transformers
This skill should be used when working with pre-trained transformer models for natural language processing, computer vision, audio, or multimodal tasks. Use for text generation, classification, question answering, translation, summarization, image classification, object detection, speech recognition, and fine-tuning models on custom datasets.
product-planner
AI产品经理,整套"0基础 AI 协同开发系统"的源头角色与项目总导演。将自然语言需求转换为可执行的产品规划与标准化任务卡,协调 Backend/Frontend/SCF/QA/Reviewer/Deploy/Billing Guard 多部门有序并行交付。遵循易用性优先、契约优先、门禁治理、MVP-first 的工程基线。适用于收到自然语言需求时使用。
task-assistant
Intelligent task management via the `task` CLI. Invoke when users ask to: create/list/update/delete tasks, search tasks (text or semantic), track work items with due dates, organize tasks into projects, run batch operations, generate activity reports, or manage recurring tasks. Supports natural language dates and Google Calendar sync.
named-entity-extractor
Extract named entities (people, organizations, locations, dates) from text using NLP. Use for document analysis, information extraction, or data enrichment.
nlp-basics
Process and analyze text using modern NLP techniques - preprocessing, embeddings, and transformers
deep-learning
Neural networks, CNNs, RNNs, Transformers with TensorFlow and PyTorch. Use for image classification, NLP, sequence modeling, or complex pattern recognition.
semantic-search
Natural language code search, pattern detection, semantic code analysis
speech-to-text
Expert skill for implementing speech-to-text with Faster Whisper. Covers audio processing, transcription optimization, privacy protection, and secure handling of voice data for JARVIS voice assistant.
text-to-sql
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octave-compression
Specialized workflow for transforming verbose natural language into semantic OCTAVE structures. REQUIRES octave-literacy to be loaded first
Sentiment Analysis
Classify text sentiment using NLP techniques, lexicon-based analysis, and machine learning for opinion mining, brand monitoring, and customer feedback analysis
Natural Language Processing
Build NLP applications using transformers library, BERT, GPT, text classification, named entity recognition, and sentiment analysis
app-builder
Main application building orchestrator. Creates full-stack applications from natural language requests. Determines project type, selects tech stack, coordinates agents.
transcript-fixer
Corrects speech-to-text transcription errors in meeting notes, lectures, and interviews using dictionary rules and AI. Learns patterns to build personalized correction databases. Use when working with transcripts containing ASR/STT errors, homophones, or Chinese/English mixed content requiring cleanup.
nano-pdf
Edit PDFs with natural-language instructions using the nano-pdf CLI.
transformers
This skill should be used when working with pre-trained transformer models for natural language processing, computer vision, audio, or multimodal tasks. Use for text generation, classification, question answering, translation, summarization, image classification, object detection, speech recognition, and fine-tuning models on custom datasets.
