#601

Global Rank · of 601 Skills

writing-cli-skills AI Agent Skill

View Source: cachemoney/agent-toolkit

Safe

Installation

npx skills add cachemoney/agent-toolkit --skill writing-cli-skills

6

Installs

Writing CLI Skills

How to write an agent skill for a command-line tool.

Quick Start

  1. Install the tool and play with it — don't just read docs. If the tool is unavailable, use WebFetch on official docs + man pages, but note this in your skill as "not hands-on verified"
  2. Run --help on every subcommand
  3. Try the common operations yourself
  4. Note what surprises you or isn't obvious
  5. Copy references/template.md to your new skill directory
  6. Fill in sections based on your hands-on experience
  7. Delete sections that don't apply
# First: actually use the tool
my-tool --help
my-tool subcommand --help
my-tool do-something  # try it!

# Then: create the skill
# This will depend on the tool

# Claude Code
ln -s "$PWD/skills/my-tool" ~/.claude/skills/my-tool

# OpenCode
ln -s "$PWD/skills/my-tool" ~/.config/opencode/skills/my-tool

# Clawdbot
ln -s "$PWD/skills/my-tool" ~/clawd/skills/my-tool

Reading docs is no substitute for hands-on use. You'll discover defaults, gotchas, and real behavior that docs don't mention.

What NOT to Do

  • Do not dump --help output verbatim — summarize the useful parts
  • Do not document every flag — focus on the 80% use cases
  • Do not include commands you haven't tested
  • Do not exceed 500 lines — this bloats agent context windows

Sections

Required

Every CLI skill needs at minimum:

Section Purpose
Frontmatter name, description (with trigger phrases)
Installation How to get the binary
Usage The 80% use cases

Recommended

Section When to Include
Requirements Tool needs accounts, API keys, or dependencies
Quick Start Tool has a simple "happy path"
Output Formats Tool can output JSON or custom formats
Tips & Gotchas Tool has some edge cases or things an agentic LLM should not use
Troubleshooting Tool has debug modes or common failure modes
Configuration Tool has config files or env vars
Uninstall Tool leaves config/data behind
References When there are useful docs or content that contains more details

Writing Good Descriptions

Include trigger phrases so the agent knows when to load the skill:

# Good
description: Monitor RSS feeds for updates. Use when tracking blogs, checking for new posts, or building a feed reader workflow.

# Bad  
description: RSS tool.

Organizing Commands

Group by task, not by command name:

## Usage

### View / List
### Create / Add  
### Edit / Update
### Delete / Remove
### Search

Progressive Disclosure

Keep SKILL.md under ~500 lines. Move details to references/:

my-tool/
├── SKILL.md                    # Core usage
├── references/
│   ├── advanced-config.md      # Deep config docs
│   └── api-reference.md        # API details
└── scripts/
    └── helper.sh               # Helper scripts

Frontmatter Reference

---
name: tool-name                  # Required, matches directory
description: What + when         # Required, include triggers
---

Checklist

Before publishing a CLI skill:

  • Frontmatter has name + description with trigger phrases
  • Installation covers target platforms
  • Includes verification command (tool --version)
  • Config file locations documented
  • Required env vars listed
  • Common operations in usage cover 80% of use cases
  • Examples show realistic usage with sample output
  • Output formats documented (if tool supports JSON/etc)
  • Troubleshooting includes debug mode
  • Uninstall cleans up config and data
  • Under 500 lines (details in references/)

Template

See references/template.md for a complete starting point.

Installs

Installs 6
Global Rank #601 of 601

Security Audit

ath Safe
socket Safe
Alerts: 0 Score: 90
snyk Low

How to use this skill

1

Install writing-cli-skills by running npx skills add cachemoney/agent-toolkit --skill writing-cli-skills in your project directory. Run the install command above in your project directory. The skill file will be downloaded from GitHub and placed in your project.

2

No configuration needed. Your AI agent (Claude Code, Cursor, Windsurf, etc.) automatically detects installed skills and uses them as context when generating code.

3

The skill enhances your agent's understanding of writing-cli-skills, helping it follow established patterns, avoid common mistakes, and produce production-ready output.

What you get

Skills are plain-text instruction files — not executable code. They encode expert knowledge about frameworks, languages, or tools that your AI agent reads to improve its output. This means zero runtime overhead, no dependency conflicts, and full transparency: you can read and review every instruction before installing.

Compatibility

This skill works with any AI coding agent that supports the skills.sh format, including Claude Code (Anthropic), Cursor, Windsurf, Cline, Aider, and other tools that read project-level context files. Skills are framework-agnostic at the transport level — the content inside determines which language or framework it applies to.

Data sourced from the skills.sh registry and GitHub. Install counts and security audits are updated regularly.

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