ml-pipeline-workflow
Build and orchestrate end-to-end MLOps pipelines covering data preparation, training, validation, and automated deployment.
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127 skills found
Build and orchestrate end-to-end MLOps pipelines covering data preparation, training, validation, and automated deployment.
Efficiently extract, filter, and transform specific fields from JSON files using jq, saving up to 95% of context window usage compared to reading full files.
Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows within the Ruflo/Claude Flow ecosystem.
Standardized workflow and checklist assistant for MassGen release documentation, covering changelogs, Sphinx docs, case studies, and roadmap synchronization.
High-performance document intelligence library for extracting text, tables, code, and metadata from 91+ file formats, with OCR and LLM-ready output.
AI-powered lead generation pipeline: intelligent lead scoring (0-100) and context-aware follow-up generation for sales, cold outreach, and CRM integration.
Download Instagram Reels, extract metadata, and generate full audio transcripts using Groq Whisper. Supports TikTok and YouTube Shorts via yt-dlp.
A deep analysis tool for A-share markets generating interactive, FT-style HTML daily reports using multi-agent parallel architecture, AkShare data, and Tavily news.
A comprehensive personal life management system using Todoist for task tracking, Logseq for journaling, and AI-driven insights for productivity.
A modular data processing tool for cleaning, validating, and analyzing CSV files with support for custom transformations and automated dependency management.
Load, validate, and preprocess weekly insurance policy CSV data with intelligent period detection and standardization.
Classical machine learning with scikit-learn. Use for classification, regression, clustering, dimensionality reduction, preprocessing, model evaluation, and building robust ML pipelines in Python.