by fastxyz · MCP Server · ★ 50
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Benchmark, evaluate, and optimize skills to ensure reliable performance across all LLMs
| Stars | 50 |
| Forks | 7 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 39.7/100 |
| Open Issues | 2 |
| Last Updated | 2026-05-06 |
| Created | 2026-03-06 |
| Platforms | cli, mcp, node |
| Est. Tokens | ~69k |
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skill-optimizer is Benchmark, evaluate, and optimize skills to ensure reliable performance across all LLMs. It is categorized as a MCP Server with 50 GitHub stars.
skill-optimizer is primarily written in TypeScript. It covers topics such as ai, ai-agent, ai-skill.
You can find installation instructions and usage details in the skill-optimizer GitHub repository at github.com/fastxyz/skill-optimizer. The project has 50 stars and 7 forks, indicating an active community.
skill-optimizer is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to skill-optimizer on Agent Skills Hub include LAP, ResearchClawBench, gopher-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.