Score prospect fit across five angles
salesskillsetup L3★591
zubair-trabzada/ai-sales-team-claude ↗Causal-lift measurements
sales-strategy+20pp vs no-skill baselinewith-skill 80% · baseline 60%
Measured by running the task with and without this artifact, K=5, graded by deterministic checks — no LLM judging.
What it does
Orchestrate five parallel sales agents to analyze prospects and score fit
Best for
Sales leaders or SDRs who want a comprehensive 5-angle prospect analysis in one command, including company fit, contact access, opportunity quality, competitive position, and outreach readiness — all scored 0-100.
Inputs
- · Prospect company URL (primary)
- · Prior analysis files (PROSPECT-ANALYSIS.md, COMPANY-RESEARCH.md, etc., optional)
Outputs
- · PROSPECT-ANALYSIS.md (unified report with all 5 agent analyses)
- · Prospect Score 0-100 (weighted across 5 categories)
- · Top 3 opportunities and top 3 concerns
- · Ready-to-send outreach email sequence
Requires
- · WebFetch (for homepage and interior pages)
- · 5 parallel subagents: sales-company, sales-contacts, sales-opportunity, sales-competitive, sales-strategy
Preconditions
- · Prospect URL must be reachable and have publicly accessible content
- · Company type must be detectable (SaaS, agency, e-commerce, enterprise, SMB, startup)
Failure modes
- · Unreachable URL causes entire analysis to fail
- · Limited public information biases scoring toward available signals
- · Company type misclassification changes all 5 agent analyses
- · No trigger events found → outreach becomes generic
Trust signals
- · 5-category weighted scoring model (Company Fit 25%, Contact Access 20%, Opportunity 20%, Competitive 15%, Outreach 20%)
- · Score interpretation guide (90-100 A+, 75-89 A, 60-74 B, 40-59 C, 0-39 D)
- · Company type detection with signal table (SaaS vs agency vs e-commerce vs enterprise)
- · Parallel agent architecture (5 analyses happen simultaneously)