agentleFS
ack-solutionsack-solutions/claude-code-ai-skills/skills/release-engineering/SKILL.md

release-engineering

Skill1 starsChanged 44 days agoMITView on GitHub

Prepare CI/CD, environments, deployment, observability, backups, recovery, or release readiness. Use for delivery infrastructure changes and operational release checks for web, API, or mobile applications.

8 other projects use a version of this.

Adopted by

Most recently taken up by

The file

We split this skill into the rules it gives an agent

2 rules. 0 are common, 2 are distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 7 edited versions we read keep these.

  • 2

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Use the runbook outline only where a new or changed procedure needs documenting.

    line 27
  2. Distinctive:

    Run applicable configuration/build checks and authorized environment smoke tests.

    line 31

“Common” is measured: kept by at least 6 in 10 of the 7 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

Release engineering

Make the requested delivery process reproducible and observable, with a practical recovery path. Discover the project's actual hosting and release tools; do not assume a cloud provider or introduce infrastructure solely because it is available.

Identify the operation

Distinguish a readiness review, local configuration change, staging deployment or production release. Read relevant runbooks, manifests, CI, environment schema and migration policy. Resolve the target artifact/version and environment from evidence. Respect existing deployment authorization without adding repeated approval gates.

For a review, produce evidence and gaps. For requested setup, implement the configuration and verify it locally or in the authorized environment. Live deployment, store submission, DNS changes, purchases and destructive data operations must be within the user's requested scope.

Build the delivery path

  • Reproducible dependencies, build commands, artifact identification and environment-specific public/secret configuration.
  • Relevant quality gates with disposable test data. Preserve product/design acceptance coverage instead of treating successful compilation as acceptance.
  • Least-necessary CI/runtime access and deliberate secret handling. Do not print secrets or embed them in client assets.
  • Schema/application rollout order and compatibility, with backfill and rollback/forward-fix decisions when applicable.
  • Health/readiness checks, graceful termination, dependency failure behaviour and background-worker lifecycle relevant to the app.
  • Useful logs, metrics, error reporting and alerts tied to operations and ownership. Keep sensitive data out of telemetry.
  • Backup policy and restore verification. A configured backup is not evidence that recovery works.
  • Web/API smoke checks or mobile signing, versioning, distribution and staged rollout checks appropriate to the requested target.

Use the runbook outline only where a new or changed procedure needs documenting.

Verify and finish

Run applicable configuration/build checks and authorized environment smoke tests. Verify migrations and recovery in a safe environment where possible. Report checks that could not run and specific prerequisites such as absent accounts, signing material or chosen hosting.

Use the project's release record or this compact report: target/environment; artifact/version; checks actually run and evidence; gaps and owners; rollout/recovery steps; authorization and actual deployment state. Adapt to review versus implementation rather than filling every section for a small configuration edit. After an authorized deployment, verify observed health; never claim a planned deployment happened.

Download now (ZIP)

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
What did you use it for? e.g. Reviewing pull requests in a Rails app

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.