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query-layer查询层

Agent Skill

query-layer 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

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下载量

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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:query-layer(查询层)
来源仓库:https://github.com/epicenterhq/epicenter
仓库路径:skills/query-layer
安装命令:
npx skills add https://github.com/epicenterhq/epicenter --skill query-layer
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/epicenterhq/epicenter --skill query-layer

简介

用于处理 GitHub 仓库和协作信息,支持 Issue 与 PR 管理。

  • 适合围绕代码变更和仓库状态进行整理与跟踪。query-layer 属于前端设计类 Skill,可作为该场景下的辅助能力补充。
  • 可结合仓库 README 核验具体用法,提升协作效率。
  • 安装前建议确认 token 权限和仓库访问范围。
  • 适用于 Codex、Claude、Cursor 等主流 AI 宿主环境。

SKILL.md

Query Layer Patterns

Reference Repositories

The query layer is the reactive bridge between UI components and the service layer. It wraps pure service functions with caching, reactivity, and state management using TanStack Query and WellCrafted factories.

Related Skills: See services-layer for the service layer these queries consume. See svelte for Svelte-specific TanStack Query patterns. See error-handling for toast-on-error patterns—how errors from Results surface to users via toastOnError and extractErrorMessage.

When to Apply This Skill

Use this pattern when you need to:

  • Create queries or mutations that consume services
  • Transform service-layer errors into user-facing error types
  • Implement runtime service selection based on user settings
  • Add optimistic cache updates for instant UI feedback
  • Understand the dual interface pattern (reactive vs imperative)

Core Architecture

┌─────────────┐     ┌─────────────┐     ┌──────────────┐
│     UI      │ --> │  RPC/Query  │ --> │   Services   │
│ Components  │     │    Layer    │     │    (Pure)    │
└─────────────┘     └─────────────┘     └──────────────┘
      ↑                    │
      └────────────────────┘
         Reactive Updates

Query Layer Responsibilities:

  • Call services with injected settings/configuration
  • Transform service errors to user-facing error types for display
  • Manage TanStack Query cache for optimistic updates
  • Provide dual interfaces: reactive (.options) and imperative (.execute())

Error Transformation Pattern

Critical: Service errors should be transformed to user-facing error types at the query layer boundary.

Three-Layer Error Flow

Service Layer         →  Query Layer           →  UI Layer
TaggedError<'Name'>   →  UserFacingError       →  Toast notification
(domain-specific)        (display-ready)          (display)

Standard Error Transformation

import { Err, Ok } from 'wellcrafted/result';

// In query layer - transform service error to user-facing error
const { data, error } = await services.recorder.startRecording(params);

if (error) {
	return Err({
		title: '❌ Failed to start recording',
		description: error.message,
		action: { type: 'more-details', error },
	});
}

return Ok(data);

Dual Interface Pattern

Every query/mutation provides two ways to use it:

Reactive Interface: .options

Use in Svelte components for automatic state management. Pass .options (a static object) inside an accessor function:

<script lang="ts">
	import { createQuery, createMutation } from '@tanstack/svelte-query';
	import { rpc } from '$lib/query';

	// Reactive query - wrap in accessor function, access .options (no parentheses)
	const recorderState = createQuery(() => rpc.recorder.getRecorderState.options);

	// Reactive mutation - same pattern
	const transformRecording = createMutation(
		rpc.transformer.transformRecording.options,
	);
</script>

{#if recorderState.isPending}
	<Spinner />
{:else if recorderState.error}
	<Error message={recorderState.error.description} />
{:else}
	<RecorderIndicator state={recorderState.data} />
{/if}

Imperative Interface: .execute() / .fetch()

Use in event handlers and workflows without reactive overhead:

// In an event handler or workflow
async function handleTransform(recordingId: string, transformation: Transformation) {
	const { error } = await rpc.transformer.transformRecording({
		recordingId,
		transformation,
	});
	if (error) {
		notify.error(error);
		return;
	}
	notify.success({ title: 'Transformation complete' });
}

// In a sequential workflow
async function stopAndTranscribe(toastId: string) {
	const { data: blobData, error: stopError } =
		await rpc.recorder.stopRecording({ toastId });

	if (stopError) {
		notify.error(stopError);
		return;
	}

	// Continue with transcription...
}

When to Use Each

Use .options with createQuery/createMutationUse .execute()/.fetch()
Component data displayEvent handlers
Loading spinners neededSequential workflows
Auto-refetch wantedOne-time operations
Reactive state neededOutside component context
Cache synchronizationPerformance-critical paths

Key Rules

  1. Always transform errors at query boundary - Never return raw service errors
  2. Use .options (no parentheses) - It's a static object, wrap in accessor for Svelte
  3. Never double-wrap errors - Each error is wrapped exactly once
  4. Services are pure, queries inject settings - Services take explicit params
  5. Use imperative calls in .ts files - createMutation requires component context
  6. Update cache optimistically - Better UX for mutations

References

Load these on demand based on what you're working on:

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能力 2

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能力 3

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能力 4

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安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

36.84%
按下载量换算173

Claude

32.25%
按下载量换算152

Cursor

18.21%
按下载量换算86

Gemini CLI

9.47%
按下载量换算45

安全审计

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通过

Socket

通过

Snyk

通过

权限和风险

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该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

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来源信息

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