Performance Evaluation is a Data skill for Claude Code, published by minhnv0807 in ai-business-skills.
Performance Evaluation diagnoses poor marketing results by tracing issues across tracking, delivery, creative, landing pages, offer, and audience quality. Use it when CPA rises, ROAS drops, or a screenshot of metrics needs a root-cause review and 48-hour action plan.
Performance Evaluation is cataloged under Data on DirSkills. Performance Evaluation comes from a repository tagged agent-skills, ai-agents, ai-avatar, anthropic and chatgpt.
Documentation
Diagnose marketing performance — paid ads, organic, funnel — find root cause, propose optimization with 48h action plan and weekly checklist. Region variants (US/EU/SEA/LATAM) provide localized benchmarks.
If you've never done a performance review:
This is the opening of the README. Read the full README on GitHub.
Performance Evaluation is one of 25 skills that DirSkills catalogs from minhnv0807/ai-business-skills, the repository it ships in. Its siblings there include A/B Test Setup, AI Business Skills and Ad Copy Global. Each one is a separate skill with its own page in this directory, installs the same way Performance Evaluation does, and is maintained by minhnv0807 in that same repository. The rest of the collection is listed on the minhnv0807/ai-business-skills page.
Performance Evaluation ranks #578 by stars among the 668 Data skills in this catalog. The most-starred ones next to it are Benchmark Methodology, Jupyter Notebook and Solana. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Performance Evaluation against them. Open each page to compare what they document and how they install.
Performance Evaluation is one of 25 skills cataloged on DirSkills from minhnv0807/ai-business-skills.
Performance Evaluation is one of 668 Data skills cataloged on DirSkills, ranked #578 by stars among them.