by arkylab · Claude Skill · ★ 101
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aspm - AI Skill Package Manager A Git-based package manager designed for AI-assisted development, similar to npm but supporting skills, agents, commands, hooks, and any AI resource types. Features 📦 Two Project Modes: Publish project () and consumer project () 🔗 Distributed Dependency Management: Reference packages directly via Git URL, no central registry needed 🏷️ Flexible Version Control: Support for Git tag/branch/commit 📥 Simplified Version Rules: Auto-selects the maximum version satisfying all dependencies 🔧 Universal Design: Not limited to skills, supports any AI resource type 🔌 Multi-Format Support: Install both aspm packages and Claude Code plugin repositories 🎯 Three Install Modes: Plain, Claude, and Compatible modes for different AI tool directory structures Installation Quick Install Linux / macOS: Windows (PowerShell): Build from Source The compiled binary will be at (or on Windows). Quick Start Creating a Consumer Project (If you are a skill consumer) bash Initialize a consumer project aspm init --consumer This creates aspkg.
| Stars | 101 |
| Forks | 8 |
| Language | Rust |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 55.796/100 |
| Last Updated | 2026-05-02 |
| Created | 2026-03-05 |
| Platforms | claude-code, rust |
| Est. Tokens | ~13k |
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aspm is A Git-based package manager designed for AI-assisted development, similar to npm but supporting skills, agents, commands, hooks, and any AI resource types.. It is categorized as a Claude Skill with 101 GitHub stars.
aspm is primarily written in Rust. It covers topics such as ai-skill, claude, claude-code.
You can find installation instructions and usage details in the aspm GitHub repository at github.com/arkylab/aspm. The project has 101 stars and 8 forks, indicating an active community.
aspm is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to aspm on Agent Skills Hub include obsidian-second-brain, Mck-ppt-design-skill, trace-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.