coolify-incident
Skill0 starsChanged 4 months agoMITView on GitHub
Triage and respond to Coolify incidents with diagnose, logs, restart, and emergency actions. Use when production is down or degraded.
In this repository4 other files it gives its agents.
- .cursor/rules/gsd-ship-labels.mdcCursor rule
- coolify-deploySkill
- coolify-diagnoseSkill
- coolify-setupSkill
The file
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 1 is distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 67
When redeploying, use coolify-deploy watch-primary flow:
- Very specific: line 88
Never treat failed or cancelled-by-user deployment status as success.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Coolify Incident
Install this skill pack (Cursor, Claude Code, Codex):
npx skills add clezcoding/awesome-coolify -a cursor -a claude-code -a codexMCP prompt analog: incident (src/mcp/prompts.ts)
Related skills: coolify-diagnose · coolify-deploy · coolify-setup
Incident response workflow
- Resolve application UUID — from args,
.coolify/manifest.json, or ask the user. Check capabilities:
system({ action: "version" })Triage and tail application logs:
diagnose({ action: "logs", mode: "full", uuid: "<uuid>" })Follow a live application symptom when supported:
application({ action: "logs", uuid: "<uuid>", follow: true })On build or deploy suspicion, inspect deployment logs:
deployment({ action: "logs", deployment_uuid: "<deployment-uuid>" })Coolify 4.1.x supports application runtime and deployment logs. Service/database logs are unavailable because their REST endpoints do not exist.
Attempt least-destructive recovery — restart:
application({ action: "restart", uuid: "<uuid>" })If restart is insufficient — ask the human before destructive actions. Preview emergency redeploy:
emergency({ action: "redeploy_project", project_uuid: "<project-uuid>", confirm: false })Retry with
confirm: trueonly after explicit human approval.- Report incident status, actions taken, and recommended follow-up.
Deploy watch after recovery
When redeploying, use coolify-deploy watch-primary flow:
application({ action: "deploy", uuid: "<uuid>", wait: false })
deployment({ action: "watch", deployment_uuid: "<deployment_uuid>", timeout: 300 })On COOLIFY_WATCH_TIMEOUT, re-call deployment.watch with the same deployment_uuid.
Recipe shortcuts
For net-new resources during incident recovery:
recipe({ action: "create-git-app", ... })recipe({ action: "create-app-db", ... })recipe({ action: "create-one-click", ... })
Safety
confirmgates — all destructive emergency actions require preview withconfirm: false, then human approval beforeconfirm: true.revealopt-in — usereveal: trueon logs/env reads only when the human needs unmasked sensitive content.- Never treat
failedorcancelled-by-userdeployment status as success.
Example calls
system({ action: "version" })
diagnose({ action: "logs", mode: "full", uuid: "<uuid>" })
application({ action: "logs", uuid: "<uuid>", follow: true })
deployment({ action: "logs", deployment_uuid: "<deployment-uuid>" })Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

