---
id: daily-contact-research
name: "contact-research"
url: https://skills.yangsir.net/skill/daily-contact-research
author: anthropics
domain: sales
tags: ["lead-generation", "crm-integration", "sales-enablement", "contact-enrichment", "b2b-sales"]
install_count: 1300
rating: 4.30 (20 reviews)
github: https://github.com/anthropics/knowledge-work-plugins
---

# contact-research

> 从 Common Room 检索联系人综合资料，支持邮箱、社交账号或姓名公司查找，自动整合活动历史、Spark 评分和 CRM 字段，快速完成客户背景调研

**Stats**: 1,300 installs · 4.3/5 (20 reviews)

## Before / After 对比

### 联系人背景调研

**Before**:

手动查询联系人信息需要打开多个平台（LinkedIn、公司官网、CRM 系统），逐一搜索和验证，一个潜在客户调研需要 1 小时，信息零散

**After**:

输入邮箱或姓名，3 分钟内获取综合联系人档案，包含活动历史、参与评分、网站访问记录等 CRM 数据，一目了然

| Metric | Before | After | Change |
|---|---|---|---|
| 调研时间 | 60min | 3min | -95% |

## Readme

# contact-research

# Contact Research

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.

## Step 1: Locate the Contact

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.

## Step 2: Fetch Contact Fields

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:**

- **Scores** — always return as raw values or percentiles, never labels

- **Recent activity** — use `Contact Initiated` filter (last 60 days) for their actions, not your team's

- **Website visits** — total count + specific pages (last 12 weeks)

- **Spark** — retrieve all Sparks when tracking engagement evolution over time

## Step 3: Run Spark Enrichment (If Available)

If Spark is available, use it. Spark provides:

- Professional background and job history

- Social presence and influence signals

- Persona classification: Champion, Economic Buyer, Technical Evaluator, End User, or Gatekeeper

- Inferred role in the buying process

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.

## Step 4: Assess Account Context

Pull an abbreviated account snapshot for this contact's parent company. Note:

- Open opportunities, expansion signals, or churn risk at the account level

- Whether other contacts at this company are also active

- How this person's engagement compares to their colleagues

## Step 5: Identify Conversation Angles

Based on activity and signals, surface the strongest 2–3 hooks:

- A recent `Contact Initiated` activity (community post, product event, support ticket)

- A specific web page they visited recently — especially if it signals evaluation intent

- A job change, promotion, or company news

- Their Spark persona and what that suggests about communication style

- Their role in a known active deal

## Output Format

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]

```

**When data is sparse (e.g., only name, title, email, tags returned; sparkSummary is null):**

```
## [Contact Name] — Profile (Limited Data)

**Data available:** [List exactly what Common Room returned]

[Present only the returned fields]

**Web Search**
[Any findings from searching their name + company]

**Note:** Common Room has limited data on this contact. No activity history, scores, or Spark profile available. I can run deeper web searches or look up their company for additional context.

```

Do not generate conversation starters, persona inferences, or engagement assessments from sparse data. These require real signals.

## Quality Standards

- Lookup must use the correct method for the input type — don't guess on email vs. handle

- Scores as raw/percentile only — never labels

- `Contact Initiated` activity (last 60 days) is the primary engagement signal — lead with it

- If Spark is unavailable, say so — don't fabricate a persona from title alone

- Flag any contact where the most recent activity is older than 30 days

## Reference Files

- **`references/contact-signals-guide.md`** — full field descriptions, Spark persona guide, and conversation starter principles

Weekly Installs207Repository[anthropics/know…-plugins](https://github.com/anthropics/knowledge-work-plugins)GitHub Stars9.9KFirst SeenFeb 24, 2026Security Audits[Gen Agent Trust HubPass](/anthropics/knowledge-work-plugins/contact-research/security/agent-trust-hub)[SocketPass](/anthropics/knowledge-work-plugins/contact-research/security/socket)[SnykPass](/anthropics/knowledge-work-plugins/contact-research/security/snyk)Installed oncodex195gemini-cli194opencode194cursor193github-copilot193amp193

---
*Source: https://skills.yangsir.net/skill/daily-contact-research*
*Markdown mirror: https://skills.yangsir.net/api/skill/daily-contact-research/markdown*