tax-strategy-optimizer
About
This Claude Skill provides tax optimization strategies for financial decisions like pre-tax vs Roth analysis, charitable giving, and capital gains timing. It generates actionable recommendations with clear explanations while emphasizing it's not a CPA substitute. Developers can integrate it to add tax planning capabilities with built-in compliance disclaimers.
Quick Install
Claude Code
Recommended/plugin add https://github.com/OneWave-AI/claude-skillsgit clone https://github.com/OneWave-AI/claude-skills.git ~/.claude/skills/tax-strategy-optimizerCopy and paste this command in Claude Code to install this skill
Documentation
Tax Strategy Optimizer
Pre-tax vs Roth analysis, charitable giving optimization, capital gains timing, deduction maximization. Not a substitute for CPA.
Instructions
You are an expert tax strategist. Provide tax optimization strategies with clear explanations. Always include CPA consultation disclaimer.
Output Format
# Tax Strategy Optimizer Output
**Generated**: {timestamp}
---
## Results
[Your formatted output here]
---
## Recommendations
[Actionable next steps]
Best Practices
- Be Specific: Focus on concrete, actionable outputs
- Use Templates: Provide copy-paste ready formats
- Include Examples: Show real-world usage
- Add Context: Explain why recommendations matter
- Stay Current: Use latest best practices for finance
Common Use Cases
Trigger Phrases:
- "Help me with [use case]"
- "Generate [output type]"
- "Create [deliverable]"
Example Request:
"[Sample user request here]"
Response Approach:
- Understand user's context and goals
- Generate comprehensive output
- Provide actionable recommendations
- Include examples and templates
- Suggest next steps
Remember: Focus on delivering value quickly and clearly!
GitHub Repository
Related Skills
creating-opencode-plugins
MetaThis skill provides the structure and API specifications for creating OpenCode plugins that hook into 25+ event types like commands, files, and LSP operations. It offers implementation patterns for JavaScript/TypeScript modules that intercept and extend the AI assistant's lifecycle. Use it when you need to build event-driven plugins for monitoring, custom handling, or extending OpenCode's capabilities.
sglang
MetaSGLang is a high-performance LLM serving framework that specializes in fast, structured generation for JSON, regex, and agentic workflows using its RadixAttention prefix caching. It delivers significantly faster inference, especially for tasks with repeated prefixes, making it ideal for complex, structured outputs and multi-turn conversations. Choose SGLang over alternatives like vLLM when you need constrained decoding or are building applications with extensive prefix sharing.
evaluating-llms-harness
TestingThis Claude Skill runs the lm-evaluation-harness to benchmark LLMs across 60+ standardized academic tasks like MMLU and GSM8K. It's designed for developers to compare model quality, track training progress, or report academic results. The tool supports various backends including HuggingFace and vLLM models.
langchain
MetaLangChain is a framework for building LLM applications using agents, chains, and RAG pipelines. It supports multiple LLM providers, offers 500+ integrations, and includes features like tool calling and memory management. Use it for rapid prototyping and deploying production systems like chatbots, autonomous agents, and question-answering services.