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Found 739 Skills
Use this skill whenever working with QuestDB — a high-performance time-series database. Trigger on any mention of QuestDB, time-series SQL with SAMPLE BY, LATEST ON, ASOF JOIN, ILP ingestion, or the questdb Python/Go/Java/Rust/.NET client libraries. Also trigger when writing Grafana queries against QuestDB, creating materialized views for time-series rollups, working with order book or financial market data in QuestDB, or any SQL that involves designated timestamps or time-partitioned tables. QuestDB extends SQL with unique time-series keywords — standard PostgreSQL or MySQL patterns will fail. Always read this skill before writing QuestDB SQL to avoid hallucinating incorrect syntax.
Use Dune MCP through UXC for blockchain table discovery, SQL query creation/execution, execution result retrieval, and visualization with help-first schema inspection, explicit auth binding, and guarded credit-consuming operations.
Diagnoses live CockroachDB cluster performance issues by identifying long-running queries, busy sessions, and active transactions using SQL-only interfaces. Use when users report cluster slowness, high CPU, or need to find runaway queries and their source applications without DB Console access.
Generate a test suite of natural-language → SQL pairs that becomes the quality benchmark for a nao agent, then run it via `nao test`. Use when the user wants to start measuring agent reliability, extend an existing test suite, or add tests for new metrics. Tests are the only honest answer to "is the context working?". Do not use for writing rules (write-context-rules) or diagnosing failures (audit-context).
Execute and manage Athena SQL queries across default and federated catalogs (Glue, S3 Tables, Redshift). Triggers on phrases like: query data, run SQL, athena query, analyze table, SQL query, workgroup status, profile table, query Redshift catalog, query S3 Tables. Do NOT use for finding specific data assets (use finding-data-lake-assets), full catalog audits (use exploring-data-catalog), importing data (use ingesting-into-data-lake).
Hacker News from your terminal — with a local SQLite store, snapshot history, and agent-native output no other HN tool has. Trigger phrases: `check hacker news`, `search hn`, `what is hn saying about`, `diff the hn front page`, `pulse on hn`, `look up hn user`, `hn who is hiring`, `hn top stories`, `use hackernews`, `run hackernews`.
Generate a Wren MDL project by exploring a database with available tools (SQLAlchemy, database drivers, MCP connectors, or raw SQL). Guides agents through schema discovery, type normalization, and MDL YAML generation using the wren CLI. Use when: user wants to create or set up a new MDL, onboard a new data source, or scaffold a project from an existing database.
Query SQLite, PostgreSQL, and MySQL databases and export results to CSV/JSON. Use when: (1) Extracting data for reports, (2) Database backup and migration, (3) Data analysis workflows, or (4) Automated database queries.
Complete idasql SQL function reference catalog. Use when looking up function signatures, parameters, or usage examples.
Execute IDAPython via idasql. Use when SQL surfaces are insufficient and direct IDA SDK access is needed via Python snippets or scripts.
Write Prisma Next queries — pick a lane (`db.orm.<Model>` for CRUD and includes, `db.sql.<table>` SQL builder for set-builder shapes the ORM doesn't express), filter / project / sort / paginate, eager-load relations with `.include(...)`, transactions via `db.transaction(...)`, aggregates via `.aggregate(...)`. Use for query, where, select, orderBy, take, skip, include, eager load, first, all, count, aggregate, create, update, delete, upsert, returning, transaction, db.transaction, drizzle-style, kysely-style, prisma client, db.close, script, script won't exit, hangs, close connection, db.end, pool.end, await using. Also covers result consumption (`.all()` is a Thenable — just `await` it; no `collect()` / `toArray()` helper needed), single-consumption semantics (`RUNTIME.ITERATOR_CONSUMED`), aggregate nullability (`count` returns `number`, `sum/avg/min/max` return `number | null` per SQL semantics), and range conditions (chain `.where()` clauses or use `and(...)` — there is no `.between(...)`).
Audits SQL migration files for destructive actions, potential table locks, and compatibility issues. Use before applying migrations to production databases to prevent downtime and ensure data integrity.