opportunity_scorer

Scores business opportunities with weighted criteria and go/no-go decision thresholds.

Updated Jan 14, 2026
One-click install
npx skills add https://github.com/jvsandhu/agentic-skills --skill opportunity-scorer-jvsandhu
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: opportunity_scorer
Source: https://github.com/jvsandhu/agentic-skills/tree/main/skills/opportunity_scorer
Command: npx skills add https://github.com/jvsandhu/agentic-skills --skill opportunity-scorer-jvsandhu

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Teams often evaluate new opportunities with gut feelings instead of structured analysis, leading to inconsistent prioritization and poor resource allocation. This Skill provides a repeatable weighted scoring framework that turns subjective debates into documented, data-driven go/no-go decisions. ## Core Features & Use Cases - Weighted Scoring Rubric: Evaluates opportunities across six criteria (Market Size, Fit, Competition, Effort, Timeline, Risk) with configurable percentage weights totaling 100%. - Decision Thresholds: Maps total scores to clear recommendations: STRONG GO (8.0+), GO (6.5-7.9), CONDITIONAL (5.0-6.4), and NO GO (<5.0). - Comparison Matrix: Ranks multiple opportunities side by side so teams can prioritize a portfolio rather than judging ideas in isolation. - Use Case: A product team comparing four feature ideas scores each against the rubric, runs a sensitivity analysis on effort estimates, and documents the final decision like an Architecture Decision Record. ## Quick Start Score these three feature ideas using the opportunity scoring rubric and give me a go/no-go recommendation for each.

Frequently Asked Questions about opportunity_scorer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I score and prioritize business opportunities?

Score each opportunity from 0-10 across six weighted criteria: Market Size (20%), Fit (25%), Competition (15%), Effort (20%), Timeline (10%), and Risk (10%). Multiply each score by its weight, sum the results, and compare the total against decision thresholds to get a go/no-go recommendation.

What is a weighted decision matrix for prioritization?

A weighted decision matrix assigns percentage weights to evaluation criteria so the most important factors influence the final score most. This framework draws on the RICE scoring model and Atlassian's decision matrix playbook to produce a single comparable score per opportunity.

What score means go or no-go in opportunity scoring?

Scores of 8.0 or higher mean STRONG GO and should be prioritized, 6.5-7.9 means GO, 5.0-6.4 is CONDITIONAL requiring more research, and anything below 5.0 is NO GO. Thresholds can be adjusted to match organizational risk tolerance.

How do I compare multiple opportunities against each other?

Use the comparison matrix to list each opportunity with its total weighted score, rank, and decision in one table. Ranking opportunities side by side reveals relative priority and prevents evaluating ideas in isolation.

When should I not use weighted scoring for decisions?

Avoid weighted scoring when a single veto constraint or showstopper exists, since averaging can hide a fatal flaw. It is also less reliable when scores are based on guesses rather than data like market reports or technical feasibility studies.