For AI Agents
Use these instructions to set up chkit in a user’s project and prepare the first schema migration.
To delegate setup, paste the prompt below into your coding agent.
Copy this prompt
Section titled “Copy this prompt”Paste this into your coding agent to start setup:
Set up chkit (ClickHouse schema management) in this repo. First fetchhttps://chkit.obsessiondb.com/ai-agents.md and follow the instructions there:ask me the setup questions, install the agent skill, scaffold the config,recommend any plugins this project needs, and walk me through the firstmigration. Don't apply anything to the database without confirming with me first.Append .md to a documentation URL to read Markdown, such as /ai-agents.md. Find page URLs in /llms.txt.
What chkit is
Section titled “What chkit is”Use chkit to define ClickHouse schemas in TypeScript or Python, generate migration SQL, and check the live database for drift. Use the ingest plugin to sync API data with TypeScript readers.
Run chkit through shell commands. Install the agent skills for command and authoring guidance.
Step 1: Ask the user before scaffolding
Section titled “Step 1: Ask the user before scaffolding”Ask these three questions before scaffolding. Use the answers to select the commands.
-
New project or existing project?
- New / empty directory → scaffold from a curated example with
create-chkit(Step 3a). - Existing TypeScript project → install chkit and run
chkit initin place (Step 3b). - Existing Python project →
pip install chkit-py, thenchkit initin place (config and schema are written as.pyfiles; plugins ship inside chkit-py).
- New / empty directory → scaffold from a curated example with
-
Is there an existing ClickHouse database with tables to manage?
- Yes → add
@chkit/plugin-pulland introspect the live tables into schema files, so the user starts from real tables instead of the blank example (Step 5). - No → keep the scaffolded example schema and edit it to match the first table.
- Yes → add
-
How should chkit connect to a database? Use the CLI’s four connection options:
- Claim a free ObsessionDB dev instance: requires the user’s email and a one-time code from their inbox.
- Already have an ObsessionDB account: log in and pick a service.
- Already have a ClickHouse instance: connect with environment variables.
- Configure later: scaffold only; the user wires up the connection themselves.
Step 2: Install the agent skill
Section titled “Step 2: Install the agent skill”Install the skill for CLI and schema authoring instructions:
chkit skills add obsessiondb/chkit --skill chkitThe skill installs into the project’s agent directory (for example .claude/skills/chkit/ or .agents/skills/chkit/). On an interactive chkit init, chkit also detects the active agent and offers to install the skill automatically.
Authoring API sync sources
Section titled “Authoring API sync sources”For TypeScript API sync, install the focused authoring skill:
chkit skills add obsessiondb/chkit --skill chkit-ingestionIt guides decisions about raw versus shaped data, transformations, pagination, incremental state, and loaders, then links to the relevant docs. Start with the API sync quickstart; each guide explains when to use its alternatives. API sync requires a direct clickhouse connection; the workbench executor alone is insufficient. See skill installation and usage.
Step 3: Scaffold based on the answers
Section titled “Step 3: Scaffold based on the answers”3a. New project: create-chkit
Section titled “3a. New project: create-chkit”create-chkit downloads a curated example and wires it to the user’s package manager. Pass a target directory and an example to skip the prompts:
bun create chkit@latest my-chkit-app --example hellohello is the small default schema (two tables, one migration). Pass --example clickbench for the full ClickBench dataset load.
It then runs the same connect flow as chkit init (Step 4). Drive it non-interactively with --connect <choice> (and --email for the claim path), or --skip-onboarding to scaffold only.
3b. Existing project: chkit init
Section titled “3b. Existing project: chkit init”Install chkit as a dev dependency, then initialize in the current directory:
bun add -d chkit @chkit/corechkit initchkit init writes clickhouse.config.ts and src/db/schema/example.ts, and installs missing chkit packages. Running it again preserves existing files.
Without a TTY, init prints the connect runbook (Step 4) instead of prompting. Pass --yes to skip onboarding in CI, or --connect <choice> to drive a specific path.
Edit src/db/schema/example.ts to match the requested table before running generate. For an existing database, follow Step 5 to import its schema.
Step 4: Connect a database
Section titled “Step 4: Connect a database”Map the answer from question 3 to commands. Both chkit init and create-chkit accept the same flags, so you can drive any path without a TTY:
| Choice | Flag | What to run |
|---|---|---|
| Claim a free ObsessionDB dev instance | --connect claim --email <you@example.com> | Two steps: see below. Needs a code emailed to the user. |
| Existing ObsessionDB account | --connect account | chkit obsessiondb login |
| Existing ClickHouse instance | --connect clickhouse | Set CLICKHOUSE_URL (and CLICKHOUSE_USER / CLICKHOUSE_PASSWORD / CLICKHOUSE_DB) |
| Configure later | --connect later or --yes | Nothing: scaffold only |
The claim path is two steps and needs a human in the loop, because the code arrives by email:
chkit obsessiondb signup --email <you@example.com> # sends a one-time code# ask the user for the code from their inbox, then:chkit obsessiondb signup --email <you@example.com> --code <CODE>chkit obsessiondb service claim # provisions the free dev instanceKeep obsessiondb() registered in clickhouse.config.ts for connected paths. Claiming and account login use its remote executor. For non-ObsessionDB ClickHouse targets, the plugin strips the storage_policy table setting, since ObsessionDB’s storage policies don’t exist there.
Step 5: Pull existing tables (only if the user has a populated database)
Section titled “Step 5: Pull existing tables (only if the user has a populated database)”If the user answered yes to question 2, import the existing schema. Add the plugin, register it, and introspect:
bun add -d @chkit/plugin-pull# register pull() in the plugins array of clickhouse.config.tschkit pullThis writes schema files from the live tables, so generate diffs against what already exists rather than recreating tables. See @chkit/plugin-pull for options.
Step 6: First migration
Section titled “Step 6: First migration”Once the schema reflects what the user wants:
chkit generate --name init # diff schema against the last snapshot → migration SQLchkit migrate # plan pending migrations (nothing is applied)chkit migrate --apply # apply — only after the user confirms the SQLchkit status # report applied vs pending migrationschkit check # CI gate: pending, checksums, drift, pluginsWhich plugins to recommend
Section titled “Which plugins to recommend”In TypeScript, plugins are npm packages registered in the plugins array of clickhouse.config.ts; in Python they ship inside chkit-py and are registered in clickhouse.config.py. Recommend only what the project needs:
| If the project needs to… | Recommend | Notes |
|---|---|---|
| Adopt chkit on an existing ClickHouse database | @chkit/plugin-pull | Introspects the live database into local schema files so the user starts from real tables, not a blank example. |
| Generate typed row models: TypeScript types (and optional Zod schemas), or Pydantic models in Python: from the schema | @chkit/plugin-codegen | Keeps application row types in sync with the schema definitions. |
| Backfill historical data into materialized views | @chkit/plugin-backfill | Time-windowed loads with checkpoints, for large or resumable backfills. |
| Ingest application API data into ClickHouse | @chkit/plugin-ingest | TypeScript only; finite pulls with journaled checkpoints and an external scheduler. |
| Deploy to ObsessionDB | @chkit/plugin-obsessiondb | ObsessionDB connection and service selection; strips the storage_policy table setting when targeting non-ObsessionDB ClickHouse. |
Install plugins for the project’s stated requirements.
Guardrails
Section titled “Guardrails”chkit applies DDL to real databases. Treat the following as hard rules unless the user explicitly overrides them:
Machine-readable output
Section titled “Machine-readable output”Every command accepts --json for structured output you can parse instead of scraping stdout. Use it when you need to act on results programmatically:
chkit status --jsonchkit check --jsonchkit migrate --json # plan as JSON; add --apply to executeRead debug logging from stderr (CHKIT_DEBUG=1) and --json output from stdout.
Related pages
Section titled “Related pages”- Add to an existing project: the human-facing version of the setup flow
- Start with an example: scaffold a new project from a curated example
- CLI reference: every command, flag, and JSON output shape
- Schema DSL: define tables, views, and materialized views
- Plugins overview: how plugins register and hook in
- CI/CD guide: wire
chkit checkinto a pipeline gate