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Cli For Agents

cursor/plugins
172 installs2.1k stars

>-

Install to Claude Code

npx -y skills add cursor/plugins --skill cli-for-agents --agent claude-code

Installs into .claude/skills of the current project.

CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
Keep your Mac awake
Keep your Mac awake
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →
Context.devContext.dev
Context.dev
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
Make your agent a DeFi expert
Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Make money from your Skills
Make money from your Skills
On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →
AppSignal
AppSignal
Monitor with ease. Code with confidence.
Start Free Trial →
CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
Keep your Mac awake
Keep your Mac awake
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →
Context.devContext.dev
Context.dev
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
Make your agent a DeFi expert
Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Make money from your Skills
Make money from your Skills
On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →
AppSignal
AppSignal
Monitor with ease. Code with confidence.
Start Free Trial →
Files
SKILL.mdView on GitHub

CLI for agents

Human-oriented CLIs often block agents: interactive prompts, huge upfront docs, and help text without copy-pasteable examples. Prefer patterns that work headlessly and compose in pipelines.

Non-interactive first

  • Every input should be expressible as a flag or flag value. Do not require arrow keys, menus, or timed prompts.
  • If flags are missing, then fall back to interactive mode—not the other way around.

Bad: mycli deploy → ? Which environment? (use arrow keys)
Good: mycli deploy --env staging

Discoverability without dumping context

  • Agents discover subcommands incrementally: mycli, then mycli deploy --help. Do not print the entire manual on every run.
  • Let each subcommand own its documentation so unused commands stay out of context.

--help that works

  • Every subcommand has --help.
  • Every --help includes Examples with real invocations. Examples do more than prose for pattern-matching.
Options:
  --env     Target environment (staging, production)
  --tag     Image tag (default: latest)
  --force   Skip confirmation

Examples:
  mycli deploy --env staging
  mycli deploy --env production --tag v1.2.3
  mycli deploy --env staging --force

stdin, flags, and pipelines

  • Accept stdin where it makes sense (e.g. cat config.json | mycli config import --stdin).
  • Avoid odd positional ordering and avoid falling back to interactive prompts for missing values.
  • Support chaining: mycli deploy --env staging --tag $(mycli build --output tag-only).

Fail fast with actionable errors

  • On missing required flags: exit immediately with a clear message and a correct example invocation, not a hang.
Error: No image tag specified.
  mycli deploy --env staging --tag <image-tag>
  Available tags: mycli build list --output tags

Idempotency

  • Agents retry often. The same successful command run twice should be safe (no-op or explicit "already done"), not duplicate side effects.

Destructive actions

  • Add --dry-run (or equivalent) so agents can preview plans before committing.
  • Offer --yes / --force to skip confirmations while keeping the safe default for humans.

Predictable structure

  • Use a consistent pattern everywhere, e.g. resource + verb: if mycli service list exists, mycli deploy list and mycli config list should follow the same shape.

Success output

  • On success, return machine-useful data: IDs, URLs, durations. Plain text is fine; avoid relying on decorative output alone.
deployed v1.2.3 to staging
url: https://staging.myapp.com
deploy_id: dep_abc123
duration: 34s

When reviewing an existing CLI

  • Check: non-interactive path, layered help, examples on --help, stdin/pipeline story, error messages with invocations, idempotency, dry-run, confirmation bypass flags, consistent command structure, structured success output.
Featured
CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
Keep your Mac awake
Keep your Mac awake
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →
Context.devContext.dev
Context.dev
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
Make your agent a DeFi expert
Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Make money from your Skills
Make money from your Skills
On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →
AppSignal
AppSignal
Monitor with ease. Code with confidence.
Start Free Trial →
Categories
CLI & Terminal
First SeenJun 23, 2026
View on GitHub

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