Back to list
LadderChaos

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

  1. STRICTLY RESEARCH ONLY: Do NOT modify production code
  2. NO CODING: Use pseudocode, diagrams, or mathematical notation
  3. PoC Exception: Standalone PoC tests only if explicitly requested
  4. Findings First: Documentation and analysis is the primary output

Research Methodologies

Economic Analysis

  1. Incentive Alignment: Who benefits? Who bears risk?
  2. Game Theory: What if actors behave adversarially?
  3. Capital Efficiency: Locked vs. utilized capital
  4. Fee Optimization: Protocol revenue vs. user costs

Algorithm Design

  1. Mathematical Rigor: Prove properties (no-arbitrage, convergence)
  2. Computational Complexity: Gas costs, compute units
  3. Edge Cases: Behavior at extreme values
  4. 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