Dolly Rotate

Community

kevinbadi

dolly-rotate

Camera moves forward while rotating around the product. More dynamic than a straight zoom.

Overview

Publisher	kevinbadi
Repository	`blender-skills`
Skill name	`dolly-rotate`
Stars	215
Forks	24
Bundled files	Instructions only
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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by kevinbadi on GitHub. Read the source before you install it.

Installation

Install the Dolly Rotate 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.
https://github.com/kevinbadi/blender-skills/tree/main/dolly-rotate
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/kevinbadi/blender-skills.git /tmp/blender-skills
mkdir -p .claude/skills
cp -r /tmp/blender-skills/dolly-rotate .claude/skills/dolly-rotate

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

Use it in TypingMind

Enable Dolly Rotate 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 Dolly Rotate 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 Dolly Rotate 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.

Dolly + Rotate Camera Animation

Camera dollies forward while simultaneously rotating around the product, creating a dynamic sweeping reveal that's more engaging than a straight zoom or static orbit.

When to Use

User wants a "dynamic" or "sweeping" shot
User says "dolly", "move and rotate", "sweeping reveal"
More cinematic than a simple turntable

Parameters

Parameter	Default	Description
`duration`	`5`	Video length in seconds
`fps`	`24`	Frames per second
`rotation_degrees`	`90`	How far to rotate during the dolly
`start_distance`	`4.0`	Starting distance
`end_distance`	`2.5`	Ending distance
`start_height`	`2.0`	Starting height
`end_height`	`1.5`	Ending height

Flow

Step 1: Set Up Camera Rig

python
import bpy, math

bpy.ops.object.empty_add(type='PLAIN_AXES', location=(0, 0, 0.05))
tgt = bpy.context.active_object
tgt.name = 'DollyTarget'

bpy.ops.object.camera_add(location=(2.5, -START_DISTANCE, START_HEIGHT))
cam = bpy.context.active_object
cam.name = 'DollyCam'
cam.data.lens = 40

trk = cam.constraints.new(type='TRACK_TO')
trk.target = tgt
trk.track_axis = 'TRACK_NEGATIVE_Z'
trk.up_axis = 'UP_Y'

# Parent camera to target for orbital rotation
bpy.ops.object.select_all(action='DESELECT')
cam.select_set(True)
tgt.select_set(True)
bpy.context.view_layer.objects.active = tgt
bpy.ops.object.parent_set(type='OBJECT', keep_transform=True)

bpy.context.scene.camera = cam

Step 2: Animate Dolly + Rotation

python
TOTAL_FRAMES = DURATION * FPS

scene = bpy.context.scene
scene.frame_start = 1
scene.frame_end = TOTAL_FRAMES
scene.render.fps = FPS

# Frame 1: start position
tgt.rotation_euler = (0, 0, 0)
tgt.keyframe_insert(data_path='rotation_euler', frame=1)
cam.location = (2.5, -START_DISTANCE, START_HEIGHT)
cam.keyframe_insert(data_path='location', frame=1)
cam.data.lens = 40
cam.data.keyframe_insert(data_path='lens', frame=1)

# End: rotated + closer
tgt.rotation_euler = (0, 0, math.radians(ROTATION_DEGREES))
tgt.keyframe_insert(data_path='rotation_euler', frame=TOTAL_FRAMES)
cam.location = (1.5, -END_DISTANCE, END_HEIGHT)
cam.keyframe_insert(data_path='location', frame=TOTAL_FRAMES)
cam.data.lens = 50
cam.data.keyframe_insert(data_path='lens', frame=TOTAL_FRAMES)

# Default BEZIER interpolation for smooth cinematic feel

Step 3: Render + Encode

Same as turntable — PNG sequence with Cycles, encode to ProRes 4444.

bash
ffmpeg -y -framerate 24 \
  -i "~/Desktop/Blender Videos/dolly_rotate_frames/%04d.png" \
  -c:v prores_ks -profile:v 4444 -pix_fmt yuva444p10le \
  "~/Desktop/Blender Videos/dolly_rotate.mov"

Frequently asked questions

What does the Dolly Rotate AI skill do?

Camera moves forward while rotating around the product. More dynamic than a straight zoom.

Why use Dolly Rotate on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/kevinbadi/blender-skills/tree/main/dolly-rotate. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Dolly Rotate?

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 Dolly Rotate?

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

Is the Dolly Rotate AI skill free?

It is published on GitHub by kevinbadi. 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Dolly + Rotate Camera Animation

When to Use

Parameters

Flow

Step 1: Set Up Camera Rig

Step 2: Animate Dolly + Rotation

Step 3: Render + Encode

Frequently asked questions

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