Technical Integrations

Community

vincentkoc

technical-integrations

Hunt existing integration patterns and design vendor/framework-agnostic API, RFC, SDK, and integration plans for new external vendor integrations.

Overview

Publisher	vincentkoc
Repository	`dotskills`
Skill name	`technical-integrations`
Stars	112
Forks	9
Bundled files	7
License	MIT
Links	Skill source Repository

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.
7 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by vincentkoc on GitHub. Read the source before you install it.

Installation

Install the Technical 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/vincentkoc/dotskills/tree/main/skills/technical-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/vincentkoc/dotskills.git /tmp/dotskills
mkdir -p .claude/skills
cp -r /tmp/dotskills/skills/technical-integrations .claude/skills/technical-integrations

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

Use it in TypingMind

Enable Technical 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 Technical 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 Technical 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.

Technical Integrations

Purpose

Design and review external-vendor integrations using existing internal patterns, with vendor/framework-agnostic workflows for API, RFC, SDK, and rollout planning.

When to use

Adding a new third-party/vendor integration.
Evolving an existing integration surface without breaking compatibility.
Writing or reviewing integration RFCs before implementation.
Defining SDK/API integration points and delivery plans.

Workflow

Classify mode: discover, design, review, or implementation-plan.
Run references/hunt-and-inventory.md to gather current integration evidence and patterns.
Use references/principles.md to enforce vendor/framework-agnostic constraints.
For architecture and proposal work, follow references/design-and-rfc.md.
For execution sequencing, follow references/implementation-plan.md.
For QA pass, apply references/review-checklist.md.
Return deliverables with explicit decisions, tradeoffs, and open risks.

Flow

Inputs

Integration objective and target vendor capability.
Existing repo patterns (API, SDK, auth, observability, error model).
Compatibility constraints (backward compatibility, versioning, rollout policy).
Scope (discovery only, RFC draft, implementation plan, or full review).

Outputs

Integration inventory and pattern baseline.
RFC-quality proposal with options and decision rationale.
API and SDK integration design plan.
Validation and rollout checklist with unresolved risks.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Technical Integrations AI skill do?

Hunt existing integration patterns and design vendor/framework-agnostic API, RFC, SDK, and integration plans for new external vendor integrations.

Why use Technical Integrations on TypingMind?

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

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

Which AI models can use Technical 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 Technical Integrations?

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

Is the Technical Integrations AI skill free?

Yes. It is published on GitHub by vincentkoc 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

Technical Integrations

Purpose

When to use

Workflow

Flow

Inputs

Outputs

Bundled files

Frequently asked questions

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