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observability-dashboard-creator可观察性仪表板创建者

Agent Skill

observability-dashboard-creator 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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。

总安装

465

周安装

19

GitHub Stars

9

下载量

150
CodexClaudeCursorGemini CLI

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

3

许可证

MIT

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:observability-dashboard-creator(可观察性仪表板创建者)
来源仓库:https://github.com/adaptationio/skrillz
仓库路径:skills/observability-dashboard-creator
安装命令:
npx skills add https://github.com/adaptationio/skrillz --skill observability-dashboard-creator
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/adaptationio/skrillz --skill observability-dashboard-creator

简介

协助创建可观测性仪表板与可视化视图。

  • 适用于指标展示与实时监控界面构建。
  • 通过 npx skills add 命令从 adaptationio/skrillz 安装。
  • 应评估其对第三方图表库的依赖与渲染性能影响。
  • observability-dashboard-creator 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Observability Dashboard Creator

Import pre-built Grafana dashboards and create custom visualizations for Claude Code monitoring.

When to Use

  • After observability stack is running
  • Need pre-built Claude Code dashboards
  • Want to create custom dashboards
  • Need to export/backup existing dashboards

Operations

import-all

Import all pre-built Claude Code dashboards to Grafana.

Dashboards Imported:

  1. Claude Code Overview - Sessions, tokens, costs, errors at-a-glance
  2. Tool Performance Matrix - Per-tool metrics (duration, failure rates)
  3. Cost Analysis - Token usage and API cost tracking
  4. Error Tracking - Error patterns and recent failures
  5. Session Analysis - Session duration and conversation patterns

Usage:

# Invoke skill operation
import-all

What Happens:

  1. Connects to Grafana API (localhost:3000)
  2. Creates "Claude Code" dashboard folder
  3. Imports all 5 dashboards via Grafana API
  4. Sets up dashboard links and navigation
  5. Verifies import success

import-dashboard

Import a specific dashboard by name.

Parameters:

  • name: Dashboard name (overview, tool-performance, cost-analysis, error-tracking, session-analysis)

Example:

import-dashboard --name overview

create-custom

Create custom dashboard from template.

Parameters:

  • name: Dashboard name
  • type: overview, tool-specific, cost, error, session
  • panels: Comma-separated panel types

Example:

create-custom \
  --name "Bash Tool Deep Dive" \
  --type tool-specific \
  --panels "duration,errors,frequency,success-rate"

export-dashboards

Export all Claude Code dashboards to JSON (backup).

Output: .observability/backups/dashboards-YYYYMMDD_HHMMSS/*.json

list-dashboards

List all Claude Code dashboards in Grafana.

Output:

Claude Code Dashboards:
1. Claude Code Overview (ID: 42)
2. Tool Performance Matrix (ID: 43)
3. Cost Analysis (ID: 44)
4. Error Tracking (ID: 45)
5. Session Analysis (ID: 46)

Pre-built Dashboards

1. Claude Code Overview

Panels:

  • Session Count (last 24h)
  • Total Token Usage (last 24h)
  • Total Cost (last 24h)
  • Error Rate (last 1h)
  • Token Usage Over Time (timeseries)
  • Tool Call Frequency (timeseries by tool)
  • Recent Errors (logs table)

Use Cases:

  • Daily health check
  • Quick status overview
  • Anomaly detection

2. Tool Performance Matrix

Panels (per tool: Read, Write, Edit, Bash, etc.):

  • Call count
  • Average duration
  • P95 latency
  • P99 latency
  • Success rate
  • Failure rate
  • Top error messages

Use Cases:

  • Identify slow tools
  • Find high-failure tools
  • Performance optimization

3. Cost Analysis

Panels:

  • Daily cost trend
  • Weekly cost comparison
  • Monthly projection
  • Token usage breakdown (input vs output)
  • Cost per session
  • Budget alerts (configurable threshold)
  • Top expensive sessions

Use Cases:

  • Budget tracking
  • Cost optimization
  • Usage forecasting

4. Error Tracking

Panels:

  • Error timeline (last 24h)
  • Error types distribution (pie chart)
  • Errors by tool (bar chart)
  • Recent errors table (with details)
  • Error rate trend
  • Top error messages (frequency)

Use Cases:

  • Debugging
  • Error pattern detection
  • Quality monitoring

5. Session Analysis

Panels:

  • Session duration distribution (histogram)
  • Sessions per day/week (timeseries)
  • Active time vs idle time
  • Conversation depth (turns per session)
  • Session frequency by hour
  • Average session length trend

Use Cases:

  • Usage pattern analysis
  • User engagement metrics
  • Productivity insights

Dashboard Features

All dashboards include:

  • Time range selector (last 15m, 1h, 6h, 24h, 7d, 30d)
  • Auto-refresh (30s, 1m, 5m, off)
  • Variables for filtering (tool_name, session_id, etc.)
  • Annotations for important events
  • Links between related dashboards

References

  • references/dashboards/claude-code-overview.json - Overview dashboard
  • references/dashboards/tool-performance-matrix.json - Tool metrics
  • references/dashboards/cost-analysis.json - Cost tracking
  • references/dashboards/error-tracking.json - Error monitoring
  • references/dashboards/session-analysis.json - Session analytics
  • references/grafana-api-guide.md - Grafana API usage

Scripts

  • scripts/import-all-dashboards.sh - Import all pre-built dashboards
  • scripts/export-dashboards.sh - Backup dashboards to JSON
  • scripts/create-folder.sh - Create "Claude Code" dashboard folder

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

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

github-copilot

26.16%
按下载量换算39

Claude Code

25.7%
按下载量换算39

mcpjam

17.67%
按下载量换算27

moltbot

13.65%
按下载量换算20

windsurf

8.57%
按下载量换算13

zencoder

3.87%
按下载量换算6

安全审计

Gen Agent Trust Hub

可疑

Socket

通过

Snyk

通过

权限和风险

需要联网

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

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。

来源信息

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