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Dynamic Full Loop

Community
kevinbadi
dynamic-full-loop

Dynamic camera loop with speed ramping - slow reveals on each face, fast whips between. Shows all sides including top and bottom.

Overview

Publisherkevinbadi
Repositoryblender-skills
Skill namedynamic-full-loop
Stars
215
Forks
24
Bundled files
Instructions only
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 kevinbadi on GitHub. Read the source before you install it.

Installation

Install the Dynamic Full Loop 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/kevinbadi/blender-skills/tree/main/dynamic-full-loop
  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/kevinbadi/blender-skills.git /tmp/blender-skills
mkdir -p .claude/skills
cp -r /tmp/blender-skills/dynamic-full-loop .claude/skills/dynamic-full-loop
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Dynamic Full Loop 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 Dynamic Full Loop 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 Dynamic Full Loop 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.

Dynamic Full Loop Camera Animation

Camera orbits the product on multiple axes with speed ramping — slow motion when revealing each side of the product, fast whip transitions between faces. Shows front, sides, back, top, and bottom.

When to Use

  • User wants to "show every angle" with dynamic motion
  • User says "full loop", "speed ramp", "show all sides", "dynamic spin"
  • Social media / marketing hero video

Parameters

ParameterDefaultDescription
duration10Video length in seconds (longer due to speed ramps)
fps24Frames per second
camera_distance4.0Camera distance from center
camera_height1.8Camera height

Flow

Step 1: Set Up Camera Rig

python
import bpy, math

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

bpy.ops.object.camera_add(location=(0, -CAMERA_DISTANCE, CAMERA_HEIGHT))
cam = bpy.context.active_object
cam.name = 'DynamicCam'
cam.data.lens = 45

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
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 with Speed Ramping

The key is BEZIER interpolation with keyframes clustered for slow/fast:

  • Close keyframes with small rotation change = SLOW (lingering on a face)
  • Wide keyframes with large rotation change = FAST (whip transition)
python
TOTAL_FRAMES = DURATION * FPS  # 240 at 10s/24fps

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

# Z rotation (horizontal orbit) - speed ramp pattern
# SLOW on each face, FAST whip between
kf_z = [
    (1,   0),      # front start
    (30,  10),     # slow drift on front
    (45,  90),     # FAST whip to right
    (75,  100),    # slow on right
    (90,  180),    # FAST whip to back
    (120, 190),    # slow on back
    (135, 270),    # FAST whip to left
    (165, 280),    # slow on left
    (180, 330),    # FAST whip toward front
    (210, 340),    # slow near bottom
    (225, 355),    # FAST settle
    (240, 360),    # back to front
]

# X rotation (vertical tilt - over/under)
kf_x = [
    (1,   0),
    (30,  0),
    (75,  15),     # slight tilt on right
    (120, 0),      # level on back
    (135, -20),    # tilt down on left
    (165, -45),    # going under
    (180, -60),    # under/bottom view
    (210, -30),    # coming back up
    (240, 0),      # level again
]

for f, d in kf_z:
    tgt.rotation_euler[2] = math.radians(d)
    tgt.keyframe_insert(data_path='rotation_euler', index=2, frame=f)

for f, d in kf_x:
    tgt.rotation_euler[0] = math.radians(d)
    tgt.keyframe_insert(data_path='rotation_euler', index=0, frame=f)

# BEZIER interpolation for speed ramp easing
action = tgt.animation_data.action
strip = action.layers[0].strips[0]
for cb in strip.channelbags:
    for fc in cb.fcurves:
        for kp in fc.keyframe_points:
            kp.interpolation = 'BEZIER'
            kp.easing = 'AUTO'

Step 3: Render + Encode

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

Notes

  • This animation is longer (10s) due to the speed ramps needing time to breathe
  • If Blender freezes on large meshes, encode whatever frames completed — partial render is usable
  • The speed ramp effect comes from BEZIER curves with uneven keyframe spacing

Frequently asked questions

What does the Dynamic Full Loop AI skill do?

Dynamic camera loop with speed ramping - slow reveals on each face, fast whips between. Shows all sides including top and bottom.

Why use Dynamic Full Loop on TypingMind?

Because you install it once and use it with any model. Dynamic Full Loop 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 Dynamic Full Loop in TypingMind?

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

Which AI models can use Dynamic Full Loop?

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 Dynamic Full Loop?

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

Is the Dynamic Full Loop 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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