๋น์
r1
๋ฒ์ ์๋ด
์์ฑ์๊ฐ ๋ฒ์ ์ ์ ์ธํ์ง ์์์ต๋๋ค.
๋ฆฌํฌ์งํ ๋ฆฌ
https://github.com/goldsky-io/goldsky-agent/tree/e8e18c16233d9a7cee64dc548ba779c5fb99205a/skills/turbo-pipelines์ฐธ์กฐ
8b5ad1599e7c55e9b6c627bca3f556f6e9061cb1
์ ์ง๋ณด์ ์ต์ ์ฑ
2026. 9. 30.
์ฌ์ฉ๋
0 ๋ค์ด๋ก๋ ยท 0 ์กฐํ
ํ์ผ ๊ตฌ์กฐ
๐ evals/
๐ trigger-eval.json
๐ references/
๐ troubleshooting.md
๐ SKILL.md
๐ templates/
๐ fan-in-pipeline.yaml
๐ filtered-transfers-sql.yaml
๐ linear-pipeline.yaml
๐ minimal-erc20-blackhole.yaml
๐ multi-chain-pipeline.yaml
๐ multi-chain-templated.yaml
๐ postgres-output.yaml
๐ pubsub-output.yaml