ai-workflow-automator turns plain text into validated AI pipeline configs for seamless serverless data workflows.
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Updated
Dec 21, 2025 - Python
ai-workflow-automator turns plain text into validated AI pipeline configs for seamless serverless data workflows.
keyinfostruct extracts and structures key info from personal texts, highlighting main points, emotions, and suggested actions for better organization.
A new package designed to help users navigate the volatile memory market by providing structured, long-term investment strategies. Users input their current financial situation, risk tolerance, and in
A new package that helps users extract and organize key reasons from text inputs, specifically focusing on why certain actions or outcomes might be undesirable. For example, given a text input about t
A new package designed to transform unstructured text inputs into well-formatted Markdown content. This tool is particularly useful for users who need to convert raw text, such as notes, ideas, or dra
Auto-comsight extracts structured insights from text about autonomous systems, categorizing components, challenges, and optimizations.
A new package that transforms unstructured text descriptions of software performance benchmarks into standardized, comparable metrics. Users input text descriptions of performance tests, and the packa
Chronicle-ai extracts and summarizes historical queries into structured, formatted summaries using llmatch-messages for clarity.
vuln-structure is a package that extracts vulnerability details from raw text and outputs standardized, structured data for security teams.
eco-num-extract turns natural science text into structured numeric data using llmatch-guided outputs.
txn-harvester extracts and structures financial transaction data from unstructured text, parsing amounts, dates, and categories for automation.
Convert unstructured text into structured, queryable knowledge with llmatch-messages. Extract and organize key details for fast, reliable access—ideal for teams and researchers.
transcript-insightful extracts and structures key insights from video transcripts, delivering concise themes and implications.
A new package that allows users to input a public username or handle from social media platforms, and receives a structured, humorous roast based on publicly available information. The package uses ll
A new package that helps extract and structure insights from discussions about AI system design challenges. Users can input text from forums, articles, or discussions, and the package will use llmatch
A new package designed to streamline content management tasks within Textpattern CMS 4.9.0. It allows users to input text-based content or instructions related to their CMS, such as article drafts, fo
A new package that transforms unstructured text queries into highly structured, search-optimized outputs. The package takes a user's text input, such as a search query or a description of information
A new package designed to extract and structure key insights from opinionated articles or social media posts. The package takes a text input, such as a blog post or a tweet, and uses llmatch-messages
text-to-struct converts unstructured text into standardized, structured output
structuinput transforms natural language inputs into structured outputs like API templates, config files, and data schemas, streamlining development and integration.
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