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Defold Project Build

Organization
indiesoftby
defold-project-build

Builds the project using the running Defold editor, returns build errors, and launches the game if build succeeds.

Overview

Publisherindiesoftby
Repositorydefold-agent-config
Skill namedefold-project-build
Stars
104
Forks
10
Bundled files
Instructions only
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 indiesoftby on GitHub. Read the source before you install it.

Installation

Install the Defold Project Build 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/indiesoftby/defold-agent-config/tree/main/.agents/skills/defold-project-build
  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/indiesoftby/defold-agent-config.git /tmp/defold-agent-config
mkdir -p .claude/skills
cp -r /tmp/defold-agent-config/.agents/skills/defold-project-build .claude/skills/defold-project-build
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Defold Project Build 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 Defold Project Build 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 Defold Project Build 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.

Build Defold Project via Editor HTTP API

Build and run a Defold project by sending HTTP requests to the running Defold editor.

Prerequisites

  • The Defold editor must be running with the project open.

Reading the Editor Port

The editor writes its HTTP port to .internal/editor.port in the project root. Read this file to get the port number.

Windows (PowerShell):

powershell
$port = Get-Content .internal/editor.port

Linux/macOS:

bash
port=$(cat .internal/editor.port)

If the file does not exist, the editor is not running or the project is not open.

Building the Project

Send a POST request to the /command/build endpoint.

Windows (PowerShell):

powershell
Invoke-RestMethod -Uri "http://127.0.0.1:$port/command/build" -Method Post

Linux/macOS:

bash
curl -X POST "http://127.0.0.1:$port/command/build" --silent

The response is JSON with two fields:

  • success (boolean) — whether the build succeeded.
  • issues (array) — list of build issues (empty on success).

If success is true, the build succeeded and the editor launches the game automatically.

If success is false, each entry in issues contains:

FieldDescription
severity"error" or "warning"
messageHuman-readable description
resourceAbsolute project path (e.g. /main/logo.script)
range.start.lineStart line (0-based)
range.start.characterStart column (0-based)
range.end.lineEnd line (0-based)
range.end.characterEnd column (0-based)

Checking Console Output

After a successful build and launch, read runtime logs from the editor console:

Windows (PowerShell):

powershell
Invoke-RestMethod -Uri "http://127.0.0.1:$port/console" -Method Get

Linux/macOS:

bash
curl "http://127.0.0.1:$port/console" --silent

Workflow

  1. Read the port from .internal/editor.port.
  2. POST to /command/build.
  3. If the build fails, report all issues with file paths, line numbers, and messages.
  4. If the build succeeds, the game launches automatically. Check /console for runtime logs if needed.

Troubleshooting

  • Connection refused — the editor is not running or the port file is stale. Restart the editor and try again.

Example: Successful Build Response

json
{
  "success": true,
  "issues": []
}

Example: Failed Build Response

json
{
  "success": false,
  "issues": [
    {
      "severity": "error",
      "message": "go.property declaration should be a top-level statement",
      "resource": "/main/logo.script",
      "range": {
        "start": { "line": 3, "character": 4 },
        "end": { "line": 3, "character": 35 }
      }
    }
  ]
}

Frequently asked questions

What does the Defold Project Build AI skill do?

Builds the project using the running Defold editor, returns build errors, and launches the game if build succeeds.

Why use Defold Project Build on TypingMind?

Because you install it once and use it with any model. Defold Project Build 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 Defold Project Build in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/indiesoftby/defold-agent-config/tree/main/.agents/skills/defold-project-build. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Defold Project Build?

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 Defold Project Build?

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

Is the Defold Project Build AI skill free?

It is published on GitHub by indiesoftby. Check the repository for licensing terms. 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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