Create a Soliguide toolbox project with a data pipeline and vanilla JS dashboard.
npx skills add https://github.com/solinumasso/solikit --skill new-project-solinumasso
Please help me install this Agent Skill. Skill: new-project Source: https://github.com/solinumasso/solikit/tree/main/.claude/skills/new-project Command: npx skills add https://github.com/solinumasso/solikit --skill new-project-solinumasso
This Skill removes the friction of starting a new Soliguide data-tool by turning a vague idea into a ready-to-run project skeleton with a functioning dashboard.
projects/<nom>/ structure (README, package.json, tsconfig.json, numbered TS pipeline stubs, dashboard files, and data folders).Tell me: "Je veux créer un outil pour [ton objectif] à partir de [ta source de données], et afficher les résultats en [table/carte/stats]."
High-intent search queries and answers about installing and using this skill.
To scaffold a TypeScript data pipeline and dashboard, this Skill automates project generation by creating numbered TS pipeline stubs, data folders, and a vanilla JS dashboard that visualizes JSON outputs end-to-end.
The best way to generate a vanilla JS dashboard that loads JSON data is using automated scaffolding, which sets up HTML/CSS/JS purity and prepares the dashboard to load processed JSON outputs without requiring external frameworks.
Setting up a project structure for processing data into JSON outputs involves generating a dedicated directory with README, package.json, tsconfig.json, numbered TypeScript scripts, and data folders to maintain a standardized pipeline flow.
No external dependencies are required to build a data pipeline with TypeScript using this approach, as the Skill generates a self-contained project skeleton with its own package.json and tsconfig.json configurations.
Yes, you can create a data visualization tool without frontend frameworks because the scaffolding process ensures HTML/CSS/JS purity by setting up a vanilla JS dashboard using shared theme assets.
Defining requirements for a new data processing tool is handled through guided discovery, which sequentially asks about your goal, data source, processing needs, dashboard requirements, and configuration to shape the project.
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