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hojokin-navi

Consolidate subsidy data from J-Grants and prefectural sources into Supabase.

Updated Dec 30, 2025
Search Tags:#api#supabase#grant#data-ingestion#data-normalization#subsidy#jgrants
One-click install
npx skills add https://github.com/ikki-dali/subsidy --skill hojokin-navi
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: hojokin-navi
Source: https://github.com/ikki-dali/subsidy/tree/main
Command: npx skills add https://github.com/ikki-dali/subsidy --skill hojokin-navi

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires @supabase/supabase-js, dotenv, cheerio, and includes scripts (resource) components.

What problem does it solve?

This Skill provides a centralized approach to collecting, normalizing, and exposing subsidy data from J-Grants and prefectural/municipal sources. It reduces manual data wrangling, ensures consistent fields, and enables reliable discovery for teams building subsidy search tools.

Core Features & Use Cases

  • Ingestion and consolidation: fetch subsidies from J-Grants and regional sources, unify IDs, titles, and fields.
  • Normalization: standardize dates, currency, industries, and area fields to JSON-friendly formats.
  • Persistence and access: upsert into a Supabase/PostgreSQL schema with search-ready indexing; expose a queryable API and Slack/notification hooks.
  • Use cases include: building a grant-discovery UI, monitoring new subsidies, and triggering alerts when new subsidies are added.

Quick Start

Ingest subsidy data from J-Grants and prefectural sources into the database and verify searchable queries.

Frequently Asked Questions about hojokin-navi

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I consolidate Japan subsidy data from J-Grants and prefectural sources into a single database?▼

To consolidate Japan subsidy data, this Skill ingests grants from J-Grants and regional sources, normalizes fields like dates and currency, and upserts the unified dataset into a Supabase database for searchable access.

What is data normalization for subsidy datasets, and how does it handle inconsistent HTML fields?▼

Data normalization for subsidy datasets standardizes inconsistent fields into JSON-friendly formats. This Skill uses Cheerio for HTML sanitization, ensuring clean titles and descriptions are transformed for a searchable dataset.

Can I use Supabase to store and query normalized J-Grants subsidy data?▼

Yes, you can use Supabase to store and query J-Grants subsidy data. This Skill upserts normalized records into a PostgreSQL schema with search-ready indexing and exposes a structured API for downstream apps.

What's the best way to monitor new subsidies and trigger alerts when regional grants are added?▼

The best way to monitor new subsidies is by leveraging this Skill's persistence and access features. It supports notification hooks and alerts, triggering updates when new J-Grants or prefectural subsidies are ingested.

Do I need a specific database setup to ingest and normalize J-Grants subsidy data?▼

You need a Supabase database setup to ingest and normalize J-Grants subsidy data. The Skill relies on Supabase for data persistence and requires environment variables configured via dotenv to manage API connections securely.

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