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TimeSeriesCounterfactuals
Turn before/after time-series questions into counterfactual charts, reproducible reports, share packages, and AI-agent-ready handoffs.
2stars
0forks
Python
agent-toolsbenchmarkingcausal-impactcausal-inferencecounterfactualcounterfactual-analysisdata-visualizationforecastingintervention-analysismcppythonreports
Quality signals
ActiveNo testsNo CIThin docsNo licenseNew
InstallSKILLInstall as a Claude Code skill
Universal installANY TOOL
$ npx skillcity@latest ZipengWu365/TimeSeriesCounterfactualsAuto-detects the skill or MCP server in this repo and installs it for Claude Code, Codex, Cursor, Cline, OpenCode, Gemini CLI, Anti-Gravity, OpenClaw and Hermes.
Requires Node.js 18+ (ships with npx).
Or install manually
# Install into ~/.claude/skills/ mkdir -p ~/.claude/skills/timeseriescounterfactuals curl -fsSL https://raw.githubusercontent.com/ZipengWu365/TimeSeriesCounterfactuals/main/SKILL.md -o ~/.claude/skills/timeseriescounterfactuals/SKILL.md
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Ask a simulated agent to run this skill. It loads the real SKILL.md and reasons over your task with NVIDIA.
timeseriescounterfactuals — sandboxAI sandbox
Pick a quick prompt below or type your own — watch the agent execute this skill step by step.
guest@skillcity:~$Try a prompt