Token导航 LogoToken导航TokenDH.com
开发external-servicegithub未标认证来源可访问许可证需确认审计通过

sqlserversqlserver 命令行

Agent Skill

sqlserver 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

1,063

周安装

43

GitHub Stars

12

下载量

334
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:sqlserver(sqlserver 命令行)
来源仓库:https://github.com/claude-dev-suite/claude-dev-suite
仓库路径:skills/sqlserver
安装命令:
npx skills add https://github.com/claude-dev-suite/claude-dev-suite --skill sqlserver
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/claude-dev-suite/claude-dev-suite --skill sqlserver

简介

用于处理 GitHub 仓库、Issue 和 Pull Request 等协作信息。

  • 适合在需要跟踪代码变更或分析任务状态时使用。
  • 通过命令行工具集成到开发工作流中。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。
  • 使用前应确认权限范围,避免触发不必要的网络请求。
  • sqlserver 属于开发类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

SQL Server Core Knowledge

Deep Knowledge: Use mcp__documentation__fetch_docs with technology: sqlserver for comprehensive documentation.

Data Types

Numeric Types

TypeDescriptionRange
BITBoolean (0/1)0, 1, NULL
TINYINT1 byte integer0 to 255
SMALLINT2 byte integer-32,768 to 32,767
INT4 byte integer-2^31 to 2^31-1
BIGINT8 byte integer-2^63 to 2^63-1
DECIMAL(p,s)Fixed precisionp: 1-38 digits
NUMERIC(p,s)Same as DECIMALp: 1-38 digits
FLOAT8 byte float~15 digits precision
REAL4 byte float~7 digits precision
MONEY8 byte currency±922 trillion
SMALLMONEY4 byte currency±214,748

String Types

TypeDescriptionMax Size
CHAR(n)Fixed-length8,000 bytes
VARCHAR(n)Variable-length8,000 bytes
VARCHAR(MAX)Large variable2 GB
NCHAR(n)Unicode fixed4,000 chars
NVARCHAR(n)Unicode variable4,000 chars
NVARCHAR(MAX)Unicode large1 GB
TEXTLegacy large (deprecated)2 GB
NTEXTLegacy Unicode (deprecated)1 GB

Date/Time Types

TypeDescriptionRange
DATEDate only0001-01-01 to 9999-12-31
TIME(n)Time only (n=0-7 precision)00:00:00 to 23:59:59
DATETIMEDate + time1753-01-01 to 9999-12-31
DATETIME2(n)Extended datetime0001-01-01 to 9999-12-31
DATETIMEOFFSET(n)With timezoneSame + timezone
SMALLDATETIMELess precision1900-01-01 to 2079-06-06

Other Types

TypeDescription
UNIQUEIDENTIFIER16-byte GUID
BINARY(n)Fixed binary
VARBINARY(n)Variable binary
VARBINARY(MAX)Large binary (2 GB)
XMLXML data
JSONJSON (stored as NVARCHAR)
GEOGRAPHYSpatial data
GEOMETRYGeometric data
HIERARCHYIDHierarchy position
CREATE TABLE example (
    id INT IDENTITY(1,1) PRIMARY KEY,
    uuid UNIQUEIDENTIFIER DEFAULT NEWID(),
    name NVARCHAR(100) NOT NULL,
    price DECIMAL(10,2),
    quantity INT DEFAULT 0,
    is_active BIT DEFAULT 1,
    created_at DATETIME2 DEFAULT SYSDATETIME(),
    metadata NVARCHAR(MAX),  -- For JSON
    document VARBINARY(MAX)  -- For files
);

Identity Columns

-- Auto-increment
CREATE TABLE employees (
    id INT IDENTITY(1,1) PRIMARY KEY,
    name NVARCHAR(100)
);

-- Get last identity
SELECT SCOPE_IDENTITY();      -- Current scope
SELECT @@IDENTITY;            -- Any scope (avoid)
SELECT IDENT_CURRENT('employees');  -- Specific table

-- Insert with identity off
SET IDENTITY_INSERT employees ON;
INSERT INTO employees (id, name) VALUES (100, 'Admin');
SET IDENTITY_INSERT employees OFF;

-- Reseed identity
DBCC CHECKIDENT ('employees', RESEED, 0);

Sequences (2012+)

-- Create sequence
CREATE SEQUENCE dbo.OrderSeq
    AS INT
    START WITH 1
    INCREMENT BY 1
    MINVALUE 1
    NO MAXVALUE
    NO CYCLE
    CACHE 20;

-- Use sequence
INSERT INTO orders (id, customer_id)
VALUES (NEXT VALUE FOR dbo.OrderSeq, 1);

-- In DEFAULT
ALTER TABLE orders
ADD CONSTRAINT df_order_id DEFAULT (NEXT VALUE FOR dbo.OrderSeq) FOR id;

-- Get current without incrementing
SELECT current_value FROM sys.sequences WHERE name = 'OrderSeq';

-- Reset sequence
ALTER SEQUENCE dbo.OrderSeq RESTART WITH 1;

Date/Time Functions

-- Current date/time
SELECT GETDATE();           -- DATETIME
SELECT SYSDATETIME();       -- DATETIME2 (more precise)
SELECT GETUTCDATE();        -- UTC datetime
SELECT SYSUTCDATETIME();    -- UTC datetime2
SELECT SYSDATETIMEOFFSET(); -- With timezone

-- Date parts
SELECT YEAR(GETDATE());
SELECT MONTH(GETDATE());
SELECT DAY(GETDATE());
SELECT DATEPART(QUARTER, GETDATE());
SELECT DATENAME(WEEKDAY, GETDATE());  -- 'Monday'

-- Date arithmetic
SELECT DATEADD(DAY, 7, GETDATE());     -- Add 7 days
SELECT DATEADD(MONTH, -1, GETDATE());  -- Subtract 1 month
SELECT DATEDIFF(DAY, '2024-01-01', GETDATE());  -- Days between

-- Format (2012+)
SELECT FORMAT(GETDATE(), 'yyyy-MM-dd');
SELECT FORMAT(GETDATE(), 'dd/MM/yyyy HH:mm:ss');

-- Parse
SELECT CAST('2024-01-15' AS DATE);
SELECT CONVERT(DATETIME, '01/15/2024', 101);  -- US format
SELECT PARSE('15 January 2024' AS DATE);

-- First/last of month
SELECT DATEADD(MONTH, DATEDIFF(MONTH, 0, GETDATE()), 0);  -- First of month
SELECT EOMONTH(GETDATE());  -- Last of month (2012+)

String Functions

-- Concatenation
SELECT 'Hello' + ' ' + 'World';
SELECT CONCAT('Hello', ' ', 'World');
SELECT CONCAT_WS(' ', 'Hello', 'World', NULL);  -- With separator, ignores NULL

-- Substring
SELECT SUBSTRING('Hello World', 1, 5);  -- 'Hello'
SELECT LEFT('Hello World', 5);          -- 'Hello'
SELECT RIGHT('Hello World', 5);         -- 'World'

-- Length
SELECT LEN('Hello');     -- 5 (chars, trims trailing spaces)
SELECT DATALENGTH('Hello');  -- 5 (bytes)

-- Case
SELECT UPPER('hello');
SELECT LOWER('HELLO');

-- Trim
SELECT TRIM('  hello  ');
SELECT LTRIM('  hello');
SELECT RTRIM('hello  ');
SELECT TRIM('x' FROM 'xxxhelloxxx');  -- 2017+

-- Replace
SELECT REPLACE('hello', 'l', 'L');
SELECT STUFF('Hello World', 7, 5, 'SQL');  -- 'Hello SQL'

-- Position
SELECT CHARINDEX('o', 'Hello World');      -- 5
SELECT CHARINDEX('o', 'Hello World', 6);   -- 8 (start from 6)

-- Padding
SELECT RIGHT('0000000000' + '123', 10);    -- '0000000123'
SELECT FORMAT(123, '0000000000');          -- 2012+

-- Split (2016+)
SELECT value FROM STRING_SPLIT('a,b,c', ',');

-- Aggregate strings (2017+)
SELECT STRING_AGG(name, ', ') FROM employees;
SELECT STRING_AGG(name, ', ') WITHIN GROUP (ORDER BY name) FROM employees;

JSON Support

-- JSON functions (2016+)
DECLARE @json NVARCHAR(MAX) = '{"name":"John","age":30,"address":{"city":"NYC"}}';

-- Extract values
SELECT JSON_VALUE(@json, '$.name');           -- 'John'
SELECT JSON_VALUE(@json, '$.address.city');   -- 'NYC'
SELECT JSON_QUERY(@json, '$.address');        -- '{"city":"NYC"}'

-- Check if valid JSON
SELECT ISJSON(@json);  -- 1

-- Modify JSON
SELECT JSON_MODIFY(@json, '$.age', 31);
SELECT JSON_MODIFY(@json, '$.email', 'john@example.com');

-- Parse JSON array
DECLARE @arr NVARCHAR(MAX) = '[{"id":1,"name":"A"},{"id":2,"name":"B"}]';
SELECT * FROM OPENJSON(@arr) WITH (id INT, name NVARCHAR(50));

-- Generate JSON
SELECT id, name, email
FROM employees
FOR JSON AUTO;  -- Auto-structure

SELECT id, name, email
FROM employees
FOR JSON PATH, ROOT('employees');  -- Custom structure

Index Types

-- Clustered index (one per table, defines physical order)
CREATE CLUSTERED INDEX IX_emp_id ON employees(id);

-- Non-clustered index
CREATE NONCLUSTERED INDEX IX_emp_email ON employees(email);

-- Unique index
CREATE UNIQUE INDEX IX_emp_email ON employees(email);

-- Composite index
CREATE INDEX IX_emp_dept_name ON employees(department_id, last_name);

-- Included columns (covering index)
CREATE INDEX IX_emp_email ON employees(email)
INCLUDE (first_name, last_name, phone);

-- Filtered index
CREATE INDEX IX_active_emp ON employees(email)
WHERE is_active = 1;

-- Columnstore index (analytics)
CREATE COLUMNSTORE INDEX IX_sales_cs ON sales(product_id, amount, sale_date);
-- Or clustered columnstore
CREATE CLUSTERED COLUMNSTORE INDEX IX_sales_ccs ON sales;

-- Full-text index
CREATE FULLTEXT CATALOG ft_catalog;
CREATE FULLTEXT INDEX ON documents(content) KEY INDEX PK_documents;

Table Partitioning

-- 1. Create partition function
CREATE PARTITION FUNCTION pf_sales_date (DATE)
AS RANGE RIGHT FOR VALUES ('2022-01-01', '2023-01-01', '2024-01-01');

-- 2. Create partition scheme
CREATE PARTITION SCHEME ps_sales_date
AS PARTITION pf_sales_date
TO (fg_2021, fg_2022, fg_2023, fg_2024);

-- 3. Create partitioned table
CREATE TABLE sales (
    id INT IDENTITY(1,1),
    sale_date DATE,
    amount DECIMAL(10,2),
    CONSTRAINT PK_sales PRIMARY KEY (id, sale_date)
) ON ps_sales_date(sale_date);

-- View partitions
SELECT
    $PARTITION.pf_sales_date(sale_date) AS partition_number,
    COUNT(*) AS row_count
FROM sales
GROUP BY $PARTITION.pf_sales_date(sale_date);

-- Split partition (add new)
ALTER PARTITION SCHEME ps_sales_date NEXT USED fg_2025;
ALTER PARTITION FUNCTION pf_sales_date() SPLIT RANGE ('2025-01-01');

-- Merge partitions
ALTER PARTITION FUNCTION pf_sales_date() MERGE RANGE ('2022-01-01');

-- Switch partition (instant move)
ALTER TABLE sales SWITCH PARTITION 1 TO sales_archive;

Temporal Tables (2016+)

-- Create temporal table
CREATE TABLE employees (
    id INT PRIMARY KEY,
    name NVARCHAR(100),
    salary DECIMAL(10,2),
    -- System time columns
    valid_from DATETIME2 GENERATED ALWAYS AS ROW START,
    valid_to DATETIME2 GENERATED ALWAYS AS ROW END,
    PERIOD FOR SYSTEM_TIME (valid_from, valid_to)
)
WITH (SYSTEM_VERSIONING = ON (HISTORY_TABLE = dbo.employees_history));

-- Query historical data
SELECT * FROM employees FOR SYSTEM_TIME AS OF '2024-01-01';
SELECT * FROM employees FOR SYSTEM_TIME BETWEEN '2024-01-01' AND '2024-06-01';
SELECT * FROM employees FOR SYSTEM_TIME ALL;

-- Disable versioning for maintenance
ALTER TABLE employees SET (SYSTEM_VERSIONING = OFF);
-- ... maintenance ...
ALTER TABLE employees SET (SYSTEM_VERSIONING = ON (HISTORY_TABLE = dbo.employees_history));

Common Table Expressions

-- Basic CTE
;WITH emp_stats AS (
    SELECT department_id, COUNT(*) AS emp_count, AVG(salary) AS avg_salary
    FROM employees
    GROUP BY department_id
)
SELECT d.name, es.emp_count, es.avg_salary
FROM departments d
JOIN emp_stats es ON d.id = es.department_id;

-- Recursive CTE
;WITH hierarchy AS (
    -- Anchor
    SELECT id, name, manager_id, 0 AS level
    FROM employees WHERE manager_id IS NULL
    UNION ALL
    -- Recursive
    SELECT e.id, e.name, e.manager_id, h.level + 1
    FROM employees e
    JOIN hierarchy h ON e.manager_id = h.id
)
SELECT * FROM hierarchy OPTION (MAXRECURSION 100);

Pagination

-- OFFSET-FETCH (2012+)
SELECT id, name, email
FROM employees
ORDER BY id
OFFSET 20 ROWS
FETCH NEXT 10 ROWS ONLY;

-- With variable
DECLARE @PageNum INT = 3, @PageSize INT = 10;
SELECT id, name, email
FROM employees
ORDER BY id
OFFSET (@PageNum - 1) * @PageSize ROWS
FETCH NEXT @PageSize ROWS ONLY;

-- ROW_NUMBER (older method)
;WITH numbered AS (
    SELECT *, ROW_NUMBER() OVER (ORDER BY id) AS rn
    FROM employees
)
SELECT * FROM numbered WHERE rn BETWEEN 21 AND 30;

When NOT to Use This Skill

  • T-SQL programming - Use tsql skill for stored procedures, functions, triggers
  • PostgreSQL - Use postgresql skill for PostgreSQL-specific features
  • Oracle - Use oracle skill for Oracle features
  • Basic SQL - Use sql-fundamentals for ANSI SQL basics

Anti-Patterns

Anti-PatternProblemSolution
Not using SET NOCOUNT ONNetwork overheadAdd to all stored procedures
Using cursorsSlow performanceUse set-based operations
Missing clustered indexHeap scansAdd clustered index
Not using INCLUDE in indexesKey lookupsUse covering indexes
Using deprecated TEXT/NTEXTCompatibility issuesUse VARCHAR(MAX)/NVARCHAR(MAX)
@@IDENTITY instead of SCOPE_IDENTITYWrong identity valueUse SCOPE_IDENTITY()

Quick Troubleshooting

ProblemDiagnosticFix
Slow queriesSET STATISTICS IO ONAdd indexes, check execution plan
Blockingsp_who2 or Activity MonitorKill blocking process, optimize
DeadlocksExtended Events, trace flag 1222Consistent access order, shorter transactions
Identity issuesDBCC CHECKIDENTReseed or use SCOPE_IDENTITY
TempDB contentionCheck wait statsAdd TempDB files, optimize queries

Reference Documentation

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

37.6%
按下载量换算126

Claude

30.31%
按下载量换算101

Cursor

16.88%
按下载量换算56

Gemini CLI

9.97%
按下载量换算33

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills