postgres

sanjay3290/ai-skills · updated Apr 8, 2026

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$npx skills add https://github.com/sanjay3290/ai-skills --skill postgres
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summary

Execute safe, read-only queries against configured PostgreSQL databases.

skill.md

PostgreSQL Read-Only Query Skill

Execute safe, read-only queries against configured PostgreSQL databases.

Requirements

  • Python 3.8+
  • psycopg2-binary: pip install -r requirements.txt

Setup

Create connections.json in the skill directory or ~/.config/claude/postgres-connections.json.

Security: Set file permissions to 600 since it contains credentials:

chmod 600 connections.json
{
  "databases": [
    {
      "name": "production",
      "description": "Main app database - users, orders, transactions",
      "host": "db.example.com",
      "port": 5432,
      "database": "app_prod",
      "user": "readonly_user",
      "password": "your-password",
      "sslmode": "require"
    }
  ]
}

Config Fields

Field Required Description
name Yes Identifier for the database (case-insensitive)
description Yes What data this database contains (used for auto-selection)
host Yes Database hostname
port No Port number (default: 5432)
database Yes Database name
user Yes Username
password Yes Password
sslmode No SSL mode: disable, allow, prefer (default), require, verify-ca, verify-full

Usage

List configured databases

python3 scripts/query.py --list

Query a database

python3 scripts/query.py --db production --query "SELECT * FROM users LIMIT 10"

List tables

python3 scripts/query.py --db production --tables

Show schema

python3 scripts/query.py --db production --schema

Limit results

python3 scripts/query.py --db production --query "SELECT * FROM orders" --limit 100

Database Selection

Match user intent to database description:

User asks about Look for description containing
users, accounts users, accounts, customers
orders, sales orders, transactions, sales
analytics, metrics analytics, metrics, reports
logs, events logs, events, audit

If unclear, run --list and ask user which database.

Safety Features

  • Read-only session: Connection uses PostgreSQL readonly=True mode (primary protection)
  • Query validation: Only SELECT, SHOW, EXPLAIN, WITH queries allowed
  • Single statement: Multiple statements per query rejected
  • SSL support: Configurable SSL mode for encrypted connections
  • Query timeout: 30-second statement timeout enforced
  • Memory protection: Max 10,000 rows per query to prevent OOM
  • Column width cap: 100 char max per column for readable output
  • Credential sanitization: Error messages don't leak passwords

Troubleshooting

Error Solution
Config not found Create connections.json in skill directory
Authentication failed Check username/password in config
Connection timeout Verify host/port, check firewall/VPN
SSL error Try "sslmode": "disable" for local databases
Permission warning Run chmod 600 connections.json

Exit Codes

  • 0: Success
  • 1: Error (config missing, auth failed, invalid query, database error)

Workflow

  1. Run --list to show available databases
  2. Match user intent to database description
  3. Run --tables or --schema to explore structure
  4. Execute query with appropriate LIMIT
how to use postgres

How to use postgres on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add postgres
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/sanjay3290/ai-skills --skill postgres

The skills CLI fetches postgres from GitHub repository sanjay3290/ai-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/postgres

Reload or restart Cursor to activate postgres. Access the skill through slash commands (e.g., /postgres) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.538 reviews
  • Chaitanya Patil· Dec 24, 2024

    Keeps context tight: postgres is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Liam Gupta· Dec 16, 2024

    postgres reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Anika Harris· Dec 12, 2024

    We added postgres from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Zara Menon· Dec 4, 2024

    postgres is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Anaya Harris· Nov 23, 2024

    Solid pick for teams standardizing on skills: postgres is focused, and the summary matches what you get after install.

  • Piyush G· Nov 15, 2024

    postgres has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Emma Wang· Nov 7, 2024

    I recommend postgres for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Yusuf Gonzalez· Oct 26, 2024

    Useful defaults in postgres — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Zaid Mehta· Oct 14, 2024

    postgres has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Shikha Mishra· Oct 6, 2024

    Solid pick for teams standardizing on skills: postgres is focused, and the summary matches what you get after install.

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