CloudVolume Video Agent Skill

Prepare and verify Neuroglancer precomputed EM data, then create reproducible scientific videos and review figures from CloudVolume…

Context cost
11.7k tokensestimated from the bundle, loaded when it triggers
Bundle
16 files · 172.4 kB7 scripts among them — read before you run
Licence
not declarednone named by its author
Last change
—no release on file
Servers it uses
Noneruns standalone

What it does

Prepare and verify Neuroglancer precomputed EM data, then create reproducible scientific videos and review figures from CloudVolume datasets. Use for NPY/TIFF/Zarr-to-precomputed conversion; bounded 1 mm context views; segmentation and structure-density presentation; seeded-random or representative local-field camera tours; localhost Neuroglancer handoff; existing or bounded label-derived meshes; and delivery verification. Supports one requested stage or an end-to-end package. Do not invent anatomical region names, infer biological labels, or turn a single 2D section into claimed 3D geometry.

What this skill changes about the agent has not been set out here as a list. Its SKILL.md, shown below, says it in the author’s own words.

data science

The skill itself

A skill is instructions the model reads, so you can see what you are getting: below is the start of its SKILL.md. The front matter loads with every session, the body loads when the skill triggers, and the whole file comes with the install.

SKILL.md9.4 kB · preview
--- name: cloudvolume-video ---
6# CloudVolume Video
7
8Treat this Skill as a set of presentation and verification capabilities. Route the request to the smallest valid stage, reuse supplied artifacts, and keep raw data immutable.
9
10## Route the request
11
12| User intent | Capability | Script |
13| --- | --- | --- |
14| Convert NPY/TIFF/Zarr arrays or verify an existing precomputed source | precomputed inspect, prepare, or verify | neuroglancer_precomputed.py |
15| Generate a viewer state/URL or safely serve local precomputed data | precomputed handoff or serve | neuroglancer_precomputed.py |
16| Inspect datasets, scales, bounds, alignment, or mesh availability | audit or mesh audit | cloudvolume_video.py, cloudvolume_mesh.py |
17| Plan a local-field story before rendering | storyboard | cloudvolume_video.py |
18| Render raw/segmentation overlays, density maps, and a smooth local camera tour | render | cloudvolume_video.py |
19| Retrieve an existing mesh or extract one from a bounded 3D label ROI | mesh export | cloudvolume_mesh.py |
20| Preview a mesh from four angles or make a headless turntable | mesh storyboard or mesh render | cloudvolume_mesh.py |
21| Check video decoding, frame metadata, contact sheets, and hashes | verify | the corresponding script |
22| Package an approved 2D delivery | finalize | cloudvolume_video.py |
23
24If inputs are arrays rather than precomputed, use precomputed inspect → prepare
This is a preview of SKILL.md. Download or install the skill to get the whole thing.
In the file
SKILL.md1,271 words
Files16
Licencenot declared
Why you can read it

Nothing in a skill executes. The client loads the text and the model follows it, so a skill can be audited the way a runbook is — by reading it.

What it costs in context

Skills are not billed by the call. They are paid for in context: every token the instructions occupy is a token your code, your diff and your conversation cannot use. Here is what this one takes and when it takes it.

≈160
always loaded
The name and description, so the model knows the skill exists and when to reach for it.
11,490
on trigger
The instruction body and 15 supporting files, read only when the skill fires.
5.8%
of a 200k window
Ten skills this size would take about 58% of the window before you open a file.
050k100k150k200k context window

11.7k tokens, estimated from the bundle at four bytes to the token, held for the rest of the session once it triggers. Heavy. Teams tend to install this one per project rather than globally, and load it only when the job comes up.

Servers bill, skills cost

A server charges by the month. A skill charges once per session, in context, and then keeps charging it for as long as the session lives.

Before and after

The same question, put to the same model twice: once as it comes, and once with these instructions loaded.

No worked example has been published for this skill yet.

The procedure it runs

The procedure has not been set out here step by step. It is in the body of its SKILL.md: the start of it is shown above, and the whole file comes with the install.

Prose, not code

These steps are written for a model to follow, not executed by a runtime. It can still be told to skip one, and it will say so when it does.

Servers it uses

None. This skill calls no MCP servers at all.

Everything it needs is in the instructions, so it works in a project with nothing connected — the model reads the file and changes how it works with what it can already reach.

Its SKILL.md does not declare which tools it asks the agent for, so what it touches is whatever the instructions themselves ask for — read them before you install it.

What it asks for
Writes filesnot declared
Network accessnot declared

This SKILL.md carries no allowed-tools line, so neither is declared. A skill grants no permissions of its own — it can only ask for tools your client already has.

What it will not do

Every skill is narrow, and the useful ones say where they stop. These are the jobs this one is the wrong tool for.

What this skill is not for has not been published here. Nothing is implied by that: it is a section the author has not filled in.

What is in the bundle

16 files, 172.4 kB on disk. Mostly text — the instructions the model reads — with 7 scripts in it that your client would run only if the instructions tell it to.

  • SKILL.md9.4 kB
  • agents/openai.yaml0.3 kB
  • assets/project.example.json3.3 kB
  • evals/evals.json4.0 kB
  • references/config-schema.md10.4 kB
  • references/mesh-contract.md2.1 kB
  • references/operations.md6.5 kB
  • references/precomputed-contract.md5.5 kB
  • references/quality-gates.md5.1 kB
  • scripts/cloudvolume_mesh.py24.3 kB
  • scripts/cloudvolume_video.py55.7 kB
  • scripts/neuroglancer_precomputed.py23.7 kB
  • scripts/scaffold_config.py4.0 kB
  • tests/test_camera_motion.py6.6 kB
  • tests/test_mesh_pipeline.py5.0 kB
  • tests/test_precomputed_pipeline.py6.5 kB
What is not in it

A skill installs nothing and depends on nothing: it is a folder your client reads. This one carries 7 scripts beside the text, so the bundle is 16 files you can review in full before installing.

Install

Installing copies the bundle into your project. Nothing runs at install time — the files sit on disk until the model reads them.

# CloudVolume Video · 11.7k tokens when loaded · macOS, Linux mkdir -p .claude/skills && t=$(mktemp -d) && curl -fsSL -o "$t/bundle.tar.gz" https://mcprush.com/api/skills/cloudvolume-video/bundle.tar.gz && tar -xzf "$t/bundle.tar.gz" -C "$t" && [ -d "$t/cloudvolume-video" ] && { [ ! -e .claude/skills/cloudvolume-video ] || { mv .claude/skills/cloudvolume-video "$t/.previous" && echo "Previous copy moved to $t/.previous"; }; } && mv "$t/cloudvolume-video" .claude/skills/ && echo "Installed .claude/skills/cloudvolume-video"
On Windows, or any OS with Node 20+
npx mcprush@latest skill add yanchaoz/cloudvolume-video

Windows PowerShell says 'running scripts is disabled on this system'? Run Set-ExecutionPolicy -Scope CurrentUser RemoteSigned once, or type npx.cmd instead of npx (codex.cmd, gemini.cmd, grok.cmd likewise). PowerShell 7 needs neither. Writes to .claude/skills/cloudvolume-video/ in the current project. For every project instead, run mkdir -p ~/.claude/skills && t=$(mktemp -d) && curl -fsSL -o "$t/bundle.tar.gz" https://mcprush.com/api/skills/cloudvolume-video/bundle.tar.gz && tar -xzf "$t/bundle.tar.gz" -C "$t" && [ -d "$t/cloudvolume-video" ] && { [ ! -e ~/.claude/skills/cloudvolume-video ] || { mv ~/.claude/skills/cloudvolume-video "$t/.previous" && echo "Previous copy moved to $t/.previous"; }; } && mv "$t/cloudvolume-video" ~/.claude/skills/ && echo "Installed ~/.claude/skills/cloudvolume-video" (macOS, Linux) — or add --global to the npx line. The curl line replaces .claude/skills/cloudvolume-video/ only after the download succeeds, so files left there by another skill of the same name, or by an older release, do not mix in. A copy already there is moved aside, not deleted, and the line prints where.

Which clients pick it up on their own

A skill is a folder of text. Most of these read a skills folder and pick it up without being told; the rest take the same folder another way — an upload in the app, a parameter on an API call — and then choose it by its description just the same.

Claude Code.claude/skills/
Claude DesktopCustomize › Skills
ChatGPTSkills › Create › Upload
Cursor.cursor/skills/
VS Code.github/skills/
Codex CLI.agents/skills/
Gemini CLI.gemini/skills/
Grok Build.grok/skills/
Microsoft CopilotSkills › Upload a skill
PerplexityComputer › Skills › Upload a skill
DeepSeek Harness.dsh/skills/
Zed.agents/skills/
Devin Desktop.devin/skills/
Windsurf (legacy).windsurf/skills/
OpenAI Agents SDKInstructions or sandbox Skills
HTTP / APIa request parameter
This release
Versionnot versioned
Publishedno release date on file
PriceFree
Referenceyanchaoz/cloudvolume-video

Versions

Its author publishes no version number, so there is nothing here to pin to: what you install is the folder as it stands today. Instructions change more often than APIs do — a skill can be rewritten entirely without anything it depends on moving.

Pinning

Nothing to pin to: this skill carries no version number of its own. What you install is what the folder holds on the day you install it.

Reviews

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