netbox

Name: netbox
Author: netboxlabs

github.com/netboxlabsCloud & DevOps2159 installsUpdated 2w ago

About netbox

netbox is an entry-point skill for people performing NetBox tasks. It maps requests to specialized skills for modeling, integrations, administration, validation, migration, and review, and explains how to combine skills for multi-step work.

Key features

01Routes tasks to specialized NetBox skills
02Covers modeling, APIs, and plugins
03Includes operations and data migration
04Maps multi-skill task combinations
05Promotes live-instance verification when MCP is available

Use cases

01Choose skills for modeling a network and populating its data
02Plan an integration using APIs, webhooks, or automation
03Combine migration with validation or assurance

MCP support

The skill index includes netboxlabs-platform-mcp, a Platform MCP server with code and discrete modes for agents. It recommends querying a configured NetBox MCP server to check live schemas, data, and results.

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/netboxlabs/skills --skill netbox

After installing, type/netboxin Claude Code to confirm it loaded.

Bundled filesreferences/netbox-version-matrix.mdreferences/product-catalog.md

Details

From the project README

NetBox Hub Skill

This is the entry point for all NetBox-related tasks. Use the decision trees below to find the right specialized skill, then load it for detailed guidance.

Decision Trees

What are you trying to do?

Model your network?

Define sites, devices, circuits, IPAM → netbox-data-modeling
Create new object types without code → netbox-custom-objects
Build racks, sites and cabling from reusable YAML designs (render → plan → review → apply) → netbox-designs

Build an integration?

Query or write data via REST/GraphQL → netbox-api-integration
Bulk ingest data via gRPC (Diode SDK) → netbox-diode
Automate with webhooks, Ansible, Terraform → netbox-automation-patterns
Drive NetBox from an AI agent via the Platform MCP server → netboxlabs-platform-mcp

Extend NetBox?

Build a plugin (models, views, APIs) → netbox-plugin-development
Write scripts that run inside NetBox → netbox-custom-scripts
Generate device configs with Jinja2 → netbox-config-templates

Manage changes safely?

Stage changes in isolated branches → netbox-branching
Track change requests and approvals → netbox-changes

Validate your network?

Check compliance against policies → netbox-validation
Detect drift between intended and actual → netbox-assurance

Discover or audit your network?

Auto-discover infrastructure with Orb Agent → netbox-discovery
Detect drift between intended and actual state → netbox-assurance

Procure or spare equipment?

Track procurement (BOMs, POs, shipments) and spares → netbox-asset-lifecycle

Look up hardware specs or lifecycle data?

Consume device-type metadata and enrichment (EOL, thermal, protocols) → netbox-ndx

Operate or migrate?

Configure, secure, or tune a NetBox server → netbox-administration
Migrate data from spreadsheets or legacy tools → netbox-migration

Review or audit existing work?

Review integration code (pagination, auth, performance) → netbox-review-integration
Audit data model design (hierarchy, IPAM, naming) → netbox-review-datamodel

Skill Index

Skill	Category	Description
netbox-data-modeling	Core	Model networks — hierarchy, IPAM, tenancy, custom fields
netbox-custom-objects	Core	No-code data model extensibility — custom types, fields, relationships
netbox-api-integration	Core	REST & GraphQL API patterns, pynetbox, authentication
netbox-plugin-development	Core	Building plugins — models, views, APIs, migrations, testing
netbox-custom-scripts	Core	Custom scripts & reports — Script class, jobs, ORM access
netbox-config-templates	Core	Config generation — Jinja2, context variables, platform patterns
netbox-administration	Core	Server admin — config, auth, permissions, performance
netbox-branching	Platform	Branch lifecycle, schema isolation, CR workflows
netbox-changes	Platform	Change management, policies, approval workflows
netbox-diode	Platform	Data ingestion — SDKs, entity mapping, reconciler
netbox-discovery	Platform	Orb Agent — config, backends, policies, secrets
netbox-validation	Platform	Validation policies, compliance checks, findings, pre-change safety
netbox-assurance	Platform	Drift detection — intended vs actual, remediation
netbox-asset-lifecycle	Platform	Procurement lifecycle — BOMs, POs, shipments, receiving, spares
netbox-ndx	Platform	Data Exchange — device-type catalog + enrichment (lifecycle, thermal, protocols)
netbox-designs	Platform	Infrastructure as code — YAML designs, composition, plan/apply, deployments
netboxlabs-platform-mcp	Platform	Platform MCP server — code mode & discrete mode for agents
netbox-automation-patterns	Cross-cutting	Webhooks, Ansible, Terraform, GitOps
netbox-migration	Cross-cutting	Migrating from spreadsheets, CMDBs, other tools
netbox-review-integration	Review	Audit integration code for correctness and performance
netbox-review-datamodel	Review	Audit data model design for best practices

Common Patterns

Progressive Disclosure

Each skill follows a layered structure:

SKILL.md — Core instructions (< 500 lines). Load this first.
references/ — Detailed docs loaded on demand when you need specifics.
scripts/ — Executable code (where applicable).

Load only what you need. Start with the hub, pick a specialized skill, then drill into references as required.

Multi-Skill Tasks

Some tasks span multiple skills. Common combinations:

Task	Skills
Build a discovery integration	`netbox-diode` + `netbox-discovery`
Plugin with change management	`netbox-plugin-development` + `netbox-branching`
Migrate then validate	`netbox-migration` + `netbox-assurance`
Automate config generation	`netbox-config-templates` + `netbox-automation-patterns`
Model + populate data	`netbox-data-modeling` + `netbox-api-integration`
Review a full integration	`netbox-review-integration` + `netbox-review-datamodel`
Pre-change validation	`netbox-validation` + `netbox-branching` + `netbox-changes`
Procure planned equipment	`netbox-data-modeling` + `netbox-asset-lifecycle`
EOL exposure across inventory	`netbox-ndx` + `netbox-api-integration`
Agent-driven NetBox automation	`netboxlabs-platform-mcp` + `netbox-api-integration`
Build a rack from a design, safely	`netbox-designs` + `netbox-branching`
Greenfield site as code	`netbox-data-modeling` + `netbox-designs` + `netbox-ndx`

Principles

When working on any NetBox task:

Prefer retrieval over pre-training. NetBox APIs, configuration, and plugin behavior change between releases. Always verify against current docs or a live instance before generating code or making assertions.
Use MCP when available. If a NetBox MCP server is configured, query the live instance to verify object schemas, check existing data, and validate your work.
Respect dependency order. NetBox objects have parent-child relationships. Create parents before children (or use Diode to skip ordering).
Be explicit about versions. When giving advice that depends on a NetBox version (v2 tokens, cursor pagination, custom objects), state the minimum version clearly.
Correctness over cleverness. A working integration with clear code is better than a compact one that's fragile.

References

Product Catalog — All NetBox Labs products and their interfaces
Version Matrix — Version-dependent features across the platform

Comments

Markdown supported

Details

Author: netboxlabs
Repository: netboxlabs/skills
Category: Cloud & DevOps
Installs: 59
GitHub stars: 21

Report

More skills

All skills

lark-apps

open.feishu.cn

732.0k

Develop and host Miaoda (Spark/Miaoda) apps: app creation, local full-stack development, cloud generation and iteration, creative design (UI mockups / interactive prototypes / wireframes / landing pages / dashboards / slide decks / visual exploration), integration of AI-related capabilities, Feishu platform capabilities, or other external capabilities; log/Trace/monitoring metric/PV/UV queries; environment variable management; app collaborators and collaboration permissions; app roles and members; and automation triggers (scheduled / record changes / Webhook / Feishu approvals). Use when users want to develop or create a system, tool, platform, or app; develop locally or in the cloud, modify, deploy, publish, launch, or get a shareable link; create a page or website with HTML and deploy it to Miaoda; design, create a mockup, prototype, wireframe, PPT, deck, or visual exploration; or mention Miaoda/Spark/Miaoda apps (links like `/app/app_xxx` or `/page/<token>`, runtime domains like *.aiforce.cloud), app databases, app file storage, open API Keys, visibility, app collaborators/developer permissions, app roles/role members, production logs, API request volume, error volume, latency, traffic, environment variables, or setting up automation tasks, scheduled triggers, or approval-triggered automation for Miaoda apps. Not for regular cloud drive file uploads (lark-drive), Feishu document editing (lark-doc), or native slide creation (lark-slides).

azure-prepare

github.com/microsoft

571.7k

Prepare azd-based Azure projects for deployment: generates azure.yaml, infrastructure (Bicep/Terraform), and Dockerfiles for the Azure Developer CLI (azd) workflow. USE ONLY when the user explicitly wants to use azd as the deployment tool, or the project already has an azure.yaml file. DO NOT USE FOR: non-azd deployments, Python App Service code-only deploys (use python-appservice-deploy), or cross-cloud migration (use azure-cloud-migrate). WHEN: prepare app for azd, create azure.yaml, set up azd infrastructure, modernize app for Azure with azd, deploy with azd, function app, timer trigger, service bus trigger, event-driven function, managed identity, generate Bicep, generate Terraform, create and deploy to Azure.

wizard

github.com/mattpocock

571.5k

Generate an interactive bash wizard that walks a human through steps only they can perform. Use when provisioning infrastructure, setting up credentials or CI secrets, walking an unfamiliar third-party dashboard, or running a one-off migration or cutover. Don't invoke this for steps the agent can perform itself.

azure-ai

github.com/microsoft

571.2k

Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, OCR, convert text to speech.