Friendly, step-by-step setup for ERD Studio in an existing dbt project, for people who may be new to dbt or data modelling. By default a quick start: checks the dbt CLI, draws one business area as an ERD Studio logical model that mirrors dbt, checks it with the ERD Studio diff until logical matches physical and opens…
Review repeated paired receptor-pMHC observations and metadata synonyms within and across VDJdb publications, preserving distinct experiments and reports. Use for a corpus audit or a submission that may overlap existing records.
Search, grep, browse, and read across registered MFS data sources via the mfs CLI — codebases, docs, PDFs, web crawls, databases (postgres/mysql/mongo/snowflake/bigquery), issue trackers (jira/linear/github), CRMs (hubspot), chat (slack/discord/gmail/feishu), object stores (s3/gdrive). Use whenever the user asks to…
Bulk-import a large RDF graph (code graph, corpus, GitHub history, etc.) into a DKG node's working memory. Use this skill when you need to push more than a few thousand triples in a single import — it codifies the chunking budgets, the assertion-loop shape, the resumability manifest, and the canonical URI rules so…
Route HugeGraph MCP regression testing tasks to the current public tool surface, including inspection, read-only queries, Gremlin generation, extraction, controlled import, schema validate/dry-run, safety guards, and admin-gated tool checks.
A workflow that turns a plain-language request for business data into a database query, runs it in a data warehouse or lake, and returns the results for analysis.
Master skill that runs the full PlanetScale safe best-practices assessment — inventory, engine review, Insights, Traffic Control, webhooks, schema recommendations, codebase instrumentation, and agent operating model — then produces a unified recommendations report. Never applies changes without explicit approval. Use…
Analyze DBSQL queries, including SQL embedded in notebooks (spark.sql(...), %sql cells), for anti-patterns, lint issues, and performance problems, using Databricks-specific dialect and platform knowledge (Delta, Photon, Unity Catalog) layered on top of altimate-code's generic SQL engine. Use when a user asks to…
Use when authoring or debugging ade-bench tasks that must run on both DuckDB and Snowflake, including shared project migrations, setup patches, and solution patches.
Guide for implementing MongoDB - a document database platform with CRUD operations, aggregation pipelines, indexing, replication, sharding, search capabilities, and comprehensive security. Use when working with MongoDB databases, designing schemas, writing queries, optimizing performance, configuring deployments…
Lints Diesel and SQLx Postgres migrations for unsafe schema changes that lock tables or cause downtime, and authors custom Rhai checks. Use when reviewing, writing, or fixing SQL migrations, when diesel-guard reports a violation, when configuring diesel-guard.toml, or when the user mentions migration safety, table…
A tool for working with Feishu Base, Feishu’s database-like tables, from the command line. It covers tables, fields, records, views, formulas, dashboards, forms, roles, and workflows.
Report observed FluidDB failures, confusing behavior or notable successes through HiveNet, including structured failed-task reports and replies to owner questions.
Structure Django models with proper Meta classes, verbose names, and optimized indexes. Use when creating or reviewing Django models to ensure consistent ordering, correct verbosename/verbosenameplural, and database indexes aligned to actual query patterns. Also registers every model in the admin with a clean…
Check SQL for silent semantic errors (fan-out double-counting, unsafe sums, wrong join keys, sensitive columns) BEFORE executing it against a database. Use whenever you are about to run a SELECT you or another model wrote — especially aggregates over joins. Deterministic, offline, 0.1 ms per check.
Supabase integration specialist. Handles database schema, authentication, Row Level Security (RLS), real-time subscriptions, and storage. Connects existing UI to real backend. Only called AFTER UI exists with mock data. Triggers: connect database, connect Supabase, add auth, make login, backend integration, real data…
Connect warehouses, BI tools (Tableau, Looker, Power BI) and custom connectors to Monte Carlo with API v2 tools: show what exists, reference credentials, create, validate and fix connections. Use to onboard platforms or generate Terraform or scripts.
Connect an unfamiliar SQLite database to Enzyme without changing the source data. Inspect the database, decide which query columns represent identity, people, time, content, and folders, show real examples for approval, save a workspace program in the Enzyme language, and verify init and refresh. Use for email…
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