Retrieval and Retrieval-augmented LLMs
$ npx skills add FlagOpen/FlagEmbeddingAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Implementation of triplet loss in TensorFlow
Retrieval and Retrieval-augmented LLMs
$ npx skills add FlagOpen/FlagEmbedding100+ Chinese Word Vectors 上百种预训练中文词向量
$ npx skills add Embedding/Chinese-Word-VectorsBringing BERT into modernity via both architecture changes and scaling
$ npx skills add AnswerDotAI/ModernBERTImplementation of the node2vec algorithm.
$ npx skills add eliorc/node2vecNomic Developer API SDK
$ npx skills add nomic-ai/nomicClassify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.
$ npx skills add jiegzhan/multi-class-text-classification-cnn-rnntext2vec, text to vector. 文本向量表征工具,把文本转化为向量矩阵,实现了Word2Vec、RankBM25、Sentence-BERT、CoSENT等文本表征、文本相似度计算模型,开箱即用。
$ npx skills add shibing624/text2vecPre-trained subword embeddings in 275 languages, based on Byte-Pair Encoding (BPE)
$ npx skills add bheinzerling/bpembThe Clay Foundation Model - An open source AI model and interface for Earth
$ npx skills add Clay-foundation/modelFast State-of-the-Art Static Embeddings
$ npx skills add MinishLab/model2vecOpen-source tools for prompt testing and experimentation, with support for both LLMs (e.g. OpenAI, LLaMA) and vector databases (e.g. Chroma, Weaviate, LanceDB).
$ npx skills add hegelai/prompttoolsPredict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.
$ npx skills add lilianweng/stock-rnnSolves basic Russian NLP tasks, API for lower level Natasha projects
$ npx skills add natasha/natashaFuzzy string matching, grouping, and evaluation.
$ npx skills add MaartenGr/PolyFuzzGPT-vup BIliBili | 抖音 | AI | 虚拟主播
$ npx skills add jiran214/GPT-vupPrivacy-respecting metasearch engine
$ npx skills add searx/searxHow to choose
Use an alternative when it has a clearer install path, higher trust score, fresher maintenance, or better platform fit for your current agent stack. Keep Tensorflow Triplet Loss if it already passes your workflow test and repository review.
Next step
Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.