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Agent Skill · 研究检索

postgres-ops(Postgres OPS 搜索)

用于辅助数据库表结构、查询语句、迁移脚本和数据维护任务。它适合让 Agent 分析 schema、编写 SQL、排查查询问题、整理索引或生成迁移建议。使用时需要明确数据库类型、连接环境和目标表,区分只读分析与写入变更;涉及删除、更新、迁移和批量导入时,应优先 dry-run、备份或事务保护,避免误操作。

postgres-ops 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证信息还不明确,第三方扫描有未通过项,按安装量在研究检索类的 73,675 个 Skill 里排第 67,439。

总安装 245周安装 10GitHub Stars 17下载 79核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:postgres-ops(Postgres OPS 搜索)
来源仓库:https://github.com/0xdarkmatter/claude-mods
仓库路径:skills/postgres-ops
安装命令:
npx skills add https://github.com/0xdarkmatter/claude-mods --skill postgres-ops
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/0xdarkmatter/claude-mods --skill postgres-ops

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于辅助数据库表结构、查询语句、迁移脚本和数据维护任务。适合分析 schema、编写 SQL、排查查询问题或生成索引优化建议。使用时需明确数据库类型和连接环境,区分只读分析与写入操作。涉及删除、更新、迁移或批量导入时,应优先 dry-run、备份或使用事务保护。

建议在安装前确认数据库版本和运维环境兼容性,避免因配置差异导致执行失败。

来源仓库内路径:skills/postgres-ops

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/0xdarkmatter/claude-mods --skill postgres-ops;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

postgres-ops 怎么安装?

在终端执行 npx skills add https://github.com/0xdarkmatter/claude-mods --skill postgres-ops。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

postgres-ops 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

postgres-ops 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

postgres-ops 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

postgres-ops 用的人多吗?

公开数据是累计安装 245 次,近一周安装 10 次,下载 79 次,GitHub 17 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

postgres-ops 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
postgres-ops

Postgres OPS 搜索 · 本页

24517接触敏感数据未明确未通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

PostgreSQL Operations

Comprehensive PostgreSQL skill covering schema design through production operations.

Quick Connection

# Standard connection
psql "postgresql://user:pass@localhost:5432/dbname"

# With SSL
psql "postgresql://user:pass@host:5432/dbname?sslmode=require"

# Environment variables (libpq)
export PGHOST=localhost PGPORT=5432 PGDATABASE=mydb PGUSER=myuser PGPASSWORD=secret
psql

# Connection pooling (pgBouncer default)
psql "postgresql://user:pass@localhost:6432/dbname"
-- Check current connection
SELECT current_database(), current_user, inet_server_addr(), inet_server_port();

-- Active connections
SELECT count(*) FROM pg_stat_activity WHERE state = 'active';

Index Type Selection

What query pattern are you optimizing?
│
├─ Equality (WHERE col = val)
│  └─ B-tree (default, almost always right)
│
├─ Range (WHERE col > val, ORDER BY, BETWEEN)
│  └─ B-tree
│
├─ Array/JSONB containment (@>, ?, ?|, ?&)
│  └─ GIN
│
├─ Full-text search (@@)
│  └─ GIN with tsvector
│
├─ Geometric/range overlap (&&, <->)
│  └─ GiST
│
├─ Pattern matching (LIKE '%text%', similarity)
│  └─ GIN with pg_trgm (gin_trgm_ops)
│
├─ Large table, few distinct values, append-only
│  └─ BRIN (tiny index, good for timestamps)
│
└─ Exact equality only, no range/sort needed
   └─ Hash (rare - B-tree usually better)

Quick Index Reference

IndexBest ForSizeWrite Cost
B-treeEquality, range, sortMediumLow
GINArrays, JSONB, FTS, trigramsLargeHigh
GiSTGeometry, ranges, FTSMediumMedium
BRINCorrelated data (timestamps)TinyVery low
HashExact equality onlyMediumLow

Deep dive: Load ./references/indexing.md for composite, partial, expression, and covering index strategies.

EXPLAIN ANALYZE Workflow

-- Step 1: Run with ANALYZE and BUFFERS
EXPLAIN (ANALYZE, BUFFERS, FORMAT TEXT) SELECT ...;

-- Step 2: Read bottom-up. Find the slowest node.
-- Step 3: Check estimates vs actuals
--   actual rows=10000, rows=100  -> bad estimate, run ANALYZE
-- Step 4: Look for these red flags:
Red FlagMeaningFix
Seq Scan on large tableNo usable indexAdd index matching WHERE/JOIN
actual rows >> estimated rowsStale statisticsANALYZE tablename
Nested Loop with high rowsO(n*m) joinCheck join conditions, add index
Sort with external mergework_mem too smallIncrease work_mem for session
Buffers: shared read >> hitCold cache or table too largeCheck shared_buffers, add covering index
Hash Batch > 1Hash join spilling to diskIncrease work_mem

Deep dive: Load ./references/query-tuning.md for plan node reference and optimization patterns.

Workload Profiles

SettingOLTPOLAPNotes
shared_buffers25% RAM25% RAMSame baseline
work_mem4-16 MB256 MB-1 GBOLAP needs big sorts
effective_cache_size75% RAM75% RAMPlanner hint
random_page_cost1.1 (SSD)1.1 (SSD)Lower for SSD
max_parallel_workers_per_gather24-8OLAP benefits more
checkpoint_completion_target0.90.9Spread checkpoint I/O
wal_buffers64 MB64 MB-1 for auto
maintenance_work_mem512 MB1-2 GBFor VACUUM, CREATE INDEX

Deep dive: Load ./references/config-tuning.md for full postgresql.conf walkthrough and extension setup.

Common Operations

Backup & Restore

# Logical backup (single database)
pg_dump -Fc dbname > backup.dump

# Restore
pg_restore -d dbname backup.dump

# Parallel backup (faster for large DBs)
pg_dump -Fc -j4 dbname > backup.dump

# Base backup for PITR
pg_basebackup -D /backup/base -Ft -Xs -P

Vacuum & Maintenance

-- Manual vacuum (reclaim space, update stats)
VACUUM (VERBOSE, ANALYZE) tablename;

-- Full vacuum (rewrites table, exclusive lock)
VACUUM FULL tablename;  -- CAUTION: locks table

-- Reindex without downtime
REINDEX INDEX CONCURRENTLY idx_name;

-- Update statistics only
ANALYZE tablename;

Monitor Key Metrics

-- Slow queries (requires pg_stat_statements)
SELECT query, calls, mean_exec_time, total_exec_time
FROM pg_stat_statements ORDER BY mean_exec_time DESC LIMIT 10;

-- Table bloat indicator
SELECT schemaname, relname, n_dead_tup, n_live_tup,
       round(n_dead_tup::numeric / NULLIF(n_live_tup, 0) * 100, 1) AS dead_pct
FROM pg_stat_user_tables WHERE n_dead_tup > 1000
ORDER BY n_dead_tup DESC;

-- Lock contention
SELECT pid, relation::regclass, mode, granted, query
FROM pg_locks JOIN pg_stat_activity USING (pid)
WHERE NOT granted;

-- Cache hit ratio (should be > 99%)
SELECT sum(heap_blks_hit) / NULLIF(sum(heap_blks_hit) + sum(heap_blks_read), 0) AS ratio
FROM pg_statio_user_tables;

Deep dive: Load ./references/operations.md for WAL archiving, PITR, autovacuum tuning, connection pooling.

Data Types Quick Reference

TypeUse WhenExample
JSONBSemi-structured data, flexible schema'{"tags": ["a","b"]}'::jsonb
ARRAYFixed-type listsARRAY['a','b','c']
tsrangeTime periods, scheduling'[2024-01-01, 2024-12-31)'::tsrange
tsvectorFull-text searchto_tsvector('english', body)
uuidDistributed IDsgen_random_uuid()
inet/cidrIP addresses, networks'192.168.1.0/24'::cidr

Deep dive: Load ./references/schema-design.md for normalization, constraints, RLS, generated columns, table inheritance.

Gotchas & Anti-Patterns

MistakeWhy It's BadFix
SELECT * in productionWastes bandwidth, blocks covering index scansList columns explicitly
Function on indexed column (WHERE UPPER(email) =...)Prevents index useExpression index: CREATE INDEX... ON (UPPER(email))
NOT IN (subquery) with NULLsReturns no rows if subquery has NULLUse NOT EXISTS
Missing ANALYZE after bulk loadPlanner uses stale row estimatesRun ANALYZE tablename
VACUUM FULL in productionExclusive lock on entire tableRegular VACUUM + pg_repack
LIMIT without ORDER BYNon-deterministic resultsAlways pair with ORDER BY
Offset pagination on large tablesScans and discards rowsKeyset pagination: WHERE id > last_id
Too many indexesSlows writes, wastes spaceAudit with pg_stat_user_indexes
Single shared connection poolContention across servicesPer-service pools via pgBouncer
default_transaction_isolation = serializableExcessive serialization failuresKeep read committed, use explicit SERIALIZABLE where needed

Row-Level Security (RLS) Quick Start

-- Enable RLS on table
ALTER TABLE documents ENABLE ROW LEVEL SECURITY;

-- Policy: users see only their own rows
CREATE POLICY user_isolation ON documents
    USING (owner_id = current_setting('app.current_user_id')::int);

-- Policy: admins see everything
CREATE POLICY admin_access ON documents
    USING (current_setting('app.role') = 'admin');

-- Set context per request (from app layer)
SET app.current_user_id = '42';
SET app.role = 'user';

Full-Text Search Quick Start

-- Add search column
ALTER TABLE articles ADD COLUMN search_vector tsvector
    GENERATED ALWAYS AS (to_tsvector('english', title || ' ' || body)) STORED;

-- Index it
CREATE INDEX idx_articles_fts ON articles USING gin(search_vector);

-- Search with ranking
SELECT title, ts_rank(search_vector, query) AS rank
FROM articles, to_tsquery('english', 'database & optimization') AS query
WHERE search_vector @@ query
ORDER BY rank DESC;

LISTEN/NOTIFY

-- Publisher
NOTIFY order_events, '{"order_id": 123, "status": "shipped"}';

-- Subscriber (in psql or app)
LISTEN order_events;

-- Check for notifications (app code)
-- Python: conn.poll(); conn.notifies
-- Node: client.on('notification', callback)

Reference Files

Load these for deep-dive topics. Each is self-contained.

ReferenceWhen to Load
./references/schema-design.mdDesigning tables, choosing types, constraints, RLS policies, JSONB modeling
./references/indexing.mdChoosing index types, composite/partial/expression indexes, index maintenance
./references/query-tuning.mdReading EXPLAIN plans, pg_stat_statements, optimizing specific query patterns
./references/operations.mdBackup/restore, WAL/PITR, vacuum tuning, monitoring, connection pooling
./references/replication.mdStreaming/logical replication, failover, partitioning, FDW
./references/config-tuning.mdpostgresql.conf settings, OLTP/OLAP profiles, extension setup

See Also

  • sql-ops - Vendor-neutral SQL patterns (CTEs, window functions, JOINs)
  • sqlite-ops - SQLite-specific patterns and operations
  • python-database-ops - SQLAlchemy ORM and async database patterns

平台分布

Codex

37.86%
按下载量换算30

Claude

31.49%
按下载量换算25

Cursor

17.13%
按下载量换算14

Gemini CLI

9.9%
按下载量换算8

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

未通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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