Agent skill · marketing growth · onewave-ai
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. Turns your inbox into an automated pipeline.
Why this skill is useful
Adds a complete automated workflow for managing Gmail leads, including scoring and CRM logging, which the AI cannot generate from existing knowledge alone.
What it needs
Requires supabase account access. About 2k tokens when loaded. Last updated 2026-07-15. 242 stars on the source repository.
What this skill does
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 pipelineconfig 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. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills onewave-ai/gmail-to-crm-pipeline