postgresql-best-practices

작성자: microsoft

지능형 라우팅을 갖춘 전문 PostgreSQL 스킬입니다. 일반 PostgreSQL과 Azure Database for PostgreSQL을 모두 다룹니다.

npx skills add https://github.com/microsoft/postgres-skills --skill postgresql-best-practices

PostgreSQL Agent Skills — Routing Table

Use references as supplemental context — combine them with your PostgreSQL knowledge. If reference guidance is incomplete, answer with appropriate caveats rather than inventing details.

Key Constraints

  • Never use ALTER SYSTEM on managed services — use portal/CLI/ARM instead
  • Never assume SUPERUSER — use azure_pg_admin (Azure) or equivalent managed role
  • Use CONCURRENTLY for CREATE INDEX / REINDEX / DETACH PARTITION in production
  • postgres_mcp_modify does NOT return row data (no RETURNING support)
  • Destructive DDL confirmation: Before executing postgres_mcp_modify with DROP, TRUNCATE, DELETE (without WHERE), or ALTER TABLE ... DROP, always ask the user for explicit confirmation. List the affected objects and warn about data loss before proceeding.
  • Version-gated features: MERGE (PG 15+), json_table (PG 17+), DETACH CONCURRENTLY (PG 14+)

Managed Service Guardrails (Azure Flexible Server and Azure HorizonDB)

When the context is Azure Database for PostgreSQL (either flavor), NEVER suggest:

  • File paths: pg_hba.conf, postgresql.conf, /var/lib/postgresql/ — not accessible. Never run SHOW config_file, SHOW hba_file, or SHOW data_directory (internal paths, irrelevant on managed services).
  • OS commands: systemctl, sudo, pg_basebackup, pg_ctl, initdb — no OS-level access
  • ALTER SYSTEM SET — blocked on Azure. Use the control-plane parameter API instead (Flexible Server: az postgres flexible-server parameter set; HorizonDB: parameter groups / az horizondb) or the portal.
  • ALTER DATABASE SET for server-wide parameters — permitted, but prefer the control-plane parameter API (az postgres flexible-server parameter set on Flexible Server; a parameter group connected to the cluster on HorizonDB) for changes like work_mem, shared_buffers, max_connections. Use ALTER DATABASE SET only for an explicit per-database override, and clarify scope first.
  • Manual replication setup — use Azure read replicas (Flexible Server: az postgres flexible-server replica create; HorizonDB: add a read replica to the cluster)
  • Manual backup/restore — do NOT suggest pg_dump/pg_basebackup as the primary strategy. Lead with Azure PITR (creates a new server/cluster); use pg_dump only for cross-platform migration or selective export.

Instead, always use Azure equivalents: portal, az CLI, ARM/Bicep, or server parameters API.

Flavor split: on Azure HorizonDB the same guardrails hold, but the control plane is az horizondb / a parameter group connected to the cluster / Microsoft.HorizonDB ARM (api-version 2026-01-20-preview) — never az postgres flexible-server. Each azure-* reference has an On Azure HorizonDB section with the deltas.


Shell Execution Policy (az CLI)

When guidance needs Azure CLI and shell access exists:

  • Run once per session:
    az version
    az account show --query "{subscription:id, name:name, tenant:tenantId, user:user.name}" -o json
    
  • If az account show fails, ask the user to run az login or az login --use-device-code. Do not run login automatically.
  • Execute non-destructive az commands directly.
  • NEVER execute destructive az CLI commands without explicit user confirmation. Before running delete, restart, upgrade, failover, stop-replication, or PITR restore, state what will happen (including expected downtime) and ask "Do you want me to proceed?" Wait for a yes before executing.
  • Always pass --subscription <id>.
  • If target server or resource group is unknown, always discover before prompting the user:
    az postgres flexible-server list --query "[].{name:name, resourceGroup:resourceGroup, location:location, version:version}" -o table
    
    Use the discovered resourceGroup and name; ask the user only if multiple servers make the target ambiguous.
  • If shell access is unavailable, provide numbered manual commands.

Connection Context Detection

On first activation:

  1. If an MCP connection exists, call postgres_mcp_get_server_capabilities once and cache isAzure.
  2. isAzure: true → all skills available; prefer azure-postgresql-* for overlapping topics.
  3. isAzure: false → use only postgresql-* skills.
  4. No connection + generic question → use postgresql-* skills.
  5. No connection + explicit Azure question → answer conceptually with: "These steps require an active Azure PostgreSQL connection to execute." Apply all Azure guardrails (no ALTER SYSTEM, no file paths, no OS commands) even without isAzure confirmation — if the user says "Azure PostgreSQL", treat it as Azure.
  6. Unknown state → attempt capability check only for clearly Azure-specific requests; otherwise default to generic PostgreSQL skills.
  7. Azure flavor (Flexible Server vs HorizonDB) — when isAzure: true, read the connection host and cache azureFlavor: *.horizondb.azure.comAzure HorizonDB (Preview); *.postgres.database.azure.comFlexible Server. On HorizonDB, follow the On Azure HorizonDB section of the matching azure-* reference (HorizonDB control plane, not az postgres flexible-server). Several Flexible-Server-only features (built-in PgBouncer, VNet injection, geo/cross-region replicas, configurable backup retention, CMK, intelligent tuning, major-version upgrade) are not yet available on HorizonDB — say so instead of emitting Flexible Server steps.

PostgreSQL Skills (always available)

These skills apply to any PostgreSQL deployment — self-hosted, RDS, Cloud SQL, Azure, or local.

Keyword triggersReferenceWhen to use
pgvector, vector column, HNSW index, embedding store, similarity search, cosine distance, vector index, nearest neighbor, pgvector extensionpostgresql-vector-searchpgvector setup, HNSW indexes, distance operators, recall tuning
RAG, embeddings postgresql, semantic search pgvector, hybrid search RRF, reciprocal rank fusion, vector + full text, retrieval augmented, RAG systempostgresql-genai-ragRAG pipelines, hybrid search with RRF, chunking strategy
CREATE EXTENSION, pg_stat_statements, pg_trgm, shared_preload_libraries, manage extensions, extension install, install extension, install thepostgresql-extensionsExtension install/upgrade, common extensions, troubleshooting
btree index, gin index, gist index, brin index, partial index, covering index, CREATE INDEX, multicolumn index, index bloat, index strategypostgresql-advanced-indexingB-tree, GIN, GiST, BRIN, partial/expression/covering indexes
jsonb, json containment, GIN jsonb_ops, jsonb_path_query, document store postgresql, jsonb index, -> operator, ->> operatorpostgresql-jsonb-patternsJSONB operators, indexing strategies, query patterns
table partition, range partition, list partition, hash partition, pg_partman, partition pruning, detach partition, 500M rows, large table time-series, detach a partitionpostgresql-table-partitioningDeclarative partitioning, partition pruning, maintenance
row level security, RLS policy, tenant isolation, CREATE POLICY, FORCE ROW LEVEL SECURITY, multi-tenant, enabled RLSpostgresql-row-level-securityCREATE POLICY, per-tenant isolation, session variables
tsvector, tsquery, full text search, ts_rank, websearch_to_tsquery, text search configuration, search functionality, autocomplete search, autocomplete, prefix searchpostgresql-full-text-searchtsvector/tsquery, GIN indexes, ranking, hybrid search
connection pool, max_connections, too many clients, too many connections, idle connections, PgBouncer, connection exhaustionpostgresql-connection-managementPool sizing, PgBouncer modes, connection lifetime
logical replication, publication, subscription, CDC postgres, pg_logical, wal_level logical, replicate tables, replication slot, WAL filling, replicate specific tablespostgresql-replicationLogical replication setup, row filters (PG15+), conflict resolution
slow query, EXPLAIN ANALYZE, query plan, work_mem tuning, vacuum analyze, autovacuum tuning, query performancepostgresql-query-performanceEXPLAIN reading, statistics tuning, vacuum, parallel query

Azure PostgreSQL Skills (requires isAzure: true)

GATE: Only use these when postgres_mcp_get_server_capabilities confirms isAzure: true. For conceptual questions without a connection, provide informational answers with a disclaimer.

Keyword triggersReferenceWhen to use INSTEAD OF generic
DiskANN, pg_diskann, filtered vector search, azure vector index tuning, vector search azure, HNSW indexes azureazure-postgresql-vector-diskannUser needs DiskANN (Azure-only), filtered vector search, or is on Azure and needs index advice
azure_ai, azure_openai, ai.complete, in-database embeddings, LLM from SQL, generate embeddings SQL, call AI from SQL, connect azure openai, AI functions from SQL, classify using AI, AI directly in SQL, call GPT from database, call OpenAI from SQL, invoke AI from postgres, run inference in database, ML in PostgreSQL azure, summarize text SQL, sentiment analysis SQLazure-postgresql-azure-aiUser wants to call LLMs/embeddings directly from SQL (azure_ai extension)
azure_ai RAG, in-database RAG pipeline, azure_openai.create_embeddings + search, RAG azure_ai, embeddings without leaving database, batch-embed, RAG system, embed the user, entire RAG pipeline inside, generate embeddings forazure-postgresql-genai-patternsUser wants end-to-end RAG using azure_ai (in-DB embeddings). If app-driven RAG on Azure, use generic postgresql-genai-rag instead
azure.extensions, allowlist, extension on Azure, azure_pg_admin, extension Flexible Server, install extension azure, permission denied extension azure, permission denied to create extensionazure-postgresql-extension-lifecycleExtension install ON AZURE (allowlist workflow). Generic postgresql-extensions covers non-Azure
Entra ID, managed identity, service principal, passwordless auth, AAD token, Entra ID postgres, token-based connection, token expirazure-postgresql-entra-id-authAzure-specific auth only. No generic equivalent.
built-in PgBouncer, azure connection pooling, pool_mode azure Flexible Server, connection pooling azureazure-postgresql-connection-poolingAzure built-in PgBouncer. Generic postgresql-connection-management covers standalone PgBouncer
provision Flexible Server, az postgres create, resize azure postgres, Burstable, GeneralPurpose, MemoryOptimized, IOPS scaling, Terraform azure postgres, create azure postgres, max_connections azure, scale down, scale storage, shrink storage, scale up, change tier, change SKU, increase compute, increase vCores, upgrade tier, server configuration, compute tier, storage tier, resize server, server sizingazure-postgresql-provisioningAzure-specific. No generic equivalent.
zone redundant HA, zone-redundant, failover azure, PITR, read replica azure, geo-restore, backup azure postgres, high availability azure postgres, same-zone HAazure-postgresql-ha-disaster-recoveryAzure HA/DR. No generic equivalent.
Private Link, VNet, firewall rule azure, SSL azure, TLS azure, public access azure, private endpoint postgres, network access azure, can't connect, connection refused azure, SSL connection is required, certificate verify failed, connection timeout azure, network connectivity azure, allow IP, whitelist IPazure-postgresql-networking-sslAzure networking. No generic equivalent.
Query Store, index recommendations, performance insights, intelligent tuning, query performance azure, slow queries azure, indexes Azure PostgreSQL recommendsazure-postgresql-intelligent-tuningAzure-specific monitoring. Generic postgresql-query-performance covers EXPLAIN-based tuning
major version upgrade, maintenance window, in-place upgrade, MVU, upgrade postgres azure, schedule maintenance, upgrade my Azure PostgreSQL, upgrade from versionazure-postgresql-upgrades-maintenanceAzure-specific. No generic equivalent.

Azure quick-reference (when isAzure: true):

  • Tier: SELECT current_setting('azure.server_tier', true);
  • Allowlist: SHOW azure.extensions;
  • az ... parameter set --value replaces the full list; fetch current values first.

Graph Workloads (Apache AGE)

For anything involving a property graph on PostgreSQL, route to the sibling pg-graph skill: Apache AGE, openCypher, ag_catalog, knowledge graphs, ontology, graph traversal, and natural language to Cypher. That skill owns AGE setup, the ag_catalog.cypher() wrapping contract, graph schema introspection, and retrieval that combines vectors with graph traversal. Keep AGE specific guidance there rather than duplicating it here.


Quick Decision Tree

  • Vector or similarity → azure-postgresql-vector-diskann on Azure, otherwise postgresql-vector-search. When isAzure: true and the user asks about vector indexes without specifying an index type, recommend DiskANN as the preferred option alongside HNSW.
  • RAG or GenAI → azure-postgresql-genai-patterns only for in-database azure_ai; otherwise postgresql-genai-rag
  • Extensions → Azure uses azure-postgresql-extension-lifecycle; non-Azure uses postgresql-extensions
  • Connection pooling → Azure built-in pooler uses azure-postgresql-connection-pooling; otherwise postgresql-connection-management
  • Azure-only topics like Entra ID, provisioning, HA, networking, upgrades → route to matching azure-* skill only when isAzure: true
  • Generic topics like indexing, JSONB, partitioning, RLS, FTS, replication → use postgresql-*
  • Graph topics like Apache AGE, openCypher, ag_catalog, knowledge graphs, ontology, graph traversal → route to the pg-graph skill

Global Anti-Hallucination Policy

  1. Verify Azure-specific claims with live checks like SHOW, pg_settings, or pg_available_extensions when possible.
  2. State uncertainty explicitly instead of guessing.
  3. Do not extrapolate beyond documented versions, tiers, or providers.
  4. Treat generic skills as supplements, not scripts.

microsoft의 다른 스킬

oss-growth
microsoft
OSS 성장 해커 페르소나
agent-framework-azure-ai-py
microsoft
Microsoft Agent Framework Python SDK(agent-framework-azure-ai)를 사용하여 Azure AI Foundry 에이전트를 구축합니다. AzureAIAgentsProvider로 지속적 에이전트를 만들 때, 호스팅 도구(코드 인터프리터, 파일 검색, 웹 검색)를 사용할 때, MCP 서버를 통합할 때, 대화 스레드를 관리할 때, 또는 스트리밍 응답을 구현할 때 사용합니다. 함수 도구, 구조화된 출력, 다중 도구 에이전트를 다룹니다.
development
airunway-aks-setup
microsoft
Set up AI Runway on AKS — from bare cluster to running model. Covers cluster verification, controller install, GPU assessment, provider setup, and first deployment. WHEN: "setup AI Runway", "onboard AKS cluster", "install AI Runway", "airunway setup", "deploy model to AKS", "GPU inference on AKS", "KAITO setup on AKS", "run LLM on AKS", "vLLM on AKS", "set up model serving on AKS", "AI Runway controller".
devops
appinsights-instrumentation
microsoft
Azure Application Insights로 웹앱을 계측하기 위한 지침입니다. 원격 분석 패턴, SDK 설정, 구성 참조를 제공합니다. WHEN: 앱 계측 방법, App Insights SDK, 원격 분석 패턴, App Insights란 무엇인가, Application Insights 지침, 계측 예시, APM 모범 사례.
devops
applicationinsights-web-ts
microsoft
브라우저/웹 앱을 Application Insights JavaScript SDK(@microsoft/applicationinsights-web)로 계측합니다. Real User Monitoring(RUM) — 페이지 뷰, 클릭, AJAX/fetch 종속성, 예외, 사용자 지정 이벤트, 백엔드 OpenTelemetry 트레이스와 상관관계가 있는 브라우저 측 GenAI 에이전트 트레이스에 사용합니다. SDK Loader Script 및 npm 설정, 프레임워크 확장(React, React Native, Angular), Click Analytics, 텔레메트리 이니셜라이저, 브라우저에서 생성된 에이전트/도구/모델 스팬에 대한 OTel GenAI 의미론적 규칙을 다룹니다.
devops
azure-ai-anomalydetector-java
microsoft
Azure AI Anomaly Detector SDK for Java로 이상 탐지 애플리케이션을 구축하세요. 단변량/다변량 이상 탐지, 시계열 분석 또는 AI 기반 모니터링을 구현할 때 사용하세요.
development
azure-ai-language-conversations-py
microsoft
azure-ai-language-conversations Python SDK를 사용하여 대화형 언어 이해(CLU)를 구현합니다. ConversationAnalysisClient로 대화 의도와 엔터티를 분석하거나, NLP 기능을 구축하거나, 애플리케이션에 언어 이해를 통합할 때 사용합니다.
development
azure-ai-ml-py
microsoft
Azure Machine Learning SDK v2 for Python. ML 작업 영역, 작업, 모델, 데이터 세트, 컴퓨팅 및 파이프라인에 사용합니다. 트리거: "azure-ai-ml", "MLClient", "workspace", "model registry", "training jobs", "datasets".
development