[create-pull-request] automated change

Author: GitHub Actions

skills/csharp/datasets/alternative-data/SKILL.md

@@ -54,10 +54,10 @@ public override void OnData(Slice slice)
 | `EODHDUpcomingEarnings` | Upcoming Earnings | `ReportDate`, `ReportTime`, `Estimate` |
 | `EODHDUpcomingIPOs` | Upcoming IPOs | `Name`, `Exchange`, `IpoDate`, `FilingDate`, `AmendedDate`, `LowestPrice`, `HighestPrice`, `OfferPrice`, `Shares`, `DealType` |
 | `EODHDUpcomingSplits` | Upcoming Splits | `SplitDate`, `Optionable`, `SplitFactor` |
-| `BLSEconomicSurveysCes` | US Bureau of Labor Statistics (BLS) | `Value` |
-| `BLSEconomicSurveysCpi` | US Bureau of Labor Statistics (BLS) | `Value` |
-| `BLSEconomicSurveysJolts` | US Bureau of Labor Statistics (BLS) | `Value` |
-| `BLSEconomicSurveysPpi` | US Bureau of Labor Statistics (BLS) | `Value` |
+| `BLSEconomicSurveysCes` | US Bureau of Labor Statistics (BLS) | `TotalNonfarm`, `TotalPrivate`, `AverageHourlyEarnings`, `AverageWeeklyHours`, `AverageWeeklyEarnings`, `ProductionHourlyEarnings`, `ProductionEmployees`, `Manufacturing`, `GoodsProducing`, `PrivateServiceProviding`, `Construction`, `RetailTrade`, `FinancialActivities`, `EducationAndHealthServices`, `LeisureAndHospitality`, `MiningAndLogging` |
+| `BLSEconomicSurveysCpi` | US Bureau of Labor Statistics (BLS) | `AllItems`, `CoreCpi`, `Food`, `FoodAtHome`, `FoodAwayFromHome`, `Energy`, `Shelter`, `RentOfPrimaryResidence`, `Gasoline`, `MedicalCare`, `Apparel`, `EducationAndCommunication`, `NewVehicles`, `UsedCarsAndTrucks`, `CollegeTuitionAndFees` |
+| `BLSEconomicSurveysJolts` | US Bureau of Labor Statistics (BLS) | `JobOpenings`, `JobOpeningsRate`, `Hires`, `HiresRate`, `Quits`, `QuitsRate`, `TotalSeparations`, `LayoffsAndDischarges` |
+| `BLSEconomicSurveysPpi` | US Bureau of Labor Statistics (BLS) | `FinalDemand`, `CorePpi`, `FinalDemandLessFoodEnergyTrade`, `FinalDemandGoods`, `FinalDemandServices`, `FinalDemandConstruction`, `AllCommodities`, `FarmProducts`, `ProcessedFoodsAndFeeds`, `CrudePetroleum`, `FinalDemandGoodsLessFoods` |
 | `USEnergy` | US Energy Information Administration (EIA) | `Value` |
 | `Fred` | US Federal Reserve (FRED) | `Value` |
 | `QuiverGovernmentContract` | US Government Contracts | `Description`, `Agency`, `Amount` |

skills/csharp/importing-data/custom-data/SKILL.md

@@ -99,20 +99,7 @@ public class MyCustomData : BaseData
     }
 }
 ```
-Research notebooks are different: `qb.object_store.read_bytes` returns the raw zip bytes, so unzip them before loading the inner file.
-```python
-qb = QuantBook()
-byte_data = qb.object_store.read_bytes("/market-regime-signals.zip")
-
-import io
-import zipfile
-import pandas as pd
-
-with zipfile.ZipFile(io.BytesIO(byte_data)) as archive:
-    filename = archive.namelist()[0]
-    with archive.open(filename) as file:
-        df = pd.read_csv(file)
-```
+Research notebooks are different: py`qb.object_store.read_bytes` returns the raw zip bytes, so unzip them before loading the inner file.
 - Live/backtest split: branch in `GetSource` only when the source differs; return identical parsed objects from both paths.
 - Arrays/unfolding: keep the requested JSON array shape. Do not convert it to JSONL or CSV unless the user explicitly asks. Store Object Store JSON array files as one-line/minified JSON under the requested key, and do not change Object Store keys during debugging unless you report the change. Use `FileFormat.UnfoldingCollection`, parse the array, sort emitted objects by `EndTime`, and return `new BaseDataCollection(objects.Last().EndTime, config.Symbol, objects)`.
 ```csharp

skills/python/datasets/alternative-data/SKILL.md

@@ -50,10 +50,10 @@ def on_data(self, slice: Slice) -> None:
 | `EODHDUpcomingEarnings` | Upcoming Earnings | `report_date`, `report_time`, `estimate` |
 | `EODHDUpcomingIPOs` | Upcoming IPOs | `name`, `exchange`, `ipo_date`, `filing_date`, `amended_date`, `lowest_price`, `highest_price`, `offer_price`, `shares`, `deal_type` |
 | `EODHDUpcomingSplits` | Upcoming Splits | `split_date`, `optionable`, `split_factor` |
-| `BLSEconomicSurveysCes` | US Bureau of Labor Statistics (BLS) | `value` |
-| `BLSEconomicSurveysCpi` | US Bureau of Labor Statistics (BLS) | `value` |
-| `BLSEconomicSurveysJolts` | US Bureau of Labor Statistics (BLS) | `value` |
-| `BLSEconomicSurveysPpi` | US Bureau of Labor Statistics (BLS) | `value` |
+| `BLSEconomicSurveysCes` | US Bureau of Labor Statistics (BLS) | `total_nonfarm`, `total_private`, `average_hourly_earnings`, `average_weekly_hours`, `average_weekly_earnings`, `production_hourly_earnings`, `production_employees`, `manufacturing`, `goods_producing`, `private_service_providing`, `construction`, `retail_trade`, `financial_activities`, `education_and_health_services`, `leisure_and_hospitality`, `mining_and_logging` |
+| `BLSEconomicSurveysCpi` | US Bureau of Labor Statistics (BLS) | `all_items`, `core_cpi`, `food`, `food_at_home`, `food_away_from_home`, `energy`, `shelter`, `rent_of_primary_residence`, `gasoline`, `medical_care`, `apparel`, `education_and_communication`, `new_vehicles`, `used_cars_and_trucks`, `college_tuition_and_fees` |
+| `BLSEconomicSurveysJolts` | US Bureau of Labor Statistics (BLS) | `job_openings`, `job_openings_rate`, `hires`, `hires_rate`, `quits`, `quits_rate`, `total_separations`, `layoffs_and_discharges` |
+| `BLSEconomicSurveysPpi` | US Bureau of Labor Statistics (BLS) | `final_demand`, `core_ppi`, `final_demand_less_food_energy_trade`, `final_demand_goods`, `final_demand_services`, `final_demand_construction`, `all_commodities`, `farm_products`, `processed_foods_and_feeds`, `crude_petroleum`, `final_demand_goods_less_foods` |
 | `USEnergy` | US Energy Information Administration (EIA) | `value` |
 | `Fred` | US Federal Reserve (FRED) | `value` |
 | `QuiverGovernmentContract` | US Government Contracts | `description`, `agency`, `amount` |

skills/python/importing-data/custom-data/SKILL.md

@@ -81,7 +81,7 @@ class MyCustomData(PythonData):
             FileFormat.CSV
         )
 ```
-Research notebooks are different: `qb.object_store.read_bytes` returns the raw zip bytes, so unzip them before loading the inner file.
+Research notebooks are different: py`qb.object_store.read_bytes` returns the raw zip bytes, so unzip them before loading the inner file.
 ```python
 qb = QuantBook()
 byte_data = qb.object_store.read_bytes("/market-regime-signals.zip")