sqlserver-query-patterns

A guide to writing and improving queries for Microsoft SQL Server and Azure SQL, Microsoft's cloud database service. It covers T-SQL, indexes, stored procedures, and execution plans, which show how the database runs a query.

In plain words
What is it for?
Use it for slow-query investigations, stored procedures, index design, pagination, reports, aggregations, common table expressions, window functions, and reading estimated or actual execution plans.
Why use it?
It helps find why a query is slow and choose changes that improve performance without relying on guesswork. It also supports checking whether indexes and estimated query behavior match reality.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/iambrzdev/enterprise-agent-skills/sqlserver-query-patterns
Any agent
npx skills add iamBrzDev/enterprise-agent-skills --skill sqlserver-query-patterns
Clone the repo
git clone --depth 1 https://github.com/iamBrzDev/enterprise-agent-skills

Made for: Claude Code, Codex.

Per session 73 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,068 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00073 $0.01068
Opus 5 $0.00036 $0.00534
Sonnet 5 $0.00015 $0.00214
Haiku 4.5 $0.00007 $0.00107

Measured 2d ago against content hash 4888bfc2e41b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

sqlserver-query-patterns scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/sqlserver-query-patterns/SKILL.md · 136 lines

How it starts

The opening of the file, as written. The whole thing — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.

When to activate

  • "This query is slow" or performance issues in SQL Server
  • Writing or refactoring a Stored Procedure
  • Index design or indexing strategy
  • Reading or interpreting an execution plan
  • Pagination in SQL Server
  • Reporting queries with aggregations, CTEs, or window functions

The Optimization Workflow

  1. Know the data volume — row counts and table sizes
  2. Check existing indexes on all involved tables
  3. Write the query using set-based operations
  4. Review the estimated execution plan
  5. Identify operators above 15% cost
  6. Add or adjust indexes if needed
  7. Validate actual vs estimated rows

Index Strategy

-- Covering index: include all columns the query needs → eliminates Key Lookup
CREATE NONCLUSTERED INDEX IX_Orders_CustomerId_Covering
ON Orders (CustomerId)
INCLUDE (Status, Total, CreatedAt);

-- Filtered index: for queries that always filter by a known condition
CREATE NONCLUSTERED INDEX IXF_Orders_Pending
ON Orders (CreatedAt)
WHERE Status = 'pending';

Naming: IX_{Table}_{Columns} · Unique: UX_{Table}_{Columns} · Filtered: IXF_{Table}_{Condition}

T-SQL Patterns

-- ✅ EXISTS for existence checks
IF EXISTS (SELECT 1 FROM Orders WHERE CustomerId = @CustomerId AND Status = 'active')

-- ✅ Sargable date range (index-friendly)
WHERE CreatedAt >= '2024-01-01' AND CreatedAt < '2025-01-01'

-- ❌ Functions on indexed columns — breaks index seek
WHERE YEAR(CreatedAt) = 2024

-- ✅ Pagination
SELECT OrderId, Total, Status, CreatedAt
FROM   Orders
WHERE  CustomerId = @CustomerId
ORDER  BY CreatedAt DESC
OFFSET (@Page - 1) * @PageSize ROWS
FETCH  NEXT @PageSize ROWS ONLY;

-- ✅ CTE for readability
WITH RecentOrders AS (
    SELECT CustomerId, COUNT(*) AS OrderCount, SUM(Total) AS TotalSpent
    FROM   Orders
    WHERE  CreatedAt >= DATEADD(MONTH, -6, GETUTCDATE())
    GROUP  BY CustomerId
)
SELECT c.Name, r.OrderCount, r.TotalSpent
FROM   Customers c
JOIN   RecentOrders r ON c.Id = r.CustomerId;

Stored Procedure Template

Read the full file on GitHub · 136 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 136 lines · 73 tokens per session scan A 4888bfc2e41b

Subscribe to this mod's changes

sqlserver-query-patterns is a skill published in the GitHub repository iamBrzDev/enterprise-agent-skills (5 stars, last pushed 5mo ago), licensed MIT. It adds 73 tokens to every session and 1,068 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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