TSA-TSQA-with-LLMs: Turn Time‑Series Data into Actionable Answers
From the repo · “[IJCAI 2026] This is the supporting website for the paper "From Time Series Analysis to Question Answering: A Survey in the LLM Era".”
Build AI agents that automatically analyze and answer time-series questions.
"A founder, John, wants to understand their company's revenue trends. He connects his Amazon data to TSA TSQA with LLMs and asks the agent to analyze the data for the past quarter. The agent produces a detailed report with insights on revenue growth, seasonality, and anomalies. John can now make data-driven decisions with confidence."
- •When you need to identify patterns and trends in time series data
- •When you want to generate answers to questions about your time series data
- •When you're looking to integrate time series analysis with natural language processing capabilities
Run `python tsa_tsqa_example.py --ts_data sample_data.csv --question 'What is the average value of the time series?'` to see the tool generate an answer to a question about the sample data
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/tsa-tsqa-with-llms && curl -fsSL https://workflowstacks.com/api/skills/tsa-tsqa-with-llms/claude-skill -o ~/.claude/skills/tsa-tsqa-with-llms/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/tsa-tsqa-with-llms && curl -fsSL https://workflowstacks.com/api/skills/tsa-tsqa-with-llms/claude-skill -o ~/.claude/skills/tsa-tsqa-with-llms/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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Pages we wrote and tested that put a skill like this to work — importable n8n templates, outcome guides and Claude Desktop configs.
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