Use when planning or upgrading an internal skill/workflow for business operations, especially when turning a messy idea into a structured skill plan, migration plan, acceptance checklist, or packaging decision. Particularly useful for Obsidian knowledge base consolidation, workspace migration, content library cleanup, and integrating multiple workbenches into one operating system.
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 Skill 不是业务节点执行器，而是内部方法层。
适用任务：
优先输出：
先判断当前任务属于哪一类，只选一个主类型：
新 Skill 立项已有 Skill 增强链路串联发布包装内容库/工作台迁移如果用户同时提了多个目标，先把“当前最需要决策的主任务”单独拎出来。
如果上下文里没有明确答案，就根据已有信息先给出保守假设：
默认按下面结构输出，不要跳着讲：
一、任务定义
二、当前状态
三、目标状态
四、迁移/建设范围
五、分阶段计划
六、风险与边界
七、验收标准
八、下一步动作
优先把问题拆成 5 层：
不要一上来讨论插件和自动化，先把结构和迁移顺序定清楚。
读取 references/obsidian-migration-planning.md。
输出内容必须能映射到：
模板/skill立项模板.md模板/skill验收清单.md模板/合集收录标准.md如果当前任务更像内部方法层，不要硬套成对外业务 Skill。
同一个方向，默认拆 3 层口径：
客户版不讲 agent engineering、不讲重工程流程。
当任务涉及 Obsidian 内容库、知识库、工作台整合时，默认做这些约束：
输出时至少明确：
根据任务大小，默认从下面几种里选 1 到 3 个：
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。