Ios Debugger Agent

CommunityPopular

Dimillian

ios-debugger-agent

Use XcodeBuildMCP to build, run, launch, and debug the current iOS project on a booted simulator. Trigger when asked to run an iOS app, interact with the simulator UI, inspect on-screen state, capture logs/console output, or diagnose runtime behavior using XcodeBuildMCP tools.

Overview

Publisher	Dimillian
Repository	`Skills`
Skill name	`ios-debugger-agent`
Stars	4K
Forks	206
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 Dimillian on GitHub. Read the source before you install it.

Installation

Install the Ios Debugger Agent 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.
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/Dimillian/Skills.git /tmp/Skills
mkdir -p .claude/skills
cp -r /tmp/Skills/ios-debugger-agent .claude/skills/ios-debugger-agent

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

Use it in TypingMind

Enable Ios Debugger Agent 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 Ios Debugger Agent 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 Ios Debugger Agent 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.

iOS Debugger Agent

Overview

Use XcodeBuildMCP to build and run the current project scheme on a booted iOS simulator, interact with the UI, and capture logs. Prefer the MCP tools for simulator control, logs, and view inspection.

Core Workflow

Follow this sequence unless the user asks for a narrower action.

1) Discover the booted simulator

Call mcp__XcodeBuildMCP__list_sims and select the simulator with state Booted.
If none are booted, ask the user to boot one (do not boot automatically unless asked).

2) Set session defaults

Call mcp__XcodeBuildMCP__session-set-defaults with:
- projectPath or workspacePath (whichever the repo uses)
- scheme for the current app
- simulatorId from the booted device
- Optional: configuration: "Debug", useLatestOS: true

3) Build + run (when requested)

Call mcp__XcodeBuildMCP__build_run_sim.
If the build fails, check the error output and retry (optionally with preferXcodebuild: true) or escalate to the user before attempting any UI interaction.
After a successful build, verify the app launched by calling mcp__XcodeBuildMCP__describe_ui or mcp__XcodeBuildMCP__screenshot before proceeding to UI interaction.
If the app is already built and only launch is requested, use mcp__XcodeBuildMCP__launch_app_sim.
If bundle id is unknown:
1. mcp__XcodeBuildMCP__get_sim_app_path
2. mcp__XcodeBuildMCP__get_app_bundle_id

UI Interaction & Debugging

Use these when asked to inspect or interact with the running app.

Describe UI: mcp__XcodeBuildMCP__describe_ui before tapping or swiping.
Tap: mcp__XcodeBuildMCP__tap (prefer id or label; use coordinates only if needed).
Type: mcp__XcodeBuildMCP__type_text after focusing a field.
Gestures: mcp__XcodeBuildMCP__gesture for common scrolls and edge swipes.
Screenshot: mcp__XcodeBuildMCP__screenshot for visual confirmation.

Logs & Console Output

Start logs: mcp__XcodeBuildMCP__start_sim_log_cap with the app bundle id.
Stop logs: mcp__XcodeBuildMCP__stop_sim_log_cap and summarize important lines.
For console output, set captureConsole: true and relaunch if required.

Troubleshooting

If build fails, ask whether to retry with preferXcodebuild: true.
If the wrong app launches, confirm the scheme and bundle id.
If UI elements are not hittable, re-run describe_ui after layout changes.

Bundled files

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

agents/openai.yaml1 KB

Frequently asked questions

What does the Ios Debugger Agent AI skill do?

Why use Ios Debugger Agent on TypingMind?

Because you install it once and use it with any model. Ios Debugger Agent 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 Ios Debugger Agent in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Dimillian/Skills/tree/main/ios-debugger-agent. 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 Ios Debugger Agent?

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 Ios Debugger Agent?

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

Is the Ios Debugger Agent AI skill free?

Yes. It is published on GitHub by Dimillian 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

iOS Debugger Agent

Overview

Core Workflow

1) Discover the booted simulator

2) Set session defaults

3) Build + run (when requested)

UI Interaction & Debugging

Logs & Console Output

Troubleshooting

Bundled files

Frequently asked questions

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