cli2skill
Turn any CLI or MCP server into an Agent Skill. Use when you want to replace an MCP server with a zero-overhead CLI skill, or generate a skill from any command-line tool's --help output.
Best use case
cli2skill is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Turn any CLI or MCP server into an Agent Skill. Use when you want to replace an MCP server with a zero-overhead CLI skill, or generate a skill from any command-line tool's --help output.
Teams using cli2skill 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
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/cli2skill/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How cli2skill Compares
| Feature / Agent | cli2skill | 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?
Turn any CLI or MCP server into an Agent Skill. Use when you want to replace an MCP server with a zero-overhead CLI skill, or generate a skill from any command-line tool's --help output.
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.
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SKILL.md Source
# cli2skill Convert CLI tools and MCP servers into Agent Skills (markdown files) that any AI coding agent can use. Zero runtime overhead — no persistent processes, no memory leaks. ## Prerequisites ```bash pip install cli2skill ``` ## Commands ### Generate skill from CLI ```bash # Basic — parse --help and generate SKILL.md cli2skill generate <executable> --name <skill-name> -o ~/.claude/skills/ # Custom executable path cli2skill generate "python my_tool.py" --name my-tool \ --exe-path "python /full/path/my_tool.py" -o ~/.claude/skills/ # From saved help text cli2skill generate mytool --help-file help_output.txt -o ~/.claude/skills/ # Skip subcommand parsing (faster, top-level only) cli2skill generate gh --name github-cli --no-subcommands -o ~/.claude/skills/ ``` ### Preview parsed metadata ```bash cli2skill preview <executable> ``` ### Convert MCP server to skill ```bash # From command cli2skill mcp npx some-mcp-server --name my-mcp -o ~/.claude/skills/ # From Claude Code settings.json cli2skill mcp --config ~/.claude/settings.json --server my-server --name my-mcp -o ~/.claude/skills/ # With env vars cli2skill mcp npx tavily-mcp --name tavily --env API_KEY=xxx -o ~/.claude/skills/ ``` ## When to use - You have an MCP server that's just "call -> return result" with no persistent state — replace it with a CLI skill to eliminate process leaks - You want to give your agent access to any CLI tool without writing a skill by hand - You're migrating away from MCP servers that accumulate zombie processes ## When NOT to use - MCP servers that need persistent browser sessions, streaming notifications, or multi-client shared state — those genuinely need MCP
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