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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 a company against your ICP using weighted signals and tiered breakdowns.
Score companies against your ICP using firmographic and signal data.
Collect and score sales chats with response metrics and evidence-based LLM reviews.
Analyze sales data, generate insights, dashboards, reports, and email them automatically.
Validate startup ideas using behavioral signals to uncover demand and inform sales decisions.