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Alloy

与Grafana合金建造一个统一的遥测管——一个可兼容的OpenTelemory二进制管,收集测量,日志,痕迹,以及剖面图和飞船到Grafana Cloud / Prometheus / Loki / Tempo / Pyroscope. 包括合金配置语言(块、 " sys.env " 、组件 refs)、 " prometheus.scrape " 、 " remote-write " 、 " loki.source.file " 和 " loki.press " 、 " loki.write " 、 " otlp " 、 " otlcol.exporter.otp " 、 " pyroscope.scrape " 、K8s / Docker/EC2发现、重贴标签、模块( " import.files/git/http " )、集群、舰队管理`remotecfg " 、 " Alloy UI " at :12345 " 和 " loy fmt " /`合金验证 " 。 写出"config.alloy"时使用,取而代之的是Grafana Agent / OTel Collectioner,刮取K8s sockers,解析日志,摄取OTLP,或者调试"合金没有发送任何东西"——即使用户说"设置了代理","给我写出一个刮取配置","在发送前丢出这些日志",或者"OTel Collector Collection"而不取名"合金".

5451 安装量

官方网址:skills.sh

技能介绍

先看中文介绍;官方 description 原文单独保留,不改写 SKILL.md。

做什么

与Grafana合金建造一个统一的遥测管——一个可兼容的OpenTelemory二进制管,收集测量,日志,痕迹,以及剖面图和飞船到Grafana Cloud / Prometheus / Loki / Tempo / Pyroscope. 涵盖合金配置语言(块、 " sys.env " 、组件参考)、 " prometheus.scrape " 、 " remote-write " 、 " loki.source.file " 和 " loki.press " 、 " loki.write " 、 " otlp " 、 " otlcol.exporter.otp " 、 " pyroscope.scrape " 、K8s / Docker/EC2发现、再贴标签、模块( " import.file/git/http " )、集群、舰队管理 " remotercfg " 、 " Alloyy UI " at :12345 " 和 " aloy fmt " / " 联合验证 `(a). `

何时用

写出“ 配置. alloy ” , 替换 Grafana Agent / OTel Collector, 刮取 K8s socks, 解析日志, 摄取 OTLP, 或调试“ 合金没有发送任何信息” —— 即使用户说“ 设置代理 ” , “ 写我一个 刮取配置 ” , “ 在发送前丢弃这些日志 ” , 或者“ OTel Co ”

代理如何加载

按 Agent Skills 渐进披露:启动时只加载 name 与 description(约 100 token);任务匹配后才读入整份 SKILL.md 正文;scripts/、references/、assets/ 仅在需要时再读。 本文件正文结构:Grafana Alloy、Prerequisites、Common Workflows、1. Write + validate a config locally、1. Format + syntax-check (catches typos before run)、2. Run it。 其中含规范建议的小节:分步指令。

文件分析

文件分析:除 SKILL.md 外,正文引用了 references/collection-patterns.md、references/config-syntax.md、references/components.md,属于带资源的技能包,这些文件按需再读。

官方 description(原文)

Build a unified telemetry pipeline with Grafana Alloy — one OpenTelemetry-compatible binary that collects metrics, logs, traces, and profiles and ships to Grafana Cloud / Prometheus / Loki / Tempo / Pyroscope. Covers the Alloy config language (blocks, `sys.env`, component refs), `prometheus.scrape` → `remote_write`, `loki.source.file` + `loki.process` → `loki.write`, `otelcol.receiver.otlp` → `otelcol.exporter.otlp`, `pyroscope.scrape`, K8s / Docker / EC2 discovery, relabeling, modules (`import.file/git/http`), clustering, Fleet Management `remotecfg`, the Alloy UI at `:12345`, and `alloy fmt` / `alloy validate`. Use when writing a `config.alloy`, replacing Grafana Agent / OTel Collector, scraping K8s pods, parsing logs, ingesting OTLP, or debugging "Alloy isn't sending anything" — even when the user says "set up the agent", "write me a scrape config", "drop these logs before sending", or "OTel collector config" without naming Alloy.

Grafana AlloyPrerequisitesCommon Workflows1. Write + validate a config locally1. Format + syntax-check (catches typos before run)2. Run itor as a service: systemctl restart alloy3. Verify all components are healthy via the UI on port 12345Expect: empty (nothing unhealthy). Otherwise the row shows the failing component + reason.4. Verify samples are flowingsamples_total should be > 0 and rising; retries should be 0.2. Add log shipping (file → Loki)

· 许可:Apache-2.0

来源分类:skills.sh agent-skill

SKILL.md 与 Agent 调用

官方规范 ↗
name
alloy
description
Build a unified telemetry pipeline with Grafana Alloy — one OpenTelemetry-compatible binary that collects metrics, logs, traces, and profiles and ships to Grafana Cloud / Prometheus / Loki / Tempo / Pyroscope. Covers the Alloy config language (blocks, `sys.env`, component refs), `prometheus.scrape` → `remote_write`, `loki.source.file` + `loki.process` → `loki.write`, `otelcol.receiver.otlp` → `otelcol.exporter.otlp`, `pyroscope.scrape`, K8s / Docker / EC2 discovery, relabeling, modules (`import.file/git/http`), clustering, Fleet Management `remotecfg`, the Alloy UI at `:12345`, and `alloy fmt` / `alloy validate`. Use when writing a `config.alloy`, replacing Grafana Agent / OTel Collector, scraping K8s pods, parsing logs, ingesting OTLP, or debugging "Alloy isn't sending anything" — even when the user says "set up the agent", "write me a scrape config", "drop these logs before sending", or "OTel collector config" without naming Alloy.
许可
Apache-2.0
  1. 发现技能客户端向 Agent 提供名称与描述目录。
  2. 匹配与调用用户指定或任务匹配后,载入 SKILL.md 指令。
  3. 按需加载按步骤读取参考文档、使用脚本与素材。
指令中引用的文件 · 3
  • references/collection-patterns.md
  • references/config-syntax.md
  • references/components.md

以下路径提取自原文;文件是否齐全请以来源仓库中的完整目录为准。

具体调用语法与可用工具以目标 Agent 客户端为准。 查看调用机制说明 ↗

安装这个技能

Skills CLI ↗

先选择目标 Agent 和安装范围,保留技能包的附属文件,安装后检查客户端能否发现该技能。

该技能引用了附属文件,请从来源获取完整目录;仅复制 SKILL.md 可能缺少依赖。

交给 Agent 安装

复制安装指令给支持 Agent Skills 的代理,确认其中的目标目录与客户端匹配。

把 Agent Skill「alloy」安装到我的项目:SKILL.md 原文与官方 description 见 https://zicq.com/zh/skills/skl-f97651f3807222b1-Alloy.html
请存为 .cursor/skills/alloy/SKILL.md 或 .claude/skills/alloy/SKILL.md,frontmatter 的 name 与 description 保持原样,不要改写。
该技能还带 scripts/、references/、assets/ 等文件,请从 https://github.com/grafana/skills 取完整目录,不要只建一个 SKILL.md。

GitHub 完整包 ↗

终端安装 · Skills CLI

需要 Node.js 与 npx。先查看仓库技能列表,确认实际名称。

npx skills add 'https://github.com/grafana/skills' --list

npx skills add 'https://github.com/grafana/skills' --skill 'alloy'

CLI 会交互选择目标 Agent,默认安装到项目;用户级安装使用 -g。先通过查看命令核对仓库内容,再用 npx skills list 检查已安装技能。

阅读排版

name: alloy license: Apache-2.0 description: Build a unified telemetry pipeline with Grafana Alloy — one OpenTelemetry-compatible binary that collects metrics, logs, traces, and profiles and ships to Grafana Cloud / Prometheus / Loki / Tempo / Pyroscope. Covers the Alloy config language (blocks, sys.env, component refs), prometheus.scrape → remote_write, loki.source.file + loki.process → loki.write, otelcol.receiver.otlp → otelcol.exporter.otlp, pyroscope.scrape, K8s / Docker / EC2 discovery, relabeling, modules (import.file/git/http), clustering, Fleet Management remotecfg, the Alloy UI at :12345, and alloy fmt / alloy validate. Use when writing a config.alloy, replacing Grafana Agent / OTel Collector, scraping K8s pods, parsing logs, ingesting OTLP, or debugging "Alloy isn't sending anything" — even when the user says "set up the agent", "write me a scrape config", "drop these logs before sending", or "OTel collector config" without naming Alloy.

Grafana Alloy

Docs: https://grafana.com/docs/alloy/latest/

OpenTelemetry-compatible collector — one binary for metrics + logs + traces + profiles.

Prerequisites

  • alloy CLI installed (brew install grafana/grafana/alloy, apt install alloy, or grafana/alloy Docker image)
  • An endpoint to ship to (Grafana Cloud, Prometheus, Loki, Tempo, Pyroscope)
  • API key + username for that endpoint, exported as GRAFANA_API_KEY etc.

Common Workflows

1. Write + validate a config locally

// config.alloy — metrics → Grafana Cloud
prometheus.scrape "app" {
  targets = [{"__address__" = "localhost:9090"}]
  forward_to = [prometheus.remote_write.cloud.receiver]
  scrape_interval = "30s"
}

prometheus.remote_write "cloud" {
  endpoint {
    url = sys.env("PROMETHEUS_URL")
    basic_auth {
      username = sys.env("PROM_USER")
      password = sys.env("GRAFANA_API_KEY")
    }
  }
}
# 1. Format + syntax-check (catches typos before run)
alloy fmt config.alloy
alloy validate config.alloy

# 2. Run it
alloy run config.alloy
# or as a service: systemctl restart alloy

# 3. Verify all components are healthy via the UI on port 12345
curl -s http://localhost:12345/api/v0/web/components \
  | jq '.[] | select(.health.state != "healthy") | {id, state:.health.state, msg:.health.message}'
# Expect: empty (nothing unhealthy). Otherwise the row shows the failing component + reason.

# 4. Verify samples are flowing
curl -s http://localhost:12345/metrics \
  | grep -E '^prometheus_remote_storage_(samples_total|enqueue_retries_total)' | head
# samples_total should be > 0 and rising; retries should be 0.

2. Add log shipping (file → Loki)

loki.source.file "app_logs" {
  targets    = [{ __path__ = "/var/log/app/*.log", job = "app" }]
  forward_to = [loki.write.cloud.receiver]
}

loki.write "cloud" {
  endpoint {
    url = sys.env("LOKI_URL")
    basic_auth {
      username = sys.env("LOKI_USER")
      password = sys.env("GRAFANA_API_KEY")
    }
  }
}
# Verify in Grafana → Explore → Loki:
#   {job="app"}
# Expect lines streaming. If empty:
#   - check /var/log/app/*.log actually exists + readable by the alloy user
#   - http://localhost:12345 → loki.source.file.app_logs → "Targets" tab

3. Receive OTLP traces and ship to Tempo

otelcol.receiver.otlp "default" {
  grpc { endpoint = "0.0.0.0:4317" }
  http { endpoint = "0.0.0.0:4318" }
  output { traces = [otelcol.exporter.otlp.tempo.input] }
}

otelcol.exporter.otlp "tempo" {
  client {
    endpoint = "tempo-xxx.grafana.net/tempo:443"
    auth     = otelcol.auth.basic.grafana_cloud.handler
  }
}

otelcol.auth.basic "grafana_cloud" {
  username = sys.env("TEMPO_USER")
  password = sys.env("GRAFANA_API_KEY")
}
# Verify in Grafana → Explore → Tempo → service.name = your-service
# At the Alloy level, watch the receiver:
curl -s http://localhost:12345/metrics | grep otelcol_receiver_accepted_spans

Full pattern set (Kubernetes discovery + relabel, complete Cloud pipeline for all 4 signals): references/collection-patterns.md.

Reference

Troubleshooting

  • alloy validate → "component not found" → version too old; alloy --version and upgrade
  • UI shows component unhealthy → click into it on http://localhost:12345 for the live error
  • prometheus_remote_storage_samples_dropped_total rising → check enqueue_retries_total and the remote_write endpoint URL + creds
  • No spans landing in Tempo → check otelcol_receiver_refused_spans and the exporter's otelcol_exporter_sent_spans / otelcol_exporter_send_failed_spans

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