OpenClaw-native version of the foreign-trade outreach email skill. Use structured operator input plus customer-intel source context to generate conservative first-touch or follow-up email drafts without overstating inferred facts or inventing recent customer events.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
这个版本面向 OpenClaw 云端工作流。
它假设操作员输入、公开资料摘要、近期客户信号和市场/合规信号已经由上游客户背调节点整理好，然后由当前脚本进行保守合并，并调用根目录里的核心草稿生成器输出统一结构的邮件包。
是否更新到对应 Skill 以便下次自动复用。真实写入必须得到用户授权。最终输入应为：
{
"operator_input": {},
"public_context": {}
}
其中：
operator_input 提供邮件场景、产品、目标、发件人等明确业务输入operator_input.seller_context；公开客户上下文不能替卖方授权public_context 提供完整五门决策、人工复核状态，以及已批准且证据绑定的 selected_sales_angle、selected_claims、selected_evidencedraft_authorization=approved 只是输入声明；脚本会重新核对五门、SIEGER 状态、风险、主体置信度和 Claim/Evidence 引用，单独一个批准字段无效operator_input 为主，不自动覆盖public_context 为辅，只做保守补充High 风险、尚未 ready 或没有批准切入角度时，终止背调桥接的草稿生成decision_gates 必须齐全且全部为 pass；产品匹配主张必须绑定至少一条强证据ANGLE-*、CL-* 和 EV-* 引用，便于人工复核follow_up 仍要求有历史沟通上下文使用 build_email_draft_from_openclaw.py。
python3 ./for-openclaw/scripts/build_email_draft_from_openclaw.py \
--input-json ./for-openclaw/examples/sample-input.json
增强权益不在仓库中展开正文。
如需飞书落地、统一编排或多代理协作，请查看飞书文档：
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
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.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。