postgres
by sanjay3290The postgres skill lets you inspect live PostgreSQL databases with read-only SQL. Use it for schema discovery, table checks, and SELECT-based analysis across multiple connections with description-based auto-selection. It is built for Database Engineering workflows and blocks writes like INSERT, UPDATE, DELETE, and DROP for safety.
This skill scores 78/100, which means it is a solid directory listing for users who need a read-only PostgreSQL query helper. The repository gives enough operational detail to decide to install it: it clearly defines when to use it, how it connects to multiple databases, and what safety limits it enforces. Users should still expect some setup effort because the real value depends on configuring credentials and a connections file correctly.
- Clear trigger and scope: explicitly for read-only PostgreSQL queries, schema exploration, and SELECT-based analysis.
- Good operational leverage: supports multiple database connections with descriptions for auto-selection and includes a runnable Python script.
- Safety-oriented workflow: documents write-blocking behavior, single-statement checks, and config permission guidance.
- Install requires manual configuration of connections.json or a home-directory config, so it is not plug-and-play.
- The repository does not show an install command in SKILL.md, so users may need to infer setup from README and scripts.
Overview of postgres skill
What this postgres skill does
The postgres skill is a read-only PostgreSQL query tool for situations where you want an agent to inspect live data safely without writing to the database. It is best for Database Engineering work like schema discovery, data checks, and SELECT-based analysis across one or more PostgreSQL connections.
Who should install it
Install this postgres skill if you regularly need quick answers from configured PostgreSQL databases and want safer defaults than a generic prompt. It fits analysts, backend engineers, support engineers, and AI workflows that need to choose among multiple databases by description.
Why it stands out
Its main value is not just “run SQL”: it supports multiple database profiles, uses descriptions for smarter selection, and blocks write operations at both the workflow and query-validation level. That makes the postgres guide especially useful when you need low-risk access to production or staging data.
How to Use postgres skill
Install and configure it
Install with npx skills add sanjay3290/ai-skills --skill postgres. Then copy connections.example.json to connections.json or place it at ~/.config/claude/postgres-connections.json, and secure the file with chmod 600 connections.json on Unix-like systems.
Give the skill the right inputs
A strong postgres usage prompt includes the target database, the business meaning of that database, and the exact output you want. For example: “Using the production connection, inspect the orders table schema and return the columns most relevant to order status reporting.” If you only say “check the database,” the skill may need to infer too much from the connection descriptions.
Read these files first
Start with SKILL.md, then README.md, connections.example.json, and scripts/query.py. Those files tell you the supported config shape, safety rules, query limits, and how the script resolves database selection and execution.
Use the workflow that matches the task
For exploration, begin with --list, --tables, and --schema before running a full query. For analysis, ask for a focused SELECT with an explicit limit, especially when you need a sample rather than a full extract. Keep requests read-only; this postgres skill is not for migrations, inserts, repairs, or admin changes.
postgres skill FAQ
Is this only for SELECT queries?
Yes. This postgres skill is designed for read-only work and rejects write-oriented operations like INSERT, UPDATE, DELETE, and DROP. Use it when the goal is inspection, not modification.
When is postgres a better fit than a normal prompt?
Use the postgres skill when the query needs real connection handling, database selection, and safety controls instead of a one-off SQL suggestion. It is more reliable for postgres usage against live systems because the skill can work from configured credentials and database descriptions.
Is it beginner-friendly?
Mostly yes, if you can describe what data you need and can point to the right connection. Beginners get the best results by asking for schema first, then narrowing to one table or one question at a time.
When should I not use it?
Do not use this postgres skill for schema changes, data fixes, writes, or anything that requires transaction management. If you need ETL, database administration, or migration support, choose a different skill or tool.
How to Improve postgres skill
Improve connection descriptions first
The biggest quality boost comes from better description fields in connections.json. Instead of “main DB,” write “production users, orders, billing, and support tickets.” Better descriptions help the postgres skill auto-select the right database when your prompt is vague.
Ask for one decision at a time
Weak prompts force the skill to guess scope. Strong prompts name the object, the question, and the output shape: “Find the columns in customers that can identify inactive accounts and summarize their null rates.” This improves postgres usage because the query stays narrow and easier to validate.
Use schema-first iteration
If the first result is incomplete, do not immediately broaden the query. Ask for --schema, then refine by table, column, or time window. In postgres for Database Engineering workflows, that sequence usually produces cleaner, safer answers than asking for a full report upfront.
Watch for common failure modes
The usual blockers are ambiguous database names, missing credentials, unsafe file permissions, and overly broad queries that hit row limits. If you see weak output, improve the connection metadata, add a limit, or specify the exact table and business purpose before rerunning the postgres guide workflow.