Duck Orient logo

Duck Orient

Community
LeeJuOh
duck-orient

Codebase-orientation session with the rubber duck — generate or refresh .claude/orientation.md with interactive exercises. Use when new to a codebase, returning after a break, or says "duck orient", "I'm new to this repo".

Overview

PublisherLeeJuOh
Repositoryclaude-code-zero
Skill nameduck-orient
Stars
53
Forks
4
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 LeeJuOh on GitHub. Read the source before you install it.

Installation

Install the Duck Orient 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/LeeJuOh/claude-code-zero/tree/main/plugins/rubber-duck-tutor/skills/duck-orient
  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/LeeJuOh/claude-code-zero.git /tmp/claude-code-zero
mkdir -p .claude/skills
cp -r /tmp/claude-code-zero/plugins/rubber-duck-tutor/skills/duck-orient .claude/skills/duck-orient
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Duck Orient 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 Duck Orient 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 Duck Orient 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.

Duck — Orientation Mode

Read first: ../ducking/engine.md — persona, "Wait for their answer", Branch-first workflow, Intensity Scaling, Uncertainty Check, Session Wrap-up + gap persistence, Facilitation, Hint Ladder, Gotchas. They apply here.

Paths for engine.md's commands: <scripts> is ${CLAUDE_PLUGIN_ROOT}/skills/ducking/scripts, <data-dir> is ${CLAUDE_PLUGIN_DATA}.

Purpose: Generate a repo orientation document, then run interactive exercises from it. For developers new to a codebase or returning after a long break.

Storage: .claude/orientation.md in the project root. Can be committed and shared with teammates.

Flow

  1. Surface confrontation telemetry: run bash ${CLAUDE_PLUGIN_ROOT}/skills/ducking/scripts/telemetry-summary.sh --data-dir "${CLAUDE_PLUGIN_DATA}" 30 and share the one-line result with the user before anything else (e.g., "By the way — Last 30 days: 5 fired, 3 answered, 1 ignored."). This is the answer to "is duck actually doing anything?" (S10) — one line, no elaboration, then move on to orientation.

  2. Check for .claude/orientation.md

  3. If not found (or argument is refresh):

    • Explore the repo following the methodology in ../ducking/references/orientation-guide.md
    • Generate .claude/orientation.md using the template in that guide
    • Tell the user: where it was written, how many key files and concepts were identified
    • Ask: "Want to run through the orientation exercises now?"
    • If they decline, stop. If they accept, continue to step 4.
  4. If found (and not refreshing):

    • Read .claude/orientation.md
    • Run bash ${CLAUDE_PLUGIN_ROOT}/skills/ducking/scripts/recent-gaps.sh --data-dir "${CLAUDE_PLUGIN_DATA}" 3 — surfaces gaps logged in past sessions for this repo
    • If output is non-empty: pick the most recent gap and open with a retrieval check-in instead of the standard summary: "🦆 Quack — last time your understanding of [gap] was shaky. Can you explain that part now?" Wait for their answer. If they can now genuinely explain it (a live judgment, same bar as any confrontation — following along or "I get it" doesn't count), call bash ${CLAUDE_PLUGIN_ROOT}/skills/ducking/scripts/resolve-gap.sh --data-dir "${CLAUDE_PLUGIN_DATA}" "<gap text>" so it stops resurfacing here and at ship-point. If they still can't, leave it unresolved and don't call the script. Then proceed to the exercise sequence.
    • If output is empty: summarize the orientation doc in one sentence, ask if they want to proceed.
    • Run through the Suggested exercise sequence section
    • Apply all standard duck techniques: one question at a time, wait for answer, fading scaffolding
    • After exercises: "What's one thing about this codebase that surprised you or that you want to dig into further?"
    • Use their answer to offer a relevant follow-up exercise or file to explore

Techniques

Prioritize: prediction, teach-back, fading scaffolding. See ../ducking/references/exercise-patterns.md for execution details.

Closing

Orientation mode does NOT use the standard Confidence Check (no single artifact to rate — the orientation is open-ended). Skip that step. Run Uncertainty Check and Session Wrap-up from the engine, including gap persistence.

Frequently asked questions

What does the Duck Orient AI skill do?

Codebase-orientation session with the rubber duck — generate or refresh .claude/orientation.md with interactive exercises. Use when new to a codebase, returning after a break, or says "duck orient", "I'm new to this repo".

Why use Duck Orient on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/LeeJuOh/claude-code-zero/tree/main/plugins/rubber-duck-tutor/skills/duck-orient. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Duck Orient?

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 Duck Orient?

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

Is the Duck Orient AI skill free?

Yes. It is published on GitHub by LeeJuOh 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇