How do I install the @349/starchild Strategies skill?

Run npx skillmds@latest add starchild-ai-agent/349-starchild-strategies in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is @349/starchild Strategies safe to use?

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Which AI agents work with @349/starchild Strategies?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is @349/starchild Strategies free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published @349/starchild Strategies?

starchild-ai-agent (@starchild-ai-agent) published this skill. Their other Agent Skills are listed on their SkillMD profile.

@349/starchild Strategies by starchild-ai-agent

Name: @349/starchild Strategies
Author: starchild-ai-agent

@349/starchild Strategies

Library of algorithmic trading strategies for perpetual futures. Organized into three families - mean reversion, momentum & trend, and market neutral. Use when a user wants to run a trading strategy, asks what strategies are available, or describes a trading idea that matches one of these patterns.

File contents

starchild strategies v2

Nine curated trading strategies for perpetual futures markets.

workflow

User describes intent → match to category or specific strategy from catalog.json
Load decision tree from references/ for full strategy logic
Configure interactively using scripts/configure.py
Validate with backtest using scripts/backtest.py
Execute through platform's strategy engine

strategy selection guide

User says...	Category	Strategy
"buy dips, sell rips"	mean reversion	rsi reversal
"oversold/overbought signals"	mean reversion	rsi reversal
"trade the spread between BTC/ETH"	mean reversion	convergence trade
"pairs trading"	mean reversion	zscore reversion
"follow the trend"	momentum	volatility breakout
"breakout after quiet periods"	momentum	volatility breakout
"gap continuation"	momentum	gap continuation
"rank and rotate assets"	momentum	rsi rotation
"set up a grid"	market neutral	grid bot
"earn funding without risk"	market neutral	funding arb
"overnight trading"	market neutral	overnight drift

automation scripts

scripts/configure.py - Interactive strategy configurator with risk calculations
scripts/backtest.py - Quick validation against recent market data
scripts/risk_calc.py - Capital requirements and fee analysis
scripts/market_scan.py - Current market regime assessment for strategy selection

progressive disclosure

Browse catalog.json for overview (complexity, capital, holding period)
Load decision tree from references/{strategy-name}.md only when selected
Configure using scripts for interactive setup with validation
Deploy with monitoring using generated JSON configs

⚠️ All strategies enforce pre-trade liquidity checks and fill verification.

Use scripts/configure.py {strategy-id} to generate ready-to-deploy configs.

---name: 349-starchild-strategiesdescription: Library of algorithmic trading strategies for perpetual futures. Organized into three families - mean reversion, momentum & trend, and market neutral. Use when a user wants to run a trading strategy, asks what strategies are available, or describes a trading idea that matches one of these patterns.---# starchild strategies v2Nine curated trading strategies for perpetual futures markets.## workflow1. **User describes intent** → match to category or specific strategy from catalog.json2. **Load decision tree** from `references/` for full strategy logic 3. **Configure interactively** using `scripts/configure.py`4. **Validate with backtest** using `scripts/backtest.py`5. **Execute** through platform's strategy engine## strategy selection guide| User says... | Category | Strategy ||---|---|---|| "buy dips, sell rips" | mean reversion | rsi reversal || "oversold/overbought signals" | mean reversion | rsi reversal || "trade the spread between BTC/ETH" | mean reversion | convergence trade || "pairs trading" | mean reversion | zscore reversion || "follow the trend" | momentum | volatility breakout || "breakout after quiet periods" | momentum | volatility breakout | | "gap continuation" | momentum | gap continuation || "rank and rotate assets" | momentum | rsi rotation || "set up a grid" | market neutral | grid bot || "earn funding without risk" | market neutral | funding arb || "overnight trading" | market neutral | overnight drift |## automation scripts- `scripts/configure.py` - Interactive strategy configurator with risk calculations- `scripts/backtest.py` - Quick validation against recent market data - `scripts/risk_calc.py` - Capital requirements and fee analysis- `scripts/market_scan.py` - Current market regime assessment for strategy selection## progressive disclosure1. **Browse catalog.json** for overview (complexity, capital, holding period)2. **Load decision tree** from `references/{strategy-name}.md` only when selected3. **Configure using scripts** for interactive setup with validation4. **Deploy with monitoring** using generated JSON configs> ⚠️ All strategies enforce pre-trade liquidity checks and fill verification.Use `scripts/configure.py {strategy-id}` to generate ready-to-deploy configs.

Frequently asked questions