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Agent Skill · 前端设计

performance-analytics(绩效分析)

用于辅助前端页面、组件、样式和交互逻辑的开发与维护。它适合让 Agent 生成或审查 React、Next.js、Vue、Tailwind、CSS 等相关代码,整理组件结构,或定位布局和性能问题。使用时需要结合项目现有设计系统、路由和构建方式,避免只生成孤立片段;涉及页面改动时,应配合本地预览和构建检查确认视觉效果。

performance-analytics 是前端设计类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为调用外部服务;许可证为 MIT,第三方扫描已通过,按安装量在前端设计类的 10,216 个 Skill 里排第 3,439。

总安装 1,322周安装 54GitHub Stars 63下载 423核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

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:performance-analytics(绩效分析)
来源仓库:https://github.com/groeimetai/snow-flow
仓库路径:skills/performance-analytics
安装命令:
npx skills add https://github.com/groeimetai/snow-flow --skill performance-analytics
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/groeimetai/snow-flow --skill performance-analytics

这个 Skill 是做什么的

前端设计类 Skill 关注页面结构、视觉规范和组件写法,输出通常是可运行的界面代码。

performance-analytics 用于辅助前端页面、组件、样式和交互逻辑的开发与维护。适合生成或审查 React、Vue、Tailwind CSS 等相关代码。支持 Codex、Claude、Cursor、Gemini CLI 等宿主环境。

通过 npx skills add 命令从指定 GitHub 仓库安装。使用时需结合项目设计系统,配合预览确认视觉效果。

来源仓库内路径:skills/performance-analytics

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/groeimetai/snow-flow --skill performance-analy…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

performance-analytics 怎么安装?

在终端执行 npx skills add https://github.com/groeimetai/snow-flow --skill performance-analytics。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

performance-analytics 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

performance-analytics 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

performance-analytics 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

performance-analytics 用的人多吗?

公开数据是累计安装 1,322 次,近一周安装 54 次,下载 423 次,GitHub 63 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

performance-analytics 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理前端设计类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

前端设计类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
frontend-design

前端设计 · Codex、Claude

8,823,360126,072只读MIT通过
vercel-composition-patterns

Vercel 组合模式 · Codex、Claude

3,858,81625,893需要联网MIT通过
vercel-react-native-skills

Vercel React native skills 前端 · Codex、Claude

2,468,66425,878只读MIT通过
adapt

adapt 搜索 · Codex、Claude

2,027,04023,125操作浏览器未明确通过
bolder

bolder 分析 · Codex、Claude

2,004,28823,130只读未明确通过
performance-analytics

绩效分析 · 本页

1,32263调用外部服务MIT通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Performance Analytics for ServiceNow

Performance Analytics (PA) provides advanced reporting and KPI tracking capabilities for measuring and improving business processes.

PA Architecture

Component Hierarchy

PA Dashboard
├── Widgets
│   ├── Scorecard Widget
│   ├── Time Series Chart
│   ├── Breakdown Pie Chart
│   └── Single Score
├── Indicators
│   ├── Number of Open Incidents
│   ├── Average Resolution Time
│   └── SLA Compliance Rate
├── Breakdowns
│   ├── By Priority
│   ├── By Assignment Group
│   └── By Category
└── Thresholds
    ├── Critical: > 100
    └── Warning: > 50

Key Tables

TablePurpose
pa_indicatorsKPI definitions
pa_indicator_breakdownsIndicator-breakdown links
pa_breakdownsBreakdown definitions
pa_thresholdsThreshold rules
pa_widgetsDashboard widgets
pa_dashboardsDashboard containers

Indicators

Indicator Types

TypeAggregationExample
CountCOUNT(*)Number of incidents
SumSUM(field)Total cost
AverageAVG(field)Avg resolution time
Percentage(A/B)*100SLA compliance %
DurationTime calculationAvg time to resolve

Creating Count Indicator (ES5)

// Create "Open Incidents" indicator
var indicator = new GlideRecord("pa_indicators")
indicator.initialize()
indicator.setValue("name", "Open Incidents")
indicator.setValue("description", "Number of currently open incidents")

// Source configuration
indicator.setValue("cube", "pa_cubes_incident") // or table-based
indicator.setValue("facts_table", "incident")
indicator.setValue("conditions", "active=true")

// Aggregation
indicator.setValue("aggregate", "COUNT") // COUNT, SUM, AVG

// Display settings
indicator.setValue("direction", 2) // 1=Up is good, 2=Down is good
indicator.setValue("unit", "Incidents")
indicator.setValue("precision", 0) // Decimal places

// Scoring
indicator.setValue("frequency", "daily")

indicator.insert()

Creating Average Indicator (ES5)

// Create "Average Resolution Time" indicator
var indicator = new GlideRecord("pa_indicators")
indicator.initialize()
indicator.setValue("name", "Avg Resolution Time")
indicator.setValue("description", "Average time to resolve incidents")

indicator.setValue("facts_table", "incident")
indicator.setValue("conditions", "state=6") // Resolved

// Aggregation on duration
indicator.setValue("aggregate", "AVG")
indicator.setValue("field", "calendar_duration") // Duration field

// Time unit
indicator.setValue("unit", "Hours")
indicator.setValue("unit_conversion", 3600) // Seconds to hours

indicator.setValue("direction", 2) // Lower is better
indicator.setValue("frequency", "daily")

indicator.insert()

Creating Percentage Indicator (ES5)

// Create "SLA Compliance" percentage indicator
var indicator = new GlideRecord("pa_indicators")
indicator.initialize()
indicator.setValue("name", "SLA Compliance Rate")
indicator.setValue("description", "Percentage of incidents meeting SLA")

indicator.setValue("facts_table", "task_sla")
indicator.setValue("conditions", "task.sys_class_name=incident")

// Formula-based percentage
indicator.setValue("aggregate", "FORMULA")
indicator.setValue("formula", "(COUNT(has_breached=false) / COUNT(*)) * 100")

indicator.setValue("unit", "%")
indicator.setValue("direction", 1) // Higher is better
indicator.setValue("precision", 1)

indicator.insert()

Breakdowns

Common Breakdowns

BreakdownFieldUse Case
PrioritypriorityIncidents by P1/P2/P3
CategorycategoryIncidents by type
Groupassignment_groupTeam performance
LocationlocationGeographic analysis
Timeopened_atTrend analysis

Creating Breakdown (ES5)

// Create "Priority" breakdown
var breakdown = new GlideRecord("pa_breakdowns")
breakdown.initialize()
breakdown.setValue("name", "Priority")
breakdown.setValue("description", "Breakdown by incident priority")

breakdown.setValue("facts_table", "incident")
breakdown.setValue("dimension_field", "priority")

// Sorting
breakdown.setValue("sort_field", "priority")
breakdown.setValue("sort_order", "ASC")

// Element mapping (optional)
breakdown.setValue("use_element_mapping", true)

breakdown.insert()

Linking Breakdown to Indicator (ES5)

// Link breakdown to indicator
var link = new GlideRecord("pa_indicator_breakdowns")
link.initialize()
link.setValue("indicator", indicatorSysId)
link.setValue("breakdown", breakdownSysId)
link.setValue("active", true)
link.insert()

Thresholds

Creating Thresholds (ES5)

// Create threshold for Open Incidents
var threshold = new GlideRecord("pa_thresholds")
threshold.initialize()
threshold.setValue("indicator", indicatorSysId)
threshold.setValue("name", "Critical Level")

// Threshold conditions
threshold.setValue("operator", ">=") // >=, <=, =, >, <
threshold.setValue("value", 100)

// Visual styling
threshold.setValue("color", "red")
threshold.setValue("icon", "exclamation-circle")

// Notification
threshold.setValue("notification_user", adminSysId)
threshold.setValue("notification_script", thresholdScript)

threshold.insert()

// Add warning threshold
var warning = new GlideRecord("pa_thresholds")
warning.initialize()
warning.setValue("indicator", indicatorSysId)
warning.setValue("name", "Warning Level")
warning.setValue("operator", ">=")
warning.setValue("value", 50)
warning.setValue("color", "orange")
warning.insert()

Widgets

Widget Types

TypeUse CaseShows
Single ScoreCurrent value"127 Open Incidents"
ScorecardValue + trendCurrent + sparkline
Time SeriesTrend over timeLine/bar chart
BreakdownBy dimensionPie/bar chart
ComparisonMultiple indicatorsSide-by-side

Creating Widget (ES5)

// Create scorecard widget
var widget = new GlideRecord("pa_widgets")
widget.initialize()
widget.setValue("name", "Open Incidents Scorecard")
widget.setValue("type", "scorecard")

// Indicator
widget.setValue("indicator", indicatorSysId)

// Time range
widget.setValue("time_range", "last_30_days")
widget.setValue("show_trend", true)
widget.setValue("compare_to", "previous_period")

// Display
widget.setValue("show_breakdown", true)
widget.setValue("breakdown", priorityBreakdownSysId)
widget.setValue("chart_type", "bar")

widget.insert()

Dashboards

Creating Dashboard (ES5)

// Create PA Dashboard
var dashboard = new GlideRecord("pa_dashboards")
dashboard.initialize()
dashboard.setValue("name", "Incident Management Dashboard")
dashboard.setValue("description", "Key metrics for incident management")

// Layout
dashboard.setValue("layout", "2-column")

// Access control
dashboard.setValue("public", true)
dashboard.setValue("owner", gs.getUserID())

var dashboardSysId = dashboard.insert()

// Add widgets to dashboard
function addWidgetToDashboard(dashboardId, widgetId, row, column) {
  var placement = new GlideRecord("pa_dashboard_widgets")
  placement.initialize()
  placement.setValue("dashboard", dashboardId)
  placement.setValue("widget", widgetId)
  placement.setValue("row", row)
  placement.setValue("column", column)
  placement.insert()
}

addWidgetToDashboard(dashboardSysId, openIncWidget, 0, 0)
addWidgetToDashboard(dashboardSysId, avgTimeWidget, 0, 1)
addWidgetToDashboard(dashboardSysId, slaWidget, 1, 0)

Data Collection

Manual Score Collection (ES5)

// Collect scores for an indicator
var job = new PAScoreCollector()
job.collectIndicatorScores(indicatorSysId)

Scheduled Collection

// PA uses scheduled jobs for data collection
// Default: Daily at midnight
// Configure via: Performance Analytics > Data Collection > Jobs

MCP Tool Integration

Available PA Tools

ToolPurpose
snow_create_pa_indicatorCreate indicator
snow_create_pa_breakdownCreate breakdown
snow_create_pa_thresholdCreate threshold
snow_create_pa_widgetCreate widget
snow_get_pa_scoresRetrieve scores
snow_collect_pa_dataTrigger collection
snow_discover_pa_indicatorsFind indicators

Example Workflow

// 1. Create indicator
var indicatorId = await snow_create_pa_indicator({
  name: "Open P1 Incidents",
  table: "incident",
  conditions: "active=true^priority=1",
  aggregate: "COUNT",
  direction: "down_is_good",
})

// 2. Create breakdown
var breakdownId = await snow_create_pa_breakdown({
  name: "By Assignment Group",
  table: "incident",
  field: "assignment_group",
})

// 3. Link breakdown
await snow_create_pa_indicator_breakdown({
  indicator: indicatorId,
  breakdown: breakdownId,
})

// 4. Create threshold
await snow_create_pa_threshold({
  indicator: indicatorId,
  operator: ">=",
  value: 10,
  color: "red",
})

// 5. Create widget
await snow_create_pa_widget({
  name: "P1 Incidents Scorecard",
  type: "scorecard",
  indicator: indicatorId,
  breakdown: breakdownId,
})

// 6. Get current scores
var scores = await snow_get_pa_scores({
  indicator: indicatorId,
  time_range: "last_30_days",
})

Best Practices

  1. Direction Matters - Set correctly (up/down is good)
  2. Meaningful Thresholds - Based on business requirements
  3. Consistent Frequency - Match data volatility
  4. Use Breakdowns - Enable drill-down analysis
  5. Dashboard Purpose - One focus per dashboard
  6. Trend Analysis - Always show comparison
  7. Performance - Limit active indicators
  8. Documentation - Clear indicator descriptions

平台分布

Claude Code

28.73%
按下载量换算122

Gemini CLI

21.28%
按下载量换算90

Antigravity

19.97%
按下载量换算84

windsurf

11.52%
按下载量换算49

Codex

7.15%
按下载量换算30

OpenCode

3.81%
按下载量换算16

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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。

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