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Mssql Server

Community
damusix
mssql-server

Writes, optimizes, and debugs T-SQL queries. Explains SQL Server internals, troubleshoots performance issues, and guides database administration tasks including backup/restore, high availability, security, and index design. Use when the user asks about T-SQL syntax, SQL Server administration, query performance, stored procedures, indexes, locking, transactions, backup/restore, high availability, security, or any MSSQL-related topic — even without saying 'SQL Server' explicitly. Also trigger on terms like SSMS, tempdb, bcp, sqlcmd, MSSQL, sp_executesql, NOLOCK, columnstore, Hekaton, RCSI, param sniffing, or execution plan.

Overview

Publisherdamusix
Repositoryskills
Skill namemssql-server
Stars
63
Forks
3
Bundled files
54
Links
Skill sourceRepository
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 54 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by damusix on GitHub. Read the source before you install it.

Installation

Install the Mssql Server AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/damusix/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/mssql-server .claude/skills/mssql-server
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Mssql Server in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Mssql Server on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Mssql Server is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

MSSQL Server Skill

How to use this skill

  1. Identify the topic using the routing table below (keyword → file mapping).
  2. Read the relevant reference file(s). Never answer from memory alone when a reference file covers the topic.
  3. Cross-cutting questions — identify ALL matching rows and read each file. Check "See Also" sections for additional files.
  4. Ambiguous keywords — read the "Disambiguation" column. When in doubt, load both files.
  5. Response format: Lead with code/pattern, follow with caveats in admonition blocks, end with source links.

Quick Examples

-- Basic filtered query with pagination
SELECT CustomerName, Email
FROM Customer
WHERE Status = 'Active'
ORDER BY CustomerName
OFFSET 0 ROWS FETCH NEXT 25 ROWS ONLY;

-- Create a covering index
CREATE NONCLUSTERED INDEX IX_Customer_Status
ON Customer(Status) INCLUDE (CustomerName, Email);

Routing Table

Keywords / TriggersFileScopeDisambiguation
CREATE TABLE, ALTER TABLE, DROP, schema, sequence, synonym, computed columnreferences/01-syntax-ddl.mdDDL syntax reference
SELECT, JOIN, subquery, UNION, INTERSECT, EXCEPT, window function, PIVOT, UNPIVOT, APPLY, OFFSET FETCH, paginationreferences/02-syntax-dql.mdDQL / query syntax
INSERT, UPDATE, DELETE, MERGE, OUTPUT clause, upsertreferences/03-syntax-dml.mdDML syntax & patterns
CTE, WITH, recursive CTE, anchor member, MAXRECURSIONreferences/04-ctes.mdCTEs (recursive & non-recursive)
VIEW, indexed view, SCHEMABINDING, partitioned view, WITH CHECK OPTIONreferences/05-views.mdViews
stored procedure, param sniffing, TVP, output param, EXECUTE AS user, impersonation, security contextreferences/06-stored-procedures.mdStored proceduresOPTION RECOMPILE: here for proc-level usage; see also 32 for query-level hint. EXECUTE AS: here for proc context; see also 15 for server/db principals
function, scalar UDF, inline TVF, multi-statement TVF, determinism, UDF inliningreferences/07-functions.mdUser-defined functions
index, clustered, nonclustered, covering index, include columns, fill factor, fragmentation, heap, forwarded record, rebuild, reorganize, B-tree structurereferences/08-indexes.mdIndex design & maintenancemissing index: here for DMV queries and index design; see also 32 for broader perf diagnostics
columnstore, delta store, rowgroup, batch mode, tuple mover, segment eliminationreferences/09-columnstore-indexes.mdColumnstore indexes
partition, partition function, partition scheme, partition switching, sliding window, STATISTICS_INCREMENTALreferences/10-partitioning.mdTable partitioning
user-defined type, CLR type, table type, alias type, spatial, geometry, geography, sparse columnreferences/11-custom-data-types.mdCustom data types
CHECK constraint, DEFAULT constraint, UNIQUE constraint, foreign key, cascade, referential integrity, functional constraint, cross-database constraint, cross-schema, computed column indexreferences/12-custom-defaults-rules.mdConstraints & defaults
transaction, isolation level, SNAPSHOT, RCSI, READ_COMMITTED_SNAPSHOT, ALLOW_SNAPSHOT_ISOLATION, MVCC, row versioning, lock escalation, lock hint, NOLOCK, UPDLOCK, ROWLOCKreferences/13-transactions-locking.mdTransactions & lockingdeadlock: here for theory, prevention, lock mechanics; see also 33 for XE deadlock graph capture. wait stats: here for lock-related waits; see also 32 for full wait stats diagnostics
TRY CATCH, THROW, RAISERROR, error handling, savepoint, @@TRANCOUNT, XACT_ABORTreferences/14-error-handling.mdError handling
login, user, role, server principal, database principal, GRANT, DENY, REVOKE, permission, ownership chaining, application rolereferences/15-principals-permissions.mdPrincipals & permissionsEXECUTE AS: here for principal impersonation; see also 06 for proc-level EXECUTE AS
RLS, row-level security, dynamic data masking, TDE, Always Encrypted, column encryption, certificate, DDM, encryption algorithm, AES, RSA, CEK, CMK, key rotation, HSMreferences/16-security-encryption.mdSecurity & encryption
temporal table, system-versioned, AS OF, time travel, FOR SYSTEM_TIME, retention policyreferences/17-temporal-tables.mdTemporal tables
In-Memory OLTP, Hekaton, memory-optimized table, natively compiled, hash index, range index, durabilityreferences/18-in-memory-oltp.mdIn-Memory OLTP
JSON, XML, FOR JSON, FOR XML, OPENJSON, JSON_VALUE, JSON_QUERY, JSON_MODIFY, XQuery, XML indexreferences/19-json-xml.mdJSON & XML
full-text search, FTS, CONTAINS, FREETEXT, CONTAINSTABLE, FREETEXTTABLE, semantic search, stopword, thesaurusreferences/20-full-text-search.mdFull-text & semantic search
graph table, node table, edge table, MATCH, SHORTEST_PATH, multi-hop, graph traversalreferences/21-graph-tables.mdGraph tables
ledger table, append-only ledger, updatable ledger, digest, ledger verification, blockchainreferences/22-ledger-tables.mdLedger tables
dynamic SQL, sp_executesql, SQL injection, parameterized query, dynamic WHERE, EXECreferences/23-dynamic-sql.mdDynamic SQL
string function, date function, math function, STRING_AGG, CONCAT_WS, FORMAT, DATEADD, DATEDIFF, AT TIME ZONE, datetime2, datetimeoffset, TRIM, TRANSLATEreferences/24-string-date-math-functions.mdBuilt-in functions reference
NULL, ISNULL, COALESCE, NULLIF, three-valued logic, IS DISTINCT FROM, nullable indexreferences/25-null-handling.mdNULL handling
collation, case-sensitive, accent-sensitive, COLLATE clause, collation conflict, Latin1_General, BIN2references/26-collation.mdCollation
cursor, FAST_FORWARD, KEYSET, STATIC, DYNAMIC, FORWARD_ONLY, cursor anti-patternreferences/27-cursors.mdCursors
statistics, auto-update, ascending key, histogram, DBCC SHOW_STATISTICS, UPDATE STATISTICS, filtered statisticsreferences/28-statistics.mdStatistics
execution plan, SHOWPLAN, STATISTICS IO, STATISTICS TIME, Index Seek, Key Lookup, Hash Join, Nested Loop, cardinality, plan warning, implicit conversionreferences/29-query-plans.mdQuery plans
Query Store, regressed query, forced plan, PSPO, parameter-sensitive plan, CE feedbackreferences/30-query-store.mdQuery Storewait stats: here for QS-integrated wait stats; see also 32 for server-level wait stats
IQP, Intelligent Query Processing, memory grant feedback, batch mode on rowstore, interleaved execution, DOP feedback, table variable deferred compilation, approximate countreferences/31-intelligent-query-processing.mdIntelligent Query Processing
wait stats, missing index DMV, plan cache, OPTION RECOMPILE, MAXDOP hint, sp_Blitz, sp_BlitzCache, sp_BlitzFirst, sp_BlitzIndex, FORCESEEK, FORCESCANreferences/32-performance-diagnostics.mdPerformance diagnosticsOPTION RECOMPILE: here for query hint usage; see also 06 for proc-level param sniffing. missing index: here for perf triage; see also 08 for index design decisions
Extended Events, XE session, deadlock graph, blocking detection, ring buffer, event file, sys.dm_xereferences/33-extended-events.mdExtended Eventsdeadlock graph: here for XE capture mechanics; see also 13 for deadlock theory and prevention
tempdb, TF 1117, TF 1118, GAM, SGAM, PFS, allocation latch, temp table, table variable, version storereferences/34-tempdb.mdtempdb
DBCC, CHECKDB, FREEPROCCACHE, DROPCLEANBUFFERS, SHRINKFILE, SHRINKDATABASE, UPDATEUSAGE, INPUTBUFFER, OPENTRANreferences/35-dbcc-commands.mdDBCC commands
data compression, ROW compression, PAGE compression, COLUMNSTORE compression, sp_estimate_data_compression_savingsreferences/36-data-compression.mdData compression
CDC, Change Data Capture, Change Tracking, CT, ETL, cdc.fn_cdc_get_all_changes, CHANGETABLEreferences/37-change-tracking-cdc.mdChange Tracking & CDC
SQL Server Audit, SERVER AUDIT, audit specification, compliance, SOX, HIPAA, PCI-DSS, audit logreferences/38-auditing.mdAuditing
trigger, DML trigger, DDL trigger, logon trigger, AFTER, INSTEAD OF, inserted, deleted, COLUMNS_UPDATEDreferences/39-triggers.mdTriggers
Service Broker, SSB, queue, SEND, RECEIVE, dialog conversation, activation, message type, contract, pub/subreferences/40-service-broker-queuing.mdService Broker & queuing
replication, snapshot replication, transactional replication, merge replication, publisher, distributor, subscriber, replication agentreferences/41-replication.mdReplication
database snapshot, AS SNAPSHOT OF, sparse file, REVERT, consistent readreferences/42-database-snapshots.mdDatabase snapshots
Always On, Availability Group, AG, listener, readable secondary, quorum, distributed AG, contained AG, log shipping, FCI, failover clusterreferences/43-high-availability.mdHigh availability
BACKUP, RESTORE, full backup, differential, log backup, tail log, point-in-time restore, NORECOVERY, STANDBY, S3 backup, backup encryptionreferences/44-backup-restore.mdBackup & restore
linked server, four-part name, OPENQUERY, OPENDATASOURCE, distributed transaction, DTCreferences/45-linked-servers.mdLinked servers
PolyBase, external table, external data source, OPENROWSET, S3, Azure Blob, Hadoop, predicate pushdownreferences/46-polybase-external-tables.mdPolyBase & external tables
sqlcmd, bcp, sqlpackage, mssql-cli, BULK INSERT, OPENROWSET BULK, format file, dacpac, bacpac, PowerShell SQLServerreferences/47-cli-bulk-operations.mdCLI & bulk operations
Database Mail, sp_send_dbmail, mail profile, mail account, HTML mail, Agent alert notificationreferences/48-database-mail.mdDatabase Mail
sp_configure, max server memory, MAXDOP, cost threshold, Resource Governor, trace flag, NUMAreferences/49-configuration-tuning.mdConfiguration & tuningMAXDOP: here for server config; see also 32 for MAXDOP query hint
SQL Server Agent, job, job step, schedule, alert, operator, proxy, msdb, multi-serverreferences/50-sql-server-agent.mdSQL Server Agent
SQL Server 2022, ledger 2022, S3 backup 2022, contained AG 2022, IS_DISTINCT_FROM, GREATEST, LEAST, XML compressionreferences/51-2022-features.mdSQL Server 2022 features
SQL Server 2025, vector search, VECTOR type, vector index, AI features, 2025 T-SQLreferences/52-2025-features.mdSQL Server 2025 features
compatibility level, CE version, cardinality estimator, deprecated feature, upgrade, migration, contained databasereferences/53-migration-compatibility.mdMigration & compatibility
SQL Server on Linux, Docker, mssql-conf, container, Pacemaker, mssql-tools, Linux limitationsreferences/54-linux-containers.mdLinux & containers

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Mssql Server AI skill do?

Writes, optimizes, and debugs T-SQL queries. Explains SQL Server internals, troubleshoots performance issues, and guides database administration tasks including backup/restore, high availability, security, and index design. Use when the user asks about T-SQL syntax, SQL Server administration, query performance, stored procedures, indexes, locking, transactions, backup/restore, high availability, security, or any MSSQL-related topic — even without saying 'SQL Server' explicitly. Also trigger on terms like SSMS, tempdb, bcp, sqlcmd, MSSQL, sp_executesql, NOLOCK, columnstore, Hekaton, RCSI, pa...

Why use Mssql Server on TypingMind?

Because you install it once and use it with any model. Mssql Server is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Mssql Server in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/damusix/skills/tree/main/mssql-server. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Mssql Server?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Mssql Server?

As many as you like. As long as a model supports skills, you can use Mssql Server with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Mssql Server AI skill free?

It is published on GitHub by damusix. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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