
monitoring-terminal-errors
Watch running terminal processes for crashes and stack traces. When an error appears, navigate to the failing file and line, diagnose, and fix it automatically.
- Installs
- 453
- Last 24h
- —
- Trending rank
- —
- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/spencerpauly/awesome-cursor-skills --skill monitoring-terminal-errors- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads monitoring-terminal-errors automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Monitoring Terminal Errors
Continuously watch a running process (dev server, test runner, build) for errors and fix them as they appear.
Workflow
1. Identify the Terminal
List terminal files and find the one running the target process:
head -n 10 <terminals_folder>/*.txt
Look for terminals running dev servers (npm run dev, pnpm dev, python manage.py runserver, etc.).
2. Read Terminal Output
Read the full terminal file content. Search for error patterns:
- Stack traces:
at <function> (<file>:<line>:<col>) - Node.js:
Error:,TypeError:,ReferenceError:,ENOENT,ECONNREFUSED - Python:
Traceback (most recent call last):followed byFile "<path>", line <n> - React/Next.js:
Unhandled Runtime Error,Error: ...,Module not found - Build errors:
ERROR in,Failed to compile,SyntaxError - Vite:
[vite] Internal server error: - TypeScript:
error TS\d+:
3. Extract the Source Location
From the stack trace, extract:
- File path
- Line number
- Error message
For Node.js: at functionName (/path/to/file.ts:42:10)
For Python: File "/path/to/file.py", line 42, in function_name
4. Navigate and Fix
- Read the identified file around the error line
- Understand the error (missing import, type mismatch, undefined variable, etc.)
- Apply the fix
- Re-read the terminal file to confirm the server recovered (hot reload should pick it up)
5. Loop
If the server is still showing errors after the fix, repeat from step 2. Stop when:
- The terminal shows a clean "compiled successfully" or equivalent
- No new errors appear in the output
- You've made 5 attempts without resolution (report to user)
Tips
- Check for
exit_codein the terminal file footer — if present, the process has crashed entirely and needs a restart - Some errors cascade — fix the first/root error and the rest often disappear
- For HMR errors, the fix might just be saving the file again to trigger a rebuild
FAQ
What does the monitoring-terminal-errors skill do?
Watch running terminal processes for crashes and stack traces. When an error appears, navigate to the failing file and line, diagnose, and fix it automatically.
How do I install monitoring-terminal-errors?
Run npx skills add https://github.com/spencerpauly/awesome-cursor-skills --skill monitoring-terminal-errors in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/monitoring-terminal-errors/ (personal) or .claude/skills/monitoring-terminal-errors/ (project).
Which AI agents can use monitoring-terminal-errors?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is monitoring-terminal-errors safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains monitoring-terminal-errors?
It is published by spencerpauly in spencerpauly/awesome-cursor-skills. It has 453 recorded installs.
More from spencerpauly/awesome-cursor-skills
visual-qa-testing
spencerpauly/awesome-cursor-skills
Visually QA a web application by launching it in Cursor's built-in browser, taking screenshots, checking console errors, and auditing network requests. Use after making UI changes to verify they look correct.
auditing-security
spencerpauly/awesome-cursor-skills
Perform a systematic security audit of a codebase, checking for OWASP Top 10 vulnerabilities, secrets exposure, and insecure patterns.
responsive-testing
spencerpauly/awesome-cursor-skills
Open the app in Cursor's browser at multiple viewport sizes, screenshot each, and report any layout breakage.
suggesting-cursor-rules
spencerpauly/awesome-cursor-skills
When the user repeats the same correction or convention multiple times, suggest a Cursor rule to encode it permanently.
systematic-debugging
spencerpauly/awesome-cursor-skills
Structured debugging methodology — reproduce, isolate, hypothesize, verify. Covers git bisect, binary search, logging, and minimal reproduction.
grinding-until-pass
spencerpauly/awesome-cursor-skills
Keep iterating on code changes until the tests pass, the build succeeds, or linting is clean. Runs in a tight loop of fix → run → check → repeat. Use when you want the agent to autonomously grind through test failures or build errors.
Popular devops & cloud skills
microsoft-foundry
microsoft/azure-skills
Build, deploy, evaluate, optimize, fine-tune, and manage Microsoft Foundry agents, models, and resources end to end. USE FOR: foundry, azd ai agent, azd provision/deploy, hosted agent scaffold/develop/run/deploy/troubleshoot, prompt agent create, managed harness agent create, GitHub Copilot harness agent, create agent, update agent, add tool to agent, invoke agent, agent insights, evaluate agent, batch eval, continuous eval, continuous monitoring, agent CI/CD, optimize prompt, improve prompt, optimize agent instructions, Agent Optimizer scaffold, dataset curation from traces, deploy model, model fine-tuning (SFT/DPO/RFT), Foundry project, RBAC, role assignment, permissions, quota, capacity, region, deployment failure, AI Services, create Foundry resource, knowledge index, customize deployment, onboard, availability, training-data, grader, distillation, large file upload. DO NOT USE FOR: Azure Functions, App Service, general Azure deploy (use azure-deploy), general Azure prep (use azure
azure-diagnostics
microsoft/azure-skills
Debug Azure production issues on Azure using AppLens, Azure Monitor, resource health, and safe triage. WHEN: debug production issues, troubleshoot app service, app service high CPU, app service deployment failure, troubleshoot container apps, container app 503 or target port mismatch, troubleshoot functions, function telemetry missing or stopped after a config/connection-string change, troubleshoot AKS, VM RDP, Linux SSH, VM black screen, can't connect to VM, reset VM password, NSG or firewall blocking, kubectl cannot connect, kube-system/CoreDNS failures, pod pending, crashloop, node not ready, upgrade failures, analyze logs, KQL, insights, image pull failures, cold start issues, health probe failures, resource health, root cause of errors, troubleshoot event hubs, troubleshoot service bus, messaging SDK error, AMQP connection failure, message lock lost, lock renewal during long-running processing, service bus dead letter.
azure-prepare
microsoft/azure-skills
Prepare azd-based Azure projects for deployment: generates azure.yaml, infrastructure (Bicep/Terraform), and Dockerfiles for the Azure Developer CLI (azd) workflow. USE ONLY when the user explicitly wants to use azd as the deployment tool, or the project already has an azure.yaml file. DO NOT USE FOR: non-azd deployments, Python App Service code-only deploys (use python-appservice-deploy), or cross-cloud migration (use azure-cloud-migrate). WHEN: prepare app for azd, create azure.yaml, set up azd infrastructure, modernize app for Azure with azd, deploy with azd, function app, timer trigger, service bus trigger, event-driven function, managed identity, generate Bicep, generate Terraform, create and deploy to Azure.
azure-ai
microsoft/azure-skills
Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, OCR, convert text to speech.
azure-deploy
microsoft/azure-skills
Execute Azure deployments for ALREADY-PREPARED applications that have existing .azure/deployment-plan.md and infrastructure files. DO NOT use this skill when the user asks to CREATE a new application — use azure-prepare instead. This skill runs azd up, azd deploy, terraform apply, and az deployment commands with built-in error recovery. Requires .azure/deployment-plan.md from azure-prepare and validated status from azure-validate. WHEN: "run azd up", "run azd deploy", "execute deployment", "push to production", "push to cloud", "go live", "ship it", "bicep deploy", "terraform apply", "publish to Azure", "launch on Azure". DO NOT USE WHEN: "create and deploy", "build and deploy", "create a new app", "set up infrastructure", "create and deploy to Azure using Terraform" — use azure-prepare for these.
azure-validate
microsoft/azure-skills
Pre-deployment validation for Azure readiness. Run deep checks on configuration, infrastructure (Bicep or Terraform), RBAC role assignments, managed identity permissions, and prerequisites before deploying. WHEN: validate my app, check deployment readiness, run preflight checks, verify configuration, check if ready to deploy, validate azure.yaml, validate Bicep, test before deploying, troubleshoot deployment errors, validate Azure Functions, validate function app, validate serverless deployment, verify RBAC roles, check role assignments, review managed identity permissions, what-if analysis, validate Container Apps deployment.