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clezcodingclezcoding/awesome-coolify/skills/coolify-deploy/SKILL.md

coolify-deploy

Skill0 starsChanged 4 months agoMITView on GitHub

Deploy a Coolify application and monitor until terminal status. Use when triggering deployments or watching build progress.

2 other projects use a version of this.

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  • Other versions2 projects use a version of this.

    Word for word · 0

    None found.

    Edited · 0

    None found.

    Wrote their own version · 2

    1. haythamasalama/skills★ 0same name
    2. velandia3110/claude-skills★ 0same name

    How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.

  • In this repository4 other files it gives its agents.

The file

We split this skill into the rules it gives an agent

3 rules. About 0 are common, 1 is distinctive, and 2 are 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.

  • 2

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Check system({ action: "version" }) before relying on optional capability flags.

    line 42
  2. Distinctive:

    After recipe create, deploy with the workflow above.

    line 58
  3. Very specific:

    Use reveal: true only when the human opts in to sensitive log or env content.

    line 63

≈ “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.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Coolify Deploy

Install this skill pack (Cursor, Claude Code, Codex):

npx skills add clezcoding/awesome-coolify -a cursor -a claude-code -a codex

MCP prompt analog: deploy (src/mcp/prompts.ts)

Related skills: coolify-setup · coolify-diagnose · coolify-incident

Deploy workflow

  1. Resolve UUID — from args, .coolify/manifest.json, or ask the user.
  2. Trigger deployment — capture deployment_uuid with wait: false:

    application({ action: "deploy", uuid: "<uuid>", wait: false })
  3. Monitor with bounded watch — primary path (not wait: true):

    deployment({ action: "watch", deployment_uuid: "<deployment_uuid>", timeout: 300 })
  4. On COOLIFY_WATCH_TIMEOUT — re-call deployment.watch with the same deployment_uuid. Raise timeout if builds are slow (max 1800s).
  5. On failed or cancelled-by-user — surface the error and logs hint; do not treat as success.

Legacy: application.deploy wait:true is back-compat only. Prefer deployment.watch for bounded polling with backoff.

Logs and capabilities

Check system({ action: "version" }) before relying on optional capability flags.

  • Fetch build/deployment output with deployment.logs: deployment({ action: "logs", deployment_uuid: "<deployment_uuid>" }).
  • Fetch or follow application runtime output with application.logs: application({ action: "logs", uuid: "<uuid>", follow: true }).
  • Coolify 4.1.x has no service/database log endpoints.

Recipe shortcuts

Greenfield provisioning uses the recipe tool (recipeActionsCatalog):

  • create-git-app(server_uuid, git_repository, git_branch, repo_path?, build_pack?)
  • create-app-db(server_uuid, app_name, db_name, db_engine, env_key?)
  • create-one-click(server_uuid, type, instant_deploy?)

After recipe create, deploy with the workflow above.

Safety

  • confirm gates — confirm before force deploy or destructive lifecycle actions when the user did not explicitly request them.
  • Use reveal: true only when the human opts in to sensitive log or env content.

Example calls

application({ action: "deploy", uuid: "<uuid>", wait: false })

deployment({ action: "watch", deployment_uuid: "<deployment_uuid>", timeout: 300 })

// After COOLIFY_WATCH_TIMEOUT:
deployment({ action: "watch", deployment_uuid: "<deployment_uuid>", timeout: 600 })

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