Audit websites for accessibility issues and WCAG compliance. Use when checking accessibility, fixing a11y issues, or ensuring WCAG compliance.
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OneWave-AI/claude-skills3682026年10月20日 更新
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lookalike-customer-finder
Input your best customers and find 100+ companies that match the profile. Uses firmographic data, tech stack, growth signals, and similarity scoring to identify ideal prospects. Use when building target account lists or expanding to new markets.
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查看安装方法包含的文件（5）
- SKILL.md1.8 KB
- references/data-sources.md448 B
- references/examples.md956 B
- references/output-template.md7.9 KB
- references/scoring-model.md692 B
SKILL.md（原文）
安装前可以查看交给 AI 代理的指令内容。
Lookalike Customer Finder
Analyze a company's best customers and find similar companies that match the same profile, producing a high-quality, ranked target account list.
Contents
references/scoring-model.md- Profile dimensions, weighted scoring model, and score bands.references/output-template.md- Full Markdown report structure (ICP, ranked lookalikes, market insights, targeting strategy, action plan).references/data-sources.md- Recommended enrichment tools and data points to gather.references/examples.md- Best practices, trigger phrases, and an example request.
Workflow
- Collect the best customers provided. If none are given, ask for the top 5-10 accounts.
- Analyze common characteristics across them. See
references/scoring-model.mdfor the five profile dimensions. - Build the Ideal Customer Profile (ICP) from those shared traits.
- Search the market for companies matching the ICP. Pull firmographics, tech stack, growth signals, and contacts from the tools in
references/data-sources.md. - Score each candidate 0-100 using the weighted scoring model in
references/scoring-model.md. - Rank and tier the companies by score (Tier 1: top 10, Tier 2: next 40, Tier 3: next 50).
- Produce the report following
references/output-template.md, including market insights, a tiered targeting strategy, and a quick-start action plan. - Apply the best practices in
references/examples.mdthroughout: favor quality over quantity, weight growth signals, and enrich contacts before recommending outreach.
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