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Explorer Pipeline

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mohitagw15856
explorer-pipeline

Use when asked to make an interactive 3D explorer of a topic from start to finish, go from a topic to a clickable 3D learning page, or run the whole 3D explorer process. Produces a staged run of explorer-interface-brief, model-prompt-pack and explorer-viewer-builder in order for one topic, with the hand-offs between them, and a build checklist that tracks every asset, source and test until the explorer ships.

Overview

Publishermohitagw15856
Repositorypm-claude-skills
Skill nameexplorer-pipeline
Stars
1.4K
Forks
257
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 mohitagw15856 on GitHub. Read the source before you install it.

Installation

Install the Explorer Pipeline 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/mohitagw15856/pm-claude-skills/tree/main/plugins/pm-3d-explorer/skills/explorer-pipeline
  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/mohitagw15856/pm-claude-skills.git /tmp/pm-claude-skills
mkdir -p .claude/skills
cp -r /tmp/pm-claude-skills/plugins/pm-3d-explorer/skills/explorer-pipeline .claude/skills/explorer-pipeline
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Explorer Pipeline 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 Explorer Pipeline 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 Explorer Pipeline 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.

Explorer Pipeline

Topic in, interactive 3D explorer out. The three skills in this bundle each do one job: the interface brief decides what the learner sees and does, the model prompt pack produces the parts and their sourced labels, and the viewer builder turns both into a page. This skill runs them in order for one topic, carries each step's output into the next, and keeps a build checklist so nothing ships unsourced or untested.

Required Inputs

Ask for these once, at the start, and reuse them in every stage:

  • Topic and the object or system to explore
  • Audience and learning goal
  • Devices the explorer must work on
  • Trusted sources the user has, or the curriculum or standard to follow
  • The image-to-3D tool the user will use, or "not chosen yet"
  • Hosting for the finished page

Output Structure

1. Run plan

A table of the three stages with their inputs, outputs and the person responsible for any manual step (generating images and meshes happens outside the chat): | Stage | Skill | Input | Output | Manual step |

2. Stage outputs

Run each stage in full, in order, with a short hand-off note between them:

  1. explorer-interface-brief: the design brief and the image-model prompt for the mock. Hand-off: the implied parts list, palette and layout values.
  2. model-prompt-pack: the prompt cards, the sourced parts list and the illustrative statement. Hand-off: mesh names, labels, descriptions and sources in the exact shape CONFIG.parts needs.
  3. explorer-viewer-builder: the single-file viewer filled in from both hand-offs, with the demo assembly until the user's GLB exists.

Pause after stage 2 if the user must generate meshes first, and say exactly what to bring back (the GLB file and the mesh names it contains).

3. Build checklist

A checklist to keep until launch, grouped by stage:

markdown
#### Design
- [ ] Learning outcomes agreed with [teacher, client or reviewer]
- [ ] Interface mock generated and reviewed
#### Assets
- [ ] One reference image per part, checked against its source figure
- [ ] One mesh per part, named exactly as in the parts list
- [ ] GLB assembled, scaled, under 15 MB
#### Content
- [ ] Every label has a named trusted source
- [ ] Descriptions reviewed by a subject expert
- [ ] Illustrative statement visible on the page
#### Build and test
- [ ] Mesh-name check passes (no missing or extra names)
- [ ] Tested on desktop, a phone at 390 px width, and in dark mode
- [ ] Keyboard path to every part works
- [ ] No console errors
#### Publish
- [ ] Hosted at [URL]; link checked from a phone on mobile data

4. Status summary

At the end of each session: what is done, what is blocked (and on whom), and the next action.

Quality Checks

  • All three stages are run in order, each with its full output
  • Each hand-off passes the exact values the next stage needs
  • The parts list from stage 2 is the one used in stage 3's CONFIG
  • The pipeline pauses for manual mesh generation and says what to bring back
  • The build checklist covers design, assets, content, testing and publishing
  • No label reaches the viewer without a named source

Anti-Patterns

  • Starting with the 3D model. Without the brief, the parts list and the page disagree.
  • Losing the sources between stages. Sources travel with labels into the viewer, every time.
  • Declaring it done before the mesh-name check. Mismatched names mean unclickable parts.
  • Skipping the subject-expert review. Sourced labels can still be misread; a reviewer catches it.

Example Trigger Phrases

  • "Make a 3D explorer of the human heart for Year 10 students, start to finish."
  • "Topic in, 3D explorer out: jet engines for an aviation museum."
  • "Run the whole 3D explorer pipeline for a plant cell."
  • "I want an interactive 3D page about volcanoes. Take me through it."

Frequently asked questions

What does the Explorer Pipeline AI skill do?

Use when asked to make an interactive 3D explorer of a topic from start to finish, go from a topic to a clickable 3D learning page, or run the whole 3D explorer process. Produces a staged run of explorer-interface-brief, model-prompt-pack and explorer-viewer-builder in order for one topic, with the hand-offs between them, and a build checklist that tracks every asset, source and test until the explorer ships.

Why use Explorer Pipeline on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mohitagw15856/pm-claude-skills/tree/main/plugins/pm-3d-explorer/skills/explorer-pipeline. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Explorer Pipeline?

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 Explorer Pipeline?

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

Is the Explorer Pipeline AI skill free?

Yes. It is published on GitHub by mohitagw15856 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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