agentleFS
prinxprinx/agents/skills/deploy/SKILL.md

deploy

Skill0 starsChanged 4 months agoMITView on GitHub

Use only for a human-requested deployment after QA PASS and review APPROVE have been recorded.

155 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use pm-discovery, qa-phase and 10 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • ww-w-aiSkill

    pm-discovery

    PM Agent Team - Automated product discovery, strategy, and PRD generation. Runs PM analysis workflow to produce comprehensive PRD before PDCA Plan phase.

    Also in 3 projects that use this

  • ww-w-aiSkill

    qa-phase

    Run QA tests at various levels (L1-L5) for features under PDCA management. Integrates with MCP tools to execute structured test plans.

    Also in 3 projects that use this

  • +10 more from ww-w-ai

The file

We split this skill into the rules it gives an agent

10 rules. 0 are common, 7 are distinctive, and 3 are very specific to this project.

  • 0

    Common

    Most of the 139 edited versions we read keep these.

  • 7

    Distinctive

    This author's own choices. Worth a look.

  • 3

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Before anything else, confirm all three:

    line 12
  2. Distinctive:

    If any is missing, stop and tell the user what is missing.

    line 18
  3. Very specific:

    Read .agents/skills/deploy-project/SKILL.md if it exists.

    line 22
  4. Distinctive:

    If it exists and looks correct: use it.

    line 24
  5. Very specific:

    If it does not exist: load deployment-decisions and guide the user through choosing and setting up a deployment process.

    line 25
  6. Distinctive:

    Run the project build first.

    line 29
  7. Distinctive:

    Never print, copy, log, or report tokens, passwords, or API keys.

    line 31
  8. Distinctive:

    Never deploy to production without explicit human approval.

    line 32
  9. Distinctive:

    If the deployment failed, diagnose the specific step before suggesting fixes.

    line 37
  10. Very specific:

    Ask the user if they want to set up monitoring (load monitoring skill).

    line 38

“Common” is measured: kept by at least 6 in 10 of the 139 edited versions of this file we could read. “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

Deploy

Guide the user through deploying. Do not assume they know how. Do not handle credentials directly.

Gate check

Before anything else, confirm all three:

  1. Explicit human deployment request.
  2. qa-report.md says PASS (or PASS_WITH_NOTES with the limitation noted).
  3. review.md says APPROVE.

If any is missing, stop and tell the user what is missing. Do not proceed.

Check for an existing deployment process

Read .agents/skills/deploy-project/SKILL.md if it exists. This is a project-level deployment skill saved from a previous run or set up manually.

  • If it exists and looks correct: use it. Tell the user what you are about to do and run the deployment. Report the result.
  • If it does not exist: load deployment-decisions and guide the user through choosing and setting up a deployment process.

During deployment

  • Run the project build first. Report success or failure. Do not proceed to deploy if the build fails.
  • For commands that need credentials (pushing to a remote, deploying to a service): use the project's established CLI method. Prefer gh CLI when available (already authenticated). If a service CLI is needed, ask the user to run service login first, then continue.
  • Never print, copy, log, or report tokens, passwords, or API keys.
  • Never deploy to production without explicit human approval.

After deployment

  • Report the deployment URL or confirmation evidence from the provider.
  • If the deployment failed, diagnose the specific step before suggesting fixes.
  • Ask the user if they want to set up monitoring (load monitoring skill).
  • Save the deployment process to .agents/skills/deploy-project/SKILL.md if one was created during this run, so future deployments skip the decision phase.

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