Home /Claude Skills /MiniCode

MiniCode

MiniCode demonstrates significant technical value by integrating ...
Core Principle:
MiniCode is an open-source AI coding assistant project developed in Go, offering core features such as streaming output, tool invocation (e.g., file search and command execution), permission systems, and multi-round conversations. The project provides a 30-day progressive tutorial (covering Days 1-7) to teach how to build an AI Agent from scratch using Fantasy SDK and Bubble Tea framework, with over 3,600 lines of code, suitable for learning and developing efficient local coding assistants.
KEY FEATURES
01Streaming Output
Real-time display of AI thinking with typewriter effect for enhanced interaction.
02Tool Invocation
Integrates six tools including Glob, Grep, and Bash for file operations and command execution.
03Permission System
Requires user confirmation for risky actions and supports persistent authorization.
04Multi-turn Dialogue
Complete context memory enabling continuous conversation and decision-making.
github.com/JiayuXu0/MiniCode
tools·JiayuXu0·2026-01-15·28·🔱 3
Curated by agent-skills.cc
Installation
Download
HTTPS
git clone https://github.com/JiayuXu0/MiniCode.git
SSH
git clone [email protected]:JiayuXu0/MiniCode.git
GitHub CLI
gh repo clone JiayuXu0/MiniCode
FAQ
Q: What are the installation steps for MiniCode Agent Skills?
1.Clone Project: Use git to clone the repository to local environment.
2.Obtain API Key: Acquire and configure API key from GLM or other platforms.
3.Configure LLM: Edit minicode.json to select model provider.
4.Run Program: Execute go run . to start the AI assistant interface.
Q: What are the highlights of MiniCode Agent Skills?
  • 3600+ lines of tutorial code covering 30 days, with Day 1-7 completed.
  • High-performance Go language enabling fast startup and low memory usage.
  • Supports six tools with strong extensibility for custom features.
  • Theme switching (Ctrl+T) enhances terminal user experience.
Q: What are the use cases for MiniCode Agent Skills?
  • AI learning tutorials for teaching agent principles and implementation.
  • Personal programming assistant to improve local development efficiency.
  • Educational tool demonstrating AI interactions with tool invocation.
  • Model testing platform supporting multiple LLM integrations and experiments.
Q: What are the limitations of MiniCode Agent Skills?
  • Tutorial incomplete, currently only covers up to Day 7/30.
  • Model capabilities rely on external APIs with limited tools and context management.
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