What is the Assignment Matrix?

It is a structured output that maps specific project tasks to specific LLMs with cost estimates and rationales based on current market data.

Can this help reduce my AI development costs?

Yes, it identifies cheaper models for routine tasks like documentation or unit testing while reserving expensive flagship models only for complex architecture.

Does it support vision-capable models?

Yes, the categorization logic specifically prioritizes vision-capable and UI-aware models for frontend and UI-related development tasks.

How does it handle large codebases?

The skill includes session splitting strategies and checkpointing recommendations to prevent context loss during complex, multi-file operations.

Why does this skill use WebSearch instead of built-in scores?

LLM capabilities and pricing change frequently; WebSearch ensures you use the most current data rather than outdated hardcoded values or assumptions.

LLM Capability Matcher

Name: LLM Capability Matcher
Author: Ankurjain1121

byAnkurjain1121

0•

生産性とワークフロー

Optimizes multi-agent development by matching specific coding tasks to the most cost-effective and capable LLMs using real-time research.

This skill provides a structured framework for orchestrating multi-agent development workflows by intelligently assigning tasks to the most suitable Large Language Models. Instead of relying on static or outdated benchmarks, it utilizes real-time web research to verify current model capabilities, pricing, and context window sizes. It empowers developers to manage tight budgets, avoid context loss through session splitting, and ensure high-quality code by pairing specific domains—such as architecture, frontend, or testing—with the specific models best equipped to handle them at that moment.

主な機能

010 GitHub stars

02Domain-specific task categorization for architecture, backend, UI, and DevOps

03Session splitting protocols to prevent context loss in large codebases

04Granular token-based cost estimation and budget management strategies

05Automated assignment matrix generation for multi-agent project planning

06Live capability and pricing research via WebSearch to bypass outdated benchmarks

ユースケース

01Orchestrating a complex development project across multiple AI models to minimize costs

02Verifying the latest LLM benchmarks and pricing before initiating a large-scale refactor

03Creating a multi-agent task distribution plan for teams using diverse AI tooling

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add ankurjain1121/dev-workflow-skills llm-capability-matching

For use in Claude.ai and ChatGPT

Download Skill