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[tissues:implementer] make-sure-the-readme-is-up-to-date-with-the-latest-merges-to-main: refresh README for v0.5.12 through v0.6.1 (#784)
Update changelog to cover the 12 releases since v0.5.11 (last README sync, 2026-03-25). Add three new Key Features entries — cross-dialect data parity, automated dbt unit tests, GitLab MR review. Add Altimate LLM Gateway, Databricks AI Gateway, Snowflake Cortex, and LM Studio to the providers list (some were already shipping but never listed). Footnote Microsoft Fabric on the warehouses line. Add capability-table row for cross-dialect data validation. Add /data-parity and /dbt-unit-tests examples to Quick demo. Enumerate the 19 built-in skills inline. Editorial defaults applied (per questions.md): Q1=footnote (b), Q2=add row (a), Q3=add 2 examples (b), Q4=one-line list (b), Q5=collapse pure-fix release v0.5.13 (a), Q6=leave benchmarks as-is (a). Reviewer can flip any of these in a follow-up commit. No code changes. CHANGELOG.md is the source of truth — bullets are condensed restatements of the entries there. Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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README.md

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| Column-level lineage | None | Automatic from SQL, any dialect |
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| Schema-aware autocomplete | None | Live-indexed warehouse metadata |
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| Cross-dialect SQL translation | None | Snowflake ↔ BigQuery ↔ Databricks ↔ Redshift |
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| Cross-dialect data validation | None | Row-by-row diff across 12 warehouses, 5 algorithms |
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| FinOps & cost analysis | None | Credits, expensive queries, right-sizing |
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| PII detection | None | 30+ regex patterns, 15 categories |
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| dbt integration | Basic file editing | Manifest parsing, test gen, model scaffolding, lineage |
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# Get a cost report for your Snowflake account
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> /cost-report
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# Compare a Snowflake table to a BigQuery copy, row-by-row, without moving data
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> /data-parity prod.orders (Snowflake) vs. analytics.orders (BigQuery), id key
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# Generate dbt 1.8 unit tests for a model with CASE/WHEN and JOINs
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> /dbt-unit-tests for models/marts/fct_revenue.sql
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```
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## Key Features
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### AI Teammate Training
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Teach your AI teammate project-specific patterns, naming conventions, and best practices. The training system learns from examples and applies rules automatically across sessions.
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### Cross-Dialect Data Parity
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Compare tables or query results row-by-row across 12 warehouses with the `/data-parity` skill or `data_diff` tool. Five algorithms — `auto`, `joindiff`, `hashdiff` (any-scale, no data egress), `profile` (column-stats only), and `cascade`. Date / numeric / categorical partitioning so 100M+ row tables diff in independent batches. Auto-discovers comparable columns and excludes audit/timestamp columns by name and catalog default.
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### Automated dbt Unit Tests
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Generate dbt 1.8+ unit tests from your terminal with `/dbt-unit-tests` or the `dbt_unit_test_gen` tool. Detects testable SQL constructs (CASE/WHEN, JOINs, NULLs, window functions, division, incremental models) and assembles complete YAML with type-correct mock data across 7 dialects.
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### GitLab MR Review
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Review merge requests directly from your terminal with `altimate gitlab review <MR_URL>`. Self-hosted GitLab instances and nested group paths supported. Comment deduplication updates an existing review instead of posting duplicates. Companion to the existing GitHub PR review flow.
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## Agent Modes
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Each mode has scoped permissions, tool access, and SQL write-access control.
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## Supported Warehouses
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Snowflake · BigQuery · Databricks · PostgreSQL · Redshift · ClickHouse · DuckDB · MySQL · SQL Server · Oracle · SQLite · MongoDB
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Snowflake · BigQuery · Databricks · PostgreSQL · Redshift · ClickHouse · DuckDB · MySQL · SQL Server (incl. Microsoft Fabric) · Oracle · SQLite · MongoDB
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First-class support with schema indexing, query execution, and metadata introspection. SSH tunneling available for secure connections.
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## Works with Any LLM
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Model-agnostic — bring your own provider or run locally.
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Anthropic · OpenAI · Google Gemini · Google Vertex AI · Amazon Bedrock · Azure OpenAI · Mistral · Groq · DeepInfra · Cerebras · Cohere · Together AI · Perplexity · xAI · OpenRouter · Ollama · GitHub Copilot
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Altimate LLM Gateway · Anthropic · OpenAI · Google Gemini · Google Vertex AI · Amazon Bedrock · Azure OpenAI · Databricks AI Gateway · Snowflake Cortex · Mistral · Groq · DeepInfra · Cerebras · Cohere · Together AI · Perplexity · xAI · OpenRouter · LM Studio · Ollama · GitHub Copilot
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## Skills
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altimate ships with built-in skills for every common data engineering task — type `/` in the TUI to browse available skills and get autocomplete. No memorization required.
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altimate ships with 19 built-in skills — type `/` in the TUI to browse and get autocomplete. No memorization required.
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`/sql-review` · `/sql-translate` · `/data-parity` · `/pii-audit` · `/cost-report` · `/lineage-diff` · `/query-optimize` · `/data-viz` · `/dbt-develop` · `/dbt-test` · `/dbt-unit-tests` · `/dbt-docs` · `/dbt-analyze` · `/dbt-troubleshoot` · `/schema-migration` · `/teach` · `/train` · `/training-status` · `/altimate-setup`
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## Community & Contributing
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## Changelog
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- **v0.6.1** (April 2026) — BigQuery finops multi-region support and column-name fixes
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- **v0.6.0** (April 2026) — `data_diff` cross-dialect data parity (12 warehouses, 5 algorithms), MSSQL/Microsoft Fabric support, Databricks AI Gateway provider (11 foundation models)
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- **v0.5.21** (April 2026) — automated dbt unit test generation (`/dbt-unit-tests`, dbt 1.8+, 7 dialects), dialect-aware `sql_explain`
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- **v0.5.20** (April 2026) — Altimate model auto-selection, connection-string password URL-encoding, trace pagination
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- **v0.5.19** (April 2026) — `${VAR}` env-var interpolation in configs, atomic trace file writes
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- **v0.5.18** (April 2026) — native GitLab MR review (`altimate gitlab review`), Altimate LLM Gateway provider, glob tool hardening, MCP config normalization
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- **v0.5.17** (April 2026) — custom `DBT_PROFILES_DIR` resolution, ClickHouse driver hardening
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- **v0.5.16** (March 2026) — ClickHouse warehouse driver, agent loop detection
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- **v0.5.15** (March 2026) — plan-agent two-step approach + refinement, feature discovery, SQL classifier security hardening
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- **v0.5.14** (March 2026) — MongoDB driver, skill follow-up suggestions, Verdaccio sanity suite, `upstream_fix:` marker convention
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- **v0.5.12** (March 2026) — `altimate-dbt` auto-discover config (Windows-compatible), local E2E sanity test harness
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- **v0.5.11** (March 2026) — `altimate-code check` CLI command, data-viz improvements, Codespaces support, session tracing, 52 CI test fix
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- **v0.5.7** (March 2026) — impact analysis tool, training import, CI check command, `--max-turns` budget, LM Studio provider
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- **v0.5.6** (March 2026) — skill CLI & TUI management, GitHub skill install, Snowflake Cortex provider

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