Cli Design
CheckedGenerates command-line interface designs, including layouts, prompts, and argument suggestions, based on project descriptions.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add joelhooks/joelclaw --skill cli-design -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
joelhooks
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned joelhooks/joelclaw at acb5544732.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- acb5544732
- Manifest
- skills/cli-design/SKILL.md
- Scanned
- 2 files, 411 lines
About this skill
What it does
This skill, Cli Design, generates designs for command-line interfaces (CLIs). It focuses on creating CLIs that are primarily intended to be used by AI agents rather than humans directly. All commands return structured JSON data, which the agent can parse and act upon; humans can optionally use tools like jq to interpret this output. The design emphasizes providing clear "next actions" in each response via a next_actions array, guiding the agent's subsequent steps.
When to use it
- When designing CLIs for automated workflows driven by AI agents.
- For systems where structured data and programmatic control are more important than human readability.
- To create interfaces that provide clear guidance on what actions an agent should take next.
- In situations where a consistent, machine-parseable output format is required.
Key capabilities
- JSON Output: All commands return data in JSON format, with no plain text or tables.
- HATEOAS (Hypermedia as the Engine of Application State): Responses include
next_actions– command templates that guide agent behavior. - Contextual Next Actions: The suggested actions are tailored to the current state and result of a command.
- POSIX/docopt Placeholder Syntax: Templates use standard placeholder syntax for required arguments (
<placeholder>), optional flags with values ([--flag <value>]), and boolean flags ([--flag]).
Example prompts
- "Generate a CLI design for managing video downloads, including status checks and log viewing."
- "Design a command to send a pipeline event and provide suggestions for checking its run status and viewing logs."
- "Create a CLI that returns the system health in JSON format with suggested next actions."
Tips & gotchas
- The skill is designed for agent-first CLIs; human readability is secondary.
- All output will be in JSON format, regardless of the request.
- Pay attention to the
next_actionsarray as it dictates the flow of automated tasks.