Token导航 LogoToken导航TokenDH.com
前端设计需要联网github未标认证来源可访问许可证需确认审计通过

glb-compressor-libraryglb 压缩器库

Agent Skill

glb-compressor-library 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

303

周安装

13

GitHub Stars

公开资料未说明

下载量

106
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:glb-compressor-library(glb 压缩器库)
来源仓库:https://github.com/kjanat/glb-compressor
仓库路径:skills/glb-compressor-library
安装命令:
npx skills add https://github.com/kjanat/glb-compressor --skill glb-compressor-library
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/kjanat/glb-compressor --skill glb-compressor-library

简介

glb-compressor-library 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中围绕仓库状态、代码变更或协作事项进行整理。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装并使用。
  • 安装前需确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。
  • 建议结合来源仓库和原始 README 核验具体用法和功能细节。

SKILL.md

glb-compressor Library

Programmatic API for multi-phase GLB/glTF compression. Skinned-model-aware pipeline with gltfpack-first strategy and meshopt WASM fallback.

Quick Start

import { compress, init, PRESETS } from 'glb-compressor';

await init(); // Pre-warm WASM (optional, called automatically)
const glbBytes = await Bun.file('model.glb').bytes();
const result = await compress(glbBytes, { preset: 'aggressive' });
await Bun.write('out.glb', result.buffer);

Package Exports

import { ... } from 'glb-compressor';        // Library API
import { ... } from 'glb-compressor/server';  // Server (guarded by import.meta.main)
import { ... } from 'glb-compressor/cli';     // CLI entry

Conditional exports: "bun" field for Bun runtime, "node" for Node.js.

Core API

init(): Promise<void>

Pre-warm Draco + Meshopt WASM and configure glTF-Transform I/O. Called automatically by compress(), but can be called at boot to eliminate cold-start latency. Safe to call multiple times (shared promise).

compress(input, options?): Promise<CompressResult>

Main entry point. Runs the full 6-phase pipeline.

Parameters:

ParamTypeDescription
inputUint8ArrayRaw GLB file bytes
options.presetCompressPreset'default' \'balanced' \'aggressive' \'max'
options.simplifyRationumberAdditional simplification in (0, 1)
options.onLog(msg) => voidProgress callback (used by SSE)
options.quietbooleanSuppress console output

Returns: CompressResult

interface CompressResult {
	buffer: Uint8Array; // Compressed GLB binary
	method: string; // 'gltfpack' | 'meshopt'
	originalSize?: number; // Input byte count
}

getHasGltfpack(): boolean

Whether the gltfpack binary was found during initialization.

In This Reference

FilePurpose
api.mdFull API surface: types, constants, utilities
transforms.mdCustom glTF-Transform transforms for a-la-carte use

Reading Order

TaskFiles to Read
Basic compressionThis file only
Custom pipeline / advancedThis file + transforms.md
Full type referenceThis file + api.md

Pipeline Phases

  1. Cleanup - dedup, prune, remove unused UVs (+ flatten/join/weld for static)
  2. Geometry - merge by distance, remove degenerate faces, auto-decimate
  3. GPU - instancing, vertex reorder, sparse encoding
  4. Animation - resample keyframes, remove static tracks, normalize weights
  5. Textures - compress to WebP via sharp (max 1024x1024)
  6. Final - gltfpack (preferred) or meshopt WASM (fallback)

Skinned Model Awareness

When skins are detected, the pipeline automatically skips destructive transforms: flatten, join, weld, mergeByDistance, reorder, quantize, and auto-decimate. This prevents broken skeletons, weight denormalization, and mesh clipping.

Presets

type CompressPreset = 'default' | 'balanced' | 'aggressive' | 'max';
PresetSkinned behaviorStatic behavior
default-vp 20 -kn-vp 16
balanced+ animation quant (-at 14 -ar 10 -as 14 -af 24)Same + -vp 16
aggressive+ stronger quant (-at 12 -ar 8 -as 12 -af 15)Same + -vp 14
max+ supercompression (-cz), simplify (-si 0.95)Same

Anti-Patterns

  • Don't flatten/join/weld/quantize skinned models.
  • Don't import from cli/ or server/ - lib is the dependency root.
  • Don't bypass mod.ts barrel for public API additions.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

33.38%
按下载量换算35

Claude

29.68%
按下载量换算31

Cursor

21.8%
按下载量换算23

Gemini CLI

9.66%
按下载量换算10

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills