Stats
Actions
Tags
From subsidy-fit-jp
Use the kokai MCP server's `kokai_subsidy_fit_jp` prompt to prepare a 3-axis fit signal (regional / industry / scale) for a Japanese company x subsidy pair. 日本語 keyword: 補助金マッチ プロンプト / 補助金 fit frame / 3 軸 fit framework.
How this skill is triggered — by the user, by Claude, or both
Slash command
/subsidy-fit-jp:kokai-subsidy-fit-promptThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Use this skill when:
Use this skill when:
Request the kokai MCP server's kokai_subsidy_fit_jp prompt:
{
"name": "kokai_subsidy_fit_jp",
"arguments": {
"corporate_number": "<13-digit 法人番号>",
"subsidy_id": "<J-Grants subsidy ID>"
}
}
The prompt returns thinking instructions + embedded resources + 3-axis fit analysis framework.
Present the 3-axis fit signal:
For each axis, output fit / partial fit / no fit / insufficient data with cited reasoning.
prepare_subsidy_eligibility_context tool (gated beta, x-kokai-beta-client-id header required) is NOT called by this skill in default workflow. It is referenced only in advanced / beta appendices.npx claudepluginhub kokai-data/japan-business-data --plugin subsidy-fit-jpSearches MemPalace before answering questions about past work, people, projects, or prior decisions. Returns verbatim stored content instead of guessing from model memory.
Guides Payload CMS config (payload.config.ts), collections, fields, hooks, access control, APIs. Debugs validation errors, security, relationships, queries, transactions, hook behavior.
Implements vector databases with Pinecone, Weaviate, Qdrant, Milvus, pgvector for semantic search, RAG, recommendations, and similarity systems. Optimizes embeddings, indexing, and hybrid search.