opportunity_scorer

Name: opportunity_scorer
Rating: 5 (2 reviews)
Author: DonggangChen

by @DonggangChen in Development

# Install this skill:

npx skills add DonggangChen/antigravity-agentic-skills --skill "opportunity_scorer"

Install specific skill from multi-skill repository

# Description

Opportunity scoring, scoring rubric and go/no-go decision making guide.

# SKILL.md

name: opportunity_scorer
router_kit: FullStackKit
description: Opportunity scoring, scoring rubric and go/no-go decision making guide.
metadata:
skillport:
category: business
tags: [architecture, automation, best practices, clean code, coding, collaboration, compliance, debugging, design patterns, development, documentation, efficiency, git, opportunity scorer, optimization, productivity, programming, project management, quality assurance, refactoring, software engineering, standards, testing, utilities, version control, workflow] - prioritization

📊 Opportunity Scorer

Opportunity scoring and decision making guide.

📋 Scoring Framework

Criteria (0-10)

Criteria	Weight	Description
Market Size	20%	TAM/SAM size
Fit	25%	Capability/strategy fit
Competition	15%	Competition intensity
Effort	20%	Implementation difficulty
Timeline	10%	Time frame
Risk	10%	Risk level

🔧 Scoring Template

## Opportunity: [Name]

| Criteria    | Score (0-10) | Weight | Weighted |
| ----------- | ------------ | ------ | -------- |
| Market Size | 8            | 20%    | 1.6      |
| Fit         | 9            | 25%    | 2.25     |
| Competition | 6            | 15%    | 0.9      |
| Effort      | 7            | 20%    | 1.4      |
| Timeline    | 8            | 10%    | 0.8      |
| Risk        | 7            | 10%    | 0.7      |
| **TOTAL**   |              |        | **7.65** |

🎯 Decision Thresholds

Score	Recommendation	Action
8.0+	STRONG GO	Prioritize
6.5-7.9	GO	Proceed
5.0-6.4	CONDITIONAL	More research
<5.0	NO GO	Pass

📊 Comparison Matrix

Opportunity	Score	Rank	Decision
Opp A	8.2	1	STRONG GO
Opp B	7.1	2	GO
Opp C	5.8	3	CONDITIONAL
Opp D	4.2	4	NO GO

Opportunity Scorer v1.1 - Enhanced

🔄 Workflow

Source: RICE Scoring Model & Weighted Decision Matrix

Phase 1: Criteria Definition

[ ] Factors: Revise evaluation criteria (Market, Effort, Risk) specifically for the project.
[ ] Weighting: Determine the weight of each criterion (Totaling 100%). Adjust according to strategic goals.
[ ] Scale: Define a clear scoring scale between 1-10 or 1-5 (e.g., 10 = Immediate, 1 = Never).

Phase 2: Scoring Process

[ ] Data Gathering: Score based on "data", not "guesses" (Market report, technical feasibility).
[ ] Consensus: Perform scoring not alone, but with a team from different disciplines (Tech, Biz, Design).
[ ] Normalization: Calculate total score and discuss anomalies (Outliers).

Phase 3: Decision

[ ] Threshold Check: Compare score with threshold values (Go/No-Go).
[ ] Sensitivity Analysis: Analyze "If Effort increases by 10%, does the decision change?".
[ ] Document: Record the decision and rationale (like Architectural Decision Record).

Checkpoints

Phase	Verification
1	Do all stakeholders agree on criteria weights?
2	Is the highest scoring opportunity aligned with the company's current strategy?
3	Was a constraint with veto power (Showstopper) overlooked?

# Supported AI Coding Agents

This skill is compatible with the SKILL.md standard and works with all major AI coding agents:

⚡ Amp 🚀 Antigravity 🤖 Claude Code 🦀 Clawdbot 📝 Codex ▶️ Cursor 🤖 Droid 💎 Gemini CLI 🐙 GitHub Copilot 🪿 Goose 📊 Kilo Code 🔧 Kiro CLI 💻 OpenCode 🦘 Roo Code 🌲 Trae 🏄 Windsurf

Learn more about the SKILL.md standard and how to use these skills with your preferred AI coding agent.