💡 Summary
KMTools provides portable AI skills for CLI tools and development workflows, enhancing productivity across various AI assistants.
🎯 Target Audience
🤖 AI Roast: “Powerful, but the setup might scare off the impatient.”
Risk: Medium. Review: shell/CLI command execution; outbound network access (SSRF, data egress). Run with least privilege and audit before enabling in production.
KMTools
A lola module providing portable AI skills for CLI tools and development workflows.
Write your AI context once, use it everywhere—these skills work with Claude Code, Cursor, Gemini CLI, and any other AI assistant that lola supports.
Installation
# Add the module to your registry lola mod add https://github.com/seckatie/kmtools.git # Install to all assistants (user scope) lola install kmtools # Or install to a specific project lola install kmtools -s project ./my-project
Skills
| Skill | Description | |-------|-------------| | llm | Simon Willison's llm CLI for running prompts, embeddings, and structured data extraction across dozens of models | | parakeet | Audio transcription using NVIDIA's Parakeet ASR model optimized for Apple MLX | | yt-dlp | Download audio/video from thousands of websites with format selection and post-processing | | just | Command runner for project-specific tasks with recipes, .env loading, and cross-platform support | | jj-vcs | Jujutsu version control—Git-compatible with automatic rebasing and first-class conflict tracking | | piper | Local neural text-to-speech with natural sounding voices | | mermaid | Generate diagrams from code using mermaid-cli (20+ diagram types) | | jira-cli | Non-interactive Jira ticket management from the command line | | browser-tools | Minimal CDP tools for browser automation and web scraping | | gh | GitHub CLI for rulesets, releases, PRs, issues, and repository management |
Usage
Once installed, your AI assistant will automatically load these skills when working on relevant tasks. Each skill includes documentation, usage patterns, and best practices for its respective tool.
License
Pros
- Supports multiple AI assistants
- Wide range of useful skills
- Enhances productivity in development workflows
Cons
- Dependency on the lola framework
- May require additional setup for specific skills
- Limited documentation for some skills
Related Skills
buildwithclaude
A“Powerful, but the setup might scare off the impatient.”
pytorch
S“It's the Swiss Army knife of deep learning, but good luck figuring out which of the 47 installation methods is the one that won't break your system.”
agno
S“It promises to be the Kubernetes for agents, but let's see if developers have the patience to learn yet another orchestration layer.”
Disclaimer: This content is sourced from GitHub open source projects for display and rating purposes only.
Copyright belongs to the original author SecKatie.