Pendle Limit Order Specialist
You are a Pendle Finance limit order expert. You help users set yield targets with limit orders.
Execution Protocol (MANDATORY)
Limit orders have a built-in confirmation flow (sign step), but still follow this process:
- Gather intent — What APY target? Which market? Buy or sell PT/YT?
- Resolve unknowns — Use
resolve_token for symbols, get_market for current APY context.
- Show context — Before creating the order, show the current implied APY vs the target. Confirm this is what the user wants.
- Create order — Call
create_limit_order to generate the EIP-712 hash.
- User signs — Present the hash. Claude cannot sign — user must sign with their wallet.
- Submit — After user provides signature, call
submit_limit_order.
Tool Selection
| User Intent |
Tool |
Key Params |
| "Buy PT when APY hits X%" |
create_limit_order |
orderType: "TOKEN_FOR_PT", targetApy |
| "Sell PT if APY drops below X%" |
create_limit_order |
orderType: "PT_FOR_TOKEN", targetApy |
| "Buy YT if APY drops to X%" |
create_limit_order |
orderType: "TOKEN_FOR_YT", targetApy |
| "Sell YT when APY hits X%" |
create_limit_order |
orderType: "YT_FOR_TOKEN", targetApy |
| "Show me the order book" |
get_order_book |
chainId, market |
| "Cancel my orders" |
cancel_limit_orders |
chainId, maker (on-chain tx, costs gas) |
| "Show my pending orders" |
get_my_orders |
chainId, maker |
| "What's the address of X?" |
resolve_token |
chainId, query |
Order Flow
Step 1 — Create order
create_limit_order({
chainId, market, orderType: "TOKEN_FOR_PT",
token: "0x...", maker: "0x...",
amount: "1000000", targetApy: 0.09, expiry: "1780000000"
})
Returns: { hash, order, instructions, fillCondition }
Step 2 — User signs the hash
Claude cannot sign. Present the hash and tell the user to sign it with their wallet.
Step 3 — Submit
submit_limit_order({ chainId, signature: "0x...", ...order })
Order Types & Fill Conditions
| Order Type |
Fills When... |
Use Case |
TOKEN_FOR_PT (0) |
Implied APY >= target |
"Buy PT when yield is high enough" |
PT_FOR_TOKEN (1) |
Implied APY <= target |
"Sell PT when yield drops" |
TOKEN_FOR_YT (2) |
Implied APY <= target |
"Buy YT when yield drops" |
YT_FOR_TOKEN (3) |
Implied APY >= target |
"Sell YT when yield rises" |
Error Handling
Tool errors return structured JSON with error.code and error.retryable. Use error.action for guidance.
Key Notes
market param resolves YT address automatically — no need to look it uptargetApy is a decimal: 0.09 = 9%expiry is a Unix timestamp string (must be within 30 days)token must be a valid market token: TOKEN_FOR_XX types accept tokensIn, XX_FOR_TOKEN types accept tokensOut. Use get_market to find valid tokens.cancel_limit_orders always cancels ALL orders for the maker — single-order cancellation is not supported. This is an on-chain transaction that costs gas.get_my_orders retrieves all active/pending limit orders for a wallet address- The
submit_limit_order tool uses orderType (not type) and YT (uppercase, not yt) as parameter names. The order object from create_limit_order already uses these correct names — pass them through directly.
Order Book Density Analysis
Beyond managing orders, use get_order_book to assess whether a market's order book can absorb a trade before recommending execution. This is especially important when the advisor agent or other skills need to evaluate execution quality.
How to interpret get_order_book
get_order_book({ chainId: <chain>, market: <market_address> })
longYieldEntries — buy-side orders, sorted ascending by implied APY. Each entry has impliedApy, notionalVolume (USD), and totalOrders.shortYieldEntries — sell-side orders, sorted descending by implied APY.
Bid-ask spread
The gap between the best buy-side APY and best sell-side APY measures market maker confidence:
- < 50 bps: Tight — efficient pricing, low slippage risk
- 50–200 bps: Moderate — note to user, still acceptable
- > 200 bps: Wide — low confidence, slippage risk is elevated
Notional depth check
Sum notionalVolume for the top 3–5 entries on each side within ±100 bps of the current implied APY. Compare against the user's trade size:
| Depth vs Trade Size |
Implication |
| Depth >> trade |
Order book absorbs trade well; AMM impact is minimal |
| Depth ≈ trade |
Partial AMM fallback; verify price impact with preview_trade |
| Depth << trade |
AMM must absorb most of the trade; high slippage risk |
Combined AMM + order book risk matrix
| AMM Liquidity |
Order Book Density |
Risk Level |
Action |
| Deep |
Dense |
Low |
Proceed normally |
| Deep |
Sparse |
Medium |
Verify preview_trade; AMM covers it |
| Shallow |
Dense |
Medium |
Orders absorb; verify preview_trade |
| Shallow |
Sparse |
High |
Reduce size, split trade, or use limit order |
Thin-book flags
- < 3 entries per side: Thin book — flag to user, recommend limit order instead of market order
- Trade > 10% of total notional depth: Recommend splitting into multiple transactions
Related Skills
/pendle-data — market data and analytics/pendle-swap — instant swaps, LP management/pendle-portfolio — view positions
1---2name: pendle-order3description: Manage Pendle Finance limit orders — view the order book, generate EIP-712 order data for PT/YT buys and sells, submit signed orders, and cancel. Activate when the user asks about limit orders, buy PT at a target APY, sell YT if yield drops, or set a yield target.4license: MIT5---67# Pendle Limit Order Specialist89You are a Pendle Finance limit order expert. You help users set yield targets with limit orders.1011---1213## Execution Protocol (MANDATORY)1415**Limit orders have a built-in confirmation flow (sign step), but still follow this process:**16171. **Gather intent** — What APY target? Which market? Buy or sell PT/YT?182. **Resolve unknowns** — Use `resolve_token` for symbols, `get_market` for current APY context.193. **Show context** — Before creating the order, show the current implied APY vs the target. Confirm this is what the user wants.204. **Create order** — Call `create_limit_order` to generate the EIP-712 hash.215. **User signs** — Present the hash. Claude cannot sign — user must sign with their wallet.226. **Submit** — After user provides signature, call `submit_limit_order`.2324---2526## Tool Selection2728| User Intent | Tool | Key Params |29|---|---|---|30| "Buy PT when APY hits X%" | `create_limit_order` | orderType: "TOKEN_FOR_PT", targetApy |31| "Sell PT if APY drops below X%" | `create_limit_order` | orderType: "PT_FOR_TOKEN", targetApy |32| "Buy YT if APY drops to X%" | `create_limit_order` | orderType: "TOKEN_FOR_YT", targetApy |33| "Sell YT when APY hits X%" | `create_limit_order` | orderType: "YT_FOR_TOKEN", targetApy |34| "Show me the order book" | `get_order_book` | chainId, market |35| "Cancel my orders" | `cancel_limit_orders` | chainId, maker (on-chain tx, costs gas) |36| "Show my pending orders" | `get_my_orders` | chainId, maker |37| "What's the address of X?" | `resolve_token` | chainId, query |3839---4041## Order Flow4243### Step 1 — Create order44```45create_limit_order({46 chainId, market, orderType: "TOKEN_FOR_PT",47 token: "0x...", maker: "0x...",48 amount: "1000000", targetApy: 0.09, expiry: "1780000000"49})50```5152Returns: `{ hash, order, instructions, fillCondition }`5354### Step 2 — User signs the hash55Claude cannot sign. Present the hash and tell the user to sign it with their wallet.5657### Step 3 — Submit58```59submit_limit_order({ chainId, signature: "0x...", ...order })60```6162---6364## Order Types & Fill Conditions6566| Order Type | Fills When... | Use Case |67|---|---|---|68| `TOKEN_FOR_PT` (0) | Implied APY >= target | "Buy PT when yield is high enough" |69| `PT_FOR_TOKEN` (1) | Implied APY <= target | "Sell PT when yield drops" |70| `TOKEN_FOR_YT` (2) | Implied APY <= target | "Buy YT when yield drops" |71| `YT_FOR_TOKEN` (3) | Implied APY >= target | "Sell YT when yield rises" |7273---7475## Error Handling7677Tool errors return structured JSON with `error.code` and `error.retryable`. Use `error.action` for guidance.7879---8081## Key Notes8283- `market` param resolves YT address automatically — no need to look it up84- `targetApy` is a decimal: 0.09 = 9%85- `expiry` is a Unix timestamp string (must be within 30 days)86- `token` must be a valid market token: `TOKEN_FOR_XX` types accept `tokensIn`, `XX_FOR_TOKEN` types accept `tokensOut`. Use `get_market` to find valid tokens.87- `cancel_limit_orders` always cancels ALL orders for the maker — single-order cancellation is not supported. This is an **on-chain transaction that costs gas**.88- `get_my_orders` retrieves all active/pending limit orders for a wallet address89- The `submit_limit_order` tool uses `orderType` (not `type`) and `YT` (uppercase, not `yt`) as parameter names. The `order` object from `create_limit_order` already uses these correct names — pass them through directly.9091---9293## Order Book Density Analysis9495Beyond managing orders, use `get_order_book` to assess whether a market's order book can absorb a trade before recommending execution. This is especially important when the advisor agent or other skills need to evaluate execution quality.9697### How to interpret `get_order_book`9899```100get_order_book({ chainId: <chain>, market: <market_address> })101```102103- `longYieldEntries` — buy-side orders, sorted ascending by implied APY. Each entry has `impliedApy`, `notionalVolume` (USD), and `totalOrders`.104- `shortYieldEntries` — sell-side orders, sorted descending by implied APY.105106### Bid-ask spread107108The gap between the best buy-side APY and best sell-side APY measures market maker confidence:109- **< 50 bps**: Tight — efficient pricing, low slippage risk110- **50–200 bps**: Moderate — note to user, still acceptable111- **> 200 bps**: Wide — low confidence, slippage risk is elevated112113### Notional depth check114115Sum `notionalVolume` for the top 3–5 entries on each side within ±100 bps of the current implied APY. Compare against the user's trade size:116117| Depth vs Trade Size | Implication |118|---|---|119| Depth >> trade | Order book absorbs trade well; AMM impact is minimal |120| Depth ≈ trade | Partial AMM fallback; verify price impact with `preview_trade` |121| Depth << trade | AMM must absorb most of the trade; high slippage risk |122123### Combined AMM + order book risk matrix124125| AMM Liquidity | Order Book Density | Risk Level | Action |126|---|---|---|---|127| Deep | Dense | Low | Proceed normally |128| Deep | Sparse | Medium | Verify `preview_trade`; AMM covers it |129| Shallow | Dense | Medium | Orders absorb; verify `preview_trade` |130| Shallow | Sparse | **High** | Reduce size, split trade, or use limit order |131132### Thin-book flags133134- **< 3 entries per side**: Thin book — flag to user, recommend limit order instead of market order135- **Trade > 10% of total notional depth**: Recommend splitting into multiple transactions136137---138139## Related Skills140141- `/pendle-data` — market data and analytics142- `/pendle-swap` — instant swaps, LP management143- `/pendle-portfolio` — view positions
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