Skills Refiner is the ultimate engine to Refactor and Localize AI Agent skills. 🚀 What’s New: • 210,000+ Skills: We’ve ingested a massive dataset from GitHub to ensure your agents handle any niche task. • Performance Scoring: A new Benchmarking System (跑分系统) to test and score your refactored code/translation. Stop guessing—start refining your AI’s performance with data-driven precision.
Hi Hunters! 👋
I built Skills Refiner because the biggest bottleneck in AI performance isn't the model—it's the Inconsistent Quality (质量参差不齐) of the skills we feed it.
The Problem:
Everyone writes skills differently. Most "prompts" are filled with Ambiguous Terms (模糊词汇) or sensitive language that confuses the AI, leading to unpredictable results. This is especially challenging for Non-native English Speakers (非英语母语者) who struggle to polish their technical logic in a second language.
Our Solution:
We don't just "rewrite"; we Refactor (重构).
Standardization (标准化): We strip away vague descriptions and replace them with precise, AI-optimized logic.
210,000+ Datasets: We’ve ingested a massive library of high-performing skills from GitHub to set the gold standard.
Benchmarking System (跑分系统): Stop guessing. Our system scores your refactored skills so you know exactly how much more efficient they've become.
Whether you are a developer or an AI enthusiast, Skills Refiner ensures your agents speak the same high-performance language.
I’d love to hear your Feedback (反馈). How are you currently managing your AI skills?
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Sounds interesting! I am looking forward to trying it out! Our biggest challenge has been managing context usage effectively when skills and MCP connectors burn through so much of it wastefully. Made some progress fixing that finally in Claude, but refined and optimized skills will be a big help!
210k skills is a massive dataset. One thing I've learned is that skill quality matters way more than skill quantity, so having a proper benchmarking system is huge. Curious how the performance scoring works across different model providers? Great stuff!
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Super super useful! Will use it for my app matterhorn.so
AI Agent Skills Refiner
Sounds interesting! I am looking forward to trying it out! Our biggest challenge has been managing context usage effectively when skills and MCP connectors burn through so much of it wastefully. Made some progress fixing that finally in Claude, but refined and optimized skills will be a big help!
ClawSecure
210k skills is a massive dataset. One thing I've learned is that skill quality matters way more than skill quantity, so having a proper benchmarking system is huge. Curious how the performance scoring works across different model providers? Great stuff!
Super super useful! Will use it for my app matterhorn.so