Installation

1. 1
   Make sure Claude is on your device and in your terminal.

   Skills load from ~/.claude/skills/ when Claude Code starts up — so you need it on your machine first. If you don't have it yet, install it once with the command below, then run claude in any terminal to verify.

   One-time setup

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   npm i -g @anthropic-ai/claude-code

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2. 2
   Paste into Claude Code or into your terminal.

   Install

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   git clone ht••••••••••••••••••••••••••••••••••••••••• •••••••••••••••••••••••••• •• ••••• •• ••••••••••••••••••••••••••••••••••••••••••• •• •• •• ••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••• ••••••••••••••••••••••••••••••••••••••••••••

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   This copies the whole skill folder into ~/.claude/skills/library-management-th0rgal/ — the SKILL.md plus any scripts, reference docs, or templates the skill ships with. Safe default: works for every skill.

   Faster alternative (instruction-only skills)

   Skips the clone and grabs only the SKILL.md file. Don't use this if the skill ships Python scripts, reference markdowns, or asset templates — they won't be downloaded and the skill will fail when it tries to load them.

   Quick install (SKILL.md only)

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   mkdir -p ~/.•••••••••••••••••••••••••••••••••••••••• •• •••• ••••• ••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••• •• ••••••••••••••••••••••••••••••••••••••••••••••••••••

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3. 3
   Restart Claude Code.

   Quit and reopen Claude Code (or any other agent that loads from ~/.claude/skills/). New skills are picked up on startup.

4. 4
   Just ask Claude.

   Skills auto-activate when your request matches the skill's description — no slash command needed. Trigger phrases live in the skill's own frontmatter; you can read them in the “What this skill does” section above.

Prefer to read the source first? Open on GitHub.

When Claude uses it

Manage the Sandboxed.sh library (skills, agents, commands, tools, rules, MCPs) via Library API tools. Trigger terms: library, skill, agent, command, tool, rule, MCP, save skill, create skill.

What this skill does

---
name: skill-name
description: What this skill does
---
Instructions for using this skill...

---
description: Agent description
mode: primary | subagent
model: provider/model-id
hidden: true | false
color: "#44BA81"
tools:
  "*": false
  "read": true
  "write": true
permission:
  edit: ask | allow | deny
  bash:
    "*": ask
rules:
  - rule-name
---
Agent system prompt...

---
description: Command description
model: provider/model-id
subtask: true | false
agent: agent-name
---
Command prompt template. Use $ARGUMENTS for user input.

import { tool } from "@opencode-ai/plugin"

export const my_tool = tool({
  description: "What it does",
  args: { param: tool.schema.string().describe("Param description") },
  async execute(args) {
    return "result"
  },
})

---
description: Rule description
---
Rule instructions applied to agents referencing this rule.

{
  "server-name": {
    "type": "local",
    "command": ["npx", "package-name"],
    "env": { "KEY": "value" },
    "enabled": true
  },
  "remote-server": {
    "type": "remote",
    "url": "https://mcp.example.com",
    "headers": { "Authorization": "Bearer token" },
    "enabled": true
  }
}