Bases de dades
Gestió i consultes de bases de dades
civiltekk-python-backend-skill
darellchua2
Python backend engineering — scaffold FastAPI/Django/Flask projects (layout, dependency injection, config, virtual environments, pyproject.toml), package apps and libraries (Poetry, uv, setuptools, hatch, dependency management, PyPI publishing), and apply backend patterns (Pydantic v2 conventions, layered FastAPI architecture, ORM pitfalls N+1/migration syntax, defensive coding, multi-tenant isolation).
arcgis-time-animation
SaschaBrunnerCH
Work with temporal data using TimeSlider, TimeExtent, and time-aware layers. Use for animating data over time, filtering by date ranges, and visualizing temporal patterns.
xsql
zx06
Use when you need to safely inspect MySQL/PostgreSQL data or schema via the xsql CLI.
json-repair
Ven0m0
Use the json_repair Python library to fix invalid/malformed JSON, especially output from LLMs. Trigger this skill whenever you encounter broken JSON strings, need to parse unreliable JSON from model outputs, want a drop-in replacement for json.loads() that auto-repairs, or are building pipelines that consume LLM-generated JSON. Also use when the user mentions "json repair", "fix json", "malformed json", "invalid json from LLM", or needs to robustly parse JSON that may have missing quotes, trailing commas, unescaped characters, or other common LLM output defects.
backend-engineer
siviter-xyz
Build robust backend systems with modern technologies (Node.js, Python, Go, Rust), frameworks (NestJS, FastAPI, Django), databases (PostgreSQL, MongoDB, Redis), APIs (REST, GraphQL, gRPC), authentication (OAuth 2.1, JWT), testing strategies, security best practices (OWASP Top 10), performance optimization, scalability patterns (microservices, caching, sharding), DevOps practices (Docker, Kubernetes, CI/CD), and monitoring. Use when designing APIs, implementing authentication, optimizing database queries, setting up CI/CD pipelines, handling security vulnerabilities, building microservices, or developing production-ready backend systems.
memory-forget
VeriTeknik
"Delete specific memories or clear memory categories. Use with caution - forgotten memories cannot be recovered."
codebase-context
jsegov
This skill should be used when the user asks to "analyze the codebase", "understand the tech stack", "extract project patterns", "get codebase context", "what technologies are used", or when preparing context for planning documents, PRDs, or design documentation.
research
jsegov
This skill should be used when the user asks to "research documentation", "find framework docs", "search for best practices", "look up API documentation", "find implementation patterns", "research how to implement", or when gathering external technical knowledge to inform planning or design decisions.
supabase
darrellpoe06
"Use when doing ANY task involving Supabase. Triggers: Supabase products (Database, Auth, Edge Functions, Realtime, Storage, Vectors, Cron, Queues); client libraries and SSR integrations (supabase-js, @supabase/ssr) in Next.js, React, SvelteKit, Astro, Remix; auth issues (login, logout, sessions, JWT, cookies, getSession, getUser, getClaims, RLS); Supabase CLI or MCP server; schema changes, migrations, declarative schemas, security audits, Postgres extensions (pg_graphql, pg_cron, pg_vector); debugging and troubleshooting errors or unexpected behavior on Supabase projects (HTTP errors, Postgres errors, RLS surprises, permission denied, schema cache issues, timeouts, Edge Function crashes, Realtime drops, Storage failures) and reading or querying logs (Logs Explorer, ClickHouse)."
sqlite-tools
huangzt
"SQLite 数据库工具集，用于操作 SQLite 数据库文件。支持 .db、.sqlite、.sqlite3、.vscdb 等常见扩展名。无需额外安装依赖，使用 Python 内置 sqlite3 模块。支持 Windows、macOS 和 Linux 平台。"
mssql-tools
huangzt
"SQL Server (MSSQL) 数据库工具集，用于连接数据库实例、列出所有表、查看表结构、执行 SQL 查询等操作。当需要操作 SQL Server 数据库、查询数据、分析表结构时使用此技能。支持通过命令行参数指定 server、port、user、password、database 等连接信息，可代替 mssql mcp 服务使用。支持 Windows、macOS 和 Linux 平台。"
database-engineer
JochenYang
Database architecture design, schema optimization, query performance tuning, and data migration. Handles PostgreSQL, MySQL, MongoDB, Redis with focus on scalability, indexing strategies, and transaction management.
mysql-tools
huangzt
"MySQL 数据库工具集，用于连接数据库实例、列出所有表、查看表结构、执行 SQL 查询等操作。当需要操作 MySQL 数据库、查询数据、分析表结构时使用此技能。支持通过命令行参数指定 host、port、user、password、database 等连接信息，可代替 mysql mcp 服务使用。支持 Windows、macOS 和 Linux 平台。"
dm8-tools
huangzt
"达梦数据库(DM8)工具集，用于连接数据库实例、列出所有表、查看表结构、执行 SQL 查询等操作。当需要操作达梦数据库、查询数据、分析表结构时使用此技能。支持通过命令行参数指定 host、port、user、password、database、schema 等连接信息，可代替 dm8 mcp 服务使用。支持 Windows、macOS 和 Linux 平台。"
AI Discoverability Audit v2 — The Signal Audit
BrianRWagner
© 2026 Brian Wagner. Available at shopclawmart.com
nextjs-v16
bobmatnyc
Next.js 16 migration guide (async request APIs, "use cache", Turbopack)
mongodb
bobmatnyc
MongoDB - NoSQL document database with flexible schema design, aggregation pipelines, indexing strategies, and Spring Data integration
engineer-analyst
rysweet
Analyzes technical systems and problems through engineering lens using first principles, systems thinking, design methodologies, and optimization frameworks. Provides insights on feasibility, performance, reliability, scalability, and trade-offs. Use when: System design, technical feasibility, optimization, failure analysis, performance issues. Evaluates: Requirements, constraints, trade-offs, efficiency, robustness, maintainability.
Performance review
itzikiusa
A single-lens performance & scalability reviewer. Reasons about cost at scale — what a change does at 1 row vs 1M, 1 user vs 10k — and hunts the patterns that quietly turn linear into quadratic or one query into a thousand: N+1 and queries-in-loops, missing indexes / full scans, accidental O(n²), needless allocations/copies/serialization, re-fetching data already in hand, blocking I/O on a hot path, unbounded memory growth, chatty network calls, missing pagination/batching, and cache misuse. Every finding cites file:line, a severity, the cost model (when it bites), and a concrete fix. Distinguishes a real hot-path problem from a cold-path micro-optimization — and does not flag premature optimization.
duckdb
tondevrel
An analytical in-process SQL database management system. Designed for fast analytical queries (OLAP). Highly interoperable with Python's data ecosystem (Pandas, NumPy, Arrow, Polars). Supports querying files (CSV, Parquet, JSON) directly without an ingestion step. Use for complex SQL queries on Pandas/Polars data, querying large Parquet/CSV files directly, joining data from different sources, analytical pipelines, local datasets too big for Excel, intermediate data storage and feature engineering for ML.
polars
tondevrel
Blazingly fast DataFrame library written in Rust. Features a multi-threaded query engine, lazy evaluation, and efficient memory usage via Apache Arrow. Designed for high-performance data processing on a single machine. Use for large datasets (1GB-100GB+), fast data transformations, Parquet/CSV processing, complex query pipelines, memory-efficient operations, and when speed is critical (10-100x faster than pandas).
salvo-database
salvo-rs
Integrate databases with Salvo using SQLx, Diesel, SeaORM, or other ORMs. Use for persistent data storage and database operations.
lovable
10K-Digital
Integration skill for Lovable.dev projects. Activates when working with: - Lovable.dev projects with GitHub sync - Supabase Edge Functions that need deployment - Database migrations for Lovable Cloud - Projects with supabase/ directory structure - Any mention of "Lovable", "deploy edge function", "apply migration" Provides exact Lovable prompts for backend operations that can't be done via GitHub alone.
result-backend-patterns
vanman2024
Result backend configuration patterns for Celery including Redis, Database, and RPC backends with serialization, expiration policies, and performance optimization. Use when configuring result storage, troubleshooting result persistence, implementing custom serializers, migrating between backends, optimizing result expiration, or when user mentions result backends, task results, Redis backend, PostgreSQL results, result serialization, or backend migration.