Neon Agent Skills is a collection of agent instructions, scripts, and resources for working with Neon’s cloud backend services built around Lakebase Postgres. Developers, startups, and agent platforms use it to guide work with databases, branches, authentication, storage, functions, and AI Gateway services.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/neondatabase/agent-skills/neon-postgresnpx skills add neondatabase/agent-skills --skill neon-postgresgit clone --depth 1 https://github.com/neondatabase/agent-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/neondatabase/agent-skills/neon-postgres)<a href="https://agentmods.dev/skills/neondatabase/agent-skills/neon-postgres"><img src="https://agentmods.dev/badge/skills/neondatabase/agent-skills/neon-postgres.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00222 | $0.03652 |
| Opus 5 | $0.00111 | $0.01826 |
| Sonnet 5 | $0.00044 | $0.00730 |
| Haiku 4.5 | $0.00022 | $0.00365 |
Grade A, and why
neon-postgres scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 279 lines — stays where its author put it; the contents beside it link to each section on GitHub.
FIRST: Use the parent neon skill for a Neon overview, getting started with Neon, Neon development best practices, and more.
If the neon skill is not installed, fetch it from https://neon.com/docs/ai/skills/neon/SKILL.md or install it with:
npx skills add neondatabase/agent-skills --skill neon
Lakebase Postgres
Lakebase Postgres is the database at the core of Neon. It runs on the lakebase architecture — OLTP built directly on cloud object storage — which decouples storage from compute to offer autoscaling, branching, instant restore, and scale-to-zero. It's fully compatible with Postgres and works with any language, framework, or ORM that supports Postgres.
It is the same database whether you reach it through Neon or through Databricks; this skill covers the Neon access path.
Setup Flow
1. Select the organization and project
Use the CLI (default) or MCP server to list organizations and projects. Let the user select an existing project or create a new one. Check the .neon file for an existing linked project or branch.
2. Get the connection string
Use the CLI (default), neon env pull, or the MCP server to get the connection string. Store it in .env as DATABASE_URL. Read the file first before modifying it, to avoid overwriting existing values.
When to use pooled vs direct connections
| Use case | Connection type |
|---|---|
| Web applications, serverless functions | Pooled (-pooler) |
| Schema migrations | Direct |
| pg_dump / pg_restore | Direct |
| Logical replication | Direct |
| Long-running analytics with temp tables | Direct |
| Admin tasks needing SET or session state | Direct |
| LISTEN / NOTIFY | Direct |
3. Pick the connection method and driver
Always pair Neon with an ORM such as Drizzle for easy schema management and migrations. Refer to the connection methods guide to pick the correct driver based on how the runtime treats your code: https://neon.com/docs/connect/choose-connection.md.
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- yesterday Changed · +85 lines · +15 tokens per session 84de1bb89fc9
- 2d ago Changed · +16 lines · +44 tokens per session 374335ecc861
- 6d ago First seen · 178 lines · 163 tokens per session scan A eb8081a09e25
neon-postgres is a skill published in the GitHub repository neondatabase/agent-skills (85 stars, last pushed yesterday), licensed Apache-2.0. It adds 222 tokens to every session and 3,652 once invoked, about $0.0011 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
alloydb-basics
Manages clusters, instances, and backups for AlloyDB for PostgreSQL, and integrates with AlloyDB Model Context Protocol (MCP) tools for automated database operations. Use when creating, configuring, or administering AlloyDB databases. Do NOT use for general PostgreSQL instances (e.g. Cloud SQL) or other GCP databases.
postgresql-table-design
Use this skill when designing or reviewing a PostgreSQL-specific schema. Covers best-practices, data types, indexing, constraints, performance patterns, and advanced features.
db-repair
Auto-fix gbrain's Postgres access so the brain stays available. When any gbrain command or MCP tool result carries a GBRAINDBACCESS marker (or an operator reports the brain database is down), run the hardcoded gbrain db-repair ladder: diagnose, apply the safe tier, verify. The action is ALWAYS the hardcoded command …
dsql
Build with Aurora DSQL — manage schemas, execute queries, handle migrations, diagnose query plans, diagnose cluster performance, load data, and develop applications with a serverless, distributed SQL database. Covers IAM auth, multi-tenant patterns, MySQL-to-DSQL and PostgreSQL-to-DSQL schema conversion, foreign key…
volcengine-rds-postgresql
使用火山引擎 RDS PostgreSQL，帮助用户完成 RDS PostgreSQL 相关的实例管理、数据库操作、账号管理和运维任务，可直接调用 uv run ./scripts/callrdspostgresql.py 脚本获取实时结果。.
analyzing-insights-across-teams
Analyze PostHog insights, dashboards, or teams beyond the current project by querying the prod Postgres replicas synced into the dogfood data warehouse (US project 2, "PostHog App + Website"). Use when asked to analyze insights across all teams or projects, another team's insights, or fleet-wide insight/dashboard…