Agent skill

cli-for-agents

Designs or reviews CLIs so coding agents can run them reliably: non-interactive flags, layered --help with examples, stdin/pipelines, fast actionable errors, idempotency, dry-run, and predictable structure. Use when building a CLI, adding commands, writing --help, or when the user mentions agents, terminals, or automation-friendly CLIs.

Stars 26
Forks 4

Install this agent skill to your Project

npx add-skill https://github.com/ReinaMacCredy/maestro/tree/main/.claude/skills/cli-for-agent

SKILL.md

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.
text
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.
text
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.
text
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.

Expand your agent's capabilities with these related and highly-rated skills.

ReinaMacCredy/maestro

maestro-skill-author

Create, update, or debug maestro built-in skills. Covers SKILL.md frontmatter, reference directory structure, step-file architecture, build-time embedding, naming conventions, alias management, and registry validation. Use when creating a new maestro built-in skill, modifying an existing SKILL.md, adding reference files, debugging skill loading failures, updating the skills registry, or working on the skills full port. Also use when frontmatter validation fails, skills don't appear in skill-list, or reference files fail to load.

26 4
Explore
ReinaMacCredy/maestro

maestro:brainstorming

Use before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.

26 4
Explore
ReinaMacCredy/maestro

mcp-builder

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

26 4
Explore
ReinaMacCredy/maestro

maestro:plan-review-loop

Deep-review any plan (maestro, Codex, Claude Code plan mode, or plain markdown) using iterative subagent review loops with BMAD-inspired adversarial edge-case discovery. Spawns reviewer subagents that find issues using pre-mortem, inversion, and red-team techniques, auto-fixes them with structured fix strategies, and re-reviews until the plan passes with zero actionable issues. Use when the user says 'review the plan', 'deep review', 'check the plan thoroughly', 'review loop', 'validate before approving', or wants rigorous plan validation before execution. Also use proactively before plan-approve when the plan is complex or high-risk.

26 4
Explore
ReinaMacCredy/maestro

maestro:research

Structured research workflow for maestro features. Guides tool selection across three tiers (codebase exploration, Context7 for library docs, NotebookLM for deep analysis), defines research patterns, finding organization via memory_write, and completion criteria. Use during the research pipeline stage after feature_create and before plan_write. Also use when investigating a problem space, comparing technical approaches, gathering context on unfamiliar code, or needing to understand external library APIs before making architectural decisions.

26 4
Explore
ReinaMacCredy/maestro

prompt-leverage

Strengthen a raw user prompt into an execution-ready instruction set for Amp, Claude Code, Codex, or another AI agent. Use when the user wants to improve an existing prompt, build a reusable prompting framework, wrap the current request with better structure, add clearer tool rules, or create a hook that upgrades prompts before execution.

26 4
Explore

Didn't find tool you were looking for?

Be as detailed as possible for better results