cws6206/ai-coding-starter-kit — explained in plain English
Analysis updated 2026-05-18
Find a pre-built agent skill for web scraping, security auditing, or UI design guidance to add to an AI coding assistant.
Copy a CLAUDE.md or Gemini configuration template as a starting point for a new project.
Run through the SECURITY.md checklist before installing a third-party agent skill.
Learn what precautions a team should take before letting an AI agent run shell commands or access the network.
| cws6206/ai-coding-starter-kit | chiennv2000/orthrus | paddlepaddle/interpretdl | |
|---|---|---|---|
| Stars | 261 | 261 | 261 |
| Language | — | Python | Python |
| Last pushed | — | — | 2024-09-04 |
| Maintenance | — | — | Stale |
| Setup difficulty | easy | moderate | moderate |
| Complexity | 1/5 | 4/5 | 3/5 |
| Audience | developer | developer | data |
Figures from each repo's GitHub metadata at analysis time.
It is a reference library, not software, individual linked skills have their own install commands and requirements.
This repository is a curated collection of resources aimed at developers who want to start using AI coding assistants in their daily work. The README is written in German and the project is associated with a Swiss developer blog called agentic-coding.ch. It was assembled by Dr. Rene Bader and is released under the GNU General Public License v3.0. The kit focuses on four AI coding tools: Claude Code, OpenAI Codex, Cursor, and Gemini CLI. Rather than being a piece of software itself, it acts as a reference library, pointing developers to pre-built add-ons called agent skills, along with configuration file templates and security review checklists. Each skill is a small package that extends what an AI assistant can do, for example web scraping, structured planning, UI design guidance, or automated code security audits. The skills section lists about eleven curated options, each with a brief description of what it handles and a single install command. Examples include a planning skill that helps the AI track multi-step tasks across files, a Vercel design guidelines skill for interface and accessibility work, and a Trail of Bits security audit skill that runs tools like CodeQL and Semgrep. The templates section covers ready-made configuration files for Claude, OpenAI, Gemini, and Gemma, including several focused on code review, full-stack development, and security testing scenarios. A notable part of the kit is its emphasis on caution. The README and an accompanying SECURITY.md file walk through a checklist developers should follow before installing any skill: reviewing the source, checking the license, inspecting install scripts and dependencies, and testing in an isolated environment before using it in production. The project treats AI agent skills the same way a team would treat a third-party developer tool, something to evaluate carefully rather than install blindly. The project is aimed at teams that want a structured, safety-conscious entry point into AI-assisted development workflows, covering the full cycle of planning, coding, testing, reviewing, and securing software.
A German-language curated library of AI coding agent skills, config templates, and security checklists for teams using Claude Code, Cursor, Codex, and Gemini CLI.
Setup difficulty is rated easy, with roughly 30min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
Verify against the repo before relying on details.