fix list rendering

docs/asl/ref/clamp-max.md

@@ -24,6 +24,7 @@ and handling occasional data spikes.
 ## Problem and Solution
 
 The axis parameters for controlling [axis bounds](../../api/graph/axis-bounds.md) have limitations:
+
 - They apply to everything on the axis and cannot target specific lines
 - For data with occasional spikes, they can hide important details in the rest of the data
 

docs/asl/ref/cq.md

@@ -26,6 +26,7 @@ Apply a common application filter to an expression with multiple queries:
 @@@
 
 This transforms:
+
 - `name,ssCpuUser,:eq` becomes `name,ssCpuUser,:eq,nf.app,alerttest,:eq,:and`
 - `name,DiscoveryStatus_UP,:eq` becomes `name,DiscoveryStatus_UP,:eq,nf.app,alerttest,:eq,:and`
 

docs/asl/ref/derivative.md

@@ -15,6 +15,7 @@ converting cumulative values back to rates or identifying trends in the data.
 ## Behavior
 
 Each output value represents the difference between consecutive datapoints:
+
 - `derivative[i] = input[i] - input[i-1]`
 - The first datapoint will typically be NaN since there's no previous value
 - Missing values (NaN) are handled as 0 for the calculation
@@ -32,11 +33,13 @@ Integral Then Derivative: /api/v1/graph?w=200&h=125&s=e-3h&e=2012-01-01T07:00&tz
 ## Relationship with Integral
 
 `:derivative` and `:integral` have an asymmetric relationship:
+
 - Applying `:integral` then `:derivative` approximates the original signal
 - Applying `:derivative` then `:integral` does NOT restore the original signal
 
 The derivative operation loses information that cannot be recovered with integral. For example,
 with a constant input like `1`:
+
 - `1,:derivative` produces `0` (derivative of constant is zero)
 - `0,:integral` produces `0` (integral of zero stays zero)
 - The original constant value `1` is permanently lost

docs/asl/ref/des-simple.md

@@ -20,6 +20,7 @@ the default values may not be optimal for all use cases.
 ## Default Configuration
 
 This operator is equivalent to calling `:des` with these default parameters:
+
 - **Training**: 10 data points
 - **Alpha**: 0.1 (level smoothing factor)
 - **Beta**: 0.5 (trend smoothing factor)

docs/asl/ref/div.md

@@ -9,6 +9,7 @@ Compute a new time series where each interval has the value `(a / b)` where `a`
 and `b` are the corresponding intervals in the input time series.
 
 Special handling for division by zero:
+
 - If both `a` and `b` are 0, the result is 0 (instead of NaN)
 - If only `b` (divisor) is 0, the result is NaN
 

docs/asl/ref/eureka-avg.md

@@ -23,6 +23,7 @@ through Eureka.
 ## When to Use
 
 This operator is specifically designed for scenarios where:
+
 - Metrics represent incoming traffic routed through Eureka service discovery
 - You want average per active instance, not per total deployed instance
 - The goal is to measure per-node load for traffic-bearing services
@@ -47,6 +48,7 @@ Computing average requests per second per active instance:
 ## Infrastructure Tag Scoping
 
 The operator automatically uses common tags to ensure the denominator matches the numerator scope:
+
 - `nf.app` - Application name
 - `nf.cluster` - Cluster identifier
 - `nf.region` - AWS region

docs/asl/ref/limit.md

@@ -18,6 +18,7 @@ when dealing with large result sets.
 ## Selection Behavior
 
 The limit operation selects the first N series based on the current ordering:
+
 - If no sort is specified, series are ordered by legend text (alphabetical)
 - If [:sort](sort.md) is used, series are ordered by the specified statistic
 - The [:order](order.md) operation controls ascending vs. descending sort direction

docs/asl/ref/percentiles-heatmap.md

@@ -31,6 +31,7 @@ name,requestLatency,:eq,(,percentile,),:by,:heatmap
 ```
 
 The resulting heatmap shows:
+
 - **X-axis**: Time progression
 - **Y-axis**: Percentile levels (P50, P90, P95, P99, etc.)
 - **Color intensity**: Magnitude of values at each percentile/time combination

docs/asl/ref/sdes-simple.md

@@ -15,6 +15,7 @@ stability than the standard [:des-simple](des-simple.md) operator.
 ## Default Configuration
 
 This operator is equivalent to calling `:sdes` with these default parameters:
+
 - **Training**: 10 data points
 - **Alpha**: 0.1 (level smoothing factor)
 - **Beta**: 0.5 (trend smoothing factor)

docs/asl/ref/sdes.md

@@ -37,6 +37,7 @@ Result:
 ```
 
 Where:
+
 - **A**: Both functions wait for training window boundary
 - **T1/T2**: Training phases for each function
 - **P1/P2**: Prediction phases alternating between functions

docs/asl/ref/stddev.md

@@ -29,6 +29,7 @@ from the different time series in the group using the computational formula:
 ```
 
 Where:
+
 - `N` = number of non-NaN values at that timestamp
 - `sum(x)` = sum of all time series values at that timestamp
 - `sum(x²)` = sum of squared time series values at that timestamp

docs/asl/ref/time-span.md

@@ -48,6 +48,7 @@ Absolute: /api/v1/graph?w=200&h=125&s=e-3h&e=2012-01-01T07:00&tz=UTC&q=2014-02-2
 ## Signal Output
 
 The operator produces a signal time series where:
+
 - **Value 1**: Time falls within the specified range [startTime, endTime]
 - **Value 0**: Time falls outside the specified range
 - This creates a boolean-like signal suitable for logical operations