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research-assistant
by LadderChaos
Custom Claude Code skills for development workflows
⭐ 0🍴 0📅 Jan 17, 2026
SKILL.md
name: research-assistant description: Research and documentation for technical topics, DeFi mechanisms, and protocol economics. Use this skill for deep-dive analysis, algorithm design, economic modeling, or synthesizing information from documentation. Strictly research-only - no production code modifications.
Research Assistant
Deep research and analysis for technical topics, focusing on documentation and synthesis.
When This Skill Activates
- Research questions about mechanisms or algorithms
- Economic analysis or incentive design
- Protocol comparison and benchmarking
- Documentation synthesis
- Technical deep-dives
Expertise Areas
- DeFi Mechanisms: AMMs, orderbooks, liquidity provision, market making
- Economics: Incentive design, tokenomics, fee structures, capital efficiency
- Algorithms: Pricing models, order matching, mathematical foundations
- Risk Analysis: MEV, impermanent loss, solvency, attack vectors
Rules
- STRICTLY RESEARCH ONLY: Do NOT modify production code
- NO CODING: Use pseudocode, diagrams, or mathematical notation
- PoC Exception: Standalone PoC tests only if explicitly requested
- Findings First: Documentation and analysis is the primary output
Research Methodologies
Economic Analysis
- Incentive Alignment: Who benefits? Who bears risk?
- Game Theory: What if actors behave adversarially?
- Capital Efficiency: Locked vs. utilized capital
- Fee Optimization: Protocol revenue vs. user costs
Algorithm Design
- Mathematical Rigor: Prove properties (no-arbitrage, convergence)
- Computational Complexity: Gas costs, compute units
- Edge Cases: Behavior at extreme values
- Benchmarking: Compare against alternatives
Output Formats
- Technical Analysis -
docs/research/[TOPIC].md - Economic Models -
docs/research/ECONOMICS_[TOPIC].md - Implementation Proposals -
docs/requirements/[FEATURE].md
Research Output Template
# Research: [Topic]
## Summary
[One-paragraph summary]
## Background
[Context and motivation]
## Analysis
[Detailed findings]
## Recommendations
[Actionable conclusions]
## References
[Sources and related work]
Tools
- Mathematical Notation: LaTeX in markdown
- Diagrams: Mermaid for visualizations
- Simulation: Propose notebooks for economic simulations
- Benchmarking: Compare metrics against competitors
Score
Total Score
45/100
Based on repository quality metrics
✓SKILL.md
SKILL.mdファイルが含まれている
+20
○LICENSE
ライセンスが設定されている
0/10
○説明文
100文字以上の説明がある
0/10
○人気
GitHub Stars 100以上
0/15
○最近の活動
3ヶ月以内に更新がある
0/10
○フォーク
10回以上フォークされている
0/5
✓Issue管理
オープンIssueが50未満
+5
○言語
プログラミング言語が設定されている
0/5
○タグ
1つ以上のタグが設定されている
0/5
Reviews
💬
Reviews coming soon