sanjay3290/postgres
VerifiedPortable skill for secure read-only PostgreSQL access in AI coding tools.
What is sanjay3290/postgres?
The postgres skill provides AI coding assistants with controlled database interaction focused exclusively on read operations. Defense-in-depth protections validate queries and enforce session restrictions to maintain data safety.
It integrates directly into client-specific skill folders across supported platforms. Users place the skill files in the designated directory for their AI tool, after which the agent can invoke PostgreSQL queries with built-in safeguards.
Designed for developers and teams who need reliable database exploration within AI workflows without risking write access or security breaches.
What you can build with sanjay3290/postgres
Schema Exploration
AI agents can inspect table structures, indexes, and relationships using SELECT queries while security layers block any alteration attempts.
Data Analysis Tasks
Run analytical queries to summarize records or join datasets, with validation ensuring only read operations execute.
Reporting Assistance
Generate insights from live PostgreSQL data during coding sessions without exposing the database to modification risks.
Install sanjay3290/postgres
npx skills# Browse all 20 available skills
npx skills add sanjay3290/ai-skills --list
# Install a single skill (auto-detects your agent)
npx skills add sanjay3290/ai-skills --skill postgres
# Install multiple skills at once
npx skills add sanjay3290/ai-skills --skill postgres --skill mysql --skill mssql
# Install all skills
npx skills add sanjay3290/ai-skills --all- 1Clone or download the postgres skill files from the repository.
- 2Identify the skills directory for your AI client such as ~/.claude/skills/ or equivalent.
- 3Copy the postgres skill folder into the appropriate client skills location.
- 4Restart or reload the AI client to recognize the new skill.
- 5Test by asking the agent to perform a simple read-only query on your PostgreSQL instance.
sanjay3290/postgres: pros & cons
Pros
- +Strong security model prevents accidental writes
- +Works across many popular AI coding clients
- +Lightweight and portable with no heavy dependencies
- +Clear documentation for multiple platform setups
Cons
- –Requires manual placement into each client's skill folder
- –Limited to read-only operations by design
- –Depends on the host AI client supporting the skills standard
Frequently asked questions
No, it is strictly limited to read-only queries with multiple protection layers.
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