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MariaDB-Hackathon-MY-2026
GitHub 创作者资料

MariaDB-Hackathon-MY-2026

按仓库查看 1 个 GitHub 仓库中的 4 个已收集 skills。

已收集 skills
4
仓库
1
更新
2026-05-09
仓库分布

Skills 分布在哪些仓库

按已收集 skill 数展示主要仓库,并显示它们在该创作者目录中的占比和职业覆盖。

仓库浏览

仓库与代表性 skills

seamless-rag
数据库架构师

Use Seamless-RAG (the MariaDB-native vector + RAG toolkit) to embed table rows, run vector search with VEC_DISTANCE_COSINE/HNSW, and return query results in TOON tabular format that costs 10–55% fewer LLM tokens than JSON. Trigger this skill whenever the user is working with the seamless-rag CLI or Python package, mentions MariaDB VECTOR columns, asks to embed/index/search rows in MariaDB, wants to convert SQL output into a token-efficient context for an LLM, asks about TOON v3 format, or sets up auto-embedding/watch-mode against a MariaDB table — even if they don't say 'seamless-rag' by name. Also use when the user pairs this with the text-to-sql skill for hybrid (precise filter + semantic) queries.

2026-05-09
text-to-sql
数据库架构师

Translate a natural-language data question into a safe SELECT query against MariaDB and return the result in TOON tabular format (token-efficient context for LLMs/agents). Trigger this skill whenever the user has structured tables in MariaDB and asks a question that maps to precise SQL — revenue/sales reports, top-N rankings, GROUP BY aggregations, exact-value filters, JOINs across tables, counts, averages, percentile-style queries — rather than fuzzy/semantic search. Also trigger when the user explicitly says 'write SQL for…', 'query the DB for…', or hands you a schema and asks a question. Pairs with the seamless-rag skill: this one handles the precise-SQL leg, seamless-rag handles the semantic / vector-search leg, and they combine via `seamless-rag ask … --where` for hybrid queries.

2026-05-09
seamless-rag
软件开发工程师

Work with the Seamless-RAG toolkit — MariaDB vector search, TOON encoding, auto-embedding, and RAG queries. Use this skill when the user works in the seamless-rag project, asks about MariaDB vector operations, TOON format encoding, embedding providers, or RAG pipeline tasks. Also trigger when the user wants to query databases via vector search, convert data to TOON format, or manage MariaDB embedding workflows.

2026-04-11
text-to-sql
软件开发工程师

Convert natural language questions into SQL, execute against MariaDB, and return results in TOON format. Use when the user asks a data question that needs a precise SQL query — revenue reports, aggregations, filtered lookups, JOINs — rather than semantic/vector search. Works with any MariaDB database the user has access to.

2026-04-11
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MariaDB-Hackathon-MY-2026 Agent Skills | SkillsMP