42-title-optimizer 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

/42:title-optimizer <url>                        # Fetch page, analyze, 3 rounds
/42:title-optimizer <url> --rounds 1             # Quick: 1 round, 5 variations
/42:title-optimizer <url> --focus discover        # Optimize for Google Discover
/42:title-optimizer <url> --focus serp            # Optimize for search title tags
/42:title-optimizer "<title>" --content <file>   # Manual title + content from file
/42:title-optimizer "<title>" --content "<text>" # Manual title + inline content

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

42-title-optimizer — Iterative title tag and headline optimizer with multi-round refinement. Generates 5 variations per round across 3 rounds (diverge, refine, polish) with transparent scorin — from chapter42/42-SEO-Skills

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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