h5i-dev

Use when working with an h5i-db database — an embedded, versioned time-series database for quant research, driven by the `h5i-db` CLI or the `h5i_db` Python package. Covers creating a database and loading Parquet or CSV tick data, orienting in an existing one, querying it (SQL, ASOF joins, OHLCV/VWAP rollups, time travel) under a context budget, running look-ahead-free backtests, and previewing destructive changes before they land.

Cut context tokens by rendering it as images. `ctx2img paint <path|->` turns any text-shaped input (a repo, a directory, a file, markdown, stdin) into dense images that carry the full text at 60-75% fewer tokens, with stable handles and a verbatim factsheet; `ctx2img read` recovers guaranteed-exact text. Use before ingesting any large text or at the START of any task in an unfamiliar or large repo.