database-design
vmain
io.github.cosmicstack-labs/mercury-agent-skills/database-design
Schema design, normalization, indexing, migrations, and query optimization for SQL and NoSQL
“Data Analysis” 共 1,434 个结果
vmain
io.github.cosmicstack-labs/mercury-agent-skills/database-design
Schema design, normalization, indexing, migrations, and query optimization for SQL and NoSQL
vmaster
io.github.TencentBlueKing/bk-ci/database-design
设计 BK-CI 数据库表、DDL 脚本、索引、分表或数据归档策略时使用。当用户提到表结构、字段设计、索引优化、SQL 脚本命名、分片、归档迁移时优先使用。
vmain
io.github.a5c-ai/babysitter/database-testing
Test database operations — schema migration validation, query correctness, transaction integrity, and data consistency checks.
vmain
io.github.a5c-ai/babysitter/database-drivers-connectors
Integrate database drivers and connectors — connection pooling, query builders, ORM configuration, and multi-database abstraction layers.
vmaster
io.github.nixopus/nixopus/database-migration
Run database migrations safely during deployment — framework-specific commands, pre-deploy vs post-deploy timing, health gates, and rollback strategies. Use when the app has a database migration system and needs migrations run during deployment.
vmaster
io.github.nixopus/nixopus/deployment-analysis
Analyze a repository to determine ecosystem, deployment targets, ports, build commands, and monorepo structure. Use when starting a new deployment, onboarding a repository, or when the user asks what stack or framework a project uses.
vmain
io.github.mkurman/zorai/database-lookup
Search 78 public scientific, biomedical, materials science, and economic databases via their REST APIs and return structured JSON results. Covers physics/astronomy (NASA, NIST, SDSS, SIMBAD, Exoplanet Archive), earth/environment (USGS, NOAA, EPA, OpenWeatherMap), chemistry/drugs (PubChem, ChEMBL, DrugBank, FDA, KEGG, DailyMed, ZINC, BindingDB), materials science (Materials Project, COD), biology/genomics (Reactome, BRENDA, UniProt, STRING, Ensembl, NCBI Gene, GEO, GTEx, PDB, AlphaFold, InterPro, ChEBI, BioGRID, Gene Ontology, QuickGO, NCBI Protein/Taxonomy, dbSNP, SRA, ENA, gnomAD, UCSC Genome, ENCODE, JASPAR, MouseMine, PRIDE, LINCS L1000, Human Protein Atlas, Human Cell Atlas, RummaGEO, Metabolomics Workbench, EMDB, Addgene), disease/clinical (COSMIC, Open Targets, ClinPGx, ClinicalTrials.gov, OMIM, ClinVar, GDC/TCGA, cBioPortal, DisGeNET, GWAS Catalog, Monarch, HPO), regulatory (FDA, USPTO, SEC EDGAR), economics/finance (FRED, BEA, BLS, Federal Reserve, World Bank, ECB, US Treasury, Alpha Vantage, Data Com
vmain
io.github.LeoYeAI/openclaw-master-skills/datadog-monitor-designer
Design Datadog monitors that catch real production issues without paging on noise. Covers SLO-based monitoring with multi-window multi-burn-rate alerts, the decision between threshold/anomaly/forecast/outlier/composite monitor types, tag-driven routing, downtime windows, monitor template inheritance per service tier, notification message engineering, and runbook linking. Acts as a senior SRE who has owned 4,000+ Datadog monitors and pruned them down to 600 monitors that still catch every real incident. Knows the Datadog billing levers (custom metrics, indexed logs, ingested traces), how `from`/`group_by` interact with no-data evaluation, the difference between simple alerts and multi-alerts, and which monitor types are silently expensive. Use when monitors are paging on cosmetic blips, when a service tier needs a coherent monitor set, when SLOs need turning into burn-rate alerts, or when monitor sprawl is unmanageable. Triggers on "datadog", "datadog monitor", "monitor design", "slo", "burn rate", "anomaly mo
vmain
io.github.alirezarezvani/claude-skills/sql-database-assistant
Use when the user asks to write SQL queries, optimize database performance, generate migrations, explore database schemas, or work with ORMs like Prisma, Drizzle, TypeORM, or SQLAlchemy.
vmain
io.github.alirezarezvani/claude-skills/database-schema-designer
Use when the user asks to create ERD diagrams, normalize database schemas, design table relationships, or plan schema migrations.
vmain
io.github.Jeffallan/claude-skills/database-optimizer
Optimizes database queries and improves performance across PostgreSQL and MySQL systems. Use when investigating slow queries, analyzing execution plans, or optimizing database performance. Invoke for index design, query rewrites, configuration tuning, partitioning strategies, lock contention resolution.
vmain
io.github.Samsung/TizenFX/refactor-analysis
Automatically scans the TizenFX codebase on a rotating schedule to discover .NET 8 / C# 12+ refactoring targets and register them as GitHub Issues.
vmaster
io.github.HolmesGPT/holmesgpt/database-troubleshooting
Database Connection Troubleshooting
vmaster
io.github.wgpsec/AboutSecurity/database-tactics
数据库服务攻击方法论。当发现 Redis(6379)、MSSQL(1433)、PostgreSQL(5432)、MySQL(3306)、MongoDB(27017) 等数据库端口时使用。覆盖未授权访问、弱口令爆破、命令执行、文件读写、提权。任何涉及数据库攻击、数据库提权、数据库利用的场景都应使用此技能
vmain
io.github.bitwarden/server/writing-database-queries
Bitwarden database architecture, migrations, and dual-ORM strategy. Use when working with `.sql` files, stored procedures, EF migrations, or database schema changes. Also use when deciding whether a change needs both Dapper and EF Core implementations, or whether a breaking stored-procedure change requires `_V2` versioning.
vmain
io.github.bytedance/deer-flow/data-analysis
Use this skill when the user uploads Excel (.xlsx/.xls) or CSV files and wants to perform data analysis, generate statistics, create summaries, pivot tables, SQL queries, or any form of structured data exploration. Supports multi-sheet Excel workbooks, aggregation, filtering, joins, and exporting results to CSV/JSON/Markdown.
vmain
io.github.DenchHQ/DenchClaw/crm
Manage DuckDB CRM data, aggressive relation-linked fields, and synced markdown documents in the workspace. Use when creating or updating objects, fields, entries, foreign-table links, row notes, or entry-linked edit logs.
vmain
io.github.GRCEngClub/claude-grc-engineering/automation-coverage-analysis
Composes week-over-week automation coverage narratives. Use when /report:automation-coverage is running. Frames the delta for leadership around time saved, quality of evidence, and forward-looking compounding value.
vmain
io.github.sickn33/antigravity-awesome-skills/database-architect
Expert database architect specializing in data layer design from scratch, technology selection, schema modeling, and scalable database architectures.
vmain
io.github.sickn33/antigravity-awesome-skills/database-cloud-optimization-cost-optimize
You are a cloud cost optimization expert specializing in reducing infrastructure expenses while maintaining performance and reliability. Analyze cloud spending, identify savings opportunities, and implement cost-effective architectures across AWS, Azure, and GCP.
vmain
io.github.sickn33/antigravity-awesome-skills/database-design
Database design principles and decision-making. Schema design, indexing strategy, ORM selection, serverless databases.
vmain
io.github.sickn33/antigravity-awesome-skills/database-migration
Master database schema and data migrations across ORMs (Sequelize, TypeORM, Prisma), including rollback strategies and zero-downtime deployments.
vmain
io.github.sickn33/antigravity-awesome-skills/database-migrations-migration-observability
Migration monitoring, CDC, and observability infrastructure
vmain
io.github.sickn33/antigravity-awesome-skills/database-migrations-sql-migrations
SQL database migrations with zero-downtime strategies for PostgreSQL, MySQL, and SQL Server. Focus on data integrity and rollback plans.