数据库
数据库管理与查询
dynamodb
itsmostafa
AWS DynamoDB NoSQL database for scalable data storage. Use when designing table schemas, writing queries, configuring indexes, managing capacity, implementing single-table design, or troubleshooting performance issues.
prisma-driver-adapter-implementation
prisma
Required reference for Prisma v7 driver adapter work. Use when implementing or modifying adapters, adding database drivers, or touching SqlDriverAdapter/Transaction interfaces. Contains critical contract details not inferable from code examples — including the transaction lifecycle protocol, error mapping requirements, and verification checklist. Existing implementations do not replace this skill.
prisma-postgres
prisma
Prisma Postgres setup and operations guidance across Console, create-db CLI, Management API, and Management API SDK. Use when creating Prisma Postgres databases, working in Prisma Console, provisioning with create-db/create-pg/create-postgres, or integrating programmatic provisioning with service tokens or OAuth.
model-management
pollinations
"Add, update, rename, reroute, price, or remove Pollinations text, image, video, audio, embeddings, realtime, OCR, SVG, and 3D models. Use for model research, provider changes, capability or public-endpoint edits, and model PRs."
analyzing-disk-image-with-autopsy
mukul975
Perform comprehensive forensic analysis of disk images using Autopsy to recover files, examine artifacts, and
planning
open-metadata
Use when starting a non-trivial feature, refactor, or multi-file change. Forces structured design thinking before writing any code - brainstorm approaches, get approval, then create a step-by-step implementation plan.
playwright-migration
zebbern
Step-by-step migration guides for moving to Playwright from Cypress or Selenium/WebDriver — command mappings, architecture changes, and incremental adoption strategies.
database-scout
zebbern
"Explore SQLite and PostgreSQL databases: list tables, inspect schemas (columns/types/constraints), preview data, generate Mermaid ER diagrams, and run safe read-only queries. Triggered by requests to explore a database, view table structures, describe tables, generate diagrams, or query data, and by keywords like database exploration, schema, ER diagram, or SQL query."
database-optimizer
zebbern
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.
sql-insight
zebbern
"Translate natural language to SQL, optimize query performance, and interpret EXPLAIN plans for SQLite and PostgreSQL. Triggered when users ask to convert questions into SQL, improve slow queries, tune indexes, analyze execution plans, or mention keywords like NL2SQL, query tuning, or full table scan."
data-table-manager
n8n-io
Load before calling data-tables or parse-file. Use for natural standalone requests like "what data tables do I have?", "show/list my tables", or "what columns are in this table?", and whenever the user asks to list, show, create, inspect, import, seed, query, update, clean up, rename columns in, or delete data tables and rows, especially from CSV/XLSX/JSON attachments. Also load before building or planning workflows that create or write to Data Tables (then load workflow-builder before build-workflow).
n8n:public-api
n8n-io
Adds, migrates, or updates n8n Public API v1 endpoints with @PublicApiController — public DTOs, API-key and RBAC scopes, cursor pagination, OpenAPI + coverage wiring, and tests. Use when working under packages/cli/src/public-api/v1/ or when exposing an existing service through /api/v1.
n8n:db-migrations
n8n-io
Authors n8n database migrations. Use when creating or modifying files under packages/@n8n/db/src/migrations/, when the user asks to add a column, table, index, foreign key, or backfill, or when the user mentions DB migrations or TypeORM migrations.
drizzle
triggerdotdev
Use this skill when writing or modifying Drizzle ORM schemas, queries, or migrations in this repo — specifically the @internal/dashboard-agent-db package (the dashboard agent's conversation datastore). Covers pg-core schema definition, the postgres-js driver, drizzle-kit migrations, and this repo's conventions: a dedicated Postgres schema, foreign-key-free cross-database design, pooler-safe connections, and the access-pattern query layer. Drizzle is NOT the main database — that's Prisma.
trigger-authoring-chat-agent
triggerdotdev
Author and run a durable AI chat agent with chat.agent from @trigger.dev/sdk/ai: the per-turn run loop, why you MUST spread ...chat.toStreamTextOptions() first, returning a StreamTextResult vs calling chat.pipe(), the two server actions (chat.createStartSessionAction + auth.createPublicToken), and wiring useChat to useTriggerChatTransport. Load this when building, modifying, or debugging a chat backend (the agent task or its lifecycle hooks) or its React transport, when declaring typed tools or custom data parts, or when migrating a plain AI SDK streamText route to chat.agent.
metabase-data-app-actions
metabase
Use when a Metabase data app needs to trigger a write or mutation — submitting a form, updating a row, deleting an entry, running a saved action, or any "do something" interaction. Covers invoking an existing action via useAction, parameter typing, response handling, and the critical post-action refresh of any UI data the action may have changed.
serdes-workflow
metabase
Export content from a running Metabase instance, validate with checkers, edit YAML, and import back. Use when the user wants to export, import, or run the full serdes round-trip workflow.
prisma-database-setup
prisma
Guides for configuring Prisma with different database providers (PostgreSQL, MySQL, SQLite, MongoDB, etc.). Use when setting up a new project, changing databases, or troubleshooting connection issues. Triggers on "configure postgres", "connect to mysql", "setup mongodb", "sqlite setup".
prisma-client-api
prisma
Prisma Client API reference covering model queries, filters, operators, and client methods. Use when writing database queries, using CRUD operations, filtering data, or configuring Prisma Client. Triggers on "prisma query", "findMany", "create", "update", "delete", "$transaction".
cpu-profile
ClickHouse
Profile a ClickHouse query using the sampling query profiler and system.trace_log. Use when the user wants to find CPU hotspots, analyze where time is spent in a query, or investigate performance bottlenecks.
create-test-datasets
ClickHouse
Create test datasets (hits, visits, tpcds, tpch) from standard scripts. Ensures the server is running first.
exploring-llm-traces
PostHog
Debug and inspect LLM/AI agent traces using PostHog's MCP tools. Use when the user pastes a trace or session URL (e.g. /ai-observability/traces/<id> or /ai-observability/sessions/<id>), asks to debug a trace, figure out what went wrong, check if an agent used a tool correctly, verify context/files were surfaced, inspect subagent behavior, investigate LLM decisions, or analyze token usage and costs. Also use when raw SQL/HogQL against events.properties.$ai_input / $ai_output_choices returns empty — message content lives only on the dedicated posthog.ai_events table.
querying-tophog
PostHog
Query tophog — the ingestion pipeline's heavy-hitter store in ClickHouse — to identify hot or expensive actors (team_id, distinct_id, session_id, partition) during incident triage. Use when investigating ingestion lag, a hot or lagging Kafka partition, expensive person processing, merge storms, or any "which team or distinct_id is causing this" question. Covers the internal Metabase access path (SSO via hogli), the tophog schema, and the cost-vs-volume query lens. Internal-only: results contain cross-customer identifiers.
modeling-activation-metrics
PostHog
Build reusable activation models — an activation-rate metric and a per-user/per-account activated flag — on either PostHog data-warehouse views (HogQL) or an external dbt project. Use when the user wants to define, model, or measure activation, the "aha moment", onboarding success, or which early actions predict a user sticking around. The core idea this skill enforces: activation is NOT a single assumed event — it is a retention-validated combination of early actions, chosen by balancing reach (enough users hit it) against predictive power (those who hit it retain much better). Covers finding candidate actions, validating them against retention lift, count thresholds and action combinations, per-product and B2B group-level activation, and modeling the winning definition as a durable activated-flag + activation-rate model. Read modeling-warehouse-foundations first; composes modeling-product-usage-metrics for the retention validation.