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predictive-resource-allocation

v0.1.0

Predict where a render, simulation or training job will bottleneck, and what to change first.

Claude Code1 Skill1 MCP serverstdio

By Fars SaadeldinLicense: UNLICENSED0 GitHub starsUpdated 5 days ago

Directory evidence

Runtimes
Claude Code
Parsed components
2 skill or MCP entries
Source updated
Sep 18, 2026
Manifest status
Canonical path parsed

The directory validates manifest shape and source location. It does not execute the plugin or provide a security endorsement. Review the indexing methodology →

Install predictive-resource-allocation for Claude Code

Installs for the current user
claude plugin marketplace add IchenDEV/agent-plugin-mkt
claude plugin marketplace update agent-plugin-marketplace
claude plugin install predictive-resource-allocation@agent-plugin-marketplace

Paste and run these commands in a terminal with Claude Code. They add and refresh the PluginsMP catalog, then install this plugin.

The installer fetches third-party code from the source repository shown on this page. This directory validates manifest structure and source location, but does not perform a security audit; review the manifest, components, and source before installing.

Get the source manually
git clone https://github.com/farssaadeldin7-ux/claude-plugin-suite

Clone the source repository, then follow its setup instructions to add the plugin to a compatible client. The plugin root is plugins/predictive-resource-allocation/.

Plugin files

plugins/predictive-resource-allocation/
├── .claude-plugin/plugin.json
├── skills/predictive-resource-allocation/SKILL.md
└── .mcp.json

Included Skills1

predictive-resource-allocationskills/predictive-resource-allocation/SKILL.md

This skill should be used when someone wants to know where a render, simulation or training job will bottleneck and what to change first — "why is my render so slow", "will this scene fit in 24GB", "my sim is taking 40 minutes a frame", "should I buy a 5090 or more RAM", "how do I speed up this training run", "am I CPU or GPU bound", "my GPU is at 30% utilisation", "out of memory at batch size 8", "is it worth sending this to the farm", "how long will this take to render". Also use it to size hardware before a purchase, to plan a shot or a training run against a deadline, and to decide between spot and on-demand cloud instances.

MCP servers1

predictive-resource-allocationstdio
command
node
args
${CLAUDE_PLUGIN_ROOT}/mcp/server.js
env.PLUGIN_SUITE_BILLING_URL
${PLUGIN_SUITE_BILLING_URL}
env.PREDICTIVE_RESOURCE_ALLOCATION_LICENSE_KEY
${PREDICTIVE_RESOURCE_ALLOCATION_LICENSE_KEY}

MCP configuration uses runtime-provided plugin path placeholders such as ${PLUGIN_ROOT} or ${CLAUDE_PLUGIN_ROOT}. Review the manifest for the runtime-specific expansion rules.

Plugin manifests1

plugins/predictive-resource-allocation/.claude-plugin/plugin.json
{
  "name": "predictive-resource-allocation",
  "version": "0.1.0",
  "description": "Predict where a render, simulation or training job will bottleneck, and what to change first.",
  "author": {
    "name": "Fars Saadeldin"
  },
  "license": "UNLICENSED",
  "keywords": [
    "3d",
    "vfx",
    "rendering",
    "gpu",
    "performance",
    "data-science"
  ]
}

For maintainers

If you maintain this plugin, link to this source-backed listing from your README so users can review its manifest and indexed components.

[predictive-resource-allocation on Agent Plugins Marketplace](https://pluginsmp.com/plugins/predictive-resource-allocation)