How does it handle alerting for system failures?

The skill provides standardized YAML alerting rules that can be integrated into Prometheus or similar monitoring stacks to notify your team of downtime or cost spikes.

Does this skill require a specific Replit plan?

Yes, this skill is designed for Replit Teams for Business or Enterprise plans which provide the necessary API access and deployment features required for observability.

Can I use this with other AI agents besides Claude Code?

Yes, the skill is compatible with Claude Code, Codex, and OpenClaw as part of the micstec-skills collection.

How does it detect Replit cold starts?

It implements health ping latency measurements; significant spikes in response time are used to identify when a Repl is waking up from a sleeping state, suggesting a need for an 'always-on' tier.

What specific metrics does it help track?

It monitors deployment uptime, response latency, CPU/memory usage per Repl, daily compute costs (USD), and team-wide AI feature adoption rates.

Replit Observability & Monitoring

Name: Replit Observability & Monitoring
Author: micsapp

bymicsapp

0•

分析と監視

Implements comprehensive monitoring, health checks, and resource tracking for Replit deployments and team environments.

The Replit Observability skill empowers developers to maintain high availability and performance for their Replit-hosted applications through automated monitoring workflows. It provides specialized capabilities for tracking deployment health via API, setting up external health pings to detect cold starts, and monitoring compute usage across team projects to prevent budget overruns. By integrating alerting rules and dashboard templates, this skill helps teams proactively manage performance bottlenecks like slow environment boots or heavy nix dependencies, ensuring a stable, production-grade experience on the Replit platform.

主な機能

010 GitHub stars

02Automated deployment health monitoring via Replit API integration

03Pre-configured alerting rules for downtime and high resource usage

04External uptime tracking and latency-based cold start detection

05Dashboard configurations for tracking AI feature adoption and team activity

06Compute and resource consumption analytics for team cost management

ユースケース

01Optimizing compute costs and tracking egress usage across team Repls

02Monitoring production-grade deployments on Replit Teams for Business

03Identifying and mitigating slow application boot times and dependency overhead

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add micsapp/micstec-skills replit-observability

For use in Claude.ai and ChatGPT

主な機能

010 GitHub stars

02Automated deployment health monitoring via Replit API integration

03Pre-configured alerting rules for downtime and high resource usage

04External uptime tracking and latency-based cold start detection

05Dashboard configurations for tracking AI feature adoption and team activity

06Compute and resource consumption analytics for team cost management

ユースケース

01Optimizing compute costs and tracking egress usage across team Repls

02Monitoring production-grade deployments on Replit Teams for Business

03Identifying and mitigating slow application boot times and dependency overhead

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add micsapp/micstec-skills replit-observability

For use in Claude.ai and ChatGPT