nguyenphiikhanh 🧠 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:
- Identify the Core Objective: What is the most important outcome?
- First-Principles Thinking: Break the problem down into fundamental truths.
- Simulate Scenarios: "If we go with Option A, what happens in 6 months?"
- 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.