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Wp Ci Cd And Release Engineering

Community
jorgerosal
wp-ci-cd-and-release-engineering

WordPress CI/CD and release engineering review guidance. Use when reviewing GitHub Actions, deployment pipelines, Composer/npm build steps, plugin/theme packaging, release automation, secrets handling, SVN deploy flows for WordPress.org, staged rollouts, rollback plans, or when user mentions CI, CD, release pipeline, GitHub Actions, deployment workflow, build artifact, plugin zip, or release engineering. Helps review build reproducibility, packaging correctness, secret boundaries, deployment safety, rollback readiness, and WordPress-specific release pitfalls.

Overview

Publisherjorgerosal
Repositorywordpress-skills
Skill namewp-ci-cd-and-release-engineering
Stars
113
Forks
13
Bundled files
3
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by jorgerosal on GitHub. Read the source before you install it.

Installation

Install the Wp Ci Cd And Release Engineering AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/jorgerosal/wordpress-skills/tree/main/claude-skills/wp-ci-cd-and-release-engineering
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/jorgerosal/wordpress-skills.git /tmp/wordpress-skills
mkdir -p .claude/skills
cp -r /tmp/wordpress-skills/claude-skills/wp-ci-cd-and-release-engineering .claude/skills/wp-ci-cd-and-release-engineering
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Wp Ci Cd And Release Engineering in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Wp Ci Cd And Release Engineering on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Wp Ci Cd And Release Engineering is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

WordPress CI/CD and Release Engineering Skill

Overview

Systematic review guidance for WordPress delivery pipelines. Core principle: releases should be reproducible, scoped to the real artifact being shipped, and explicit about which environment, credentials, and validation gates are involved before anything reaches users or production infrastructure.

When to Use

Use when:

  • Reviewing GitHub Actions or other CI/CD workflows for WordPress plugins, themes, or headless projects
  • Auditing packaging/release scripts and deploy jobs
  • Checking WordPress.org SVN deploy flows, artifact generation, or release tagging
  • Reviewing environment-secret handling for deploys, build steps, or preview environments
  • Planning staged rollout, rollback, or pre-release verification workflows

Don't use for:

  • Pure code-level plugin architecture with no pipeline/release concerns (use wp-plugin-development)
  • Static analysis setup only (use wp-phpstan-review)
  • Operational runtime maintenance tasks centered on WP-CLI (use wp-wpcli-and-ops)
  • Headless cache/revalidation architecture without deployment pipeline focus (use wp-headless-and-wpgraphql)

Code Review Workflow

  1. Identify the delivery surface

    • GitHub Actions / CI config files
    • release scripts, shell helpers, Composer/npm build commands
    • packaging steps that create plugin/theme zips
    • deployment docs, release checklists, or WordPress.org publish automation
  2. Check artifact boundaries first

    • What exact files are shipped to production or to WordPress.org?
    • Is the deploy artifact built once and promoted, or rebuilt differently per environment?
    • Are dev-only files, tests, source maps, secrets, or local config leaking into release artifacts?
  3. Review environment and secret handling

    • Are secrets limited to the jobs that actually need them?
    • Are production deploys gated by branch/tag/environment protections?
    • Do preview/staging jobs use separate credentials and destinations?
  4. Review validation and reproducibility

    • Are lint/tests/build steps executed before packaging or deploy?
    • Are dependency installs pinned/locked enough for reproducible releases?
    • Is the generated artifact validated rather than assuming the repo tree equals the shipped code?
  5. Review rollback and release operations

    • Is there a documented rollback path?
    • Can operators identify which version/artifact is live?
    • Are releases idempotent or likely to partially deploy on rerun?
  6. Classify findings

    • CRITICAL: production deploy without protections, secret exposure, artifact mismatch, unreviewed direct-to-prod release, or non-reproducible rebuilds that can ship different code from what passed CI
    • WARNING: weak gating, missing artifact validation, fragile tag/version sync, no rollback notes, deploy steps coupled to local assumptions
    • INFO: could improve caching, matrix strategy, changelog automation, or release observability

File-Type Specific Checks

GitHub Actions / CI Workflows

  • CRITICAL: deploy job runs on every push to an unprotected branch
  • CRITICAL: secrets echoed, written to artifacts, or exposed to unnecessary jobs
  • WARNING: build/test/package/deploy concerns collapsed into one opaque job
  • WARNING: workflow uses floating tools/actions carelessly on security-sensitive paths
  • INFO: could split verification, packaging, and release into clearer stages

Packaging and Build Scripts

  • CRITICAL: release zip built from a dirty working tree or from files different from the reviewed commit
  • WARNING: node_modules, tests, screenshots, or local config included unintentionally
  • WARNING: Composer/npm install mode differs between CI validation and release packaging in a way that changes the artifact
  • INFO: could add explicit artifact inspection or checksum reporting

WordPress.org / SVN Release Flows

  • CRITICAL: tag and stable-tag drift can publish the wrong version
  • WARNING: deploy script assumes local SVN state or manual copy steps without verification
  • WARNING: readme/version metadata not validated before publish
  • INFO: could document dry-run or preflight checks before SVN push

Environment Promotion and Rollback

  • CRITICAL: same credentials or target used for staging and production without clear guardrails
  • WARNING: no rollback script/runbook or no artifact retention
  • WARNING: production health verification absent after deploy
  • INFO: could surface release IDs, git SHAs, or artifact names in notifications/logs

Search Patterns for Quick Detection (RELEASE-21)

Use these rg commands to locate pipeline and release logic quickly.

Workflow Discovery

bash
rg -n "name:|on:|jobs:" .github/workflows -g '*.yml'
rg -n "deploy|release|publish|svn|wp.org|artifact|zip" . -g '*.{yml,yaml,sh,js,ts,json,md}'

Secret and Environment Risk

bash
rg -n "secrets\.|GITHUB_TOKEN|SVN_PASSWORD|SSH_PRIVATE_KEY|rsync|scp|ssh " . -g '*.{yml,yaml,sh,js,ts,md}'
rg -n "environment:|production|staging|preview|workflow_dispatch|tags:" .github/workflows -g '*.yml'

Packaging and Versioning

bash
rg -n "zip |tar |composer install|npm ci|npm run build|svn cp|svn commit|Stable tag|Version:" . -g '*.{yml,yaml,sh,php,txt,md,json}'
rg -n "readme.txt|plugin.php|style.css|package.json|composer.lock|package-lock.json|pnpm-lock.yaml|yarn.lock" . -g '*'

Reference Files

  • references/github-actions-and-gating.md - workflow structure, deploy protections, environment boundaries, and action hygiene
  • references/packaging-and-artifacts.md - plugin/theme artifact design, build outputs, excludes, and verification
  • references/wordpress-org-and-rollbacks.md - WordPress.org SVN release patterns, stable tag/version sync, rollback thinking, and post-deploy checks

Output Format (RELEASE-23)

For each finding include:

  1. Severity: CRITICAL, WARNING, or INFO
  2. File and line number
  3. CI/CD or release risk summary
  4. Why it matters for shipped artifacts, deploy safety, or operator confidence
  5. Recommended safer pattern

If no issues are found, say so clearly and mention any residual gaps such as missing rollback notes, weak artifact inspection, or unclear environment promotion rules.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Wp Ci Cd And Release Engineering AI skill do?

WordPress CI/CD and release engineering review guidance. Use when reviewing GitHub Actions, deployment pipelines, Composer/npm build steps, plugin/theme packaging, release automation, secrets handling, SVN deploy flows for WordPress.org, staged rollouts, rollback plans, or when user mentions CI, CD, release pipeline, GitHub Actions, deployment workflow, build artifact, plugin zip, or release engineering. Helps review build reproducibility, packaging correctness, secret boundaries, deployment safety, rollback readiness, and WordPress-specific release pitfalls.

Why use Wp Ci Cd And Release Engineering on TypingMind?

Because you install it once and use it with any model. Wp Ci Cd And Release Engineering is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Wp Ci Cd And Release Engineering in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jorgerosal/wordpress-skills/tree/main/claude-skills/wp-ci-cd-and-release-engineering. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Wp Ci Cd And Release Engineering?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Wp Ci Cd And Release Engineering?

As many as you like. As long as a model supports skills, you can use Wp Ci Cd And Release Engineering with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Wp Ci Cd And Release Engineering AI skill free?

Yes. It is published on GitHub by jorgerosal under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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