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Hud

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Yeachan-Heo
hud

Configure HUD display options (layout, presets, display elements)

Overview

PublisherYeachan-Heo
Repositoryoh-my-claudecode
Skill namehud
Stars
39.2K
Forks
3.5K
Bundled files
Instructions only
LicenseMIT
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 Yeachan-Heo on GitHub. Read the source before you install it.

Installation

Install the Hud 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.
  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/Yeachan-Heo/oh-my-claudecode.git /tmp/oh-my-claudecode
mkdir -p .claude/skills
cp -r /tmp/oh-my-claudecode/skills/hud .claude/skills/hud
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Hud 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 Hud 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 Hud 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.

HUD Skill

Configure the OMC HUD (Heads-Up Display) for the statusline.

Note: All ~/.claude/... paths in this guide respect CLAUDE_CONFIG_DIR when that environment variable is set.

Quick Commands

CommandDescription
/oh-my-claudecode:hudShow current HUD status (auto-setup if needed)
/oh-my-claudecode:hud setupInstall/repair HUD statusline
/oh-my-claudecode:hud minimalSwitch to minimal display
/oh-my-claudecode:hud focusedSwitch to focused display (default)
/oh-my-claudecode:hud fullSwitch to full display
/oh-my-claudecode:hud statusShow detailed HUD status

Auto-Setup

When you run /oh-my-claudecode:hud or /oh-my-claudecode:hud setup, the system will automatically:

  1. Check if ~/.claude/hud/omc-hud.mjs exists
  2. Check if statusLine is configured in ~/.claude/settings.json
  3. If missing, create the HUD wrapper script and configure settings
  4. Report status and prompt to restart Claude Code if changes were made

IMPORTANT: If the argument is setup OR if the HUD script doesn't exist at ~/.claude/hud/omc-hud.mjs, you MUST create the HUD files directly using the instructions below.

Setup Instructions (Run These Commands)

Step 1: Check if setup is needed:

bash
node -e "const p=require('path'),f=require('fs'),d=process.env.CLAUDE_CONFIG_DIR||p.join(require('os').homedir(),'.claude');console.log(f.existsSync(p.join(d,'hud','omc-hud.mjs'))?'EXISTS':'MISSING')"

Step 2: Verify the plugin is installed:

bash
node -e "const p=require('path'),f=require('fs'),d=process.env.CLAUDE_CONFIG_DIR||p.join(require('os').homedir(),'.claude'),b=p.join(d,'plugins','cache','omc','oh-my-claudecode');try{const v=f.readdirSync(b).filter(x=>/^\d/.test(x)).sort((a,c)=>a.localeCompare(c,void 0,{numeric:true}));if(v.length===0){console.log('Plugin not installed - run: /plugin install oh-my-claudecode');process.exit()}const l=v[v.length-1],h=p.join(b,l,'dist','hud','index.js');console.log('Version:',l);console.log(f.existsSync(h)?'READY':'NOT_FOUND - try reinstalling: /plugin install oh-my-claudecode')}catch{console.log('Plugin not installed - run: /plugin install oh-my-claudecode')}"

Step 3: If omc-hud.mjs is MISSING or argument is setup, install the HUD wrapper and its dependency from the canonical template:

bash
HUD_DIR="${CLAUDE_CONFIG_DIR:-$HOME/.claude}/hud"
mkdir -p "$HUD_DIR/lib"
cp "${CLAUDE_PLUGIN_ROOT}/scripts/lib/hud-wrapper-template.txt" "$HUD_DIR/omc-hud.mjs"
cp "${CLAUDE_PLUGIN_ROOT}/scripts/lib/config-dir.mjs" "$HUD_DIR/lib/config-dir.mjs"

IMPORTANT: Always copy from the canonical template at scripts/lib/hud-wrapper-template.txt. Do NOT write the wrapper content inline — the template is the single source of truth and is guarded by drift tests (src/__tests__/hud-wrapper-template-sync.test.ts, src/__tests__/paths-consistency.test.ts).

Step 4: Make it executable (Unix only, skip on Windows):

bash
node -e "if(process.platform==='win32'){console.log('Skipped (Windows)')}else{require('fs').chmodSync(require('path').join(process.env.CLAUDE_CONFIG_DIR||require('path').join(require('os').homedir(),'.claude'),'hud','omc-hud.mjs'),0o755);console.log('Done')}"

Step 5: Update settings.json to use the HUD:

Read ${CLAUDE_CONFIG_DIR:-~/.claude}/settings.json, then update/add the statusLine field.

IMPORTANT: Do not use ~ in the command. On Unix, use $HOME to keep the path portable across machines. On Windows, use an absolute path because Windows does not expand ~ in shell commands.

If you are on Windows, first determine the correct path:

bash
node -e "const p=require('path').join(require('os').homedir(),'.claude','hud','omc-hud.mjs').split(require('path').sep).join('/');console.log(JSON.stringify(p))"

IMPORTANT: The command path MUST use forward slashes on all platforms. Claude Code executes statusLine commands via bash, which interprets backslashes as escape characters and breaks the path.

Then set the statusLine field. On Unix it should stay portable and look like:

json
{
  "statusLine": {
    "type": "command",
    "command": "node ${CLAUDE_CONFIG_DIR:-$HOME/.claude}/hud/omc-hud.mjs"
  }
}

On Windows the path uses forward slashes (not backslashes):

json
{
  "statusLine": {
    "type": "command",
    "command": "node C:/Users/username/.claude/hud/omc-hud.mjs"
  }
}

Use the Edit tool to add/update this field while preserving other settings.

Step 6: Clean up old HUD scripts (if any):

bash
node -e "const p=require('path'),f=require('fs'),d=process.env.CLAUDE_CONFIG_DIR||p.join(require('os').homedir(),'.claude'),t=p.join(d,'hud','omc-hud.js');try{if(f.existsSync(t)){f.unlinkSync(t);console.log('Removed legacy omc-hud.js')}else{console.log('No legacy script found')}}catch{}"

Step 7: Tell the user to restart Claude Code for changes to take effect.

Display Presets

Minimal

Shows only the essentials:

[OMC] ralph | todos:2/5

Focused (Default)

Shows all relevant elements:

[OMC] branch:main | ralph:3/10 | US-002 | skill:planner | ctx:67% | agents:2 | bg:3/5 | todos:2/5

Full

Shows everything including multi-line agent details:

[OMC] repo:oh-my-claudecode branch:main | ralph:3/10 | US-002 (2/5) | ctx:[████░░]67% | agents:3 | bg:3/5 | todos:2/5
├─ O architect    2m   analyzing architecture patterns...
├─ e explore     45s   searching for test files
└─ s executor     1m   implementing validation logic

Multi-Line Agent Display

When agents are running, the HUD shows detailed information on separate lines:

  • Tree characters (├─, └─) show visual hierarchy
  • Agent code (O, e, s) indicates agent type with model tier color
  • Duration shows how long each agent has been running
  • Description shows what each agent is doing (up to 45 chars)

Display Elements

ElementDescription
[OMC]Mode identifier
repo:nameGit repository name (cyan)
branch:nameGit branch name (cyan)
ralph:3/10Ralph loop iteration/max
US-002Current PRD story ID
skill:nameLast activated skill (cyan)
ctx:67%Context window usage
agents:2Running subagent count
bg:3/5Background task slots
todos:2/5Todo completion

Color Coding

  • Green: Normal/healthy
  • Yellow: Warning (context >70%, ralph >7)
  • Red: Critical (context >85%, ralph at max)

Configuration Location

HUD config is stored in ~/.claude/settings.json under the omcHud key (or your custom config directory if CLAUDE_CONFIG_DIR is set).

Legacy config location (deprecated): ~/.claude/.omc/hud-config.json

Manual Configuration

You can manually edit the config file. Each option can be set individually - any unset values will use defaults.

json
{
  "preset": "focused",
  "elements": {
    "omcLabel": true,
    "updateNotification": true,
    "ralph": true,
    "autopilot": true,
    "prdStory": true,
    "activeSkills": true,
    "lastSkill": true,
    "contextBar": true,
    "agents": true,
    "agentsFormat": "multiline",
    "backgroundTasks": true,
    "todos": true,
    "thinking": true,
    "thinkingFormat": "text",
    "permissionStatus": false,
    "apiKeySource": false,
    "profile": true,
    "promptTime": true,
    "sessionHealth": true,
    "useBars": true,
    "showCallCounts": true,
    "callCountsFormat": "auto",
    "safeMode": true,
    "maxOutputLines": 4
  },
  "thresholds": {
    "contextWarning": 70,
    "contextCompactSuggestion": 80,
    "contextCritical": 85,
    "ralphWarning": 7
  },
  "staleTaskThresholdMinutes": 30,
  "contextLimitWarning": {
    "threshold": 80,
    "autoCompact": false
  }
}

callCountsFormat

Controls the call-count badge icon style:

  • "auto" (default): emoji on macOS/Linux, ASCII on Windows/WSL
  • "emoji": force 🔧 🤖 ⚡
  • "ascii": force T: A: S:

safeMode

When safeMode is true (default), the HUD strips ANSI codes and uses ASCII-only output to prevent terminal rendering corruption during concurrent updates. This is especially important on Windows and when using terminal multiplexers.

agentsFormat Options

  • count: agents:2
  • codes: agents:Oes (type-coded with model tier casing)
  • codes-duration: agents:O(2m)es (codes with duration)
  • detailed: agents:[architect(2m),explore,exec]
  • descriptions: O:analyzing code | e:searching (codes + what they're doing)
  • tasks: [analyzing code, searching...] (just descriptions)
  • multiline: Multi-line display with full agent details on separate lines

Troubleshooting

If the HUD is not showing:

  1. Run /oh-my-claudecode:hud setup to auto-install and configure
  2. Restart Claude Code after setup completes
  3. If still not working, run /oh-my-claudecode:omc-doctor for full diagnostics

Legacy string format migration: Older OMC versions wrote statusLine as a plain string (e.g., "~/.claude/hud/omc-hud.mjs"). Modern Claude Code (v2.1+) requires an object format. Running the installer or /oh-my-claudecode:hud setup will auto-migrate legacy strings to the correct object format:

json
{
  "statusLine": {
    "type": "command",
    "command": "node ${CLAUDE_CONFIG_DIR:-$HOME/.claude}/hud/omc-hud.mjs"
  }
}

Node 24+ compatibility: The HUD wrapper script imports homedir from node:os (not node:path). If you encounter SyntaxError: The requested module 'path' does not provide an export named 'homedir', re-run the installer to regenerate omc-hud.mjs.

Manual verification:

  • HUD script: ~/.claude/hud/omc-hud.mjs
  • Settings: ~/.claude/settings.json should have statusLine configured as an object with type and command fields

The HUD updates automatically every ~300ms during active sessions.

Frequently asked questions

What does the Hud AI skill do?

Configure HUD display options (layout, presets, display elements)

Why use Hud on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Yeachan-Heo/oh-my-claudecode/tree/main/skills/hud. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Hud?

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 Hud?

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

Is the Hud AI skill free?

Yes. It is published on GitHub by Yeachan-Heo 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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