tsql-functions
Complete T-SQL function reference for SQL Server and Azure SQL Database. PROACTIVELY activate for: (1) string functions (CONCAT_WS, STRING_SPLIT, STRING_AGG, TRIM, REPLACE, LEFT/RIGHT/SUBSTRING), (2) date/time functions (DATEADD, DATEDIFF, FORMAT, DATETRUNC, AT TIME ZONE), (3) math and conversion functions (CAST, CONVERT, TRY_CAST, ROUND, FLOOR, CEILING), (4) window/ranking functions (ROW_NUMBER, RANK, LEAD/LAG, FIRST_VALUE, LAST_VALUE, NTILE), (5) JSON functions (JSON_VALUE, JSON_QUERY, JSON_MODIFY, OPENJSON), (6) XML functions (FOR XML, .nodes, .value), (7) aggregate functions and GROUP BY extensions, (8) system and metadata functions (sys.* views, OBJECT_ID, OBJECT_NAME). Provides: function catalog grouped by category, version-availability matrix (SQL 2016+/2019+/2022+), and worked examples for each function family.
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npx skills add https://github.com/josiahsiegel/claude-plugin-marketplace --skill tsql-functionsIs this agent skill safe to install?
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This skill is a comprehensive documentation reference for T-SQL functions used in SQL Server and Azure SQL Database. It provides syntax, version availability, and code examples. No security risks, obfuscation, or malicious patterns were identified.
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What does this agent skill do?
T-SQL Functions Reference
Complete reference for all T-SQL function categories with version-specific availability.
Quick Reference
String Functions
| Function | Description | Version |
|---|---|---|
CONCAT(str1, str2, ...) | NULL-safe concatenation | 2012+ |
CONCAT_WS(sep, str1, ...) | Concatenate with separator | 2017+ |
STRING_AGG(expr, sep) | Aggregate strings | 2017+ |
STRING_SPLIT(str, sep) | Split to rows | 2016+ |
STRING_SPLIT(str, sep, 1) | With ordinal column | 2022+ |
TRIM([chars FROM] str) | Remove leading/trailing | 2017+ |
TRANSLATE(str, from, to) | Character replacement | 2017+ |
FORMAT(value, format) | .NET format strings | 2012+ |
Date/Time Functions
| Function | Description | Version |
|---|---|---|
DATEADD(part, n, date) | Add interval | All |
DATEDIFF(part, start, end) | Difference (int) | All |
DATEDIFF_BIG(part, s, e) | Difference (bigint) | 2016+ |
EOMONTH(date, [offset]) | Last day of month | 2012+ |
DATETRUNC(part, date) | Truncate to precision | 2022+ |
DATE_BUCKET(part, n, date) | Group into buckets | 2022+ |
AT TIME ZONE 'tz' | Timezone conversion | 2016+ |
Window Functions
| Function | Description | Version |
|---|---|---|
ROW_NUMBER() | Sequential unique numbers | 2005+ |
RANK() | Rank with gaps for ties | 2005+ |
DENSE_RANK() | Rank without gaps | 2005+ |
NTILE(n) | Distribute into n groups | 2005+ |
LAG(col, n, default) | Previous row value | 2012+ |
LEAD(col, n, default) | Next row value | 2012+ |
FIRST_VALUE(col) | First in window | 2012+ |
LAST_VALUE(col) | Last in window | 2012+ |
IGNORE NULLS | Skip NULLs in offset funcs | 2022+ |
SQL Server 2022 New Functions
| Function | Description |
|---|---|
GREATEST(v1, v2, ...) | Maximum of values |
LEAST(v1, v2, ...) | Minimum of values |
DATETRUNC(part, date) | Truncate date |
GENERATE_SERIES(start, stop, [step]) | Number sequence |
JSON_OBJECT('key': val) | Create JSON object |
JSON_ARRAY(v1, v2, ...) | Create JSON array |
JSON_PATH_EXISTS(json, path) | Check path exists |
IS [NOT] DISTINCT FROM | NULL-safe comparison |
Core Patterns
String Manipulation
-- Concatenate with separator (NULL-safe)
SELECT CONCAT_WS(', ', FirstName, MiddleName, LastName) AS FullName
-- Split string to rows with ordinal
SELECT value, ordinal
FROM STRING_SPLIT('apple,banana,cherry', ',', 1)
-- Aggregate strings with ordering
SELECT DeptID,
STRING_AGG(EmployeeName, ', ') WITHIN GROUP (ORDER BY HireDate)
FROM Employees
GROUP BY DeptID
Date Operations
-- Truncate to first of month
SELECT DATETRUNC(month, OrderDate) AS MonthStart
-- Group by week buckets
SELECT DATE_BUCKET(week, 1, OrderDate) AS WeekBucket,
COUNT(*) AS OrderCount
FROM Orders
GROUP BY DATE_BUCKET(week, 1, OrderDate)
-- Generate date series
SELECT CAST(value AS date) AS Date
FROM GENERATE_SERIES(
CAST('2024-01-01' AS date),
CAST('2024-12-31' AS date),
1
)
Window Functions
-- Running total with partitioning
SELECT OrderID, CustomerID, Amount,
SUM(Amount) OVER (
PARTITION BY CustomerID
ORDER BY OrderDate
ROWS UNBOUNDED PRECEDING
) AS RunningTotal
FROM Orders
-- Get previous non-NULL value (SQL 2022+)
SELECT Date, Value,
LAST_VALUE(Value) IGNORE NULLS OVER (
ORDER BY Date
ROWS BETWEEN UNBOUNDED PRECEDING AND 1 PRECEDING
) AS PreviousNonNull
FROM Measurements
JSON Operations
-- Extract scalar value
SELECT JSON_VALUE(JsonColumn, '$.customer.name') AS CustomerName
-- Parse JSON array to rows
SELECT j.ProductID, j.Quantity
FROM Orders
CROSS APPLY OPENJSON(OrderDetails)
WITH (
ProductID INT '$.productId',
Quantity INT '$.qty'
) AS j
-- Build JSON object (SQL 2022+)
SELECT JSON_OBJECT('id': CustomerID, 'name': CustomerName) AS CustomerJson
FROM Customers
Additional References
For deeper coverage of specific function categories, see:
references/string-functions.md- Complete string function reference with examplesreferences/window-functions.md- Window and ranking functions with frame specifications
How can the creator link this skill?
Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.
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