Get Files

CommunityPopular

CoderWanFeng

get_files

在指定路径下搜索文件并返回路径列表，支持按后缀、子目录、层级过滤。当用户提到获取文件列表、查找某类文件、列出所有文件时使用。

Overview

Publisher	CoderWanFeng
Repository	`python-office`
Skill name	`get_files`
Stars	1.4K
Forks	305
Bundled files	1
License	Apache-2.0
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.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by CoderWanFeng on GitHub. Read the source before you install it.

Installation

Install the Get Files 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.
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/CoderWanFeng/python-office.git /tmp/python-office
mkdir -p .claude/skills
cp -r /tmp/python-office/skills/file/get_files .claude/skills/get_files

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

Use it in TypingMind

Enable Get Files 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 Get Files 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 Get Files 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.

get_files Skill

搜索当前路径下所有指定类型的文件，并以列表形式返回

功能描述

在指定路径下搜索文件，支持按文件名、后缀、子目录等条件过滤，返回文件路径列表。

所属分类

office/skills/file/get_files/

调用方式

python
from skills.file import get_files

files = get_files(
    path='./data',
    name='report',
    suffix='.txt',
    sub=False,
    level=0
)

参数说明

参数	类型	必填	默认值	说明
`path`	str	是	-	路径
`name`	str	否	`''`	文件名
`suffix`	str	否	`None`	文件后缀
`sub`	bool	否	`False`	是否搜索子目录
`level`	int	否	`0`	搜索层级

返回值

list：文件路径列表

使用示例

python
from skills.file import get_files
# 获取所有 .txt 文件
txt_files = get_files(path='./docs', suffix='.txt', sub=True)
# 获取所有名为 report 的文件
reports = get_files(path='./data', name='report', sub=True)

原始函数

office.api.file.get_files

Bundled files

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

__init__.py1 KB

Frequently asked questions

What does the Get Files AI skill do?

在指定路径下搜索文件并返回路径列表，支持按后缀、子目录、层级过滤。当用户提到获取文件列表、查找某类文件、列出所有文件时使用。

Why use Get Files on TypingMind?

Because you install it once and use it with any model. Get Files 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 Get Files in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/CoderWanFeng/python-office/tree/develop/skills/file/get_files. 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 Get Files?

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 Get Files?

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

Is the Get Files AI skill free?

Yes. It is published on GitHub by CoderWanFeng under the Apache-2.0 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

Receiving Code Review

obra

CommunityPopular

Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative…

Requesting Code Review

obra

CommunityPopular

Use when completing tasks, implementing major features, or before merging to verify work meets requirements

Systematic Debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes

Test Driven Development

obra

CommunityPopular

Use when implementing any feature or bugfix, before writing implementation code

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

get_files Skill

功能描述

所属分类

调用方式

参数说明

返回值

使用示例

原始函数

Bundled files

Frequently asked questions

Related AI Skills

Set up your own AI workspace now