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yao-deepseek-crawler

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Use when a user provides DeepSeek web AI-search keywords, repeat count, target entity, and entity type, then needs repeated fresh-window crawls aggregated into JSON plus a Kami HTML GEO report. Not for generic website crawling, DeepSeek API chat, SEO writing, or one-off answer generation.

skills/yao-deepseek-crawler/SKILL.md

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Oct 1, 2026
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MIT

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# Yao DeepSeek Crawler

## Inputs

Standard inputs: keywords/questions, repeat count, target entity, entity type (`人/person`, `公司/company`, `产品/product`), browser profile, and optional output directory. Competitors must match the target type. Reports default to Simplified Chinese with an English summary toggle.

## Workflow

1. Read `references/user-setup-and-usage.md` for install, prerequisites, and user-facing steps.
2. Read `references/deepseek-crawl-workflow.md` for crawler setup, preflight, delay, resume, and batch rules.
3. Read `references/report-contract.md` for JSON schema, metrics, target/competitor recognition, and report rules.
4. Run `node scripts/preflight.mjs --profile <profile>` before fresh crawling.
5. Stage 1: run `scripts/deepseek_batch_crawl.mjs` with questions, repeat, profile, target entity/type, `--safe-random-delay`, and output dir.
6. Stage 2: run `scripts/analyze_deepseek_results.py` on any crawl JSON with target entity/type, optional brands file, report output dir, and semantic review mode. Use `--semantic-review auto` by default; use `--semantic-review required` for formal delivery when AI review must pass.
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