fetchers — community fetchers, metrics-drilldown, community, ide skills, Claude Code, Cursor, Windsurf

v1.0.0

关于此技能

非常适合像 Claude Code、Cursor 或 Windsurf 这样的 AI 编码助手,它们需要简化的指标分析和 PromQL 查询处理。 Skill for the Fetchers area of metrics-drilldown. 11 symbols across 3 files.

grafana grafana
[25]
[9]
更新于: 3/19/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 7/11

This page remains useful for operators, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution
Review Score
7/11
Quality Score
40
Canonical Locale
en
Detected Body Locale
en

非常适合像 Claude Code、Cursor 或 Windsurf 这样的 AI 编码助手,它们需要简化的指标分析和 PromQL 查询处理。 Skill for the Fetchers area of metrics-drilldown. 11 symbols across 3 files.

核心价值

赋予代理快速找到相关指标而无需编写 PromQL 查询的能力,通过使用 fetchers 相关功能(如 extractMetricNames、fetchAlertingMetrics 和 fetchDashboardMetrics)简化工作流程,并提供高级数据可视化功能。

适用 Agent 类型

非常适合像 Claude Code、Cursor 或 Windsurf 这样的 AI 编码助手,它们需要简化的指标分析和 PromQL 查询处理。

赋予的主要能力 · fetchers

自动化仪表盘优化的指标分析
为警报系统生成相关指标
使用 updateMetricUsage 和 checkDashboardLimitExceeded 调试指标使用情况

! 使用限制与门槛

  • 需要 src/ 中代码的工作知识
  • 仅限 fetchers 相关功能
  • 凝聚度 83% 可能会影响复杂工作流程的性能

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.
  • - The underlying skill quality score is below the review floor.

Source Boundary

The section below is supporting source material from the upstream repository. Use the Killer-Skills review above as the primary decision layer.

实验室 Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

常见问题与安装步骤

以下问题与步骤与页面结构化数据保持一致,便于搜索引擎理解页面内容。

? FAQ

fetchers 是什么?

非常适合像 Claude Code、Cursor 或 Windsurf 这样的 AI 编码助手,它们需要简化的指标分析和 PromQL 查询处理。 Skill for the Fetchers area of metrics-drilldown. 11 symbols across 3 files.

如何安装 fetchers?

运行命令:npx killer-skills add grafana/metrics-drilldown/fetchers。支持 Cursor、Windsurf、VS Code、Claude Code 等 19+ IDE/Agent。

fetchers 适用于哪些场景?

典型场景包括:自动化仪表盘优化的指标分析、为警报系统生成相关指标、使用 updateMetricUsage 和 checkDashboardLimitExceeded 调试指标使用情况。

fetchers 支持哪些 IDE 或 Agent?

该技能兼容 Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer。可使用 Killer-Skills CLI 一条命令通用安装。

fetchers 有哪些限制?

需要 src/ 中代码的工作知识;仅限 fetchers 相关功能;凝聚度 83% 可能会影响复杂工作流程的性能。

安装步骤

  1. 1. 打开终端

    在你的项目目录中打开终端或命令行。

  2. 2. 执行安装命令

    运行:npx killer-skills add grafana/metrics-drilldown/fetchers。CLI 会自动识别 IDE 或 AI Agent 并完成配置。

  3. 3. 开始使用技能

    fetchers 已启用,可立即在当前项目中调用。

! 参考页模式

此页面仍可作为安装与查阅参考,但 Killer-Skills 不再把它视为主要可索引落地页。请优先阅读上方评审结论,再决定是否继续查看上游仓库说明。

Imported Repository Instructions

The section below is supporting source material from the upstream repository. Use the Killer-Skills review above as the primary decision layer.

Supporting Evidence

fetchers

安装 fetchers,这是一款面向AI agent workflows and automation的 AI Agent Skill。支持 Claude Code、Cursor、Windsurf,一键安装。

SKILL.md
Readonly
Imported Repository Instructions
The section below is supporting source material from the upstream repository. Use the Killer-Skills review above as the primary decision layer.
Supporting Evidence

Fetchers

11 symbols | 3 files | Cohesion: 83%

When to Use

  • Working with code in src/
  • Understanding how extractMetricNames, fetchAlertingMetrics, fetchDashboardMetrics work
  • Modifying fetchers-related functionality

Key Files

FileSymbols
src/MetricsReducer/list-controls/MetricsSorter/fetchers/fetchDashboardMetrics.tsprocessTargetsForMetrics, updateMetricUsage, fetchDashboardMetrics, checkDashboardLimitExceeded, getDashboardsWithPanels (+1)
src/MetricsReducer/list-controls/MetricsSorter/fetchers/fetchAlertingMetrics.tstransformCountsToAlertingUsage, fetchAlertingMetrics, parseAlertingRules
src/shared/utils/utils.promql.tsextractMetricNames, processIdentifier

Entry Points

Start here when exploring this area:

  • extractMetricNames (Function) — src/shared/utils/utils.promql.ts:21
  • fetchAlertingMetrics (Function) — src/MetricsReducer/list-controls/MetricsSorter/fetchers/fetchAlertingMetrics.ts:49
  • fetchDashboardMetrics (Function) — src/MetricsReducer/list-controls/MetricsSorter/fetchers/fetchDashboardMetrics.ts:78

Key Symbols

SymbolTypeFileLine
extractMetricNamesFunctionsrc/shared/utils/utils.promql.ts21
fetchAlertingMetricsFunctionsrc/MetricsReducer/list-controls/MetricsSorter/fetchers/fetchAlertingMetrics.ts49
fetchDashboardMetricsFunctionsrc/MetricsReducer/list-controls/MetricsSorter/fetchers/fetchDashboardMetrics.ts78
processIdentifierFunctionsrc/shared/utils/utils.promql.ts45
processTargetsForMetricsFunctionsrc/MetricsReducer/list-controls/MetricsSorter/fetchers/fetchDashboardMetrics.ts155
updateMetricUsageFunctionsrc/MetricsReducer/list-controls/MetricsSorter/fetchers/fetchDashboardMetrics.ts172
transformCountsToAlertingUsageFunctionsrc/MetricsReducer/list-controls/MetricsSorter/fetchers/fetchAlertingMetrics.ts34
parseAlertingRulesFunctionsrc/MetricsReducer/list-controls/MetricsSorter/fetchers/fetchAlertingMetrics.ts69
checkDashboardLimitExceededFunctionsrc/MetricsReducer/list-controls/MetricsSorter/fetchers/fetchDashboardMetrics.ts110
getDashboardsWithPanelsFunctionsrc/MetricsReducer/list-controls/MetricsSorter/fetchers/fetchDashboardMetrics.ts141
parseDashboardSearchResponseFunctionsrc/MetricsReducer/list-controls/MetricsSorter/fetchers/fetchDashboardMetrics.ts193

Connected Areas

AreaConnections
Labels1 calls
AppDataTrail1 calls

How to Explore

  1. gitnexus_context({name: "extractMetricNames"}) — see callers and callees
  2. gitnexus_query({query: "fetchers"}) — find related execution flows
  3. Read key files listed above for implementation details

相关技能

寻找 fetchers 的替代方案 (Alternative) 或可搭配使用的同类 community Skill?探索以下相关开源技能。

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