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.
| Name | 42-title-optimizer | langchain-eval-harness |
|---|---|---|
| Description | Iterative title tag and headline optimizer with multi-round refinement. Generates 5 variations per round across 3 rounds (diverge, refine, polish) with transparent scoring on 7 dimensions. Accepts URL, file path, or… | Build reproducible evaluation pipelines for LangChain 1.0 chains and LangGraph 1.0 agents — golden datasets, LangSmith evaluate(), ragas RAG metrics, deepeval LLM-as-judge, agent trajectory analysis, and CI gating on… |
| Category | General | General |
| Sub-category | general-misc | general-misc |
| Tags | — | ai:llm type:debug |
| Author | chapter42 | Jeremy Longshore <[email protected]> |
| License | — | MIT |
| Install | /add-skill 42-title-optimizer | /add-skill langchain-eval-harness |
/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# evals/golden_set/v2026.04.jsonl
{"id": "gs-0001", "input": "Refund policy for SKU ABC-42?", "expected": "30 days with receipt", "contexts": ["policy_v3.md"], "tags": ["refund"], "difficulty": "easy", "dataset_version": "2026.04"}
{"id": "gs-0002", "input": "Return policy for opened software?", "expected": "No, opened software is final sale", "contexts": ["policy_v3.md#returns"], "tags": ["refund"], "difficulty": "medium", "dataset_version": "2026.04"}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 scoring on 7 dimensions. Accepts URL, file path, or…
langchain-eval-harness — Build reproducible evaluation pipelines for LangChain 1.0 chains and LangGraph 1.0 agents — golden datasets, LangSmith evaluate(), ragas RAG metrics, deepeval LLM-as-judge, agent trajectory analysis, and CI gating on…
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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