Ls

Community

tashfeenahmed

List files and directories in the workspace

Overview

Publisher	tashfeenahmed
Repository	`scallopbot`
Skill name	`ls`
Stars	56
Forks	9
Bundled files	2
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
2 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by tashfeenahmed on GitHub. Read the source before you install it.

Installation

Install the Ls AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/tashfeenahmed/scallopbot/tree/main/src/skills/bundled/ls
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/tashfeenahmed/scallopbot.git /tmp/scallopbot
mkdir -p .claude/skills
cp -r /tmp/scallopbot/src/skills/bundled/ls .claude/skills/ls

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ls in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Ls on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Ls is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

List Directory Skill

List files and directories in the workspace.

When to Use

Use the ls skill for:

Exploring directories: See what files exist in a folder
Understanding project structure: Get an overview of files and folders
Checking for files: Verify if a file or directory exists

Input Format

json
{
  "path": "src",
  "all": false,
  "long": true
}

Parameters

Parameter	Type	Required	Default	Description
`path`	string	No	`.`	Directory to list (relative to workspace)
`all`	boolean	No	false	Include hidden files
`long`	boolean	No	false	Show size, type, and modification time

Output Format

json
{
  "success": true,
  "output": "src/\npackage.json\ntsconfig.json",
  "exitCode": 0
}

Limitations

Maximum 500 entries returned
Paths validated to stay within workspace boundaries

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

scripts/run.test.ts5 KB
scripts/run.ts5 KB

Frequently asked questions

What does the Ls AI skill do?

List files and directories in the workspace

Why use Ls on TypingMind?

Because you install it once and use it with any model. Ls is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Ls in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/tashfeenahmed/scallopbot/tree/main/src/skills/bundled/ls. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Ls?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Ls?

As many as you like. As long as a model supports skills, you can use Ls with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Ls AI skill free?

Yes. It is published on GitHub by tashfeenahmed under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Openclaw Changelog Update

openclaw

OrganizationPopular

Regenerate OpenClaw release changelog sections from git history before beta, stable, or extended-stable releases.

Openclaw Ci Limits

Manage OpenClaw GitHub Actions and Blacksmith CI capacity, runner-registration budgets, fanout caps, main-push single-flight, shard sizing, hosted-runner offload, queue health, and safe…

Openclaw Debugging

Debug OpenClaw model, provider, tool-surface, code-mode, streaming, and live/Crabbox behavior by choosing the right logs, probes, and proof path before changing code, including fetching stored…

Openclaw Docker E2e Authoring

openclaw

OrganizationPopular

Author OpenClaw Docker E2E and live provider Docker lanes.

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

List Directory Skill

When to Use

Input Format

Parameters

Output Format

Limitations

Bundled files

Frequently asked questions

Related AI Skills

Set up your own AI workspace now