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Devnet Meraki Search

Community
automateyournetwork
devnet-meraki-search

Search Cisco Meraki API documentation and lookup specific operations

Overview

Publisherautomateyournetwork
Repositorynetclaw
Skill namedevnet-meraki-search
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 Devnet Meraki Search 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/devnet-meraki-search
  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/devnet-meraki-search .claude/skills/devnet-meraki-search
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Devnet Meraki Search 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 Devnet Meraki Search 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 Devnet Meraki Search 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.

DevNet Meraki API Search

Purpose

Enable network engineers to quickly find Meraki API documentation for firewall rules, VLAN management, wireless configuration, OAuth setup, and other automation tasks without manually navigating DevNet.

Tools Used

Meraki-API-Doc-Search

Search Meraki API documentation with keyword queries.

Parameters:

  • query (string, required): Search terms (e.g., "L3 firewall rules", "VLAN management")
  • limit (integer, optional): Maximum results to return

Returns:

  • API endpoint paths and HTTP methods
  • Operation descriptions and summaries
  • Parameter details and code examples
  • Tags for categorization

Meraki-API-OperationId-Search

Lookup a specific Meraki API operation by its exact operation ID.

Parameters:

  • operationId (string, required): Exact operation ID (e.g., "updateNetworkApplianceFirewallL3FirewallRules")

Returns:

  • Complete OpenAPI specification for the operation
  • Full parameter schemas (path, query, body)
  • Request and response body schemas
  • Code examples when available

Workflow

Basic Documentation Search

  1. User requests Meraki API documentation on a topic
  2. Invoke Meraki-API-Doc-Search with relevant keywords
  3. Present matching API endpoints with descriptions
  4. User selects an operation for more details
  5. Optionally lookup full spec with Meraki-API-OperationId-Search

Specific Operation Lookup

  1. User knows the exact operation ID they need
  2. Invoke Meraki-API-OperationId-Search with the operation ID
  3. Return complete OpenAPI specification
  4. User can see all parameters, schemas, and examples

Example Usage

Search for Firewall APIs

User: "Find Meraki L3 firewall API documentation"

Tool: Meraki-API-Doc-Search
Query: "L3 firewall rules"

Response:
- PUT /networks/{networkId}/appliance/firewall/l3FirewallRules
  → Update the L3 firewall rules of an MX network
- GET /networks/{networkId}/appliance/firewall/l3FirewallRules
  → Return the L3 firewall rules for an MX network

Search for VLAN Management

User: "Show me Meraki VLAN management APIs"

Tool: Meraki-API-Doc-Search
Query: "VLAN management"

Response:
- GET /networks/{networkId}/appliance/vlans
  → List the VLANs for an MX network
- POST /networks/{networkId}/appliance/vlans
  → Add a VLAN
- PUT /networks/{networkId}/appliance/vlans/{vlanId}
  → Update a VLAN

Search for Wireless Configuration

User: "Find Meraki wireless SSID configuration APIs"

Tool: Meraki-API-Doc-Search
Query: "wireless SSID configuration"

Response:
- GET /networks/{networkId}/wireless/ssids
  → List the MR SSIDs in a network
- PUT /networks/{networkId}/wireless/ssids/{number}
  → Update the attributes of an MR SSID

Lookup Specific Operation

User: "Get details for createNetworkMerakiAuthUser operation"

Tool: Meraki-API-OperationId-Search
OperationId: "createNetworkMerakiAuthUser"

Response:
- Path: /networks/{networkId}/merakiAuthUsers
- Method: POST
- Summary: Create a user configured with Meraki Authentication
- Parameters: networkId (path, required)
- Request Body: email, name, password, accountType, authorizations

Error Handling

No Results Found

If search returns no results:

  • Suggest broader search terms
  • Check spelling of technical terms
  • Try alternative terminology (e.g., "firewall" vs "ACL")

Invalid Operation ID

If operation ID lookup fails:

  • Verify the operation ID spelling (case-sensitive)
  • Use Meraki-API-Doc-Search first to find valid operation IDs
  • Check that the operation exists in current Meraki API version

Server Unavailable

If DevNet server is unreachable:

Frequently asked questions

What does the Devnet Meraki Search AI skill do?

Search Cisco Meraki API documentation and lookup specific operations

Why use Devnet Meraki Search on TypingMind?

Because you install it once and use it with any model. Devnet Meraki Search 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 Devnet Meraki Search in TypingMind?

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

Which AI models can use Devnet Meraki Search?

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 Devnet Meraki Search?

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

Is the Devnet Meraki Search 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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