Analyze and optimize SQL queries for better performance
AltimateAI/altimate-code
SkillsMP has collected 21 skills from AltimateAI/altimate-code. Open a skill to review its source and details.
- Latest recorded source activity
- SkillsMP catalog refreshed
- skills collected
- 21
- GitHub stars
- 791
- GitHub forks
- 136
Skills in this repository
Showing 21 of 21 collected skills.
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,…
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…
REQUIRED after building or modifying ANY dbt model that has columns declared in `schema.yml` / `_models.yml`. Run `altimate-dbt schema-verify --model <name>` to diff actual columns against the spec, and treat any `mismatch` verdict as "not done." The most…
Generate dbt unit tests automatically for any model. Analyzes SQL logic (CASE/WHEN, JOINs, window functions, NULLs), creates type-correct mock inputs from manifest schema, and assembles complete YAML. Use when a user says "generate tests", "add unit tests",…
Validate that two tables or query results are identical — or diagnose exactly how they differ. Discover schema, identify keys, profile cheaply, then diff. Use for migration validation, ETL regression, and query refactor verification.
Add schema tests, unit tests, and data quality checks to dbt models. Use when validating data integrity, adding test definitions to schema.yml, writing unit tests, or practicing test-driven development in dbt. Powered by altimate-dbt.
Analyze downstream impact of dbt model changes using column-level lineage and the dependency graph. Use when evaluating the blast radius of a change before shipping. Powered by altimate-dbt.
Document dbt models and columns in schema.yml with business context — model descriptions, column definitions, and doc blocks. Use when adding or improving documentation for discoverability. Powered by altimate-dbt.
Debug dbt errors — compilation failures, runtime database errors, test failures, wrong data, and performance issues. Use when something is broken, producing wrong results, or failing to build. Powered by altimate-dbt.
Build modern, interactive data visualizations and dashboards using code-based component libraries (shadcn/ui, Recharts, Tremor, Nivo, D3, Victory, visx). Use this skill whenever the user asks to visualize data, build dashboards, create analytics views, chart…
Translate SQL queries between database dialects (Snowflake, BigQuery, PostgreSQL, MySQL, etc.)
Configure Altimate platform credentials for datamate and API access
Analyze Snowflake query costs and identify optimization opportunities
Classify schema columns for PII (SSN, email, phone, name, address, credit card) and check whether queries expose them. Use for GDPR/CCPA/HIPAA compliance audits.
Analyze DDL migrations for data loss risks — type narrowing, missing defaults, dropped constraints, breaking column changes. Use before applying schema changes to production.
Pre-merge SQL quality gate — lint 26 anti-patterns, grade readability/performance A-F, validate syntax, and scan for injection threats. Use before committing or reviewing SQL changes.
Teach your AI teammate a pattern by showing it an example file from your codebase
Train your AI teammate on team standards from a document or style guide
Show what your AI teammate has learned — patterns, rules, glossary, and standards
Compare column-level lineage between two versions of a SQL query to show added, removed, and changed data flow edges.