Fee Optimizations

Fee Optimizations is an AI Engineering skill for Claude Code, published by Superior-Trade in superior-skills.

207 stars9 forkson Superior-Trade/superior-skillsAdded 2026/09/05Repository updated 2026/09/03

agent-skillsai-agentsalgorithmic-tradingbacktestingequitieshyperliquidllmmcppolymarketprediction-marketsquantstockstradingtrading-bottrading-strategies

Install in seconds

Install Fee Optimizations

Copy Fee Optimizations into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/Superior-Trade/superior-skills/tree/main/skills/fees-optimizations ~/.claude/skills/fees-optimizations

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/Superior-Trade/superior-skills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/fees-optimizations/SKILL.md in Superior-Trade/superior-skills
Installs to: ~/.claude/skills/fees-optimizations
Collection: One of 25 skills cataloged from this repository
Category: AI Engineering — 3101 skills

What Fee Optimizations does

Fee Optimizations helps you reduce trading costs in Freqtrade on Hyperliquid by choosing maker-friendly order settings, accounting for builder fees, and reasoning about slippage. Use it when backtests diverge from live results or when a high-turnover strategy may be eaten by fees.

Fee Optimizations is cataloged under AI Engineering on DirSkills. Fee Optimizations comes from a repository tagged agent-skills, ai-agents, algorithmic-trading, backtesting and equities.

Documentation

README

Excerpt

Freqtrade × Hyperliquid: Fee Optimization

When to use

A user asks why their backtest PnL doesn't match live PnL.
A user designs a tight-target scalp / market-making / grid strategy and you want to flag fee-as-a-fraction-of-edge concerns before they deploy.
A user explicitly asks about maker vs taker, post-only, fee tiers, builder code, or slippage.
Any time you're about to suggest an order_types/entry_pricing/exit_pricing block, anchor it to this skill's recommendations.

What you're actually paying

Fees on a Superior Trade Hyperliquid deployment have three layers, each tunable:

1. Hyperliquid exchange fees (the floor)

Hyperliquid's perp fees as of writing (verify against https://hyperliquid.gitbook.io/hyperliquid-docs/trading/fees for current numbers):

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Fee Optimizations

What else does Superior-Trade publish alongside Fee Optimizations?
Fee Optimizations is one of 25 skills that DirSkills catalogs from Superior-Trade/superior-skills, the repository it ships in. Its siblings there include Aerodrome Trading, Backtesting and Basis Arb. Each one is a separate skill with its own page in this directory, installs the same way Fee Optimizations does, and is maintained by Superior-Trade in that same repository. The rest of the collection is listed on the Superior-Trade/superior-skills page.
How does Fee Optimizations compare to other AI Engineering skills?
Fee Optimizations ranks #2760 by stars among the 3101 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Fee Optimizations against them. Open each page to compare what they document and how they install.