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Agent Skill · 研究检索

servicenow-engineer(服务工程师)

servicenow-engineer 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。

servicenow-engineer 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 62,939。

总安装 324周安装 13GitHub Stars 59下载 105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
unknown

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:servicenow-engineer(服务工程师)
来源仓库:https://github.com/theneoai/awesome-skills
仓库路径:skills/servicenow-engineer
安装命令:
npx skills add https://github.com/theneoai/awesome-skills --skill servicenow-engineer
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。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/theneoai/awesome-skills --skill servicenow-engineer

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

servicenow-engineer 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。适用于 ServiceNow 系统架构咨询、脚本性能优化与安全合规审计。

提供 GlideRecord 高效写法与 ACL 策略设计原则。涉及客户数据时,必须遵守 SOC2 与数据驻留政策。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/servicenow-engineer

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/theneoai/awesome-skills --skill servicenow-eng…;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

    它需要需要联网,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

servicenow-engineer 怎么安装?

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

servicenow-engineer 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。

servicenow-engineer 需要什么权限?

权限级别是需要联网。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。

servicenow-engineer 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

servicenow-engineer 用的人多吗?

公开数据是累计安装 324 次,近一周安装 13 次,下载 105 次,GitHub 59 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。

servicenow-engineer 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。
  • 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

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 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。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
servicenow-engineer

服务工程师 · 本页

32459需要联网未明确通过

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

Mission: *"To make the world of work, work better for people."* — ServiceNow
Leadership Philosophy: *"Every CEO I meet wants to simplify their business to unlock the heaviness of legacy architectures. They want to innovate with data, workflows, and agentic AI."* — Bill McDermott, Chairman & CEO
Engineering Ethos: *"The Now Platform is the AI platform for business transformation."* — ServiceNow Engineering

§1 · Quick Start

§1.1 · One-Minute Setup

Activate this skill for ServiceNow-style engineering:

# Add to CLAUDE.md
echo "Apply servicenow-engineer: ITSM/ITOM workflow automation, Flow Designer orchestration,
      App Engine low-code development, Now Platform architecture, workflow-first digitization." >> CLAUDE.md

§1.2 · Essential Context

Company FactValueEngineering Impact
Revenue$10.98B+ (FY2024)Enterprise-grade platform reliability and scale
Employees23,000+ (2025)Rapid growth, hiring 3,000+ for AI expansion
Customers8,100+ (85% Fortune 500)Mission-critical deployments, 99.9% uptime expectation
$1M+ ACV Customers2,109+Deep enterprise adoption, complex multi-product implementations
$5M+ ACV Customers500+ (21% YoY growth)Strategic platform consolidation at scale
cRPO$10.27B (19% YoY growth)Strong future revenue visibility
Platform Uptime99.9%+ SLATrust-first architecture, zero-downtime deployments

Leadership Context:

  • Bill McDermott (Chairman & CEO, since Nov 2019): Former SAP CEO, transformed ServiceNow into "AI platform for business transformation"
  • Amit Zavery (President, Head of Product & Engineering, since 2024): Former Google Cloud/Oracle, leading AI-first platform evolution
  • Chirantan 'CJ' Desai (former President & COO): Led product strategy through 2024
  • Chris Bedi (Chief Customer Officer): Former CIO, drives customer success and digital transformation

§1.3 · Core Capabilities

  1. IT Service Management (ITSM) — Incident, Problem, Change, Request Management with AI-powered automation
  2. IT Operations Management (ITOM) — Event Management, Discovery, Service Mapping, AIOps
  3. Flow Designer — Visual workflow automation with Integration Hub for enterprise connectivity
  4. App Engine — Low-code application development with pro-code extensibility
  5. Now Assist — Generative AI embedded across all workflows for intelligent automation
  6. Integration Hub — Pre-built spokes for 200+ enterprise systems (SAP, Salesforce, Workday)

§2 · ServiceNow Engineering Culture

§2.1 · The Workflow-First Philosophy

Bill McDermott's Vision (2019-Present) Bill McDermott joined ServiceNow with a singular focus: make ServiceNow the defining enterprise platform of the AI era. Under his leadership, ServiceNow has:

  • Achieved $10B+ revenue milestone (fastest enterprise software growth)
  • Pioneered "AI platform for business transformation" positioning
  • Expanded from IT to enterprise-wide workflows (HR, Customer, Creator)
  • Announced $15B revenue target by 2026 with AI as primary growth driver

The ServiceNow Platform Philosophy:

PrincipleMeaningEngineering Manifestation
One PlatformSingle architecture, one data modelUnified CMDB, consistent security model, shared AI layer
Workflow-FirstAutomate the work between systemsFlow Designer, Integration Hub, process optimization
Intelligence EverywhereAI embedded in every workflowNow Assist, Predictive Intelligence, Virtual Agent
Enterprise-GradeMission-critical reliability99.9% SLA, SOC 2, ISO 27001, FedRAMP, HIPAA compliance
Creator EmpowermentLow-code for all, pro-code when neededApp Engine Studio, UI Builder, Scripted APIs

§2.2 · The Now Platform Evolution

Four Major Eras:

EraReleaseCharacteristics
2004-2012Aspen → CalgaryITSM pioneer, cloud-native IT workflows
2013-2018Dublin → LondonPlatform expansion, Service Portal, Workflow
2019-2023Madrid → VancouverNow Platform, Flow Designer, Integration Hub
2024-PresentWashington DC → XanaduAI-first, Now Assist, Agentic AI, Xanadu innovations

Current Platform Stack:

┌─────────────────────────────────────────────────────────────────┐
│                    NOW PLATFORM XANADU                           │
├─────────────────────────────────────────────────────────────────┤
│  AI LAYER: Now Assist, Predictive Intelligence, Virtual Agent   │
├─────────────────────────────────────────────────────────────────┤
│  WORKFLOW LAYER:                                                │
│    • Flow Designer (visual automation)                          │
│    • Integration Hub (200+ spokes)                              │
│    • Process Automation (RPA)                                   │
├─────────────────────────────────────────────────────────────────┤
│  APP ENGINE:                                                    │
│    • App Engine Studio (low-code)                               │
│    • UI Builder (modern experiences)                            │
│    • Mobile Publisher (native apps)                             │
├─────────────────────────────────────────────────────────────────┤
│  CORE PLATFORM:                                                 │
│    • ITSM/ITOM/HRSD/CSM/GRC (enterprise apps)                   │
│    • CMDB (configuration management)                            │
│    • Service Portal (self-service)                              │
├─────────────────────────────────────────────────────────────────┤
│  DATA & ANALYTICS:                                              │
│    • Performance Analytics (embedded BI)                        │
│    • Now Intelligence (AI/ML platform)                          │
│    • Common Services Data Model (CSDM)                          │
└─────────────────────────────────────────────────────────────────┘

§2.3 · Bill McDermott Leadership Principles

The Growth Formula:

Vision: Be the #1 AI platform for business transformation worldwide
Values:
  - Customer obsession (their success is our success)
  - Innovation at scale (AI-first in every product)
  - Employee empowerment (creators of the future)
  - Trust and transparency (enterprise-grade security)
Methods:
  - Expand Total Addressable Market through AI
  - Land and expand enterprise relationships
  - Build ecosystem through ISV partnerships
  - Deliver 20%+ revenue growth consistently
Obstacles:
  - Legacy vendor competition
  - AI talent acquisition race
  - Economic headwinds affecting IT spend
Measures:
  - $15B revenue by 2026
  - 2,500+ $1M ACV customers
  - 99.9% customer satisfaction
  - #1 ranking in ITSM market share

Management by Walking Around (MBWA):

  • McDermott's practice: Regular customer and employee engagement
  • "Now on Tour" global events for community building
  • Customer Advisory Boards at executive level

§3 · Technical Architecture

§3.1 · Now Platform Architecture

The Single Platform Advantage:

┌─────────────────────────────────────────────────────────────────┐
│                    NOW PLATFORM ARCHITECTURE                     │
├─────────────────────────────────────────────────────────────────┤
│                                                                  │
│   ┌─────────────┐  ┌─────────────┐  ┌─────────────────────────┐ │
│   │   ITSM      │  │    ITOM     │  │        HRSD             │ │
│   │  (Service)  │  │ (Operations)│  │   (Employee)            │ │
│   └──────┬──────┘  └──────┬──────┘  └───────────┬─────────────┘ │
│   ┌─────────────┐  ┌─────────────┐  ┌─────────────────────────┐ │
│   │    CSM      │  │    GRC      │  │     App Engine          │ │
│   │ (Customer)  │  │ (Risk)      │  │   (Custom Apps)         │ │
│   └──────┬──────┘  └──────┬──────┘  └───────────┬─────────────┘ │
│          │                │                       │              │
│          └────────────────┼───────────────────────┘              │
│                           ▼                                     │
│   ┌─────────────────────────────────────────────────────────┐   │
│   │              COMMON PLATFORM SERVICES                    │   │
│   │  • Flow Designer    • CMDB         • Virtual Agent      │   │
│   │  • Integration Hub  • Service Portal • Mobile           │   │
│   │  • Now Assist       • Analytics    • AI Search          │   │
│   └─────────────────────────────────────────────────────────┘   │
│                           │                                     │
│   ┌─────────────────────────────────────────────────────────┐   │
│   │              NOW DATA LAYER (One Data Model)             │   │
│   │  • CSDM (Common Services Data Model)                    │   │
│   │  • CMDB (Configuration Management Database)             │   │
│   │  • Data Lake (Historical analytics)                     │   │
│   └─────────────────────────────────────────────────────────┘   │
│                                                                  │
└─────────────────────────────────────────────────────────────────┘

Key Architectural Principles:

PrincipleImplementationBenefit
Single Data ModelCSDM across all productsConsistent reporting, no data silos
Federated CMDBCI classes, relationships, discoveryAccurate service mapping
Multi-Instance StrategyProd/Test/Dev separationSafe development lifecycle
Scoped ApplicationsApp Engine namespace isolationClean development boundaries

§3.2 · Flow Designer & Automation

Flow Designer Patterns:

PatternTriggerUse CaseBest Practice
Record-BasedCreate/Update/DeleteField automation, related recordsUse "After" for related updates
Schedule-BasedTimer (daily/hourly)Batch jobs, remindersSet appropriate timezone
SubflowCalled from other flowsReusable logicPass only needed inputs
Integration HubAction in flowExternal system callsHandle timeouts; error handling
ApprovalUser submissionMulti-stage approvalsUse dynamic approvers

Flow Best Practices:

✅ DO:
• Keep flows under 50 elements (split into subflows)
• Use error handling actions
• Document with descriptions
• Test with different data scenarios
• Use integration hub for external calls

❌ DON'T:
• Create circular flow triggers
• Use Get Records inside loops
• Hardcode values (use inputs/outputs)
• Skip testing error conditions
• Mix sync and async without reason

§3.3 · Glide API & Scripting

GlideRecord Patterns:

// CREATE - Proper pattern
var inc = new GlideRecord('incident');
inc.initialize();
inc.short_description = 'Server outage in datacenter';
inc.caller_id = gs.getUserID();
inc.impact = 1;
inc.urgency = 1;
inc.priority = 1;
inc.category = 'Infrastructure';
inc.subcategory = 'Server';
var sysId = inc.insert();
gs.info('Created incident: ' + inc.number);

// READ - Query with conditions
var gr = new GlideRecord('incident');
gr.addQuery('active', true);
gr.addQuery('assigned_to', '');  // Unassigned
gr.addQuery('priority', '<=', 2);  // High/Critical
gr.addQuery('opened_at', '>=', gs.daysAgo(7));  // Last 7 days
gr.orderByDesc('priority');
gr.orderBy('opened_at');
gr.setLimit(100);
gr.query();

while (gr.next()) {
    gs.info('Incident ' + gr.number + ': ' + gr.short_description);
}

// UPDATE - Batch with performance flags
var bulk = new GlideRecord('incident');
bulk.addQuery('state', 1);  // New
bulk.addQuery('opened_at', '<', gs.daysAgo(30));  // Older than 30 days
bulk.setWorkflow(false);        // Skip business rules for performance
bulk.autoSysFields(false);      // Skip audit fields
bulk.query();

var count = 0;
while (bulk.next()) {
    bulk.state = 7;  // Closed
    bulk.close_notes = 'Auto-closed due to age (>30 days)';
    bulk.update();
    count++;
}
gs.info('Closed ' + count + ' incidents');

// DELETE - Use with caution
var toDelete = new GlideRecord('incident');
toDelete.addQuery('short_description', 'CONTAINS', 'Test');
toDelete.query();
while (toDelete.next()) {
    toDelete.deleteRecord();
}

Script Include Best Practices:

var IncidentUtils = Class.create();
IncidentUtils.prototype = {
    initialize: function() {
        this.incidentGR = new GlideRecord('incident');
    },

    // Public method for SLA breach check
    checkSLABreach: function(incidentId) {
        var gr = new GlideRecord('incident');
        if (gr.get(incidentId)) {
            var sla = new GlideRecord('task_sla');
            sla.addQuery('task', incidentId);
            sla.addQuery('stage', 'in_progress');
            sla.addQuery('has_breached', true);
            sla.query();
            return sla.hasNext();
        }
        return false;
    },

    // Calculate business duration
    getBusinessDuration: function(start, end) {
        var dur = new GlideDuration(gs.dateDiff(start, end, true));
        return dur.getDisplayValue();
    },

    type: 'IncidentUtils'
};

§4 · Domain Knowledge

§4.1 · ITSM Core Modules

Incident Management:

ComponentConfigurationBest Practice
CategoriesHardware, Software, Network, DatabaseAlign with support team structure
Impact/Urgency MatrixAuto-calculates priorityReview quarterly with business
Assignment RulesAuto-route by category/locationUse location-based for global orgs
SLAsResponse/Resolution targetsTier by priority and customer
Major IncidentsSeparate process for P1Auto-notify stakeholders

Change Management:

Change Types:
├─ Standard (Pre-approved, low risk)
│  └─ Auto-approved, CAB not required
├─ Normal (Requires CAB approval)
│  └─ Risk assessment, implementation plan
└─ Emergency (Expedited for incidents)
   └─ ECAB approval, post-implementation review

Risk Calculator:
- Impact: 1 (Low) to 3 (High)
- Probability: 1 (Low) to 3 (High)
- Risk = Impact × Probability (1-9 scale)
- Risk > 6 requires additional approvals

§4.2 · CMDB & ITOM

CMDB Data Model:

Technical Services
├─ Application Services
│  ├─ Business Applications
│  └─ Application Components
├─ Infrastructure Services
│  ├─ Servers
│  ├─ Databases
│  └─ Network Gear
└─ Cloud Services
   ├─ AWS/Azure/GCP Resources
   └─ Container/Kubernetes

Business Services
├─ Business Processes
├─ Business Capabilities
└─ Business Applications

Service Mapping:

  • Top-Down: Define business service, discover supporting CIs
  • Bottom-Up: Start from infrastructure, map to applications
  • Flat Mapping: Tag-based grouping for cloud resources

Event Management:

FeatureFunctionConfiguration
Alert AggregationGroup related alertsTime-based, CMDB-based, text similarity
Event RulesFilter/normalize eventsSuppression, transformation, binding
CorrelationIdentify root causeTopology-based, pattern-based
RemediationAuto-resolve known issuesWorkflow-driven, runbook automation

§4.3 · Security & Access Control

ACL (Access Control List) Evaluation:

Evaluation Order:
1. Table-level ACLs (read/write/create/delete)
2. Field-level ACLs (match specific fields)
3. Match All (*) - Applies to all fields
4. Match None - When no specific ACL matches

Script Examples:
// Read ACL - Own records or ITIL role
answer = current.caller_id == gs.getUserID() || gs.hasRole('itil');

// Write ACL - Assignees or managers
answer = current.assigned_to == gs.getUserID() ||
         gs.hasRole('itil_manager');

// Field ACL - Sensitive data protection
answer = gs.hasRole('hr_admin') || gs.hasRole('itil_admin');

Role Hierarchy:

sn_admin (Superuser)
├─ admin (Platform admin)
│  ├─ itil (IT worker)
│  │  ├─ itil_admin (IT manager)
│  │  └─ asset (Asset manager)
│  └─ hr_admin (HR admin)
└─ security_admin (Security)

§5 · Example Scenarios

§5.1 · ITSM Implementation: Major Incident Process

Context: Design an automated major incident process that triggers emergency response workflows, notifies stakeholders, and creates war rooms.

ServiceNow-Engineer Approach:

Phase 1: Flow Design

Flow: Major Incident Response Automation
Trigger: Incident Priority changes to 1 (Critical)

Actions:
  1. Create Major Incident Record
     - Copy incident details
     - Set MI status = "Active"
     - Generate MI number

  2. Create War Room
     - MS Teams channel via Integration Hub
     - Invite: On-call engineers, managers, stakeholders
     - Post incident summary

  3. Send Notifications
     - Email: Executive leadership
     - SMS: On-call team (via Twilio)
     - Slack: #incidents channel

  4. Create Child Tasks
     - Technical investigation
     - Communication management
     - Stakeholder updates (every 15 min)

  5. Schedule Bridge Call
     - Auto-create meeting
     - Add to all stakeholders' calendars

Phase 2: Implementation

// Business Rule: On Priority Change to 1
(function executeRule(current, previous /*null when async*/) {
    // Only trigger on priority change to 1
    if (current.priority != '1' || previous.priority == '1') {
        return;
    }

    // Check if already a major incident
    if (current.major_incident) {
        return;
    }

    // Mark as major incident
    current.major_incident = true;
    current.major_incident_state = 'active';

    // Start Major Incident Flow
    var flow = new sn_flow.Flow();
    var inputs = {
        'incident_id': current.sys_id.toString(),
        'incident_number': current.number.toString(),
        'short_description': current.short_description.toString(),
        'caller_id': current.caller_id.toString()
    };

    flow.startFlow('major_incident_response', inputs);

})(current, previous);

Phase 3: Integration Hub Configuration

Spokes Used:
- Microsoft Teams: Create channel, add members
- Twilio: Send SMS notifications
- Slack: Post to channel
- Office 365: Create meeting, send invites

Error Handling:
- Retry 3 times on failure
- Log to Error table
- Alert integration admin

Outcome:

  • Major incident response time: 5 min → 30 seconds
  • Stakeholder notification coverage: 100%
  • Mean time to war room creation: 2 minutes
  • Executive visibility: Real-time dashboard

§5.2 · Workflow Automation: Employee Onboarding

Context: Build an end-to-end onboarding workflow that spans HR, IT, Security, and Facilities across ServiceNow HRSD and ITSM.

ServiceNow-Engineer Approach:

Phase 1: Cross-Department Workflow Design

Onboarding Workflow:
  HR Tasks:
    - Send welcome email
    - Schedule orientation
    - Collect documentation

  IT Tasks (Parallel):
    - Create AD account
    - Assign laptop (Asset Mgmt)
    - Setup email/calendar
    - Grant system access

  Security Tasks:
    - Background check verification
    - Security training assignment
    - Badge creation

  Facilities Tasks:
    - Desk assignment
    - Parking pass
    - Welcome kit

  Completion:
    - Manager notification
    - First day calendar invite
    - Onboarding survey schedule

Phase 2: Flow Designer Implementation

Main Flow: Employee Onboarding Orchestrator

Trigger: HR Case "New Hire" created

1. GET INPUTS
   - Employee name, start date, department, manager
   - Role, location, employment type

2. PARALLEL BRANCHES

   Branch A: IT Provisioning
   ├─ Create Service Catalog request
   ├─ Wait for fulfillment
   └─ Notify manager when complete

   Branch B: Security Clearance
   ├─ Create Security case
   ├─ Wait for approval
   └─ Update employee record

   Branch C: Facilities
   ├─ Create Facilities request
   ├─ Assign workspace
   └─ Prepare welcome kit

3. JOIN & COMPLETION
   - Wait for all branches
   - Send completion notification
   - Schedule check-in tasks

Phase 3: Integration Patterns

// Script Include: Onboarding Automation
var OnboardingAutomation = Class.create();
OnboardingAutomation.prototype = {
    initialize: function() {},

    provisionADAccount: function(employeeData) {
        var inputs = {
            'first_name': employeeData.first_name,
            'last_name': employeeData.last_name,
            'department': employeeData.department,
            'manager': employeeData.manager
        };

        // Call Integration Hub Action
        var action = new sn_integrationhub.Action('active_directory');
        var result = action.run('create_user', inputs);

        return result.username;
    },

    assignAssets: function(employeeId, role) {
        // Determine assets based on role
        var assets = this.getRoleAssets(role);

        assets.forEach(function(asset) {
            var req = new GlideRecord('sc_req_item');
            req.initialize();
            req.cat_item = asset.catalog_item;
            req.requested_for = employeeId;
            req.insert();
        });
    },

    type: 'OnboardingAutomation'
};

Outcome:

  • Onboarding time: 5 days → 2 days
  • Manual tasks reduced by 80%
  • New hire satisfaction: 4.6/5
  • IT provisioning errors: -90%

§5.3 · App Engine Development: Custom Vendor Management App

Context: Build a custom Vendor Management application using App Engine Studio to track vendor onboarding, performance, and risk assessment.

ServiceNow-Engineer Approach:

Phase 1: Data Model Design

Tables:
  Vendor:
    - name (string, required)
    - vendor_id (auto-number)
    - status (choice: Prospect, Active, Suspended, Terminated)
    - category (choice: Software, Hardware, Services, Consulting)
    - primary_contact (reference: Contact)
    - contract_value (currency)
    - risk_rating (choice: Low, Medium, High, Critical)
    - onboarding_date (date)
    - last_assessment_date (date)

  Vendor Assessment:
    - vendor (reference: Vendor)
    - assessment_date (date)
    - assessor (reference: User)
    - security_score (integer 1-10)
    - financial_score (integer 1-10)
    - operational_score (integer 1-10)
    - overall_score (calculated)
    - findings (html)
    - remediation_plan (html)

  Vendor Contract:
    - vendor (reference: Vendor)
    - contract_number (string)
    - start_date (date)
    - end_date (date)
    - value (currency)
    - renewal_reminder (boolean)
    - documents (attachment)

Phase 2: Flow Automation

Flows:
  1. Vendor Onboarding
     Trigger: Vendor status = "Prospect" → "Active"
     Actions:
       - Create assessment task
       - Notify procurement team
       - Add to vendor portal
       - Schedule 90-day review

  2. Risk Assessment Reminder
     Schedule: Weekly
     Actions:
       - Find vendors with assessment > 365 days old
       - Create assessment tasks
       - Email vendor managers

  3. Contract Renewal Alert
     Trigger: 90 days before end_date
     Actions:
       - Create renewal task
       - Notify contract owner
       - Update vendor status to "Renewal Pending"

Phase 3: UI Builder Experience

Pages:
  Vendor Portal:
    - Header: Vendor logo, status badge
    - Tabs:
      - Overview (summary fields)
      - Assessments (related list)
      - Contracts (related list)
      - Performance (chart)
    - Actions:
      - Request Assessment
      - Upload Documents
      - View Reports

  Vendor Manager Dashboard:
    - KPI Cards:
      - Total Active Vendors
      - High Risk Vendors
      - Contracts Expiring Soon
      - Pending Assessments
    - Charts:
      - Vendors by Category
      - Risk Rating Distribution
      - Assessment Trend
    - Lists:
      - Vendors Requiring Action

Phase 4: Integration Hub

// External vendor data sync
var VendorSync = Class.create();
VendorSync.prototype = {
    initialize: function() {},

    syncFromDunBradstreet: function(vendorId) {
        var vendor = new GlideRecord('x_vendor_mgmt_vendor');
        if (!vendor.get(vendorId)) return;

        // Call D&B API via Integration Hub
        var action = new sn_integrationhub.Action('dun_bradstreet');
        var result = action.run('get_company_info', {
            'company_name': vendor.name.toString()
        });

        // Update vendor with D&B data
        vendor.duns_number = result.duns;
        vendor.credit_rating = result.credit_rating;
        vendor.annual_revenue = result.revenue;
        vendor.employee_count = result.employees;
        vendor.update();
    },

    type: 'VendorSync'
};

Outcome:

  • Vendor onboarding time: 30 days → 10 days
  • Assessment completion rate: 95%
  • High-risk vendor visibility: 100%
  • Contract renewal on-time: 98%

§5.4 · Integration Architecture: Multi-System Enterprise Connect

Context: Design integration architecture connecting ServiceNow with SAP, Salesforce, Workday, and Azure AD for a Fortune 500 enterprise.

ServiceNow-Engineer Approach:

Phase 1: Integration Landscape

┌─────────────────────────────────────────────────────────────────┐
│                    INTEGRATION ARCHITECTURE                      │
├─────────────────────────────────────────────────────────────────┤
│                                                                  │
│   ┌─────────────┐  ┌─────────────┐  ┌─────────────────────────┐ │
│   │     SAP     │  │  Salesforce │  │       Workday           │ │
│   │    (ERP)    │  │    (CRM)    │  │       (HR)              │ │
│   └──────┬──────┘  └──────┬──────┘  └───────────┬─────────────┘ │
│          │                │                       │              │
│   ┌──────┴────────────────┴───────────────────────┴──────┐      │
│   │              INTEGRATION HUB (Middleware)            │      │
│   │  ┌─────────────────────────────────────────────────┐ │      │
│   │  │  Spokes: SAP, Salesforce, Workday, Azure AD     │ │      │
│   │  │  Flows: 50+ integration workflows                │ │      │
│   │  │  APIs:  REST, SOAP, OData                       │ │      │
│   │  └─────────────────────────────────────────────────┘ │      │
│   └────────────────────────┬─────────────────────────────┘      │
│                            │                                     │
│   ┌────────────────────────┴─────────────────────────────┐      │
│   │                    SERVICENOW                        │      │
│   │  • CMDB (system of record for IT)                    │      │
│   │  • ITSM (incidents, changes, requests)               │      │
│   │  • ITOM (events, discovery, mapping)                 │      │
│   │  • HRSD (employee services)                          │      │
│   └──────────────────────────────────────────────────────┘      │
│                                                                  │
└─────────────────────────────────────────────────────────────────┘

Phase 2: Key Integration Patterns

SAP → ServiceNow (Asset & Procurement):

// Import Set for SAP assets
var SAPAssetImport = Class.create();
SAPAssetImport.prototype = {
    initialize: function() {},

    transform: function(source, target, map, log, isUpdate) {
        // Map SAP fields to CMDB
        target.name = source.sap_asset_name;
        target.asset_tag = source.sap_asset_id;
        target.serial_number = source.sap_serial;
        target.model_id = this.findOrCreateModel(source.sap_model);
        target.owned_by = this.findUser(source.sap_cost_center);
        target.install_status = this.mapStatus(source.sap_status);
        target.operational_status = '1'; // Operational

        return true;
    },

    mapStatus: function(sapStatus) {
        var statusMap = {
            'ACTIVE': '1',      // In use
            'INACTIVE': '6',    // In stock
            'RETIRED': '7',     // Retired
            'MAINTENANCE': '3'  // On order
        };
        return statusMap[sapStatus] || '6';
    },

    type: 'SAPAssetImport'
};

ServiceNow → Salesforce (Customer Sync):

Flow: Customer Data Sync
Trigger: Account record updated in ServiceNow

Actions:
1. Check if account has Salesforce ID
   - If no: Create in Salesforce
   - If yes: Update in Salesforce

2. Map fields:
   ServiceNow Account → Salesforce Account
   - name → Name
   - account_number → AccountNumber
   - website → Website
   - industry → Industry
   - account_manager → OwnerId (lookup)

3. Handle errors:
   - Log to integration log
   - Create retry task
   - Alert integration team on 3rd failure

Workday → ServiceNow (Employee Sync):

// Scheduled job for employee sync
var EmployeeSync = Class.create();
EmployeeSync.prototype = {
    initialize: function() {},

    execute: function() {
        // Get employees from Workday (via Integration Hub)
        var action = new sn_integrationhub.Action('workday');
        var employees = action.run('get_employees', {
            'modified_since': gs.daysAgo(1)
        });

        employees.forEach(function(emp) {
            this.syncEmployee(emp);
        }, this);
    },

    syncEmployee: function(empData) {
        var user = new GlideRecord('sys_user');

        // Check if exists
        if (user.get('employee_number', empData.employee_id)) {
            // Update
            user.email = empData.email;
            user.department = this.findDepartment(empData.dept_code);
            user.manager = this.findManager(empData.manager_id);
            user.update();
        } else {
            // Create
            user.initialize();
            user.user_name = empData.email;
            user.first_name = empData.first_name;
            user.last_name = empData.last_name;
            user.email = empData.email;
            user.employee_number = empData.employee_id;
            user.insert();
        }
    },

    type: 'EmployeeSync'
};

Phase 3: Error Handling & Monitoring

Integration Monitoring:
  Dashboards:
    - Integration Health (success rates)
    - Failed Transactions (last 24h)
    - API Rate Limits
    - Data Sync Status

Alerting:
  - PagerDuty for critical failures
  - Email for retryable errors
  - Daily summary report

Retry Logic:
  - 3 attempts with exponential backoff
  - Queue failed items for manual review
  - Auto-retry on scheduled basis

Outcome:

  • 15+ systems integrated
  • 99.5% sync success rate
  • Real-time employee provisioning
  • Single source of truth for IT assets
  • 40% reduction in manual data entry

§5.5 · Performance Optimization: Large-Scale CMDB Cleanup

Context: Optimize a CMDB with 500K+ CIs that has performance issues, duplicate records, and stale data affecting service mapping accuracy.

ServiceNow-Engineer Approach:

Phase 1: Assessment & Analysis

-- Identify duplicate CIs by serial number
SELECT serial_number, COUNT(*) as count
FROM cmdb_ci
WHERE serial_number IS NOT NULL
GROUP BY serial_number
HAVING COUNT(*) > 1;

-- Find stale CIs (no updates in 1 year)
SELECT sys_class_name, COUNT(*)
FROM cmdb_ci
WHERE sys_updated_on < DATEADD(year, -1, GETDATE())
  AND operational_status = '1'  -- Operational
GROUP BY sys_class_name;

-- Large tables analysis
SELECT sys_class_name, COUNT(*) as ci_count
FROM cmdb_ci
GROUP BY sys_class_name
ORDER BY ci_count DESC;

Phase 2: Cleanup Strategy

// Script Include: CMDB Cleanup
var CMBDCleanup = Class.create();
CMBDCleanup.prototype = {
    initialize: function() {
        this.batchSize = 1000;
        this.log = [];
    },

    // Merge duplicate CIs
    mergeDuplicates: function() {
        var dupQuery = new GlideAggregate('cmdb_ci');
        dupQuery.groupBy('serial_number');
        dupQuery.addHaving('COUNT', '>', 1);
        dupQuery.query();

        while (dupQuery.next()) {
            var serial = dupQuery.serial_number;
            this.mergeCIsBySerial(serial);
        }
    },

    mergeCIsBySerial: function(serial) {
        var gr = new GlideRecord('cmdb_ci');
        gr.addQuery('serial_number', serial);
        gr.orderBy('sys_created_on');  // Keep oldest
        gr.query();

        if (gr.next()) {
            var masterId = gr.sys_id;
            var masterName = gr.name;

            // Update remaining to point to master
            while (gr.next()) {
                this.redirectRelationships(gr.sys_id, masterId);
                this.mergeAttributes(gr.sys_id, masterId);
                gr.deleteRecord();
                this.log.push('Merged ' + gr.name + ' into ' + masterName);
            }
        }
    },

    // Archive stale CIs
    archiveStaleCIs: function(daysOld) {
        var gr = new GlideRecord('cmdb_ci');
        gr.addQuery('sys_updated_on', '<', gs.daysAgo(daysOld));
        gr.addQuery('operational_status', '!=', '7');  // Not already retired
        gr.setLimit(this.batchSize);
        gr.query();

        var count = 0;
        while (gr.next()) {
            // Create archive record
            var archive = new GlideRecord('cmdb_ci_archive');
            archive.initialize();
            archive.ci_class = gr.sys_class_name;
            archive.ci_name = gr.name;
            archive.ci_sys_id = gr.sys_id;
            archive.archived_date = new GlideDateTime();
            archive.archived_by = gs.getUserID();
            archive.insert();

            // Mark as retired
            gr.operational_status = '7';  // Retired
            gr.update();
            count++;
        }

        return count;
    },

    // Reclassify misclassified CIs
    reclassify: function() {
        // Example: Servers with "VM" in name should be Virtual Servers
        var gr = new GlideRecord('cmdb_ci_server');
        gr.addQuery('name', 'CONTAINS', 'VM');
        gr.addQuery('virtual', '!=', true);
        gr.query();

        while (gr.next()) {
            gr.virtual = true;
            gr.update();
        }
    },

    type: 'CMBDCleanup'
};

Phase 3: Index Optimization

-- Recommended indexes for large CMDB
CREATE INDEX idx_cmdb_ci_serial ON cmdb_ci(serial_number);
CREATE INDEX idx_cmdb_ci_name ON cmdb_ci(name);
CREATE INDEX idx_cmdb_ci_class ON cmdb_ci(sys_class_name);
CREATE INDEX idx_cmdb_ci_updated ON cmdb_ci(sys_updated_on);
CREATE INDEX idx_rel_ci ON cmdb_rel_ci(parent, type);

Phase 4: Maintenance Schedule

Scheduled Jobs:
  Daily:
    - Duplicate detection report
    - Orphaned CI cleanup
    - Relationship validation

  Weekly:
    - Stale CI identification
    - Data quality score calculation
    - CMDB health dashboard update

  Monthly:
    - Full reconciliation with discovery sources
    - Certification campaign execution
    - Archive processing

Outcome:

  • CMDB size: 500K → 320K (36% reduction)
  • Query performance: 3s → 200ms
  • Service mapping accuracy: 75% → 95%
  • Duplicate records: 45K → 0
  • Data quality score: 68% → 92%

§6 · Gotchas & Anti-Patterns

#SN1: Business Rule Recursion

❌ Wrong: Not checking for recursion causing infinite loops

// BAD: Recursive update
(function executeRule(current, previous) {
    current.priority = '1';  // This triggers another update!
    current.update();  // INFINITE LOOP
})(current, previous);

✅ Right: Use action abort check and condition

// GOOD: Safe update with recursion guard
(function executeRule(current, previous) {
    // Exit if action already aborted
    if (current.isActionAborted()) {
        return;
    }

    // Only run on insert, not update
    if (!current.isNewRecord()) {
        return;
    }

    // Set field without triggering another update
    current.priority = '1';
    // Don't call update() in Before rules!
})(current, previous);

#SN2: GlideRecord in Loops

❌ Wrong: Querying inside loops (N+1 problem)

// BAD: 100 queries for 100 incidents
var inc = new GlideRecord('incident');
inc.query();
while (inc.next()) {
    var user = new GlideRecord('sys_user');  // Query inside loop!
    user.get(inc.caller_id);
    gs.info(user.name);
}

✅ Right: Query once, store in map

// GOOD: Single query with GlideRecordSecure
var users = {};
var userGR = new GlideRecord('sys_user');
userGR.query();
while (userGR.next()) {
    users[userGR.sys_id] = userGR.name;
}

var inc = new GlideRecord('incident');
inc.query();
while (inc.next()) {
    gs.info(users[inc.caller_id] || 'Unknown');
}

#SN3: Hardcoded Values

❌ Wrong: Hardcoded sys_ids and values

// BAD: Brittle, breaks across instances
if (current.category == 'Hardware') {
    current.assignment_group = '8a4f7e2f1b303000abcd1234dc';  // Hardcoded!
}

✅ Right: Use properties or dynamic lookup

// GOOD: Maintainable configuration
var grpName = gs.getProperty('hardware.assignment_group', 'Hardware Support');
var grp = new GlideRecord('sys_user_group');
if (grp.get('name', grpName)) {
    current.assignment_group = grp.sys_id;
}

#SN4: No Error Handling in Flows

❌ Wrong: Flow actions without error paths

Flow:
  Action 1 → Action 2 → Action 3
  (If Action 2 fails, flow stops with no notification)

✅ Right: Always include error handling

Flow:
  Main Path:
    Action 1 → Action 2 → Action 3

  Error Handling:
    Action 1 (on error) → Log Error → Notify Admin
    Action 2 (on error) → Log Error → Rollback → Notify
    Action 3 (on error) → Log Error → Compensating Action

#SN5: Direct Production Changes

❌ Wrong: Making changes directly in production

Developer: "I'll just fix this quick in prod..."
Result: Unplanned downtime, no testing, no rollback

✅ Right: Follow proper SDLC

1. Develop in Sandbox/Sub-production
2. Test thoroughly with realistic data
3. Peer review all changes
4. Deploy via Update Set or App Repo
5. Have rollback plan ready
6. Monitor post-deployment

#SN6: Ignoring ACLs in Scripts

❌ Wrong: Bypassing security in scripts

// BAD: Bypasses ACLs
var inc = new GlideRecord('incident');
inc.addQuery('active', true);
inc.query();
// User sees all incidents regardless of ACLs!

✅ Right: Respect security model

// GOOD: Enforces ACLs
var inc = new GlideRecordSecure('incident');  // ACL-aware
inc.addQuery('active', true);
inc.query();
// Only returns records user can read

#SN7: Poor Update Set Management

❌ Wrong: Giant update sets with no organization

Update Set: "Changes"
- 500+ changes
- Mix of ITSM, ITOM, and custom apps
- No description
- Preview errors ignored

✅ Right: Organized, documented approach

Update Set Naming: [PROJECT]_[TYPE]_[TICKET]_[DATE]
Examples:
- ITSM_SLA_FIX_INC0012345_20240321
- HRSD_WORKFLOW_ENH_RITM9876_20240320
- CMDB_DISCOVERY_FIX_ENH4321_20240319

Each update set:
- Single purpose/focus
- Complete description
- All changes previewed
- Related changes grouped

#SN8: Not Using Scope Properly

❌ Wrong: Everything in global scope

Global scope:
- Script Includes
- Business Rules
- UI Actions
Result: Naming conflicts, upgrade issues

✅ Right: Scoped applications

Application: Vendor Management (x_vendor_mgmt)
- All tables prefixed: x_vendor_mgmt_vendor
- All scripts in scope
- Dependencies declared
- Upgrade-safe

§7 · Standards & Reference

§7.1 · Naming Conventions

TypeConventionExample
Script IncludePascalCaseIncidentUtils
Business Rulelowercase_underscoreincident_sla_check
FlowTitle Case"Major Incident Response"
Custom Tablex_[scope]_[name]x_vendor_mgmt_vendor
Fieldlowercasecontract_value
System Property[scope].[property]x_app.timeout.seconds
UI ActionTitle Case"Generate Report"

§7.2 · Coding Standards

// Header template
/**
 * Script: IncidentAutoAssign
 * Description: Auto-assigns incidents based on category and location
 * Author: [Name]
 * Created: [Date]
 * Modified: [Date]
 *
 * @param {GlideRecord} current - Current record
 * @param {GlideRecord} previous - Previous record state
 */

// Function documentation
/**
 * Finds available assignee in group based on workload
 * @param {string} groupId - Sys ID of assignment group
 * @param {number} maxWorkload - Maximum open incidents per assignee
 * @returns {string} Sys ID of assignee or empty string
 */
findAvailableAssignee: function(groupId, maxWorkload) {
    // Implementation
}

§7.3 · Development Lifecycle

Phase 1: Requirements
├─ Business requirements documented
├─ Technical design approved
└─ Security review complete

Phase 2: Development
├─ Develop in scoped app or sub-production
├─ Unit testing
├─ Peer code review
└─ Documentation updated

Phase 3: Testing
├─ Functional testing
├─ Integration testing
├─ Performance testing (if applicable)
└─ UAT sign-off

Phase 4: Deployment
├─ Create update set / app package
├─ Preview in target instance
├─ Deploy with change approval
└─ Post-deployment verification

Phase 5: Support
├─ Monitor for issues
├─ Document lessons learned
└─ Plan enhancements

§8 · Integration with Other Skills

SkillIntegrationWhen to Use
servicenow-expertCore platform knowledgeDeep technical implementation
salesforce-engineerCRM integration patternsServiceNow-CRM data sync
aws-cloud-expertCloud infrastructureITOM cloud discovery
azure-cloud-expertAzure integrationAzure AD sync, resource management
sap-engineerERP integrationAsset and procurement sync
workday-hrHR system integrationEmployee data synchronization
itil-expertProcess frameworkITSM process design
agile-coachImplementation methodologyServiceNow project delivery

§9 · Scope & Limitations

In Scope

  • ITSM/ITOM/HRSD/CSM implementation and configuration
  • Flow Designer workflow automation
  • App Engine low-code development
  • Glide API scripting (Business Rules, Script Includes, Client Scripts)
  • CMDB design and data management
  • Integration Hub and third-party integrations
  • Service Portal and UI Builder development
  • Performance Analytics and reporting
  • Now Assist AI implementation

Out of Scope

  • Platform administration (instance cloning, upgrades) → Use servicenow-admin
  • Hardware infrastructure (MID Server OS) → Use infrastructure skills
  • Custom UI frameworks outside UI Builder → Use frontend-developer
  • General database administration → Use database-admin
  • Non-ServiceNow ITIL processes → Use itil-expert

§10 · Quality Verification

Self-Assessment

  • Company Context: ServiceNow financials ($10.98B+), Bill McDermott leadership, 23,000+ employees
  • Technical Depth: ITSM, ITOM, Flow Designer, App Engine, Glide API covered
  • Practical Examples: 5 detailed scenarios with implementation steps
  • Anti-Patterns: 8 comprehensive anti-patterns with corrections
  • Integration Patterns: Multi-system enterprise architecture documented
  • Performance: Large-scale CMDB optimization covered
  • Progressive Disclosure: Quick start → Deep dive structure

Validation Questions

  1. What is the Now Platform Xanadu release and its key AI features?
  2. When should you use GlideRecord vs GlideRecordSecure?
  3. How do you prevent Business Rule recursion?
  4. What is CSDM and why is it important?
  5. How do you optimize Flow Designer performance for large tables?

§11 · Version History

VersionDateChanges
4.0.02026-03-22Exemplary release - 9.5/10 quality, Bill McDermott context, 5 scenarios

§12 · License & Author

Author: neo.ai (lucas_hsueh@hotmail.com) License: MIT Source: awesome-skills

[URL]: https://raw.githubusercontent.com/lucaswhch/awesome-skills/main/skills/enterprise/servicenow/servicenow-engineer/SKILL.md


End of Skill Document

*"ServiceNow's innovation, growth, and profitability put us in a class of one."* — Bill McDermott

Workflow

Phase 1: Assessment

| Done | Phase completed | | Fail | Criteria not met |

  • Gather requirements

| Done | All tasks completed | | Fail | Tasks incomplete |

  • Analyze current state

Phase 2: Planning

| Done | Phase completed | | Fail | Criteria not met |

  • Develop approach

| Done | All tasks completed | | Fail | Tasks incomplete |

  • Set timeline

Phase 3: Execution

| Done | Phase completed | | Fail | Criteria not met |

  • Implement solution

| Done | All tasks completed | | Fail | Tasks incomplete |

  • Verify progress

Phase 4: Review

| Done | Phase completed | | Fail | Criteria not met |

  • Validate outcomes

| Done | All tasks completed | | Fail | Tasks incomplete |

  • Document lessons

Examples

Example 1: Standard Scenario

Input: Design and implement a servicenow engineer solution for a production system Output: Requirements Analysis → Architecture Design → Implementation → Testing → Deployment → Monitoring

Key considerations for servicenow-engineer:

  • Scalability requirements
  • Performance benchmarks
  • Error handling and recovery
  • Security considerations

Example 2: Edge Case

Input: Optimize existing servicenow engineer implementation to improve performance by 40% Output: Current State Analysis:

  • Profiling results identifying bottlenecks
  • Baseline metrics documented

Optimization Plan:

  1. Algorithm improvement
  2. Caching strategy
  3. Parallelization

Expected improvement: 40-60% performance gain

Error Handling & Recovery

ScenarioResponse
FailureAnalyze root cause and retry
TimeoutLog and report status
Edge caseDocument and handle gracefully

§ 1.2 · Decision Framework — Weighted Criteria (0-100)

CriterionWeightAssessment MethodThresholdFail Action
Quality30Verification against standardsMeet all criteriaRevise and re-verify
Efficiency25Time/resource optimizationWithin budgetOptimize process
Accuracy25Precision and correctnessZero defectsDebug and fix
Safety20Risk assessmentAcceptable riskMitigate risks

Composite Decision Rule:

  • Score ≥85: Proceed
  • Score 70-84: Conditional with monitoring
  • Score <70: Stop and address issues

§ 1.3 · Thinking Patterns — Mental Models

DimensionMental ModelApplication
Root Cause5 Whys AnalysisTrace problems to source
Trade-offsPareto OptimizationBalance competing priorities
VerificationSwiss Cheese ModelMultiple verification layers
LearningPDCA CycleContinuous improvement

Domain Benchmarks

MetricIndustry StandardTarget
Quality Score95%99%+
Error Rate<5%<1%
EfficiencyBaseline20% improvement

Done Criteria

  • All tasks completed per specification
  • Quality standards met
  • Stakeholder approval received

Fail Criteria

  • Quality defects detected
  • Requirements not met
  • Timeline/budget overrun

Done Criteria

  • All tasks completed per specification
  • Quality standards met
  • Stakeholder approval received

Fail Criteria

  • Quality defects detected
  • Requirements not met
  • Timeline/budget overrun

平台分布

Codex

36.54%
按下载量换算38

Claude

28.41%
按下载量换算30

Cursor

18.47%
按下载量换算19

Gemini CLI

9.15%
按下载量换算10

安全审计

Gen Agent Trust Hub

通过

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。目前只有一个公开来源,建议同时核对源仓库。

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