wp931120Community·13 Agent Skills Included

tiny_agent

Minimal agent framework with memory, tools, and skills

Implements a complete working agent in about 700 lines of Python with streaming chat, tool calling, and long-term memory. Loads plug-in skills from simple Markdown files without configuration or heavy framework dependencies. Includes ready-made skills for data analysis, browser automation, presentations, and Hugging Face model training and publishing.

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npx skills add wp931120/tiny_agent --all -g -y

All Skills in This Repository (13)

Pure Emerald Level Indicators

📦 In Repo

wp931120

hugging-face-tool-builder

Build reusable CLI tools for fetching and processing Hugging Face API data.

planning-with-files

Persist planning artifacts to task_plan.md, findings.md, and progress.md files.

hugging-face-evaluation

Extract evaluation tables from READMEs and generate model-index YAML for Hugging Face.

memory

Manage long-term facts and short-term context with MEMORY.md and HISTORY.md files.

skill-creator

Create a new skill directory and quickly bootstrap reusable components with scaffolder.

hugging-face-trackio

Log and visualize ML training metrics with Python and CLI tools.

data-analysis

Analyze CSV, Excel, JSON, and SQL datasets to generate profiles, statistics, visuals, and an HTML report.

hugging-face-jobs

Run GPU or CPU workloads on Hugging Face Jobs with secure token handling.

frontend-slides

Generate zero-dependency HTML slide decks from scratch or PowerPoint files.

hugging-face-paper-publisher

Index arXiv papers and publish metadata on Hugging Face Hub.

hugging-face-model-trainer

Train or finetune language models with TRL on Hugging Face Jobs.

browser-use

Automate browser interactions and web workflows via the browser-use CLI.

Community

Advanced

Frequently Asked Questions

FAQPage Schema

How to install tiny_agent?▼

Run `npx skills add wp931120/tiny_agent --all -g -y` in your terminal to install all skills in this suite globally.

What is TinyAgent used for?▼

It is a minimal, readable agent implementation that shows how streaming chat, tool calling, memory, and skill plugins work together in under 700 lines of Python.

Which models does TinyAgent support?▼

It works with any OpenAI-compatible API, including OpenAI, Qwen, DeepSeek, and Zhipu GLM, configured through a simple config.yaml file.

How do I add a new skill to TinyAgent?▼

Drop a folder containing a SKILL.md file into the workspace/skills directory and it loads automatically with no extra configuration.

Can beginners use TinyAgent to learn how agents work?▼

Yes. The codebase is only six core files with no inheritance or framework magic, so you can read it end to end and understand the full agent loop.