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Qualify leads, score ICP fit, forecast pipeline, and plan outreach.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.Autostackup/sales" MCP server from askskill: Run: claude mcp add 'io-github-autostackup-sales' -- npx -y @autostackup/sales
Using the following prospect details, run BANT and MEDDIC qualification and provide an ICP fit score, win probability, key risks, and recommended next steps: 300-employee company, uses Salesforce, budget tentatively approved, decision-maker is the VP of Sales Operations, target go-live in 2 months.
A structured lead assessment with qualification status, ICP score, risks, and follow-up priority recommendations.
Generate a quarterly pipeline forecast from the following opportunities. Summarize amount by stage, estimated close probability, likely close date, and highlight the deals needing intervention most. Opportunities: Deal A $200k, proposal stage; Deal B $500k, technical validation completed; Deal C $100k, initial contact.
A stage-based sales forecast report with warnings on critical deals and action recommendations.
For a mid-market SaaS company, design a 14-day outreach plan based on its ICP characteristics and current sales stage, including email subject lines, message points, follow-up cadence, and objection-handling suggestions.
An actionable multi-step outreach plan covering messaging, cadence, and response strategy.
Build weighted sales forecasts with scenario planning, commit splits, and gap analysis.
Score companies against your ICP using firmographic and signal data.
Analyze sales data, generate insights, dashboards, reports, and email them automatically.
Validate startup ideas using behavioral signals to uncover demand and inform sales decisions.
Find, score, enrich, and sync EU SME sales leads to CRM.
Query and analyze Salesforce pipeline data, deals, and risk alerts in natural language.