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AI-powered conversion rate optimization: landing page audits, CRO scoring, survey segmentation, and lead magnet generation. Use when asked to audit a landing page, run a CRO analysis, segment survey responses, or generate lead magnets. For content quality scoring see content-ops.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Use when adversarially reviewing a document that makes formal or technical claims — math derivations, physics papers, statistical analyses, benchmark reports, whitepapers. Inventories every equation and quantitative claim, verifies each AS NAMED in the text (never a paraphrase or a neighboring statement), and classifies VERIFIED / REFUTED / UNVERIFIABLE / VACUOUS. Triggers on "check this paper", "verify these claims", "is this derivation right", "review this proof", "audit this benchmark", "does the math hold up". For source-code review see code-review-and-quality; for skill/agent library audits see skill-library-review; for content quality scoring see content-ops.
Run Karpathy-style autoresearch optimization on any content. Generates 50+ variants, scores with a 5-expert simulated panel, evolves winners through multiple rounds, outputs optimized version + full experiment log. Use when optimizing landing pages, email sequences, ad copy, headlines, form pages, CTA text, or any conversion-focused content. Triggers on "optimize this page", "run autoresearch", "score these variants", "A/B test this copy".
Tests in real browsers. Use when building or debugging anything that runs in a browser. Use when you need to inspect the DOM, capture console errors, analyze network requests, profile performance, or verify visual output with real runtime data via Chrome DevTools MCP.
Conducts multi-axis code review across correctness, readability, architecture, security, and performance. Use before merging any change. Use when reviewing code written by yourself, another agent, or a human. Triggers on "review my PR", "review this diff", "code review", "review this changeset", "is this ready to merge", "pre-merge review".
Estimate the full development cost of an existing codebase from lines of code, architectural complexity, and team-composition overhead. Use for 'how much would this cost to build', 'what did this codebase cost', development-cost or build-cost estimates, calendar-time estimates, and Claude/AI ROI on a delivered codebase. Estimates by measured LOC and complexity, not by ticket volume.
Auto-assembles a domain-specific expert panel (7–10 experts), scores any content or strategy artifact against a typed rubric, and iterates until the aggregate hits 90+ (max 3 rounds). Use as a quality gate on copy, email sequences, landing-page drafts, strategy docs, charts, titles, or recruiting evaluations — or when another skill needs a final review gate on its output. Triggers on "expert panel this", "score this", "rate these variants", "quality check this", "panel review", "expert score", "evaluate this copy/strategy/page". For variant generation and multi-round conversion optimization see autoresearch; for live-URL CRO auditing see conversion-ops; for the scripted content-production pipeline see content-pipeline.
| name | conversion-ops |
| description | AI-powered conversion rate optimization: landing page audits, CRO scoring, survey segmentation, and lead magnet generation. Use when asked to audit a landing page, run a CRO analysis, segment survey responses, or generate lead magnets. For content quality scoring see content-ops. |
| when_to_use | Use when auditing a landing page for CRO (scoring headline clarity, CTA visibility, social proof, trust signals, form friction, mobile responsiveness), segmenting survey responses by pain point, generating lead magnet briefs from survey data, or doing batch CRO analysis across multiple URLs. Not when: the goal is quality-scoring content copy or strategy docs against an expert panel — use `content-ops`. Not when the task is generating and multi-round-optimizing copy VARIANTS pre-launch (50+ variants scored by a simulated panel, winners evolved over rounds) rather than auditing a live URL — use `autoresearch`. |
| compatibility | Requires Bash (Python 3 where scripts are invoked). Works in Claude Code and Codex via install.sh. |
AI-powered conversion rate optimization: landing page audits, CRO scoring, survey segmentation, and lead magnet generation.
scripts/cro_audit.py)Fetches a landing page and scores it across 8 conversion dimensions (0–100 each): Headline Clarity, CTA Visibility, Social Proof, Urgency, Trust Signals, Form Friction, Mobile Responsiveness, Page Speed Indicators.
Output: per-dimension scores, priority fixes ranked by impact, before/after suggestions, industry benchmark comparison, overall letter grade (A+–F).
See references/cro-audit.md for full CLI usage and supported industries.
scripts/survey_lead_magnet.py)Ingests survey CSV data, clusters respondents by pain point, and generates lead magnet briefs for each segment.
Output: pain point clusters with respondent counts, segments ranked by size and commercial potential, per-segment lead magnet brief (title, format, hook, content outline, CTA, viral/conversion scores), prioritized implementation roadmap.
See references/survey-lead-magnet.md for full CLI usage and CSV format details.
No API keys required. Both tools work with local analysis only.
See references/recommended-workflow.md for environment variables, dependencies, and recommended weekly/monthly cadence.