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Found 210 Skills
SQL query patterns, schema design, and optimization. Joins, CTEs, window functions, indexing, and anti-patterns. Use when writing SQL queries, designing schemas, optimizing database performance, or reviewing database code.
Build production RAG systems with semantic chunking, incremental indexing, and filtered retrieval. Use when implementing document ingestion pipelines, vector search with Qdrant, or context-aware retrieval. Covers chunking strategies, change detection, payload indexing, and context expansion. NOT when doing simple similarity search without production requirements.
Manage the Grounded Docs MCP Server documentation index. Covers scraping and indexing documentation from URLs or local files, refreshing existing indexes with changed content, and removing libraries from the index. Use when you need to add, update, or delete indexed documentation.
MongoDB - NoSQL document database with flexible schema design, aggregation pipelines, indexing strategies, and Spring Data integration
Google Search Console indexing assistant. Use when the user wants to track page indexing status, compare sitemap against GSC indexed pages, manage submission tracking, or move false positives (pages indexed per URL Inspection but not yet in GSC export) to the indexed list. Maintains two tracking files (indexed.md, to-index.md) with prioritization support.
Run and monitor existing (B2C/demandware/SFCC) jobs using the b2c cli, import/export site archives (IMPEX). Always reference when using the CLI to run jobs, import or export site archives, check job execution status, or trigger search indexing. For creating new jobs, use b2c-custom-job-steps skill instead.
Query Google Search Console analytics, inspect URL indexing status, manage sitemaps, and run PageSpeed Insights audits. Use when the user needs SEO data, search performance reports, indexing diagnostics, or Core Web Vitals analysis.
This skill should be used when code search is needed (whether explicitly requested or as part of completing a task), when indexing the codebase after changes, or when the user asks about codeindex, cocoindex-code, or the codebase index. Trigger phrases include 'search the codebase', 'find code related to', 'update the index', 'codeindex', 'cocoindex-code'.
Apply when deciding whether VTEX Master Data is the right storage for a given workload, designing JSON Schemas with v-indexed, v-cache, v-security, and v-triggers, planning entity capacity and lifecycle, or auditing existing Master Data usage. Covers when to use MD versus Catalog, OMS, VBase, or external databases, schema design best practices, indexing strategy, trigger patterns, and operational considerations. Use before creating any new Master Data entity.
SQL and NoSQL schema design with normalization, indexing, and migration patterns. Use when designing database schemas, creating tables, optimizing slow queries, or planning database migrations.
Ingest and transform data files (CSV/JSON/Parquet/Arrow IPC) into Elasticsearch with stream processing, custom transforms, and cross-version reindexing. Use when loading files, batch importing data, or migrating indices across versions — not for general ingest pipeline design or bulk API patterns.
Query journal indexing/inclusion status on CNKI - check which databases include a journal (北大核心, CSSCI, CSCD, SCI, EI, etc.), get impact factors and evaluation data. Use when user asks about a journal's level, indexing, or ranking.