Draft or update company policies (PTO, remote work, expenses, AI-usage) in handbook-ready format with legal review flag and change-summary mode. Use when creating HR policies for small teams without a lawyer. Triggers: 'draft company policy', 'write a PTO policy', 'напиши корпоративную политику', 'политика удалённой работы'.
Generate a stage-specific data room checklist, folder structure, and investor gap list from your round context. Use when preparing for due diligence or getting investor-ready. Triggers: 'data room checklist', 'prepare data room', 'чек-лист дата рума', 'подготовка data room'.
Build a structured investor pipeline from pasted notes: Tier 1/2/3, per-investor status, next steps, follow-up priorities. Zero CRM. Bilingual EN/RU. Triggers: 'fundraise pipeline', 'track my investors', 'who should I follow up with', 'pipeline инвесторов', 'трекинг раунда', 'кому пора следить по инвесторам'.
Scan local workspace folders by client or case name and assemble a chronological timeline of events with key facts. No external integrations required. Triggers: 'matter tracker', 'case timeline', 'track [client]', 'timeline for [case]', 'client history', 'matter report', 'summarize [client] matter', 'трекер дела', 'хронология дела', 'история клиента', 'что было по [клиент]', 'отчёт по делу', 'хронология событий по [клиент/дело]'.
Draft a client proposal and quote from discovery call notes or a brief. Turns raw, unstructured notes into scope, deliverables, timeline, three pricing packages, and a cover letter. Use when writing a client proposal, preparing a quote, или отправляешь КП после звонка. Triggers: 'write a client proposal', 'draft proposal and quote', 'turn my notes into a proposal', 'напиши предложение клиенту', 'пропозал и смета'.
Generate a structured win/loss debrief from closed deal notes: decision drivers, objections, competitive context, repeat/fix actions, deal trend row. No CRM. Triggers: 'win loss debrief', 'analyze this deal', 'we lost a deal help me understand why', 'разбор сделки', 'win/loss разбор', 'мы проиграли сделку — почему'.
Analyze CSV files with business data through a dialogue-based flow — no code, no Python, no plugins. Profiles dataset structure, asks what you want to understand, then delivers numbered insights and a plain-language interpretation. Use when analyzing sales exports, task lists, survey results, CRM data, or any CSV file. Triggers: 'analyze my CSV', 'analyze this CSV file', 'help me understand this data', 'what insights can you find in this spreadsheet', 'проанализируй CSV', 'разбери мой файл данных', 'что в этом CSV', 'помоги понять данные из таблицы'.
Interpret A/B test results in plain language and get a ship/rollback/extend recommendation with a stakeholder summary. Use when you have experiment results from any analytics tool and need a clear go/no-go decision. Triggers: 'interpret experiment results', 'read my A/B test results', 'should I ship this experiment', 'интерпретируй результаты эксперимента', 'помоги прочитать результаты A/B теста'.