neon-postgres▌
neondatabase/agent-skills · updated Apr 8, 2026
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Comprehensive guides and best practices for Neon Serverless Postgres, covering setup, connection methods, authentication, and platform APIs.
- ›Covers getting started, local development setup, connection method selection (TCP, HTTP, WebSocket), and driver installation for any language or framework
- ›Includes Neon-specific features: autoscaling, branching (instant copy-on-write clones), scale-to-zero, instant restore, and read replicas
- ›Provides CLI tooling ( neonctl ), TypeScript/Python SD
Neon Serverless Postgres
Neon is a serverless Postgres platform that separates compute and storage 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.
Neon Documentation
The Neon documentation is the source of truth for all Neon-related information. Always verify claims against the official docs before responding. Neon features and APIs evolve, so prefer fetching current docs over relying on training data.
Fetching Docs as Markdown
Any Neon doc page can be fetched as markdown in two ways:
- Append
.mdto the URL (simplest): https://neon.com/docs/introduction/branching.md - Request
text/markdownon the standard URL:curl -H "Accept: text/markdown" https://neon.com/docs/introduction/branching
Both return the same markdown content. Use whichever method your tools support.
Finding the Right Page
The docs index lists every available page with its URL and a short description:
https://neon.com/docs/llms.txt
Common doc URLs are organized in the topic links below. If you need a page not listed here, search the docs index: https://neon.com/docs/llms.txt — don't guess URLs.
What Is Neon
Use this for architecture explanations and terminology (organizations, projects, branches, endpoints) before giving implementation advice.
Link: https://neon.com/docs/ai/skills/neon-postgres/references/what-is-neon.md
Getting Started
Use this for first-time setup: org/project selection, connection strings, driver installation, optional auth, and initial schema setup.
Link: https://neon.com/docs/ai/skills/neon-postgres/references/getting-started.md
Connection Methods & Drivers
Use this when you need to pick the correct transport and driver based on runtime constraints (TCP, HTTP, WebSocket, edge, serverless, long-running).
Link: https://neon.com/docs/ai/skills/neon-postgres/references/connection-methods.md
Serverless Driver
Use this for @neondatabase/serverless patterns, including HTTP queries, WebSocket transactions, and runtime-specific optimizations.
Link: https://neon.com/docs/ai/skills/neon-postgres/references/neon-serverless.md
Neon JS SDK
Use this for combined Neon Auth + Data API workflows with PostgREST-style querying and typed client setup.
Link: https://neon.com/docs/ai/skills/neon-postgres/references/neon-js.md
Developer Tools
Use this for local development enablement with npx neonctl@latest init, VSCode extension setup, and Neon MCP server configuration.
Link: https://neon.com/docs/ai/skills/neon-postgres/references/devtools.md
Neon CLI
Use this for terminal-first workflows, scripts, and CI/CD automation with neonctl.
Link: https://neon.com/docs/ai/skills/neon-postgres/references/neon-cli.md
Neon Admin API
The Neon Admin API can be used to manage Neon resources programmatically. It is used behind the scenes by the Neon CLI and MCP server, but can also be used directly for more complex automation workflows or when embedding Neon in other applications.
Neon REST API
Use this for direct HTTP automation, endpoint-level control, API key auth, rate-limit handling, and operation polling.
Link: https://neon.com/docs/ai/skills/neon-postgres/references/neon-rest-api.md
Neon TypeScript SDK
Use this when implementing typed programmatic control of Neon resources in TypeScript via @neondatabase/api-client.
Link: https://neon.com/docs/ai/skills/neon-postgres/references/neon-typescript-sdk.md
Neon Python SDK
Use this when implementing programmatic Neon management in Python with the neon-api package.
Link: https://neon.com/docs/ai/skills/neon-postgres/references/neon-python-sdk.md
Neon Auth
Use this for managed user authentication setup, UI components, auth methods, and Neon Auth integration pitfalls in Next.js and React apps.
Link: https://neon.com/docs/ai/skills/neon-postgres/references/neon-auth.md
Neon Auth is also embedded in the Neon JS SDK - so depending on your use case, you may want to use the Neon JS SDK instead of Neon Auth. See https://neon.com/docs/ai/skills/neon-postgres/references/connection-methods.md for more details.
Branching
Use this when the user is planning isolated environments, schema migration testing, preview deployments, or branch lifecycle automation.
Key points:
- Branches are instant, copy-on-write clones (no full data copy).
- Each branch has its own compute endpoint.
- Use the neonctl CLI or MCP server to create, inspect, and compare branches.
Link: https://neon.com/docs/ai/skills/neon-postgres/references/branching.md
Autoscaling
Use this when the user needs compute to scale automatically with workload and wants guidance on CU sizing and runtime behavior.
Link: https://neon.com/docs/introduction/autoscaling.md
Scale to Zero
Use this when optimizing idle costs and discussing suspend/resume behavior, including cold-start trade-offs.
Key points:
- Idle computes suspend automatically (default 5 minutes, configurable) (unless disabled - launch & scale plan only)
- First query after suspend typically has a cold-start penalty (around hundreds of ms)
- Storage remains active while compute is suspended.
Link: https://neon.com/docs/introduction/scale-to-zero.md
Instant Restore
Use this when the user needs point-in-time recovery or wants to restore data state without traditional backup restore workflows.
Key points:
- Restore windows depend on plan limits.
- Users can create branches from historical points-in-time.
- Time Travel queries can be used for historical inspection workflows.
Link: https://neon.com/docs/introduction/branch-restore.md
Read Replicas
Use this for read-heavy workloads where the user needs dedicated read-only compute without duplicating storage.
Key points:
- Replicas are read-only compute endpoints sharing the same storage.
- Creation is fast and scaling is independent from primary compute.
- Typical use cases: analytics, reporting, and read-heavy APIs.
Link: https://neon.com/docs/introduction/read-replicas.md
Connection Pooling
Use this when the user is in serverless or high-concurrency environments and needs safe, scalable Postgres connection management.
Key points:
- Neon pooling uses PgBouncer.
- Add
-poolerto endpoint hostnames to use pooled connections. - Pooling is especially important in serverless runtimes with bursty concurrency.
Link: https://neon.com/docs/connect/connection-pooling.md
IP Allow Lists
Use this when the user needs to restrict database access by trusted networks, IPs, or CIDR ranges.
Link: https://neon.com/docs/introduction/ip-allow.md
Logical Replication
Use this when integrating CDC pipelines, external Postgres sync, or replication-based data movement.
Key points:
- Neon supports native logical replication workflows.
- Useful for replicating to/from external Postgres systems.
Link: https://neon.com/docs/guides/logical-replication-guide.md
How to use neon-postgres on Cursor
AI-first code editor with Composer
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 neon-postgres
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches neon-postgres from GitHub repository neondatabase/agent-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate neon-postgres. Access the skill through slash commands (e.g., /neon-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
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.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 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▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.7★★★★★72 reviews- ★★★★★Henry Perez· Dec 28, 2024
neon-postgres is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Nikhil Liu· Dec 28, 2024
neon-postgres fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Shikha Mishra· Dec 24, 2024
We added neon-postgres from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Nikhil Brown· Dec 24, 2024
Useful defaults in neon-postgres — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Sakura Martinez· Dec 12, 2024
neon-postgres reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Kiara Garcia· Dec 12, 2024
neon-postgres is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Isabella Garcia· Dec 8, 2024
neon-postgres has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Nikhil Ndlovu· Dec 4, 2024
neon-postgres has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Aisha Kapoor· Dec 4, 2024
Registry listing for neon-postgres matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Sakshi Patil· Nov 23, 2024
neon-postgres fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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