3dgs-compression-deploy skillA
3dgs-compression-deploy is agent-read markdown (skill) from jaccen/awesome-gaussian-skills: 3DGS compression-to-deployment pipeline: quantization (scalar/VQ/mixed-precision), pruning (coreset/adaptive/variational/merge/Bayesian), progressive streaming & LoD, Web/WebGPU/mobile deployment, hardware acceleration (Tensor Core/GEMM/FPGA/ASIC), training-free semantic compression. Covers 53+ methods across 6 compression categories. Use when: compressing 3DGS models, deploying 3DGS to web/mobile/edge, selecting quantization bit-width, designing streaming pipelines, 3DGS压缩/量化/剪枝/部署/流式传输/移动端/硬件加.
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# 3DGS Compression & Deployment
> End-to-end pipeline from raw 3DGS model to deployed application. Covers 6 compression categories + 4 deployment targets + hardware acceleration.
## Capabilities
- Analyze 3DGS model attributes (position, SH, opacity, scale, rotation) and recommend compression strategy
- Select quantization method and bit-width per attribute (scalar, VQ, mixed-precision)
- Design pruning pipeline (coreset, adaptive, variational, merge-based)
- Plan VQ codebook architecture and residual coding
- Architect progressive streaming and LoD systems (static and 4D dynamic)
- Guide platform-specific deployment (WebGL, WebGPU, iOS/Android, desktop)
- Evaluate hardware acceleration paths (Tensor Core, GEMM, FPGA, ASIC)
- Estimate compression ratio, quality loss, and rendering speed for each method combination
## Compression Pipeline
```
Raw 3DGS Model
│
▼
[Step 1] Analysis ── attribute profiling, bottleneck identification
│
▼
[Step 2] Strategy Selection ── target platform → compression recipe
│
▼
[Step 3] Pruning ── reduce Gaussian count (coreset / adaptive / variational / merge)
│
▼
…Read the whole file at its exact version.
How to install
mdr add jaccen/awesome-gaussian-skills/3dgs-compression-deploy@v1.1.1mdr add jaccen/awesome-gaussian-skills/3dgs-compression-deploy@sha256:7952bcf57af4004aPin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_jme3vzyx3btpi255)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.1.1 latest | 2026-09-22 | de154fa | 23,341 B | A | view · diff |
| v1.1.1 | 2026-08-07 | 896e6a8 | 22,913 B | A | view · diff |
| v1.1.1 | 2026-07-23 | 3749223 | 22,867 B | A | view · diff |
| v1.1.0 | 2026-07-14 | a2f8ab8 | 22,612 B | A | view · diff |
| v1.0.0 | 2026-07-09 | c71345c | 22,251 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (23341 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
jaccen/awesome-gaussian-skills · 157 stars · license Apache-2.0 · pushed 2026-09-22 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_jme3vzyx3btpi255 GET https://markdownregistry.com/api/v1/resolve?ref=jaccen/awesome-gaussian-skills/3dgs-compression-deploy GET https://markdownregistry.com/api/v1/blob/7952bcf57af4004a7f661af9c2c783c24882d314478cb6ecc584cffb80b533c9
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