Developer Creates Practical Claude Skills for Kotlin Multiplatform Projects
A developer has created a public repository of Claude skills specifically for Kotlin Multiplatform (KMP) development after finding existing skills inadequate for practical work.
Why This Repository Exists
The developer was setting up Claude Code for a KMP project and noticed most existing skills fell into three problematic categories:
- Too generic
- Too opinionated around one specific stack
- Too thin to be really useful
What's Included
The repository focuses on practical aspects of KMP development that developers actually need help with:
- Architecture reviews
- Feature implementation
- Modularization
- Compose Multiplatform UI
- Navigation
- Platform bridges
- Deep links
- Adaptive UI
- Testing
- Build governance
Development Approach
The skills are based as much as possible on the official Android and Kotlin Multiplatform documentation, ensuring alignment with recommended practices.
Repository Details
The repository is publicly available at https://github.com/mmiani/kotlin-kmp-agent-skills. The developer invites others using Claude Code with KMP to use it or "tear it apart" for improvement.
📖 Read the full source: r/ClaudeAI
👀 See Also
Tacit: An LLM-First Programming Language Built with Claude Code and Opus 4.7
Tacit is an experimental LLM-first programming language designed and implemented using Claude Code and Opus 4.7. It strips away human conveniences to minimize token usage and ships with a primer that teaches mid-tier+ LLMs (Sonnet and above) how to write Tacit code.
altRAG: Replace Vector DB RAG with 2KB Pointer Files for AI Coding Agents
altRAG is a Python tool that replaces vector database RAG with lightweight pointer files. It scans Markdown/YAML skill files to create a 2KB skeleton file mapping sections to exact line numbers and byte offsets, allowing AI agents to read only needed sections instead of entire files.
Skales: Desktop AI Agent with Ollama Support, 300MB Idle RAM
Skales is a native Electron desktop app that provides an autonomous AI agent with .exe/.dmg installers, works with Ollama for local inference or cloud providers, and uses ~300MB idle RAM with data stored locally in ~/.skales-data.
Bifrost LLM Gateway: 11 Microsecond Overhead, Single Binary in Go
Bifrost is an open-source LLM proxy written in Go that routes requests to OpenAI, Anthropic, Azure, and Bedrock with 11 microsecond overhead per request, handling 5,000 RPS on a $20/month VPS.