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Auvik Lifecycle

Community
automateyournetwork
auvik-lifecycle

Auvik device end-of-life posture, warranty/service coverage, and configuration backup history for refresh and renewal planning. Use when identifying devices past or approaching end-of-life, auditing warranty and service contract coverage, reviewing configuration backup history, planning hardware refreshes, or preparing QBR lifecycle reports for MSP clients.

Overview

Publisherautomateyournetwork
Repositorynetclaw
Skill nameauvik-lifecycle
Stars
680
Forks
189
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by automateyournetwork on GitHub. Read the source before you install it.

Installation

Install the Auvik Lifecycle AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/auvik-lifecycle
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/automateyournetwork/netclaw.git /tmp/netclaw
mkdir -p .claude/skills
cp -r /tmp/netclaw/workspace/skills/auvik-lifecycle .claude/skills/auvik-lifecycle
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Auvik Lifecycle in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Auvik Lifecycle on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Auvik Lifecycle is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Auvik Device Lifecycle

Assess the end-of-life posture, warranty and service contract coverage, and configuration backup history of Auvik-managed devices. Supports hardware refresh planning, renewal pipeline management, and QBR lifecycle reporting across MSP tenants.

MCP Server

  • Server: auvik-mcp (NetClaw MCP, Feature 036)
  • Command: python3 mcp-servers/auvik-mcp/auvik_mcp_server.py (stdio transport)
  • Auth: Basic auth via AUVIK_USERNAME + AUVIK_API_KEY
  • Read-only: GET operations only — no lifecycle record modifications

Available Tools

ToolWhat It Does
auvik_list_device_lifecycleEoL and last-support posture for managed devices; filter by sales_availability, software_maintenance_status, security_software_maintenance_status, or last_support_status
auvik_list_device_warrantyWarranty and service contract coverage; filter by covered_under_warranty (bool) or covered_under_service (bool)
auvik_list_configurationsConfiguration backup history; config_id retrieves the full backup body; filter by device, backup time window, or is_running (running vs. startup config)

Key Concepts

Tenants = MSP clients. All three tools accept an optional tenants parameter (name or domain prefix). Omit it to query all visible tenants; provide it to scope to a single client.

Identifier resolution. The device parameter on all three tools accepts a hostname, IP address, partial name, or Auvik numeric ID. The server resolves names and IPs to internal IDs automatically. Ambiguous matches return ResolutionCandidate[].

Lifecycle status fields. auvik_list_device_lifecycle surfaces four independent status dimensions:

  • sales_availability — whether the device is still sold by the vendor
  • software_maintenance_status — whether the OS/firmware receives updates
  • security_software_maintenance_status — whether security patches are still released
  • last_support_status — whether the vendor still provides any support

Warranty vs. service. auvik_list_device_warranty distinguishes between manufacturer warranty (covered_under_warranty) and service contracts such as SMARTnet or NBD (covered_under_service). A device may have one, both, or neither.

Configuration backups. auvik_list_configurations returns a list of backup records. Retrieve the full configuration text by passing the config_id of a specific record. Use is_running=true to filter for running-config backups vs. startup-config. Combine backup_time_after and backup_time_before (ISO-8601) to bound a review window.

Cursor pagination. List tools auto-aggregate all pages up to AUVIK_MAX_PAGES. Narrow filters (e.g., a specific tenant + device) to manage response size on large inventories.

Workflow

Hardware Refresh Planning

  1. Start GAIT branch: gait_branch with name like auvik-lifecycle-review-<client>-2026-06-21
  2. List all lifecycle data: auvik_list_device_lifecycle with tenants=<client> — no status filter to capture full picture
  3. Identify at-risk devices: re-run with last_support_status=endOfLife to isolate unsupported hardware
  4. Check warranty gaps: auvik_list_device_warranty with covered_under_warranty=false, covered_under_service=false to find completely uncovered devices
  5. Cross-reference inventory: auvik-inventory (auvik_list_devices) with detail_level=detail to get make/model, install location, and online status
  6. Record in GAIT: commit a refresh candidate list with device names, EoL dates, and warranty status

QBR Lifecycle Report for an MSP Client

  1. Pull lifecycle posture: auvik_list_device_lifecycle with tenants=<client> — all devices
  2. Pull warranty summary: auvik_list_device_warranty with tenants=<client> — coverage per device
  3. Identify immediate risk: filter last_support_status=endOfLife + covered_under_service=false — highest-priority refresh candidates
  4. Identify upcoming risk: filter software_maintenance_status=endOfSoftwareMaintenance — devices losing patch support soon
  5. Record in GAIT: commit QBR lifecycle data with client name and report date

Configuration Backup Audit

  1. List recent backups: auvik_list_configurations with tenants=<client>, backup_time_after=<7-days-ago> — verify backups are occurring
  2. Check running config: auvik_list_configurations with device=<hostname>, is_running=true — list running-config backup records
  3. Retrieve backup body: auvik_list_configurations with config_id=<id> — retrieve full configuration text for a specific backup
  4. Spot-check after a change window: narrow backup_time_after and backup_time_before around a maintenance window to confirm configs were captured
  5. Record in GAIT: commit backup verification results with timestamps

Integration with Other Skills

SkillHow They Work Together
gait-session-trackingMandatory — start a branch before querying, record every turn, close with gait_log
auvik-inventoryEnrich lifecycle findings with device make/model, online status, and network location
auvik-network-alertsRecurring alerts on EoL or unwarranted devices signal accelerated refresh priority
netbox-reconcileCompare Auvik lifecycle data against NetBox SoT to update asset records with EoL and warranty fields
servicenow-change-workflowRaise change requests for refresh projects; link lifecycle findings to hardware replacement CRs

Environment Variables

VariableRequiredDescription
AUVIK_USERNAMEYesAuvik user email (Basic-auth username)
AUVIK_API_KEYYesAuvik API key (Basic-auth password)
AUVIK_BASE_URLNoRegional cluster URL; defaults to https://auvikapi.us1.my.auvik.com — swap us1 for your region
AUVIK_VERIFY_SSLNoSet false to skip TLS verification (not recommended)
AUVIK_TIMEOUTNoHTTP timeout in seconds (default: 30)
AUVIK_MAX_PAGESNoPagination safety cap (default: 50)

Important Rules

  • Read-only — this skill cannot update lifecycle records, warranty data, or trigger configuration backups. All data reflects what Auvik has already collected.
  • Refer to devices by name or IP, not by Auvik internal IDs. Pass device=<hostname-or-IP> and let the resolver do the lookup.
  • Scope to a tenant in MSP environments to avoid mixing lifecycle data across clients.
  • config_id is required to retrieve backup content — auvik_list_configurations without config_id returns metadata only (timestamps, device, backup type); the full configuration text is only returned when a specific config_id is provided.
  • Record every session in GAIT — refresh planning decisions, QBR data pulls, and configuration audit results all go to the audit trail.

Failure Behavior

  • If a tool call fails with an authentication or connection error, check that AUVIK_API_KEY, AUVIK_BASE_URL, AUVIK_USERNAME are set and valid before assuming a data or device problem.
  • On a tool error (timeout, unreachable host, malformed response), report the failure and its error message directly to the user rather than fabricating or guessing at results.
  • For a confirmed read-only call, check connectivity and retry once if appropriate. For any call that changes state or sends a message, a timeout does not prove the action failed: inspect current state or delivery status before retrying, preserve the required approval/change gates, and do not repeat an action whose outcome is unknown.

Frequently asked questions

What does the Auvik Lifecycle AI skill do?

Auvik device end-of-life posture, warranty/service coverage, and configuration backup history for refresh and renewal planning. Use when identifying devices past or approaching end-of-life, auditing warranty and service contract coverage, reviewing configuration backup history, planning hardware refreshes, or preparing QBR lifecycle reports for MSP clients.

Why use Auvik Lifecycle on TypingMind?

Because you install it once and use it with any model. Auvik Lifecycle is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Auvik Lifecycle in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/auvik-lifecycle. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Auvik Lifecycle?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Auvik Lifecycle?

As many as you like. As long as a model supports skills, you can use Auvik Lifecycle with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Auvik Lifecycle AI skill free?

Yes. It is published on GitHub by automateyournetwork under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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