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Configure Altimate platform credentials for datamate and API access
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| name | altimate-setup |
| description | Configure Altimate platform credentials for datamate and API access |
Guide the user through configuring their Altimate platform credentials.
Check existing config: Read ~/.altimate/altimate.json. If it exists and is valid, show the current config (mask the API key) and ask if they want to update it.
Gather credentials: Ask the user for:
https://api.myaltimate.com)megatenant)https://mcpserver.getaltimate.com/sse)Write config: Create ~/.altimate/ directory if needed, then write ~/.altimate/altimate.json:
{
"altimateUrl": "<url>",
"altimateInstanceName": "<instance>",
"altimateApiKey": "<key>",
"mcpServerUrl": "<mcp-url>"
}
Then set permissions to owner-only: chmod 600 ~/.altimate/altimate.json
Validate: Call the datamate_manager tool with operation: "list" to verify the credentials work. Report success or failure to the user.
Analyze and optimize SQL queries for better performance
Cloudflare-style AI code review for dbt/SQL pull requests. Produces a signed APPROVE/COMMENT/REQUEST_CHANGES verdict where every blocking finding is backed by a deterministic engine call — column-lineage blast radius, query equivalence, PII classification, and A–F grade. Use to review a dbt PR or the working-tree changes before merge.
REQUIRED before writing or modifying ANY dbt model. Invoke this skill FIRST whenever a task says "create", "build", "add", "modify", "update", "fix", or "refactor" a dbt model, staging file, mart, incremental, or snapshot. Skipping this skill is the leading cause of silent-correctness bugs — models that compile and `dbt build` cleanly but produce wrong values. It contains the patterns that prevent the most common such bugs encountered in real dbt projects: • Incremental high-water marks (`>=` vs `>` ties → silent row dropout) • Snapshot strategy selection (timestamp vs check, `unique_key` choice) • `LEFT JOIN + COUNT(*)` phantom rows from unmatched parents • Type harmonization in `COALESCE` / `CASE` / `UNION` legs • Date-spine completeness (every period present, even empty ones) • Off-by-one window boundaries (`BETWEEN d - (N-1) AND d` for N-wide) • Uniqueness enforcement when schema implies a key • Window-function `LIMIT` with deterministic tiebreaker • Verifying transformation correctness with dbt unit te
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