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forge-asset-pipeline

Scaffold a plugin-based asset pipeline with TOML configuration and SHA-256 fingerprinting.

36|6|Updated Mar 25, 2026
Search Tags:#fingerprinting#asset-pipeline#cli-tools#plugin-discovery#incremental-build#toml-config
One-click install
npx skills add https://github.com/Nebulavenus/forge-gpu --skill forge-asset-pipeline-nebulavenus
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: forge-asset-pipeline
Source: https://github.com/Nebulavenus/forge-gpu/tree/main/.claude/skills/forge-asset-pipeline
Command: npx skills add https://github.com/Nebulavenus/forge-gpu --skill forge-asset-pipeline-nebulavenus

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Scaffold a plugin-based asset processing pipeline with a CLI, enabling plugin discovery, content-hash fingerprinting, and TOML configuration to empower teams to build incremental, scalable tooling for asset processing.

Core Features & Use Cases

  • Plugin discovery via importlib to automatically register new asset processors without editing core code.
  • Content-hash fingerprinting (SHA-256) to determine NEW, CHANGED, or UNCHANGED files for reliable incremental builds.
  • TOML-configured pipelines with a structured, typed config (PipelineConfig) and per-plugin settings.
  • A reusable architecture that supports asset pipelines, build systems, static-site tooling, and similar scan-and-transform workflows.

Quick Start

Create a new project skeleton using the provided templates and run the CLI to bootstrap configuration, plugin discovery, and the initial asset scan.

Frequently Asked Questions about forge-asset-pipeline

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I set up an incremental asset pipeline with content hashing?▼

An incremental asset pipeline uses SHA-256 content hashing to classify files as NEW, CHANGED, or UNCHANGED. This detects modified assets reliably, ensuring incremental builds only reprocess files with actual content changes.

What is plugin discovery for asset processing pipelines?▼

Plugin discovery for asset pipelines automatically registers new processors via Python's importlib. This mechanism allows teams to add asset transformations without editing core code, streamlining pipeline extensibility.

Can I configure asset pipeline settings using TOML?▼

Yes, you can configure asset pipeline settings using TOML. The framework enforces a typed PipelineConfig structure to manage global pipeline behavior and per-plugin settings directly from a TOML file.

How do I bootstrap a Python-based static site build system?▼

Bootstrap a Python-based static site build system by scaffolding a plugin-based asset pipeline. This provides a ready-made architecture with a CLI, persistent cache, and TOML configuration for scan-and-transform workflows.

Does this pipeline framework require specific dependencies to run?▼

No, the pipeline framework requires no external dependencies to run. It is a self-contained Python implementation that uses standard libraries like importlib for plugin discovery and hashlib for SHA-256 fingerprinting.

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