Explorar skills

Build AI that answers questions about your database. Use when you need text-to-SQL, natural language database queries, a data assistant for non-technical users, AI-powered analytics, plain English database search, or a chatbot that talks to your database. Covers DSPy pipelines for schema understanding, SQL generation, validation, and result interpretation., text-to-SQL that actually works, AI SQL

.NET Backend Engineer role skill. Use when you need to implement .NET/C# backend features, API endpoints, database operations, Service layer, or Repository layer. Keywords: .NET, C#, ASP.NET Core, Entity Framework, Dapper, SqlSugar, backend development, API implementation, database, service implementation, Blazor.

Quick operations on `src/data/data.sqlite` — inspect the current schema, add a single column to an existing table via Drizzle migration, seed 2-5 test rows, or run a read-only SELECT/COUNT query. Trigger whenever the user wants a small, single-step database operation. Phrases like 'add a company column to testimonials', 'seed 5 rows into pricing_tiers', 'show me the schema', 'count draft vs publis

ACTIVATE on ANY request that involves writing, generating, reviewing, modifying, or outputting source code in any programming language — Python, JavaScript, TypeScript, Go, Java, Rust, C#, SQL, Terraform, or any other. This includes functions, endpoints, scripts, migrations, infrastructure-as-code, config files with logic, and code snippets in responses. Every piece of code the LLM produces must i

Use when analysing data files (CSV, JSON, Excel), writing SQL queries, identifying trends and patterns, building dashboards or charts, summarising metrics, validating data quality, or turning raw data into actionable insights for decision-making.

Python Backend Engineer role skill. Use when you need to implement Python backend features, async REST APIs, data processing pipelines, AI/ML inference services, or web scraping workflows. Keywords: Python, FastAPI, Pydantic, SQLAlchemy, asyncpg, Pandas, Polars, Celery, LangChain, Playwright, Scrapy, data pipeline, async, backend development.

.NET后端工程师角色技能。当需要实现.NET/C#后端功能、API接口、数据库操作、服务层、Repository层实现时使用。关键词：.NET、C#、ASP.NET Core、Entity Framework、Dapper、SqlSugar、后端开发、API实现、数据库、服务实现、Blazor。

Design or evolve SQLite schema (`src/data/schema/tables/*.ts`) using Drizzle ORM — new tables, relational modeling, junction tables for many-to-many, foreign keys, CHECK constraints, SEO fields (slug, meta_title, meta_description), draft/published status columns, and media references. Trigger whenever the user wants to model a new content type (events, team members, case studies, pricing tiers, bl

Python后端工程师技能。当需要实现Python后端功能、异步REST API、数据处理管道、AI/ML推理服务或Web爬虫工作流时使用。关键词：Python、FastAPI、Pydantic、SQLAlchemy、asyncpg、Pandas、Polars、Celery、LangChain、Playwright、Scrapy、数据管道、异步、后端开发。

Root cause analysis for software bugs in large legacy codebases. Use this skill WHENEVER the user asks WHY a bug happens, asks for RCA, mentions root cause analysis, says /bug.why, /bug.investigate, asks "why is this failing", "find the root cause", "trace this exception", "investigate this bug", "post-incident review", or pastes a stack trace, error log, exception, NullReferenceException, SqlExce

Use when diagnosing or resolving SAP performance problems — slow transactions, long-running batch jobs, expensive SQL, HANA resource issues, or general ABAP runtime bottlenecks.

Neo4j and Cypher: graph schema design, query patterns, performance optimisation, PostgreSQL integration.