channel-economics-analyzer vs llm-router

Two General Claude Code skills, side by side. Pick the right skill for your workflow with a side-by-side look at metadata, sample code, and install commands.

Side-by-side

Tag overlap

Sample code from each SKILL.md

NET_REVENUE = GROSS_REVENUE - REFUNDS
MARKETPLACE_FEE = NET_REVENUE × FEE_RATE
GROSS_PROFIT = NET_REVENUE - COGS - MARKETPLACE_FEE - SHIPPING_TOTAL
OPERATING_PROFIT = GROSS_PROFIT - AD_SPEND - RETURNS_HANDLING

CONTRIBUTION_PER_ORDER = (NET_REVENUE - COGS - MARKETPLACE_FEE - SHIPPING) / ORDERS
BREAK_EVEN_ORDERS = AD_SPEND_TOTAL / CONTRIBUTION_PER_ORDER

CHANNEL_HEALTH = OPERATING_PROFIT / NET_REVENUE × 100

flowchart TD
  A{Task type?} -->|Classify / validate / format / extract| T1["Tier 1: Haiku, GPT-4o-mini (~$0.001)"]
  A -->|Write / implement / review / synthesize| T2["Tier 2: Sonnet, GPT-4o (~$0.01)"]
  A -->|Reason / architect / judge / decompose| T3["Tier 3: Opus, o1 (~$0.10)"]
  
  T1 --> Q1{Quality sufficient?}
  Q1 -->|Yes| Done1[Use cheap model]
  Q1 -->|No| T2
  
  T2 --> Q2{Quality sufficient?}
  Q2 -->|Yes| Done2[Use balanced model]
  Q2 -->|No| T3

When to choose each

channel-economics-analyzer — Use when an e-commerce business sells across multiple channels (own shop, Amazon, OTTO, eBay, Etsy, Zalando, etc.) and wants to know which channel is actually profitable vs which is bleeding money — e.g. "which channel…

llm-router — Selects the optimal LLM model and provider for each task based on complexity, cost budget, and capability requirements. Routes cheap tasks to Haiku/GPT-4o-mini and complex tasks to Sonnet/Opus/o1. Use when deciding…

Both are free to install. If you're unsure, install both — Claude Code skills are isolated by filename and only collide if their trigger phrases overlap (rare). The richest signal is the SKILL.md body itself — open both skill pages and read the first paragraph of each.

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