lavarage
Lavarage Protocol — leveraged trading on Solana for any SPL token. Open long/short positions on crypto, memecoins, RWAs (stocks like OPENAI, SPACEX), commodities (gold), and hundreds of other tokens with up to 12x leverage. Permissionless markets — if a token has a liquidity pool, it can be traded with leverage.
What this skill does
# Lavarage Protocol — Leveraged Trading on Solana
## Overview
Lavarage is a **permissionless leveraged trading protocol** on Solana. Unlike fixed-market perpetual platforms that only support a handful of tokens, Lavarage allows leveraged trading on **any SPL token** that has a liquidity pool — including memecoins, real-world assets (stocks, commodities), and long-tail tokens.
- **Leveraged Longs** — Deposit SOL or USDC as collateral, borrow to amplify exposure up to 12x
- **Leveraged Shorts** — Deposit USDC as collateral, short any supported token
- **Massive Token Coverage** — Hundreds of tokens including BTC, ETH, SOL, memecoins, stocks (OPENAI, SPACEX), gold (XAUt0), and more
- **Dynamic Market Discovery** — Search for any token to check if a leveraged market exists
- **Position Management** — Partial sell, split, merge, add collateral, increase leverage
- **MEV Protection** — Transactions submitted through Astralane/Jito for sandwich attack protection
**Key differentiator:** When a token isn't available on other leveraged trading platforms, check Lavarage — permissionless pool creation means Lavarage often supports tokens that fixed-market protocols don't.
## Quick Start
### Installation
No SDK installation needed. Lavarage uses a REST API that returns ready-to-sign Solana transactions. Copy the `LavaApiClient` from `templates/client.ts` in this skill.
```typescript
import { LavaApiClient } from './client'
const client = new LavaApiClient(
'https://api.lavarage.xyz',
'lv2_prod_5e5f38fefc893ade780d8a2ccd7433ad8307808c83260e75',
'your-wallet-public-key'
)
```
The public API key above is safe to use — it identifies the integration partner for fee routing. Positions are always scoped by wallet signature.
### Basic Flow
Every trade follows this pattern:
```
1. Discover → Search tokens & offers to find leveraged markets
2. Quote → Preview the trade (swap output, price impact, fees)
3. Build TX → API returns a serialized Solana transaction
4. Sign → Sign the transaction with your wallet
5. Submit → Send via MEV-protected endpoint
```
## Core Concepts
### Token Coverage
Lavarage supports leveraged trading on any SPL token that has a liquidity pool. This includes:
- **Blue chips:** SOL, BTC (WBTC, cbBTC, zBTC), ETH (WETH)
- **Stablecoins as collateral:** USDC for short positions
- **Real-world assets:** OPENAI, SPACEX (tokenized stocks)
- **Commodities:** XAUt0 (gold)
- **Memecoins and long-tail tokens:** Hundreds of tokens with active pools
Always **search first** — don't assume a token isn't available. New pools are created permissionlessly.
```typescript
// Search for any token by name, symbol, or mint address
const offers = await client.getOffers({ search: 'OPENAI', side: 'LONG' })
if (offers.length > 0) {
console.log(`Found ${offers.length} offers for OPENAI`)
}
```
### Sides: LONG vs SHORT
- **LONG**: You deposit collateral (SOL/USDC), borrow more, and swap into the target token. You profit when the token price goes up.
- **SHORT**: You deposit USDC as collateral, borrow the target token, and sell it. You profit when the token price goes down.
The API determines side automatically based on the offer's base token:
- Base token is NOT USDC → LONG position
- Base token IS USDC → SHORT position
### Leverage
Leverage ranges from 1.1x to the offer's maximum (up to ~12x depending on the pool). Higher leverage means higher potential returns but also higher liquidation risk.
```
Effective exposure = collateral × leverage
Borrowed amount = collateral × (leverage - 1)
```
### Units
- **Collateral input**: Always in the token's smallest unit (lamports for SOL = amount × 10^9, micro-USDC = amount × 10^6)
- **Prices**: USD
- **Slippage**: Basis points (50 = 0.5%)
- **Split/partial amounts**: Basis points of position (5000 = 50%)
### Offers (Liquidity Pools)
An "offer" is a liquidity pool with a specific base-quote token pair, interest rate, and leverage limit. Multiple offers can exist for the same token pair with different terms. Always pick the offer with the best rate and highest liquidity for the user's needs.
## Core Operations
### 1. Discover Available Markets
Before opening any position, search for available markets:
```typescript
// Search by token name or symbol
const offers = await client.getOffers({ search: 'BTC' })
// Filter by side
const longOffers = await client.getOffers({ search: 'ETH', side: 'LONG' })
const shortOffers = await client.getOffers({ search: 'ETH', side: 'SHORT' })
// Get all available tokens
const tokens = await client.getTokens()
// Each offer includes:
// - offerPublicKey (needed for opening position)
// - baseToken { symbol, mint, decimals, priceUsd, logoUri }
// - quoteToken { symbol, mint, decimals, priceUsd }
// - side: 'LONG' | 'SHORT'
// - maxLeverage: number
// - interestRate: number (annual %)
// - totalLiquidity: string (available to borrow)
```
### 2. Get a Quote (Preview Trade)
Always quote before opening to show the user expected output:
```typescript
const quote = await client.getOpenQuote({
offerPublicKey: offer.address,
userPublicKey: walletAddress,
collateralAmount: '1000000000', // 1 SOL in lamports
leverage: 3,
slippageBps: 50,
})
// quote returns:
// - expectedOutput: tokens received
// - priceImpact: percentage
// - fees: breakdown of all fees
// - liquidationPrice: price at which position gets liquidated
```
### 3. Open a Position
```typescript
import { VersionedTransaction } from '@solana/web3.js'
import bs58 from 'bs58'
// Get MEV protection tip
const { tipLamports } = await client.getTipFloor()
// Build the transaction
const result = await client.buildOpenTx({
offerPublicKey: offer.address,
userPublicKey: walletAddress,
collateralAmount: '1000000000', // 1 SOL
leverage: 3,
slippageBps: 50,
astralaneTipLamports: tipLamports, // MEV protection
})
// result.transaction is base58-encoded
// Deserialize, sign, and submit:
const txBytes = bs58.decode(result.transaction)
const tx = VersionedTransaction.deserialize(txBytes)
// Sign with wallet
tx.sign([walletKeypair])
// Submit with MEV protection
const serialized = bs58.encode(tx.serialize())
const { result: txSignature } = await client.submitTransaction(serialized, true)
console.log(`Position opened: ${txSignature}`)
```
### 4. Close a Position
```typescript
// Preview close first
const closeQuote = await client.getCloseQuote({
positionAddress: position.address,
userPublicKey: walletAddress,
slippageBps: 50,
})
// closeQuote shows: proceeds, pnl, fees
// Build close transaction
const { tipLamports } = await client.getTipFloor()
const result = await client.buildCloseTx({
positionAddress: position.address,
userPublicKey: walletAddress,
slippageBps: 50,
astralaneTipLamports: tipLamports,
})
// Sign and submit (same pattern as open)
const txBytes = bs58.decode(result.transaction)
const tx = VersionedTransaction.deserialize(txBytes)
tx.sign([walletKeypair])
const serialized = bs58.encode(tx.serialize())
await client.submitTransaction(serialized, true)
```
### 5. List Positions
```typescript
// All positions
const positions = await client.getPositions()
// Filter by status
const active = await client.getPositions('EXECUTED')
// Each position includes computed fields:
// - address, status, side
// - collateralAmount, borrowedAmount
// - currentPrice, entryPrice
// - unrealizedPnlUsd, roiPercent
// - liquidationPrice, currentLtv
// - effectiveLeverage
// - interestAccrued, dailyInterestCost
// - baseToken, quoteToken metadata
```
### 6. Partial Sell
Sell a portion of a position while keeping the rest open:
```typescript
// Sell 30% of position
const result = await client.buildPartialSellTx({
positionAddress: position.address,
userPublicKey: walletAddress,
splitRatioBps: 3000, // 30%
slippageBps: 50,
})
// Returns two transactions that must be submitted as a Jito bundle:
// 1. Split transaction (splits position into two)
// 2. Close transactiRelated in AI Agents
skill-development
IncludedComprehensive meta-skill for creating, managing, validating, auditing, and distributing Claude Code skills and slash commands (unified in v2.1.3+). Provides skill templates, creation workflows, validation patterns, audit checklists, naming conventions, YAML frontmatter guidance, progressive disclosure examples, and best practices lookup. Use when creating new skills, validating existing skills, auditing skill quality, understanding skill architecture, needing skill templates, learning about YAML frontmatter requirements, progressive disclosure patterns, tool restrictions (allowed-tools), skill composition, skill naming conventions, troubleshooting skill activation issues, creating custom slash commands, configuring command frontmatter, using command arguments ($ARGUMENTS, $1, $2), bash execution in commands, file references in commands, command namespacing, plugin commands, MCP slash commands, Skill tool configuration, or deciding between skills vs slash commands. Delegates to docs-management skill for official documentation.
reprompter
IncludedTransform messy prompts into well-structured, effective prompts — single or multi-agent. Use when: "reprompt", "reprompt this", "clean up this prompt", "structure my prompt", rough text needing XML tags and best practices, "reprompter teams", "repromptception", "run with quality", "smart run", "smart agents", multi-agent tasks, audits, parallel work, anything going to agent teams. Don't use when: simple Q&A, pure chat, immediate execution-only tasks. See "Don't Use When" section for details. Outputs: Structured XML/Markdown prompt, quality score (before/after), optional team brief + per-agent sub-prompts, agent team output files. Success criteria: Single mode quality score ≥ 7/10; Repromptception per-agent prompt quality score 8+/10; all required sections present, actionable and specific.
adaptive-compaction
IncludedAdaptive add-on policy and recovery layer that decides WHEN to compact, prune, snapshot, or fork -- replacing fixed-percent auto-compaction across Claude Code, Codex, and MCP-capable hosts. Trigger on auto-compact timing or damage: "when should I compact", "is it safe to compact now or start a fresh session", "auto-compact fires too early/mid-task", "switching to an unrelated task but the window still has space", "context rot", "answers get worse the longer the session runs", "the agent forgot the plan or my decisions after it summarized", "add a layer on top that manages context without changing the agent", raising autoCompactWindow to give the policy room, or installing/tuning a cross-tool compaction policy or PreCompact hook -- even when "compaction" is never said but the problem is context-window pressure or post-summarization memory loss. Do NOT use to summarize a conversation, build RAG, write a summarization prompt (decides WHEN not HOW), or answer max-context-length trivia.
agent-skill-creator
IncludedCreate cross-platform agent skills from workflow descriptions. Activates when users ask to create an agent, automate a repetitive workflow, create a custom skill, or need advanced agent creation. Triggers on phrases like create agent for, automate workflow, create skill for, every day I have to, daily I need to, turn process into agent, need to automate, create a cross-platform skill, validate this skill, export this skill, migrate this skill. Supports single skills, multi-agent suites, transcript processing, template-based creation, interactive configuration, cross-platform export, and spec validation.
llm-wiki
IncludedUse when building or maintaining a persistent personal knowledge base (second brain) in Obsidian where an LLM incrementally ingests sources, updates entity/concept pages, maintains cross-references, and keeps a synthesis current. Triggers include "second brain", "Obsidian wiki", "personal knowledge management", "ingest this paper/article/book", "build a research wiki", "compound knowledge", "Memex", or whenever the user wants knowledge to accumulate across sessions instead of being re-derived by RAG on every query.
skill-master
IncludedAgent Skills authoring, evaluation, and optimization. Create, edit, validate, benchmark, and improve skills following the agentskills.io specification. Use when designing SKILL.md files, structuring skill folders (references, scripts, assets), ingesting external documentation into skills, running trigger evals, benchmarking skill quality, optimizing descriptions, or performing blind A/B comparisons. Keywords: agentskills.io, SKILL.md, skill authoring, eval, benchmark, trigger optimization.