SQL Copilot
ChatGPT pluginWrite, debug and review SQL
SQL Copilot helps analysts, data engineers, BI teams and developers write, debug, review, adapt and tune SQL. Its focused workflows examine output grain, joins, duplicates, NULL and time semantics, SQL dialects, incremental/CDC logic, schema migrations, BI models and safe data changes. Performance advice is grounded in query-plan evidence where available. It works from the context and tools explicitly provided in the host; this skills-only plugin does not independently connect to databases or execute SQL.
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not on the featured shelf
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Rank in Developer tools
7 listing changes logged · latest Nov 4: Capabilities, Description, Skills and 4 more. See what changed
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Developer tools465th of 900 by placement
| # | Plugin | Position | 7d |
|---|---|---|---|
| 463 | #5304 | 33places up | |
| 464 | #5306 | 22places up | |
| 465 | #5307 | 23places up | |
| 466 | #5309 | 48places down | |
| 467 | #5312 | 197places up |
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12 more on the publisher’s page.
Example prompts
- “Write dialect-correct SQL for my requirement, explain the output grain and include validation checks.”
- “Debug this query and show why the results or totals are wrong, then propose a verified fix.”
- “Review this SQL change or query plan for correctness, safety and performance trade-offs.”
Skills
bi-sql-modeling
Design SQL output suitable for reporting, dimensional models and semantic layers.
data-quality-reconciliation
Create SQL checks for row integrity, uniqueness, freshness, relationships and financial/BI totals.
debug-sql-results
Find why a query returns wrong totals, too many rows, missing rows or unexpected NULLs.
explain-query-plans
Interpret user-provided SQL execution plans and warehouse query profiles.
get-started
Route SQL writing, debugging, performance, data modeling, and safe-change requests to the smallest relevant focused workflow.
incremental-cdc-merge
Design reliable incremental loads, dedup, watermarks, CDC and merge/upsert logic.
join-cardinality
Design and debug SQL joins, bridge tables, duplicate amplification and semi-join decisions.
null-and-time-semantics
Review NULL logic, time windows, timezone conversions, casts and decimal behavior.
orchestrate-sql-specialists
Coordinate real specialist agents for large SQL migrations, multi-dialect audits or high-risk changes where supported.
review-sql-correctness
Review provided SQL for semantic correctness before proposing cosmetic rewrites or optimization.
safe-sql-writes
Review and generate carefully scoped UPDATE, DELETE, INSERT and MERGE operations.
schema-migration-review
Plan and review schema/DDL changes without breaking live readers or losing data.
Show all 19Show fewer
sql-from-requirements
Write SQL from natural-language specifications with explicit grain, keys and acceptance checks.
sql-performance-review
Diagnose SQL runtime and resource cost using plans, profiles and actual workload data.
sql-security-and-access
Review SQL injection, parameters, least privilege, sensitive data and row/column policies.
test-sql-logic
Create reproducible SQL test fixtures, expected outputs and cross-engine equivalence checks.
translate-sql-dialect
Translate SQL between named database platforms while preserving semantics.
troubleshoot-sql-errors
Diagnose SQL syntax/runtime errors without mixing dialects or inventing database context.
window-ranking-dedup
Write ranking, running totals, top-N and deterministic deduplication SQL.
- Categories
- Made by
- Tekris Labs · Website
- Sign-in
- On Install
- Capabilities
- Write SQL for requirements and explain output grain, Debug joins, duplicates, aggregation and NULL logic, Translate SQL across major supported dialects, Review UPDATE, DELETE, MERGE and schema changes safely, Analyze execution plans and SQL performance evidence, Design reporting, incremental, CDC and reconciliation SQL, Build validation queries and preserve business semantics, Coordinate SQL specialists where genuine subagents exist
- Availability
- Available
- Version
- 0.2.0
- Keywords
- sql, database, query-debugging, sql-performance, data-modeling, analytics, bigquery, snowflake, databricks, data-quality
- Created
- September 23, 2026
- More info
- Sponsorship
- Promote this plugin