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maintainx-observability Implement comprehensive observability for MaintainX integrations.
Use when setting up monitoring, logging, tracing, and alerting
for MaintainX API integrations.
Trigger with phrases like "maintainx monitoring", "maintainx logging",
"maintainx metrics", "maintainx observability", "maintainx alerts".
跳到安装 Skills Marketplace 发现并探索由社区构建的 Agent Skills
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/jeremylongshore/claude-code-plugins-plus-skills --skill maintainx-observability命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
下载 Zip 下载中... 同仓库更多 Skills Implement user sign-up and sign-in flows with Clerk.
Use when building authentication UI, customizing sign-in experience,
or implementing OAuth social login.
Trigger with phrases like "clerk sign-in", "clerk sign-up",
"clerk login flow", "clerk OAuth", "clerk social login".
Implement session management and middleware with Clerk.
Use when managing user sessions, configuring route protection,
or implementing token refresh and custom JWT templates.
Trigger with phrases like "clerk session", "clerk middleware",
"clerk route protection", "clerk token", "clerk JWT".
Configure enterprise SSO, role-based access control, and organization management.
Use when implementing SSO integration, configuring role-based permissions,
or setting up organization-level controls.
Trigger with phrases like "clerk SSO", "clerk RBAC",
"clerk enterprise", "clerk roles", "clerk permissions", "clerk organizations".
jeremylongshore
jeremylongshore/claude-code-plugins-plus-skills
打开 GitHub 仓库 name maintainx-observability description Implement comprehensive observability for MaintainX integrations.
Use when setting up monitoring, logging, tracing, and alerting
for MaintainX API integrations.
Trigger with phrases like "maintainx monitoring", "maintainx logging",
"maintainx metrics", "maintainx observability", "maintainx alerts".
allowed-tools Read, Write, Edit, Bash(npm:*) version 1.11.0 license MIT author Jeremy Longshore <jeremy@intentsolutions.io> tags ["saas","maintainx","api","monitoring","observability"] compatibility Designed for Claude Code, also compatible with Codex and OpenClaw
MaintainX Observability
Overview
Implement metrics, structured logging, and alerting for MaintainX integrations to ensure reliability and rapid issue detection.
Prerequisites
MaintainX integration deployed
Node.js 18+
Monitoring platform (Prometheus/Grafana, Datadog, or CloudWatch)
Instructions
Step 1: Prometheus Metrics
import { Counter , Histogram , Gauge , Registry } from 'prom-client' ;
const register = new Registry ();
export const metrics = {
apiRequests : new Counter ({
name : 'maintainx_api_requests_total' ,
help : 'Total MaintainX API requests' ,
labelNames : ['method' , 'endpoint' , 'status' ],
registers : [register],
}),
apiLatency : new Histogram ({
name : 'maintainx_api_latency_seconds' ,
help : 'MaintainX API request latency' ,
labelNames : ['method' , 'endpoint' ],
buckets : [0.1 , 0.25 , 0.5 , 1 , 2.5 , 5 , 10 ],
registers
rateLimitHits
new
Counter
name
'maintainx_rate_limit_hits_total'
help
'Times rate limited by MaintainX API'
registers
workOrdersProcessed
new
Counter
name
'maintainx_work_orders_processed_total'
help
'Work orders processed'
labelNames
'action'
'status'
registers
syncLag
new
Gauge
name
'maintainx_sync_lag_seconds'
help
'Seconds since last successful sync'
registers
export
Step 2: Instrumented API Client
import axios, { AxiosInstance } from 'axios' ;
import { metrics } from './metrics' ;
export function createInstrumentedClient (apiKey : string AxiosInstance {
const client = axios.create ({
baseURL : 'https://api.getmaintainx.com/v1' ,
headers : { Authorization : `Bearer ${apiKey} ` , 'Content-Type' : 'application/json' },
timeout : 30_000 ,
});
client.interceptors .request .use ((config ) => {
(config as any ).__startTime = process.hrtime .bigint ();
return config;
});
client.interceptors .response .use (
(response ) => {
const elapsed = Number (process.hrtime .bigint () - (response.config as any ).__startTime ) / 1e9 ;
const endpoint = response.config .url ?.split ('?' )[0 ] || 'unknown' ;
metrics.apiRequests .inc ({
method : response.config .method ?.toUpperCase () || 'GET' ,
endpoint,
status : String (response.status ),
});
metrics.apiLatency .observe (
{ method : response.config .method ?.toUpperCase () || 'GET' , endpoint },
elapsed,
);
return response;
},
(error ) => {
const status = error.response ?.status || 0 ;
const endpoint = error.config ?.url ?.split ('?' )[0 ] || 'unknown' ;
metrics.apiRequests .inc ({
method : error.config ?.method ?.toUpperCase () || 'GET' ,
endpoint,
status : String (status),
});
if (status === 429 ) {
metrics.rateLimitHits .inc ();
}
throw error;
},
);
return client;
}
Step 3: Structured Logging
type LogLevel = 'debug' | 'info' | 'warn' | 'error' ;
interface LogEntry {
level : LogLevel ;
message : string ;
service : string ;
timestamp : string ;
[key : string ]: any ;
}
class StructuredLogger {
private service : string ;
constructor (service : string this .service = service;
}
private log (level : LogLevel , message : string , data ?: Record <string , any >const entry : LogEntry = {
level,
message,
service : this .service ,
timestamp : new Date ().toISOString (),
...data,
};
console .log (JSON .stringify (entry));
}
info (message : string , data ?: Record <string , any >this .log ('info' , message, data); }
warn (message : string , data ?: Record <string , any >this .log ('warn' , message, data); }
error (message : string , data ?: Record <string , any >this .log ('error' , message, data); }
debug (message : string , data ?: Record <string , any >this .log ('debug' , message, data); }
}
export const logger = new StructuredLogger ('maintainx-integration' );
logger.info ('Work order created' , { workOrderId : 12345 , priority : 'HIGH' });
logger.error ('API call failed' , { endpoint : '/workorders' , status : 500 , retryCount : 2 });
Step 4: Health and Metrics Endpoints
import express from 'express' ;
import { register, metrics } from './metrics' ;
const app = express ();
app.get ('/metrics' , async (req, res) => {
res.set ('Content-Type' , register.contentType );
res.end (await register.metrics ());
});
app.get ('/health' , async (req, res) => {
const health = {
status : 'healthy' ,
uptime : process.uptime (),
metrics : {
totalRequests : await metrics.apiRequests .get (),
rateLimitHits : await metrics.rateLimitHits .get (),
syncLagSeconds : (await metrics.syncLag .get ()).values [0 ]?.value || 0 ,
},
};
res.json (health);
});
app.listen (9090 , () => logger.info ('Metrics server on :9090' ));
Step 5: Alerting Rules (Prometheus)
groups:
- name: maintainx
rules:
- alert: MaintainXHighErrorRate
expr: rate(maintainx_api_requests_total{status=~"5.."}[5m]) > 0.1
for: 5m
labels:
severity: critical
annotations:
summary: "MaintainX API error rate > 10%"
- alert: MaintainXHighLatency
expr: histogram_quantile(0.95, rate(maintainx_api_latency_seconds_bucket[5m])) > 5
for: 5m
labels:
severity: warning
annotations:
summary: "MaintainX API p95 latency > 5s"
- alert: MaintainXRateLimited
expr: rate(maintainx_rate_limit_hits_total[5m]) > 0
for: 1m
labels:
severity: warning
annotations:
summary: "MaintainX API rate limiting detected"
- alert: MaintainXSyncStale
expr: maintainx_sync_lag_seconds > 900
for: 5m
labels:
severity: critical
annotations:
summary: "MaintainX sync lag > 15 minutes"
Output
Prometheus metrics (request count, latency histogram, rate limit counter, sync lag gauge)
Instrumented axios client automatically recording metrics on every API call
Structured JSON logging for all operations
/metrics endpoint for Prometheus scrapingAlerting rules for error rate, latency, rate limits, and sync staleness
Error Handling Issue Cause Solution Metrics endpoint 500 prom-client not initialized Ensure Registry is created before metrics Missing labels Metric name mismatch Check labelNames match inc()/observe() calls Log volume too high Debug logging in production Set LOG_LEVEL=info in production Stale sync alert Sync job stopped Check cron schedule, restart sync process
Resources
Next Steps For incident response, see maintainx-incident-runbook.
Examples Datadog integration using DogStatsD :
import StatsD from 'hot-shots' ;
const dogstatsd = new StatsD ({ prefix : 'maintainx.' });
dogstatsd.increment ('api.requests' , 1 , { endpoint : '/workorders' , status : '200' });
dogstatsd.histogram ('api.latency' , 0.45 , { endpoint : '/workorders' });
