AI Agent Skills

Write raw ClickHouse SQL for a SigNoz dashboard panel — timeseries, value, or table widgets that the builder UI cannot express (custom joins, window functions,

Web-scraping script that writes the data of all players from FutHead and FutBin to a CSV file or a DB

Collect and analyze Google Analytics 4 (GA4) website data in a local SQLite database. Stores pageviews, active users, reading dwell time, traffic sources, and outbound c…

Collect and analyze Google Search Console organic search data in a local SQLite database. Stores clicks, impressions, click-through rates (CTR), average ranking position…

Guides Aerospike application development with official clients for Java/Go/Python/C#/Node.js/Rust including data modeling collection types expression APIs index

Score the eval diff at $ARGUMENTS against the eval rubric.

Create a new SigNoz dashboard from a natural-language intent — import a curated template (PostgreSQL, Redis, JVM, k8s, hostmetrics, APM, LLM, etc.) when one fits, or bui…

Getting started with Aerospike Database locally and in application code: run Docker, install official client SDKs (Python, Node.js, Go, Java, C#), verify put/ge

Comprehensive guide for Go database access. Covers parameterized queries, struct scanning, NULLable column handling, error patterns, transactions, isolation levels, SELE…

Designs a new Aerospike data model from requirements, producing a schema guide and schema summary: record granularity, key design, bin structure, relationship a

Plans the stack, database schema and API for an app clone, from the recon map replica-recon wrote. Picks boring, managed tech, turns the inferred data model int

生成数据分析报告。当用户要求"报告/可视化报告/趋势报告/分析报告/统计报告/月报/周报"等任何报告类输出时启用。完整流程：理解需求 → 检索表结构 → 多维度 SQL 查询 → 智能深度分析归因 → 动态风格 HTML 可视化报告（ECharts）→ 分隔符包裹后直接输出到对话。

Discover, inspect, convert, create, edit, validate, publish, start, advance, stop, resume, and recover public Workflows; connect to a LazyMind deployment to modify an ex…

Graph database skills for Apache AGE on PostgreSQL. Covers the full lifecycle: deriving an ontology from structured or unstructured data with a human feedback loop, buil…

Guides and best practices for working with Lakebase Postgres on Neon: connections, pooled vs direct, schema migrations, branching, autoscaling, scale-to-zero, i

Choose and create the right Neon branch type for testing and development. Use when users ask about Neon branching, migration testing with real data, isolated te