数据库
数据库管理与查询
housekeeping
bout3fiddy
Repository housekeeping workflows for AGENTS/CLAUDE architecture, progressive disclosure, and migration of legacy monolithic instruction files.
joi
damusix
"Use when building joi schemas, validating input data, defining custom types, conditional validation with .when(), cross-field references, custom error messages, or writing joi extensions. Standalone package that integrates with the @hapi ecosystem."
update
assistant-ui
Update assistant-ui and AI SDK to latest versions. Detects current versions, identifies breaking changes, and executes migrations.
ralph
snarktank
"Convert PRDs to prd.json format for the Ralph autonomous agent system. Use when you have an existing PRD and need to convert it to Ralph's JSON format. Triggers on: convert this prd, turn this into ralph format, create prd.json from this, ralph json."
atelier-typescript-drizzle-orm
martinffx
Type-safe SQL with Drizzle ORM in TypeScript. Use when defining database schemas, writing queries, setting up relations, running migrations, or working with PostgreSQL/MySQL/SQLite/Cloudflare D1/Durable Objects data layers.
atelier-typescript-effect-ts
martinffx
Type-safe functional effects with Effect-TS. Use when building applications with Effect, using Effect.gen generators, handling typed errors, managing services with Layer and Context.Tag, validating data with Schema, or managing resources with acquireRelease.
ecto-thinking
georgeguimaraes
This skill should be used when the user asks to "add a database table", "create a new context", "query the database", "add a field to a schema", "validate form input", "fix N+1 queries", "preload this association", "separate these concerns", or mentions Repo, changesets, migrations, Ecto.Multi, has_many, belongs_to, transactions, query composition, or how contexts should talk to each other.
postgres-drizzle
ccheney
Proactively apply when creating APIs, backends, or data models. Triggers on PostgreSQL, Postgres, Drizzle, database, schema, tables, columns, indexes, queries, migrations, ORM, relations, joins, transactions, SQL, drizzle-kit, connection pooling, N+1, JSONB, RLS. Use when writing database schemas, queries, migrations, or any database-related code. PostgreSQL and Drizzle ORM best practices.
structure-first
perhapsspy
Readable primary-flow–first code structuring with minimal boundaries, atomic composition, and contract-driven unit tests
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.
sqlex
go-sqlex
sqlex is a modern enhancement wrapper for Go database/sql based on jmoiron/sqlx,
webapp-sqlmap
AgentSecOps
Automated SQL injection detection and exploitation tool for web application security testing. Use when: (1) Testing web applications for SQL injection vulnerabilities in authorized assessments, (2) Exploiting SQL injection flaws to demonstrate impact, (3) Extracting database information for security validation, (4) Bypassing authentication mechanisms through SQL injection, (5) Identifying vulnerable parameters in web requests, (6) Automating database enumeration and data extraction.
forensics-osquery
AgentSecOps
SQL-powered forensic investigation and system interrogation using osquery to query operating systems as relational databases. Enables rapid evidence collection, threat hunting, and incident response across Linux, macOS, and Windows endpoints. Use when: (1) Investigating security incidents and collecting forensic artifacts, (2) Threat hunting across endpoints for suspicious activity, (3) Analyzing running processes, network connections, and persistence mechanisms, (4) Collecting system state during incident response, (5) Querying file hashes, user activity, and system configuration for compromise indicators, (6) Building detection queries for continuous monitoring with osqueryd.
mirrord-db-branching
metalbear-co
Helps users configure mirrord.json for database branching, enabling isolated database copies for safe development and testing. Use when the user wants to set up MySQL or PostgreSQL branching, configure copy modes, IAM authentication, or manage database branches.
vespera
dev-five-git
Build APIs with Vespera - FastAPI-like DX for Rust/Axum. Covers route handlers, Schema derivation, and OpenAPI generation.
mirrord-config
metalbear-co
Helps users generate, edit, and validate mirrord.json configuration files for mirrord (MetalBear). Use when the user wants to connect their local process to a Kubernetes environment, configure features (env/fs/network), or needs feedback on an existing mirrord.json. Always ensures output JSON is valid and schema-conformant.
api-pagination
aj-geddes
Implement efficient pagination strategies for large datasets using offset/limit, cursor-based, and keyset pagination. Use when returning collections, managing large result sets, or optimizing query performance.
AI Discoverability Audit v2 — The Signal Audit
BrianRWagner
© 2026 Brian Wagner. Available at shopclawmart.com
testing-dbt-models
AltimateAI
Adds schema tests and data quality validation to dbt models. Use when working with dbt tests for: (1) Adding or modifying tests in schema.yml files (2) Task mentions "test", "validate", "data quality", "unique", "not_null", or "accepted_values" (3) Ensuring data integrity - primary keys, foreign keys, relationships (4) Debugging test failures or understanding why dbt test failed Matches existing project test patterns and YAML style before adding new tests.
optimizing-query-by-id
AltimateAI
Optimizes Snowflake query performance using query ID from history. Use when optimizing Snowflake queries for: (1) User provides a Snowflake query_id (UUID format) to analyze or optimize (2) Task mentions "slow query", "optimize", "query history", or "query profile" with a query ID (3) Analyzing query performance metrics - bytes scanned, spillage, partition pruning (4) User references a previously run query that needs optimization Fetches query profile, identifies bottlenecks, returns optimized SQL with expected improvements.
debugging-dbt-errors
AltimateAI
Debugs and fixes dbt errors systematically. Use when working with dbt errors for: (1) Task mentions "fix", "error", "broken", "failing", "debug", "wrong", or "not working" (2) Compilation Error, Database Error, or test failures occur (3) Model produces incorrect output or unexpected results (4) Need to troubleshoot why a dbt command failed Reads full error, checks upstream first, runs dbt build (not just compile) to verify fix.
optimizing-query-text
AltimateAI
Optimizes Snowflake SQL query performance from provided query text. Use when optimizing Snowflake SQL for: (1) User provides or pastes a SQL query and asks to optimize, tune, or improve it (2) Task mentions "slow query", "make faster", "improve performance", "optimize SQL", or "query tuning" (3) Reviewing SQL for performance anti-patterns (function on filter column, implicit joins, etc.) (4) User asks why a query is slow or how to speed it up
rust-webapp
arsenyinfo
Build full-stack web applications using Rust (Axum + SQLx) with HTMX + Alpine.js frontend and Neon (serverless PostgreSQL). Use when asked to create web apps, CRUD apps, dashboards, forms, or any stateful web application. Triggers on requests like "build a todo app", "create a voting app", "make a dashboard", "build a blog", etc.
Intelligence Layer Skill
markus41
AnythingLLM Documentation