yao-deepseek-crawler

Installation
SKILL.md

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.
  7. Return the raw crawl JSON, structured Markdown, structured Excel workbook, HTML report, summary JSON, semantic-review cache when present, and failed logs. Reports include AI semantic labels for entity recognition, target-vs-best-3 radar, click-to-reveal bubbles, Chinese source names, clickable citations, title intent, compact treemap, and GEO actions.

Honest Boundaries

Installs
2
GitHub Stars
592
First Seen
7 days ago
yao-deepseek-crawler — yaojingang/yao-geo-skills