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prometheus-configuration

Set up Prometheus for comprehensive metric collection, storage, and monitoring of infrastructure and applications. Use when implementing metrics collection, setting up monitoring infrastructure, or configuring alerting systems.

DeepseekModel 官方收录技能 质量 优秀 · 90 v1.0.0

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https://deepseekmodel.com/api/download.php?id=wshobson-agents-plugins-observability-monitoring-skills-prometheus-configuration-skill-md&format=skill
下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name prometheus-configuration description Set up Prometheus for comprehensive metric collection, storage, and monitoring of infrastructure and applications. Use when implementing metrics collection, setting up monitoring infrastructure, or configuring alerting systems. Prometheus Configuration Complete guide to Prometheus setup, metric collection, scrape configuration, and recording rules. Purpose Configure Prometheus for comprehensive metric collection, alerting, and monitoring of infrastructure and applications. When to Use Set up Prometheus monitoring Configure metric scraping Create recording rules Design alert rules Implement service discovery Detailed patterns and worked examples Detailed pattern documentation lives in references/details.md . Read that file when the navigation tier above is insufficient. Best Practices Use consistent naming for metrics (prefix_name_unit) Set appropriate scrape intervals (15-60s typical) Use recording rules for expensive queries Implement high availability (multiple Prometheus instances) Configure retention based on storage capacity Use relabeling for metric cleanup Monitor Prometheus itself Implement federation for large deployments Use Thanos/Cortex for long-term storage Document custom metrics Troubleshooting Check scrape targets: curl http://localhost:9090/api/v1/targets Check configuration: curl http://localhost:9090/api/v1/status/config Test query: curl 'http://localhost:9090/api/v1/query?query=up' Related Skills grafana-dashboards - For visualization slo-implementation - For SLO monitoring distributed-tracing - For request tracing
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下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
source来源标识
source_url来源链接(本页地址)
exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

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