$ loading_
基于 Common Room 数据快速调研联系人背景、关系热度与线索价值。
复制安装指令，让 AI 自动完成配置 · 推荐新手
请帮我安装 askskill 上的 "contact-research" 技能： 1. 下载 https://raw.githubusercontent.com/anthropics/knowledge-work-plugins/main/partner-built/common-room/skills/contact-research/SKILL.md 2. 保存为 ~/.claude/skills/contact-research/SKILL.md 3. 装好后重载技能，告诉我可以用了
请帮我调研王晓明，整理他的职位、公司、近期活动，以及我们是否有可利用的共同关系。
返回联系人简介、公司信息、近期互动线索和可跟进建议。
帮我查一下邮箱 [email protected] 对应的联系人资料，并判断她是否值得销售或合作跟进。
返回邮箱对应联系人身份、相关背景，以及线索价值判断。
李婷是暖线索吗？请根据 Common Room 数据说明原因，包括她的互动记录、团队关联和推荐跟进方式。
给出暖线索判断、依据说明，以及下一步触达建议。
Retrieve a comprehensive contact profile from Common Room. Supports lookup by email, social handle, or name + company. Returns enriched data including activity history, Spark, scores, website visits, and CRM fields.
Common Room supports multiple lookup methods — use whichever the user has provided:
| What the user gives | Lookup method |
|---|---|
| Email address | Look up by email (most reliable) |
| LinkedIn, Twitter/X, or GitHub handle | Look up by social handle — specify handle type explicitly |
| Name + company | Identity resolution by name + org domain; present matches if ambiguous |
| Name only | Search by name; if multiple matches, show a brief list and ask the user to confirm |
If no match is found, respond: "Common Room doesn't have a record for this person." Do not speculate or fabricate profile data.
Use the Common Room object catalog to see available field groups and their contents. For full profiles, request all groups. For targeted questions, request only what's relevant.
Key field groups to know about:
Contact Initiated filter (last 60 days) for their actions, not your team'sIf Spark is available, use it. Spark provides:
If Spark is unavailable but real activity data exists (recent actions, website visits, community engagement), infer a persona from those signals. If neither Spark nor activity data is available, classify as Unknown — do not guess a persona from title alone.
Retrieve all Sparks (not just the most recent) when the user wants to understand how this contact's engagement has evolved over time.
Pull an abbreviated account snapshot for this contact's parent company. Note:
Based on activity and signals, surface the strongest 2–3 hooks:
Contact Initiated activity (community post, product event, support ticket)Only include sections where data was actually returned. Omit sections with no data rather than filling them with guesses.
When data is rich:
## [Contact Name] — Profile
**Overview**
[2 sentences: who they are, their role, and relationship status]
**Details**
- Title: [title]
- Company: [company]
- Email: [email]
- LinkedIn: [URL]
- Other profiles: [Twitter/X, GitHub, CRM link if available]
**Scores** [If scores returned]
[All scores as raw values or percentiles]
**Recent Activity** (last 60 days) [If activity returned]
[3–5 bullets with dates]
**Website Visits** (last 12 weeks) [If visit data exists]
[Total visit count + list of pages visited]
**Spark Profile** [If Spark data is non-null]
[Persona type, background summary, influence signals]
**Segments** [If segments returned]
[List of segment names this contact belongs to]
**Account Context**
[1–2 sentences on their company's status]
**Conversation Starters**
[2–3 specific, signal-backed openers]
…
围绕客户问题进行多来源调研与溯源，快速整理背景并支持准确回复。
分析业务并搜索目标公司，帮助你高效挖掘高质量潜在客户与联系策略。