Integrations

Community

indranilbanerjee

integrations

Show integrations status: connected and available connectors, what each unlocks. "which connectors do I have"

Overview

Publisher	indranilbanerjee
Repository	`digital-marketing-pro`
Skill name	`integrations`
Stars	866
Forks	138
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

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 indranilbanerjee on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/indranilbanerjee/digital-marketing-pro/tree/main/skills/integrations
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.

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/indranilbanerjee/digital-marketing-pro.git /tmp/digital-marketing-pro
mkdir -p .claude/skills
cp -r /tmp/digital-marketing-pro/skills/integrations .claude/skills/integrations

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Integrations 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 Integrations 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 Integrations 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.

/digital-marketing-pro:integrations

Script location. If your host does not set ${CLAUDE_PLUGIN_ROOT}, the scripts are in this plugin's scripts/ folder, next to skills/. Run them with Python 3.10 or newer: python, or python3 where python is not found (macOS, many Linux systems).

Purpose

Show a complete integration status dashboard — which MCP connectors are currently connected, which are available but not yet configured, and which skills each connector unlocks. This is the first thing users should check after installing the plugin to understand what capabilities are active and what additional connections they can set up.

Input Required

The user may optionally provide:

Filter (optional): A specific category to focus on — e.g., "crm", "seo", "advertising", "email-marketing", "social-media". If omitted, shows all categories
Show (optional): connected (only active connectors), available (only not-yet-connected), or all (default)

Process

Run connector status check: Execute python "${CLAUDE_PLUGIN_ROOT}/scripts/connector-status.py" --action status to get the full status dashboard. This reads the active .mcp.json configuration and checks environment variables for npx connectors to determine which are connected.
Format the dashboard: Present the results organized by category, with clear visual distinction between connected and available connectors:

For each category (Chat, Design, CRM, SEO, Email Marketing, Advertising, Analytics, Social Media, etc.):
- Show connected connectors with a checkmark indicator and the skills they power
- Show available-but-not-connected connectors with what they would unlock
- For available connectors, indicate whether they are HTTP (works everywhere, easy OAuth setup) or npx (Claude Code only, requires API keys)
- When an entry carries an access field, show it next to the connector. These are the official ad-platform and CRM servers: meta-ads, google-ads-mcp, amazon-ads-mcp and hubspot (checked 2026-10-04; see CONNECTORS.md). google-ads-mcp is read-only. For the read-write ones, say that writes happen only behind /digital-marketing-pro:launch-ad-campaign's typed approval gate, and that new ad objects are created PAUSED
Highlight quick wins: Identify the top 3 connectors the user should consider connecting based on which would unlock the most additional skill capabilities. Prioritize HTTP connectors (easier to set up) over npx connectors.
Show coverage summary: Display the overall integration coverage — X of Y connectors active, with a breakdown by category showing which areas have full coverage vs gaps.
Provide next steps: For each available connector, briefly explain how to connect it:
- HTTP connectors: "Just use any skill that needs it — you'll be prompted to authorize via OAuth"
- npx connectors: "Run /digital-marketing-pro:connect <name> for setup instructions, or /digital-marketing-pro:add-integration <name> for guided configuration"

Output

A structured integration dashboard containing:

Coverage summary: Total connected vs total available, percentage coverage, and per-category breakdown
Connected integrations: List of all active connectors grouped by category, with the skills each one powers and its transport type (HTTP/npx)
Available integrations: List of all not-yet-connected connectors grouped by category, with what skills they would unlock, transport type, and setup complexity (HTTP = easy/OAuth, npx = requires API keys)
Quick wins: Top 3 recommended connectors to add next, based on skill coverage impact and setup ease
Category gaps: Categories with zero connected connectors highlighted, with the most impactful connector to add in each gap category
Next steps: Clear guidance — "Run /digital-marketing-pro:connect <name> to set up any connector" and "Run /digital-marketing-pro:add-integration for custom MCP servers not in the registry"

Agents Used

No specialized agent needed — this skill uses the connector-status.py script directly and formats the output

Frequently asked questions

What does the Integrations AI skill do?

Show integrations status: connected and available connectors, what each unlocks. "which connectors do I have"

Why use Integrations on TypingMind?

Because you install it once and use it with any model. Integrations 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 Integrations in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/indranilbanerjee/digital-marketing-pro/tree/main/skills/integrations. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Integrations?

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 Integrations?

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

Is the Integrations AI skill free?

Yes. It is published on GitHub by indranilbanerjee under the MIT 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

/digital-marketing-pro:integrations

Purpose

Input Required

Process

Output

Agents Used

Frequently asked questions

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