Gdd Connections

Community

hegemonart

gdd-connections

Interactive onboarding wizard for the 33 external integrations the pipeline supports - probes all (`figma`, `refero`, `preview`, `storybook`, `chromatic`, `graphify`, `pinterest`, `claude-design`, `paper-design`, `pencil-dev`, `21st-dev`, `magic-patterns`, `lazyweb`, `mobbin`, `slack`, `discord`, `linear`, `jira`, `notion`, `lottie`, `rive`, `framer`, `penpot`, `webflow`, `v0-dev`, `plasmic`, `builder-io`, `launchdarkly`, `statsig`, `growthbook`, `usertesting`, `maze`, `hotjar`), recommends based on project type, walks the user through setup (auto-run MCP install or copy-command fallback), writes results to `STATE.md <connections>`. Use after `{{command_prefix}}new-project` or whenever the user wants to add, inspect, or skip a connection. Re-runnable anytime. Activates for requests involving setting up external integrations, probing Figma or preview or storybook, or onboarding tools.

Overview

Publisher	hegemonart
Repository	`get-design-done`
Skill name	`gdd-connections`
Stars	3
Forks	1
Bundled files	1
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.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by hegemonart on GitHub. Read the source before you install it.

Installation

Install the Gdd Connections 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/hegemonart/get-design-done/tree/main/scripts/skill-templates/connections
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/hegemonart/get-design-done/tree/main/scripts/skill-templates/connections

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

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/hegemonart/get-design-done.git /tmp/get-design-done
mkdir -p .claude/skills
cp -r /tmp/get-design-done/scripts/skill-templates/connections .claude/skills/gdd-connections

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

Use it in TypingMind

Enable Gdd Connections 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 Gdd Connections 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 Gdd Connections 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.

{{command_prefix}}connections

Interactive onboarding for the 33 external integrations the pipeline supports. Replaces "probe silently at scan entry and hope the user noticed" with an explicit "here is what can plug in, here is how."

Canonical per-connection specs live in ../../connections/<name>.md (one file per integration). The capability matrix + probe-pattern spec live in ../../connections/connections.md. This skill is the user-facing front end for those specs.

For the 33 probe scripts (MCP + HTTP + CLI + file probes), bucket categorization, per-connection setup screen, auto-run eligibility matrix, value-prop one-liners, and STATE.md / config.json write contracts, see ./connections-onboarding.md. For the cross-skill probe pattern + connection-handshake summary, see ../../reference/shared-preamble.md#connection-handshake-summary. For the cross-skill output discipline, see ../../reference/shared-preamble.md#output-contract-reminders.

Invocation Modes

Command	Behavior
`{{command_prefix}}connections`	Interactive wizard (default). Probes all, shows summary, asks what to configure.
`{{command_prefix}}connections list`	Read-only table. Probes all, writes STATE.md, no prompts, exits.
`{{command_prefix}}connections <name>`	Jump straight to setup for one connection (e.g. `{{command_prefix}}connections figma`).
`{{command_prefix}}connections --auto`	CI mode. Probes, writes STATE.md, no prompts, no install attempts.

State Integration

Read .design/STATE.md - if missing, that's fine; this skill does not require a pipeline run.
Read .design/config.json - if missing, use defaults. If connections_onboarding block is present with pending_verification, this is a resume - see Step 6.
Read connections.skip[] from config - never re-prompt for skipped connections.
Update last_checkpoint in STATE.md at skill exit if STATE.md exists.

Workflow

Probe all 33 connections - run every probe script per ./connections-onboarding.md#step-1--probe-all-33-connections. MCP probes use ToolSearch first; HTTP / CLI / file probes follow non-MCP patterns. Merge results into STATE.md <connections> with the three-value schema (available | unavailable | not_configured) - never add new values.
Categorize + build summary - bucket each probe result (available / recommended / optional / skipped / unavailable) using project-hint detection. Detail + recommendation mapping: ./connections-onboarding.md#step-2--bucket-categorization.
Print summary table - show buckets + value-prop one-liners (verbatim from ./connections-onboarding.md#step-3--summary-table).
Route by mode - list / --auto exits after summary; <name> jumps straight to Step 5; default mode opens an AskUserQuestion (configure recommended / pick one by one / configure all optional / re-check specific / exit). Routing detail: ./connections-onboarding.md#step-4--route-by-mode.
Per-connection setup screen - for each target: read connections/<name>.md, present the setup screen, AskUserQuestion (run now / copy-paste / skip / never ask). Auto-run only if reversible (see eligibility matrix). On success: append name to connections_onboarding.pending_verification[]. Detail: ./connections-onboarding.md#step-5--per-connection-setup-screen.
Verification pass - re-probe every name in pending_verification[]. Available → remove. not_configured → leave (needs session restart). unavailable → leave + note OAuth needed. Print "Setup complete" summary. Detail: ./connections-onboarding.md#step-6--verification-pass.

If .design/config.json > connections_onboarding.pending_verification[] is non-empty at entry → enter resume flow: run Step 6 immediately; if clean, exit; otherwise fall through to Step 3. Detail: ./connections-onboarding.md#resumability.

Do Not

Per ./connections-onboarding.md#do-not:

Never run npm install -g globals automatically.
Never write to ~/.bashrc, ~/.zshrc, or shell RC files.
Never run claude mcp add without explicit "Run install command now" confirmation.
Never auto-restart the Claude Code session.
Never re-prompt for names in connections.skip[].
Never overwrite existing <connections> entries that this skill did not probe - merge only.

Output

End every invocation with:


## CONNECTIONS COMPLETE

Bundled files

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

connections-onboarding.md24 KB

Frequently asked questions

What does the Gdd Connections AI skill do?

Why use Gdd Connections on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/hegemonart/get-design-done/tree/main/scripts/skill-templates/connections. 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 Gdd Connections?

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 Gdd Connections?

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

Is the Gdd Connections AI skill free?

Yes. It is published on GitHub by hegemonart 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

{{command_prefix}}connections

Invocation Modes

State Integration

Workflow

Do Not

Output

Bundled files

Frequently asked questions

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