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hevlayer-docs

Query the hev layer docs from the command line. Use when the user asks about Layer — the turbopuffer gateway, stable reads, the stable watermark, the document cache, warm jobs, scans (filter, full-text, and radius), snapshots, pipelines, UDFs, the Index/InfraRules/Pipeline/Function CRDs, compute pools, install via Terraform or Helm, failure modes, or the dashboard.

소스 정보

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hev/layer
최근 소스 활동
2026년 9월 27일 15:41
감지된 SKILL.md 언어
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hevlayer-docs: answer Layer questions from its

Search hev layer documentation from the command line and cite the returned sections when answering product questions.

Prerequisites

The source uses the keyless ask CLI endpoint and gives a Go install command when the ask command is absent.

How to use

Start with a docs search, fetch a section for detail and use the overview for a map of available sections.

설치 방법

기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.

소스 파일 검토

설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.

SKILL.md 표시 중

SKILL.md
소스 지침 · 읽기 전용 미리보기
name
hevlayer-docs
description
Query the hev layer docs from the command line. Use when the user asks about Layer — the turbopuffer gateway, stable reads, the stable watermark, the document cache, warm jobs, scans (filter, full-text, and radius), snapshots, pipelines, UDFs, the Index/InfraRules/Pipeline/Function CRDs, compute pools, install via Terraform or Helm, failure modes, or the dashboard.
# hev layer docs Answer Layer questions from the docs, not from memory. Every verb is a keyless read — nothing to sign up for, nothing to configure beyond the endpoint. ask --endpoint https://hevlayer.com/api/ask/ce search "<question>" ask --endpoint https://hevlayer.com/api/ask/ce section get "<id>" ask --endpoint https://hevlayer.com/api/ask/ce overview ask --endpoint https://hevlayer.com/api/ask/ce glossary get "<term>" Start with `search`; fetch sections for detail; use `overview` when you need the full map. The `ce` endpoint serves the Community Edition view of the docs; use `https://hevlayer.com/api/ask/pro` for the full product. Section ids look like `api/query#stable-reads`. Cite sections in your answer as https://hevlayer.com plus the returned `url` field. | Verb | Returns | | --- | --- | | `overview` | Orientation context plus the full section map with stable ids | | `search "<query>"` | Ranked sections with snippets and deep links | | `section get "<id>"` | One section: summary, exact identifiers, source URL | | `glossary get "<term>"` | A product term resolved through its aliases | Search runs over a committed, reviewable digest of the docs — the same corpus, heading by heading, that renders on the site. Every anchor is verified against the rendered pages in CI, so a cited deep link always resolves. If `ask` is missing, install it: `go install github.com/hev/ask/cmd/ask@latest` The docs are also available as plain text at https://hevlayer.com/docs/ce/llms.txt (index) and https://hevlayer.com/docs/ce/llms-full.txt (full corpus). Prefer the CLI when you can run commands — it ranks, resolves aliases, and costs a fraction of the tokens.
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