insyra
Go data analysis, statistics, charts, and machine learning
All Skills in This Repository (6)
Pure Emerald Level Indicatorsinsyra
Analyze and visualize data in Go with parallel processing and Python integration.
openspec-explore
Explore ideas and investigate codebases within the OpenSpec system.
openspec-archive-change
Archive completed changes in the openspec experimental workflow after validating artifacts and tasks.
openspec-propose
Generate change proposals with design, specifications, and tasks using the openspec CLI.
openspec-apply-change
Automate implementation of tasks from an OpenSpec change using the openspec CLI.
use-insyra-cli
Execute data operations and statistical analysis using Insyra CLI commands.
Frequently Asked Questions
FAQPage SchemaHow to install Insyra?▼
Run `npx skills add HazelnutParadise/insyra --all -g -y` in your terminal to install all skills in this suite globally.
What can I do with Insyra?▼
You can load CSV, Excel, Parquet, or SQL data, clean and transform it, run statistical tests and regressions, build charts, and train machine learning or neural network models, all in pure Go.
Can I analyze data without writing Go code?▼
Yes. The Insyra CLI and REPL let you run one-shot commands or .isr scripts for loading, grouping, statistics, and plotting without writing a full program.
Does Insyra work with Claude Code and other agents?▼
Yes. The included skills follow the universal SKILL.md standard and work with Claude Code, OpenClaw, opencode, and any skill-capable agent runtime.
Are Insyra's statistics and models accurate?▼
Yes. Statistical results are verified against R, machine learning models against scikit-learn, and neural network training against PyTorch and onnxruntime.
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