Opportunity Discovery Engine

Systematically analyze markets, trends, and ideas to identify and rank monetizable opportunities with high upside and limited downside risk.

Security Scan

The skill's instructions match its description: it's an instruction-only framework for analyzing opportunities and requests no installs, secrets, or system access.

Purpose & Capability

Name/description align with the SKILL.md: it provides a 7-step analytical framework for market/opportunity discovery and does not request unrelated capabilities or credentials.

Instruction Scope

SKILL.md is high-level and self-contained — it tells the agent how to analyze opportunities and the expected output format. It does not instruct reading files, environment variables, or sending data to external endpoints, but leaves broad discretion to gather external market/trend data (which is expected for this purpose).

Install Mechanism

No install spec and no code files — the skill is instruction-only, so nothing is written to disk or fetched during install.

Credentials

The skill requires no environment variables, credentials, or config paths — this is proportionate to an advisory/analysis skill.

Persistence & Privilege

always:false (default). The skill can be invoked by the agent as normal, but it does not request permanent presence or modify other skills/settings.

Assessment

This skill appears coherent and low-risk: it only contains an analysis framework and asks for no installs or secrets. Before installing, consider whether you want the agent to fetch external market data (the instructions allow broad data-gathering) — if not, restrict the agent's network access or require citations for sources. Also review outputs for unsupported assertions (business recommendations can be speculative) and avoid providing sensitive proprietary data to the skill without review.

Evaluates markets, trends, and business ideas through a systematic framework to identify monetizable opportunities with asymmetric upside.

When to Use

User wants to analyze an industry, evaluate a business idea, assess a trend, or find hidden opportunities. Applies the 7-step opportunity discovery framework to surface insights others miss.

Framework

1. Identify Inefficiencies

Look for areas where:

• Information is unevenly distributed
• New technology is disrupting existing systems
• Regulation is changing incentives
• Markets are mispricing assets or risks
• Consumer behavior is shifting

Inefficiencies often create profit opportunities.

2. Evaluate Asymmetry

Prioritize opportunities where:

• Downside risk is limited
• Upside potential is significantly larger

Focus on high expected value rather than guaranteed outcomes.

3. Detect Emerging Trends Early

Monitor signals indicating rapid growth:

• New infrastructure or protocols
• Large capital inflows
• Adoption by influential organizations
• Rapid community growth

Early-stage trends produce largest opportunities.

4. Map Monetization Paths

For any opportunity, identify how it generates income:

• Investing
• Building tools or services
• Content or information arbitrage
• Automation
• Distribution advantages

5. Evaluate Competitive Landscape

Determine:

• How crowded is the opportunity?
• Barriers to entry
• Advantages that could be exploited

Opportunities with high barriers + low awareness = most valuable.

6. Rank Opportunities

Evaluate using:

• Expected value
• Difficulty to execute
• Capital required
• Time horizon

Prioritize best risk/reward profile.

7. Think Creatively

Don't limit to conventional paths. Consider:

• Unconventional approaches
• Combinations of technologies
• Overlooked niches

Output Format

For each opportunity analyzed, provide:

OPPORTUNITY: [Name]

Inefficiency: [What's broken/mispriced]
Asymmetry: [Risk vs reward]
Trend Signal: [Why now]
Monetization: [How to make money]
Competition: [Barriers + gaps]
Rating: [1-10] | [Time horizon] | [Capital needed]

Creative angle: [Unconventional twist]

Example

When analyzing "AI agents for SMBs":

OPPORTUNITY: AI Agent Services for Local Businesses

Inefficiency: SMBs need automation but can't afford enterprise tools
Asymmetry: Low cost to serve, massive market (12M+ US SMBs)
Trend Signal: OpenAI APIs dropping in price, OpenClaw enabling 24/7 agents
Monetization: Retainer model ($200-800/mo), lead gen, process automation
Competition: Crowded but low quality — most agencies use chatbots, not agents
Rating: 8/10 | 6-12mo | $5-10K to start

Creative angle: Vertical focus (restaurants, plumbers, dentists) with pre-built templates

Related Skills

• business-ideas — Generate business concepts
• investor — Due diligence framework
• local-business-money-radar — Find local business opportunities
• competitive-intelligence-market-research — Industry analysis