onewave-ai/claude-skills

gmail-to-crm-pipeline

Uses MCP Connectors to read Gmail inbound leads, score them by ICP fit, draft personalized responses, and log qualified leads to your CRM.

ソースを見る

使い方

  1. インストールコマンドをコピーし、自分の環境へ導入する前にソースを確認します。
  2. 必要なツール、認証情報、対応環境を原文で確認します。
  3. 入力と成果物を指定し、出力を資料と照合します。
npx skills add https://github.com/onewave-ai/claude-skills --skill gmail-to-crm-pipeline

開始前の確認

  • 導入にはモデル契約、API枠、ファイルへのアクセス許可は含まれません。
  • スター数や導入数は活動の指標であり、独立した品質・安全性試験ではありません。
リポジトリの原文

見出し、例、コード、表、リンク、参照画像を含む原文を表示しています。

Gmail-to-CRM Pipeline

Turn a Gmail inbox into a structured sales pipeline using Claude's MCP Connectors -- the Gmail connector reads and drafts email, and the Supabase connector persists CRM data. No external scripts or API keys required.

Workflow

  1. Connect. Verify the Gmail and Supabase MCP Connectors are available. On first run, create the CRM tables and seed config. Load ICP config from the pipeline_config table. See references/configuration.md (first run, error handling) and references/crm-schema.md.
  2. Search. Run the targeted Gmail search queries to find unread lead emails over the time window (default: last 24 hours). Collect unique message IDs and deduplicate. See references/gmail-retrieval.md.
  3. Parse. Read each unique message, strip signatures and disclaimers, and extract the structured field set. See references/gmail-retrieval.md.
  4. Extract. Build the lead profile (contact, company, inquiry, metadata) for each email. Set missing fields to null rather than guessing. See references/lead-extraction.md.
  5. Score. Score each lead on ICP fit (0-40), intent (0-35), and urgency (0-25), then apply adjustment modifiers. Map the total to a qualification tier and priority. See references/scoring-model.md.
  6. Draft. For each qualified lead (score >= 25), draft a personalized, tier-appropriate response and save it as a Gmail draft. Never auto-send. See references/response-templates.md.
  7. Log. Check for duplicates, then insert or update the lead in Supabase, log activity, and set the next action by priority. See references/crm-schema.md.
  8. Report. Query the pipeline snapshot and generate lead-pipeline-report.md in the working directory, then display the executive summary. See references/pipeline-report.md.

Between runs, handle manual lead commands (mark contacted, move stage, disqualify, add note, schedule follow-up, query leads) and ICP/search customization. See references/configuration.md.

Hard Rules

  • Never auto-send email -- always create drafts for the user to review and send.
  • Never store raw email bodies or credentials in Supabase or any report; store structured data and key quotes only.
  • Treat all lead and email content as confidential.

Contents

  • references/gmail-retrieval.md -- Gmail MCP tools, search queries, parsing rules, extracted field set.
  • references/lead-extraction.md -- Lead profile JSON schema and extraction guidelines.
  • references/scoring-model.md -- ICP, intent, urgency scoring tables; tier mapping; adjustment rules.
  • references/response-templates.md -- Per-tier response templates, personalization rules, anti-patterns, draft creation.
  • references/crm-schema.md -- Supabase MCP tools, table DDL, logging procedure and SQL.
  • references/pipeline-report.md -- Report Markdown structure and reporting SQL queries.
  • references/configuration.md -- First-run setup, customization, manual commands, error handling, privacy, invocation triggers.

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