Schema Exploration
timescale/pg-aiguide
Explore an existing PostgreSQL database before answering questions about its data or writing SQL.
Execute read-only SQL queries against multiple PostgreSQL databases.
$ npx skills add sanjay3290/ai-skills --skill postgres -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sanjay3290/ai-skills postgres --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/sanjay3290/ai-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/postgres .claude/skills/postgres && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "postgres" agent skill from https://github.com/sanjay3290/ai-skills/tree/main/skills/postgres into .claude/skills/postgres/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "postgres", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/sanjay3290/ai-skills/tree/main/skills/postgresType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add sanjay3290/ai-skills --skill postgres -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sanjay3290/ai-skills postgres --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sanjay3290/ai-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/postgres .agents/skills/postgres && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "postgres" agent skill from https://github.com/sanjay3290/ai-skills/tree/main/skills/postgres into .agents/skills/postgres/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "postgres", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sanjay3290/ai-skills --skill postgres -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sanjay3290/ai-skills postgres --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sanjay3290/ai-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/postgres .cursor/skills/postgres && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "postgres" agent skill from https://github.com/sanjay3290/ai-skills/tree/main/skills/postgres into .cursor/skills/postgres/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "postgres", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/sanjay3290/ai-skills.git --path skills/postgres--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add sanjay3290/ai-skills --skill postgres -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sanjay3290/ai-skills postgres --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sanjay3290/ai-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/postgres .gemini/skills/postgres && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "postgres" agent skill from https://github.com/sanjay3290/ai-skills/tree/main/skills/postgres into .gemini/skills/postgres/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "postgres", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install sanjay3290/ai-skills postgresInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add sanjay3290/ai-skills --skill postgres -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sanjay3290/ai-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/postgres .github/skills/postgres && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "postgres" agent skill from https://github.com/sanjay3290/ai-skills/tree/main/skills/postgres into .github/skills/postgres/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "postgres", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sanjay3290/ai-skills --skill postgres -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install sanjay3290/ai-skills postgres --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sanjay3290/ai-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/postgres .opencode/skills/postgres && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "postgres" agent skill from https://github.com/sanjay3290/ai-skills/tree/main/skills/postgres into .opencode/skills/postgres/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "postgres", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
postgresExecute read-only SQL queries against multiple PostgreSQL databases.
Postgres is an agent skill from sanjay3290/ai-skills. Execute read-only SQL queries against multiple PostgreSQL databases. Use when: (1) querying PostgreSQL databases, (2) exploring database schemas/tables, (3) running SELECT queries for data analysis, (4) checking database contents. Supports multiple database connections with descriptions for intelligent auto-selection. Blocks all write operations (INSERT, UPDATE, DELETE, DROP, etc.) for safety.
Its SKILL.md is about 980 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts (for example `README.md`, `connections.example.json` and `scripts/query.py`).
It sits in Databases, covering SQL, Database schema design and Data analysis. It works with PostgreSQL and SQL. The repository describes itself as: 24 cross-platform agent skills for Claude Code, Cursor, Codex & Gemini CLI — databases, messaging, research, TTS, DevOps, and Google Workspace. The licence is Apache-2.0.
4 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 281d88d. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3pipFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Postgres loads about 975 tokens when it runs. Until then it costs about 101 tokens; SKILL.md has 298 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from sanjay3290/ai-skills at commit 281d88d, republished under its Apache-2.0 licence (© sanjay3290). 298 words, ~975 tokens.
.claude/skills/postgres/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.Execute safe, read-only queries against configured PostgreSQL databases.
pip install -r requirements.txtCreate 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"
}
]
}| 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 |
python3 scripts/query.py --listpython3 scripts/query.py --db production --query "SELECT * FROM users LIMIT 10"python3 scripts/query.py --db production --tablespython3 scripts/query.py --db production --schemapython3 scripts/query.py --db production --query "SELECT * FROM orders" --limit 100Match 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.
readonly=True mode (primary protection)| 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 |
--list to show available databases--tables or --schema to explore structure© sanjay3290, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 5 other files (scripts) in skills/postgres of sanjay3290/ai-skills.
Open the folder on GitHubat commit 281d88d
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in sanjay3290/ai-skills, which our catalogue first saw on October 7, 2026.
Postgres next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Postgres this skillsanjay3290/ai-skills | 430 | 1 repos | ~975 | Automated safety check: Pass | Apache-2.0 | |
| Schema Explorationtimescale/pg-aiguide | 1.9k | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | |
| Database FundamentalsDanielPodolsky/ownyourcode | 290 | 1 repos | ~1.6k | Automated safety check: Pass | MIT | |
| Golang Databaseunxed/f4 | 240 | 2 repos | ~2.9k | Automated safety check: Pass | MIT | |
| Semantic Analystsidequery/sidemantic | 129 | — | ~982 | Automated safety check: Pass | AGPL-3.0 | |
| DB ContextSilvioBaratto/optimizer | 176 | — | ~6.4k | Automated safety check: Notes | Custom licence |
timescale/pg-aiguide
Explore an existing PostgreSQL database before answering questions about its data or writing SQL.
DanielPodolsky/ownyourcode
Reviews schema design, SQL queries, ORM patterns. An agent skill from DanielPodolsky/ownyourcode.
unxed/f4
Comprehensive guide for Go database access — parameterized queries, struct scanning, NULLable columns, transactions, isolation levels, SELECT FOR UPDATE, connection pool, batch processing, context…
sidequery/sidemantic
Answer analytical, KPI, metric, trend, cohort, and business-performance questions through a Sidemantic semantic layer.
SilvioBaratto/optimizer
Complete knowledge of the optimizer PostgreSQL database: 57 ingestion tables, schema, relationships, live row counts, query patterns, and conventions.
ReJeCtAll/ExpertTeam-Codex
数据库优化专家入口。用于 Codex CLI 的 $expert-database 调用. An agent skill from ReJeCtAll/ExpertTeam-Codex.
sanjay3290/ai-skills
Execute autonomous multi-step research using Google Gemini Deep Research Agent.
sanjay3290/ai-skills
Generate images using Google Gemini's image generation capabilities.
sanjay3290/ai-skills
Query and manage Google NotebookLM notebooks with persistent profile auth, source sync, batch/multi queries, and structured exports.
sanjay3290/ai-skills
Send and receive WhatsApp messages via the unofficial linked-device client pywhats (pip install pywhats) — pair with QR, send text/images, group chat, read receipts, presence/typing, and a…
sanjay3290/ai-skills
Convert documents and text to audio using ElevenLabs text-to-speech.
sanjay3290/ai-skills
Manage Jira issues and Confluence wiki pages in Atlassian Cloud.
Works with
Categories
Execute read-only SQL queries against multiple PostgreSQL databases. Postgres is an agent skill from sanjay3290/ai-skills. Execute read-only SQL queries against multiple PostgreSQL databases.
Postgres fits situations like: querying PostgreSQL databases; exploring database schemas/tables; running SELECT queries for data analysis; checking database contents.
Run `npx skills add sanjay3290/ai-skills --skill postgres -a claude-code`. Or copy the skill folder (skills/postgres in sanjay3290/ai-skills) into .claude/skills/postgres in your project. Claude Code loads it when a task matches its description.
Run `npx skills add sanjay3290/ai-skills --skill postgres -a codex`. Or copy the skill folder (skills/postgres in sanjay3290/ai-skills) into .agents/skills/postgres in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sanjay3290/ai-skills --skill postgres -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/postgres, .gemini/skills/postgres, .github/skills/postgres and .opencode/skills/postgres in your project.
Going by SKILL.md and its folder, Postgres needs Python for the scripts in its folder and the command-line tools its instructions call (python3 and pip). Our summary lists: Python 3.
SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Postgres is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 975 tokens (SKILL.md is roughly 3.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Postgres: Schema Exploration (timescale/pg-aiguide, 1.9k stars), Database Fundamentals (DanielPodolsky/ownyourcode, 290 stars), Golang Database (unxed/f4, 240 stars) and Semantic Analyst (sidequery/sidemantic, 129 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
sanjay3290 (a GitHub user) maintains it in sanjay3290/ai-skills, which has 430 GitHub stars. The repository holds 24 skills in this directory. The repository was last updated on September 10, 2026.
Source: sanjay3290/ai-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.