用少量竞品网址和关注字段，生成适合人工复核的竞品变化汇总。首版默认复用 changedetection.io 做上游监控底座。
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参考：
examples/minimal-monitoring-input.json参考：
examples/minimal-monitoring-output.mdexamples/changedetection-watch-seed.jsonchangedetection.io 建立少量监控项。工作间/工具工作间/02_场景拆解/外贸业务主干Skill 有对应展现https://www.allbirds.com/products/mens-tree-runnershttps://www.allbirds.com/collections/mens-new-arrivalshttps://www.allbirds.com/python3 '工作间/孵化中/竞品监控skill/scripts/build_change_summary.py' \
--input-json '工作间/孵化中/竞品监控skill/examples/sample-change-events.json' \
--markdown-out '工作间/孵化中/竞品监控skill/examples/minimal-monitoring-output.md' \
--json-out '工作间/孵化中/竞品监控skill/examples/minimal-monitoring-output.json'
python3 '工作间/孵化中/竞品监控skill/scripts/build_watch_seed.py' \
--input-json '工作间/孵化中/竞品监控skill/examples/minimal-monitoring-input.json' \
--json-out '工作间/孵化中/竞品监控skill/examples/changedetection-watch-seed.json'
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Run or resume a deliverable active-outreach workflow across lead discovery, screening, customer intel, and outreach email. Use when an operator or system pipeline needs durable run state, visible intermediate artifacts, evidence gates, report-bound human approval, and a final editable email draft that is never auto-sent.
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Build bilingual, evidence-backed, SIEGER v2 customer intelligence reports for foreign-trade leads. Use when OpenClaw or a sales operator needs claim-level citations, decision gates, an industry-specific analysis lens, a non-fabricated verdict card, and sales angles that require approval before downstream outreach drafting.
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OpenClaw-native SIEGER-aligned customer intelligence. Use a structured evidence bundle to produce a bilingual report with claim-level evidence, decision gates, industry-specific analysis, and proposed sales angles that require explicit approval before email drafting.
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Find the first batch of foreign-trade prospect companies from public web, LinkedIn, and user-authorized data sources such as customs exports, trade show lists, association directories, CRM/Excel files, or historical customer data, then output a conservative, structured candidate list ready for lead screening.
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Discover prospect companies from a structured OpenClaw search brief, including public search and user-authorized data sources, then output a conservative candidate list ready for lead screening.
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Normalize and screen scattered foreign-trade leads into a conservative, structured lead pool that can flow into customer-intel research. Use when an operator has company names, websites, emails, or contact clues from search results and needs a standardized output with missing-field warnings, review flags, next-step suggestions, and customer-intel-ready JSON.
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