Agent-almanac build-parameterized-report
install
source · Clone the upstream repo
git clone https://github.com/pjt222/agent-almanac
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/pjt222/agent-almanac "$T" && mkdir -p ~/.claude/skills && cp -r "$T/i18n/wenyan/skills/build-parameterized-report" ~/.claude/skills/pjt222-agent-almanac-build-parameterized-report-68cc5e && rm -rf "$T"
manifest:
i18n/wenyan/skills/build-parameterized-report/SKILL.mdsource content
建參之報
建受參之報,以諸入自一範生諸變。
用時
- 為異部、區、時段生同報
- 自範建客特之報
- 建篩至特子集之盤
- 以異入自動化週期報
入
- 必要:報範(Quarto 或 R Markdown)
- 必要:參定(名、類、默)
- 可選:批生之參值列
- 可選:輸出報之目
法
第一步:於 YAML 定參
Quarto(
report.qmd):
--- title: "Sales Report: `r params$region`" params: region: "North America" year: 2025 include_forecast: true format: html: toc: true ---
R Markdown(
report.Rmd):
--- title: "Sales Report" params: region: "North America" year: 2025 include_forecast: true output: html_document ---
得: YAML 頭含
params: 塊,諸名參各有正類之默值。
敗則: 若渲失以「object 'params' not found」,確
params: 塊正縮於 YAML 頭。Quarto 中 params 必居 YAML 頂級,非嵌 format: 下。
第二步:於碼用參
```{r} #| label: filter-data data <- full_dataset |> filter(region == params$region, year == params$year) nrow(data) ``` ## Overview for `r params$region` This report covers the `r params$region` region for `r params$year`. ```{r} #| label: forecast #| eval: !expr params$include_forecast # This chunk only runs when include_forecast is TRUE forecast_model <- forecast::auto.arima(data$sales) forecast::autoplot(forecast_model) ```
得: 碼塊以
params$name 引參,條件塊用 #| eval: !expr params$flag(Quarto)。內聯 R 表如 `r params$region` 生動文。
敗則: 若
params$name 返 NULL,驗參名於 YAML 與碼引全合(別大小)。察默值之類正。
第三步:以自訂參渲
單渲:
# Quarto quarto::quarto_render( "report.qmd", execute_params = list(region = "Europe", year = 2025) ) # R Markdown rmarkdown::render( "report.Rmd", params = list(region = "Europe", year = 2025), output_file = "report-europe-2025.html" )
得: 單報以自訂參值覆 YAML 默而成渲。輸出檔建於所指之路。
敗則: Quarto 敗者,察
quarto CLI 已裝且於 PATH。R Markdown 敗者,驗 rmarkdown 已裝。確 execute_params(Quarto)或 params(R Markdown)中參名全合 YAML 定。
第四步:批渲諸報
regions <- c("North America", "Europe", "Asia Pacific", "Latin America") years <- c(2024, 2025) # Generate all combinations combinations <- expand.grid(region = regions, year = years, stringsAsFactors = FALSE) # Render each purrr::pwalk(combinations, function(region, year) { output_name <- sprintf("report-%s-%d.html", tolower(gsub(" ", "-", region)), year) quarto::quarto_render( "report.qmd", execute_params = list(region = region, year = year), output_file = output_name ) })
得: 每區年之合生一 HTML 檔。
敗則: 察 YAML 與碼間參名全合。確諸參值有效。
第五步:加參之驗
#| label: validate-params stopifnot( "Region must be a valid region" = params$region %in% valid_regions, "Year must be numeric" = is.numeric(params$year), "Year must be reasonable" = params$year >= 2020 && params$year <= 2030 )
得: 驗碼塊於各渲之始行,若參逾範或類誤則以明錯止。
敗則: 若
stopifnot() 之錯言不明,改為明 if (!cond) stop("message") 以清診。
第六步:組輸出
# Create output directory output_dir <- file.path("reports", format(Sys.Date(), "%Y-%m")) dir.create(output_dir, recursive = TRUE, showWarnings = FALSE) # Render with output path quarto::quarto_render( "report.qmd", execute_params = list(region = region), output_file = file.path(output_dir, paste0("report-", region, ".html")) )
得: 輸出檔書於日戳之子目,含述名(如
reports/2025-06/report-europe.html)。
敗則: 若
dir.create() 敗,察父目存而可書。Windows 上驗路不過 260 字。
驗
- 報以默參成渲
- 報以諸自訂參集成渲
- 參於處前已驗
- 輸出檔以述名名之
- 條件段依參正渲
- 批生於諸合皆畢
陷
- 參名不合:YAML 名必全合碼中
之引params$name - 型強轉:YAML 或解
為整而碼望字。宜明year: 2025 - 條件估:Quarto 用
,非#| eval: !expr params$flageval = params$flag - 檔覆寫:無獨輸名,每渲覆前
- 批模之記:久批或累記。考用
以隔callr::r()
參
- 基 Quarto 檔立create-quarto-report
- 適參之表generate-statistical-tables
- 參之學報format-apa-report