productivity▌

ln-724-artifact-cleaner

Data visualization transforms complex data into clear, compelling visual representations that reveal patterns, trends, and insights for storytelling and decision-making.

Retrieve protein structures with disambiguation, quality assessment, and comprehensive metadata.

从用户自然语言需求出发，经过需求挖掘、检索词拆解、GitHub 检索、过滤分类、深度解读，最终产出结构化推荐结果。

Use components from your core library instead of raw platform components. This ensures consistent styling and behavior.

Build features guided by data insights, A/B testing, and continuous measurement using specialized agents for analysis, implementation, and experimentation.

Develop robust strategies grounded in rigorous competitive and market analysis, using proven frameworks to diagnose challenges, formulate guiding policies, and specify coherent actions.

Reference: docs.dodopayments.com/features/usage-based-billing

Build evaluators for AI/LLM applications. Code first, LLM for nuance, validate against humans.

ChEMBL is a manually curated database of bioactive molecules maintained by the European Bioinformatics Institute (EBI), containing over 2 million compounds, 19 million bioactivity measurements, 13,000+ drug targets, and data on approved drugs and clinical candidates. Access and query this data programmatically using the ChEMBL Python client for drug discovery and medicinal chemistry research.