contact-research
Изучить контакт по данным Common Room
Что получите
Профиль с доступными сведениями, активностью за 60 дней, посещениями сайта за 12 недель, числовыми оценками и контекстом компании; при достаточных данных — 2–3 повода для разговора.
Что передать
Электронная почта, профиль в социальной сети либо имя и компания; можно задать конкретный вопрос.
Проверен состав файлов. Запуск не тестировался. Что проверено
Оценки пользователей
Как использовать
Помогает командам продаж и работы с клиентами собрать профиль конкретного человека и понять его взаимодействие с продуктом. Связывает активность контакта с контекстом компании и возможными поводами для разговора.
- Укажите идентификатор контакта; при нескольких совпадениях подтвердите нужного человека.
- Выберите полный профиль или узкий вопрос, например о недавней активности или роли в покупке.
- Попросите сопоставить реальные действия с ситуацией компании и предложить темы разговора, если данных достаточно.
Условия работы
- Нужен доступ к данным Common Room; обогащение Spark используется, если доступно.
- При отсутствии записи агент сообщает об этом. Скудные данные не позволяют придумывать темы разговора, роль покупателя или степень вовлечённости; одной должности недостаточно.
- Оценки показываются числами или процентилями, без словесных ярлыков; активность старше 30 дней отмечается отдельно.
Пример запроса после установки
Изучи контакт anna@example.com в Common Room: покажи недавние действия, контекст компании и подтверждённые поводы для разговора, отдельно обозначив пробелы в данных.
Пример составлен по инструкции автора; результат запуска не проверялся.
Основание: инструкция закреплённой версииДля установки
Node.js, npm и Git для команды выше. Подключения и инструменты для работы скилла настраиваются отдельно.
Совместимые агенты
Совместимость указана для инструкций. Запуск в каждом приложении не тестировался; для веб-чата способ подключения может отличаться.
Файлы скилла
GitHubЧитать инструкцию SKILL.md
Исходный текст закреплённой версии.
--- name: contact-research description: "Research a specific person using Common Room data. Triggers on 'who is [name]', 'look up [email]', 'research [contact]', 'is [name] a warm lead', or any contact-level question." --- # 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
Проверка и особенности
Автоматическая проверка источника и файлов
Автоматически сверены публичный репозиторий, лицензия, YAML-заголовок SKILL.md, состав папки и Git-хеш каждого файла. Исполняемые файлы и срабатывания статических правил исключены из этой партии. Ручной аудит всех инструкций и проверка работы не проводились; эта проверка не гарантирует безопасность. Команда закреплена на проверенном коммите.
Интерес к репозиторию оцениваем по звёздам и форкам GitHub. Это показатели всего репозитория, а не числа установок отдельного скилла.
- Проверка состава
- 16.09.2026
- Проверенная версия
c55597c2697c- Файлы с кодом
- Не указаны в данных проверки
- Изменения на GitHub
- Нужна повторная проверкаПоследняя проверка: 11.10.2026
Репозиторий и лицензия
Это показатели всего репозитория, а не установки скилла. Снимок требует обновления.
- Последняя активность GitHub
- 11.10.2026
- Лицензия
- Apache-2.0
- Добавлен в каталог
- 16.09.2026
Полный текст лицензии
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