plugin-dev
Prismer Evolution Plugin 开发指南 — 快速迭代 hook/skill、调试、日志查看、测试、发布全流程
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Development skills
Browse reusable Agent Skills, each with a clear purpose and practical guidance.
custom-fields-development
Adds dynamic custom fields to Eloquent models without migrations using Filament integration. Use when adding the UsesCustomFields trait to models, integrating custom fields in Filament forms/tables/infolists, configuring field types, working with field validation, or managing feature flags for conditional visibility, encryption, and multi-tenancy.
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api-design-principles
Principles and checklists for designing and reviewing REST and GraphQL APIs; use when defining or evaluating API contracts (endpoints/schemas), naming, error models, pagination, versioning, and REST vs. GraphQL trade-offs.
1.45k repo starsObserved in 2 repos
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code-refactor-for-reproducibility
Use when refactoring research code for publication, adding documentation to existing analysis scripts, creating reproducible computational workflows, or preparing code for sharing with collaborators. Transforms research code into publication-ready, reproducible workflows. Adds documentation, implements error handling, creates environment specifications, and ensures computational reproducibility for scientific publications.
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datamol
A Pythonic wrapper around RDKit with simplified interfaces and sensible defaults. Preferred for standard drug discovery workflows including SMILES parsing, standardization, descriptors, fingerprints, clustering, 3D conformer generation, and parallel processing. Returns native rdkit.Chem.Mol objects. For advanced control or custom parameters, use rdkit directly.
1.45k repo starsObserved in 2 repos
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geniml
Machine learning toolkit for genomic interval (BED) data; use it when you need to tokenize BED collections and train embeddings for regions/cells/labels, build consensus peak universes, or run similarity search and downstream ML on chromatin accessibility datasets.
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pyhealth
Healthcare AI toolkit for clinical ML. EHR processing, clinical prediction (mortality, readmission, drug recommendation), medical coding (ICD/NDC/ATC), signals (EEG/ECG), datasets (MIMIC-III/IV, eICU, OMOP), and healthcare deep learning (RETAIN, SafeDrug, Transformer, GNN) via...
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pytdc
Therapeutics Data Commons (PyTDC) for AI-ready therapeutic ML datasets and benchmarks; use it when you need standardized dataset loading, meaningful splits (e.g., scaffold/cold-start), and consistent evaluation for ADME/Toxicity/DTI/DDI or molecular optimization.
1.45k repo starsObserved in 2 repos
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torchdrug-english
PyTorch-native Graph Neural Network framework for molecules and proteins. Suitable for building custom GNN architectures for drug discovery, protein modeling, or knowledge graph reasoning. Best for custom model development, protein property prediction, and retrosynthesis. If you need pretrained models and diverse feature extractors, use deepchem; if you need benchmark datasets, use pytdc.
1.45k repo starsObserved in 2 repos
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