🧠 Strategic Research & Wisdom Engine

Source: Daniel Miessler's Fabric / AI Research SKILLs / strategic-problem-solving

This skill enables the Agent to perform deep analytical thinking, extract "wisdom" from complex data, and simulate strategic decision-making.

🏛️ 1. Analytical Patterns (Fabric Inspired)

• •Extract Wisdom: Scan text for core claims, unconventional insights, and actionable advice.
• •Root Cause Analysis: Use the "5 Whys" method to identify the true source of a technical or business problem.
• •Pattern Recognition: Identify recurring architectural failures across different modules.

🔬 2. AI Research Workflow

• •Paper Summarization: Break down technical whitepapers into: Abstract, Methodology, Key Findings, and Implications for this project.
• •Competitor Intelligence: (Search-based) Analyze similar tools/frameworks to find feature gaps or differentiation opportunities.
• •Feasibility Audit: Before implementing a high-cost feature, evaluate: API limitations, token usage, and alternative open-source models.

🧭 3. Strategic Decision Framework

When asked to /brainstorm or /plan:

1. •Identify the Core Objective: What is the most important outcome?
2. •First-Principles Thinking: Break the problem down into fundamental truths.
3. •Simulate Scenarios: "If we go with Option A, what happens in 6 months?"
4. •Second-Order Effects: Consider not just the immediate result, but the consequences of that result.

📝 4. Pattern Library (Pattern-Based Execution)

Use these structured output types:

• •summarize_wisdom: Concise, bulleted insights.
• •create_strategy_roadmap: Phased implementation plan with risk assessment.
• •analyze_codebase_debt: Identification of non-obvious technical debt.

Created by Antigravity Orchestrator - Powered by Strategic Wisdom Patterns.