Best use case
deploy is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Prepare deployment artifacts and verify CI/CD readiness
Teams using deploy should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
$curl -o ~/.claude/skills/deploy/SKILL.md --create-dirs "https://raw.githubusercontent.com/hivellm/rulebook/main/.claude/skills/deploy/SKILL.md"
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/deploy/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How deploy Compares
| Feature / Agent | deploy | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Prepare deployment artifacts and verify CI/CD readiness
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
Prepare the project for deployment. If $ARGUMENTS is provided, focus on that specific deployment target or environment. Steps: 1. Verify the build succeeds with no errors 2. Check CI/CD pipeline configuration is valid 3. Validate environment variables and secrets are documented 4. Review Dockerfile or deployment configs if present 5. Generate a deployment checklist with any missing items
Related Skills
We are still matching the closest adjacent skills for this page. In the meantime, continue through the full directory.