format-citations
About
This skill formats academic citations in styles like APA and IEEE using CSL processors and R tools. It converts between styles, generates in-text citations and reference lists, and validates formatting. Use it when rendering Quarto/R Markdown documents, converting bibliographies, or setting up citation infrastructure for projects.
Quick Install
Claude Code
Recommendednpx skills add pjt222/agent-almanac -a claude-code/plugin add https://github.com/pjt222/agent-almanacgit clone https://github.com/pjt222/agent-almanac.git ~/.claude/skills/format-citationsCopy and paste this command in Claude Code to install this skill
Documentation
格引用
以 CSL(Citation Style Language)處理器與 R 具格諸學風之引用。此技含 BibTeX 條轉為正格 APA 7、Chicago、Vancouver、IEEE、自風之文內引與參考列。用 Pandoc citeproc、knitcitations 包、Quarto 原引擎以造可復製之文。
用時
- 渲附格引之 R Markdown 或 Quarto 文
- 轉參考自一引風至另一
- 自 .bib 生獨立參考列
- 驗文內引合某風
- 為多文項(書、論)設引基設
入
- 必要:.bib 檔(或 Pandoc 認之他參源)
- 必要:目引風(如
apa、chicago-author-date、ieee) - 可選:CSL 檔路(默:用 Pandoc 內建風)
- 可選:出格(
html、pdf、docx;默:自文推) - 可選:語特格之 locale(默
en-US)
法
第一步:驗引基設
# Check Pandoc availability (required for citeproc)
pandoc_path <- Sys.which("pandoc")
if (!nzchar(pandoc_path)) {
pandoc_path <- Sys.getenv("RSTUDIO_PANDOC")
}
stopifnot("Pandoc not found" = nzchar(pandoc_path))
message(sprintf("Pandoc: %s", system2(pandoc_path, "--version", stdout = TRUE)[1]))
# Check for citeproc support
citeproc_ok <- any(grepl("citeproc", system2(pandoc_path, "--list-extensions", stdout = TRUE)))
message(sprintf("Citeproc: %s", ifelse(citeproc_ok, "built-in", "external needed")))
得: Pandoc 版本 2.11+ 察附內建 citeproc 援。
敗則: 裝 Pandoc 或於 .Renviron 設 RSTUDIO_PANDOC 指 RStudio 所附 Pandoc。Quarto 亦自攜 Pandoc。
第二步:設文 YAML 供引
R Markdown:
---
title: "My Document"
bibliography: references.bib
csl: apa.csl
link-citations: true
output:
html_document:
pandoc_args: ["--citeproc"]
---
Quarto:
---
title: "My Document"
bibliography: references.bib
csl: apa.csl
link-citations: true
cite-method: citeproc
---
得: YAML 頭正引 .bib 與 CSL 風。
敗則: 若 CSL 檔不見,自 CSL 庫下(見三步)置於項目。
第三步:取 CSL 風檔
# Common CSL styles and their repository names
csl_styles <- list(
apa = "apa.csl",
chicago = "chicago-author-date.csl",
vancouver = "vancouver.csl",
ieee = "ieee.csl",
nature = "nature.csl",
harvard = "harvard-cite-them-right.csl",
mla = "modern-language-association.csl"
)
download_csl <- function(style, dest_dir = ".") {
base_url <- "https://raw.githubusercontent.com/citation-style-language/styles/master"
filename <- csl_styles[[style]]
if (is.null(filename)) stop(sprintf("Unknown style: %s", style))
dest <- file.path(dest_dir, filename)
utils::download.file(
url = sprintf("%s/%s", base_url, filename),
destfile = dest, quiet = TRUE
)
message(sprintf("Downloaded %s to %s", filename, dest))
dest
}
# Download APA 7 style
download_csl("apa")
得: CSL 檔下至項目。
敗則: 察網。CSL GitHub 庫含萬餘風。離線用則將所需 CSL 捆於項目。
第四步:書文內引
於文體用 Pandoc 引語:
<!-- Single citation -->
According to @Smith2020, the method improves accuracy.
<!-- Parenthetical citation -->
The method improves accuracy [@Smith2020].
<!-- Multiple citations -->
Several studies confirm this [@Smith2020; @Jones2021; @Lee2022].
<!-- Citation with page number -->
As noted by @Smith2020 [p. 42], the results are significant.
<!-- Suppress author name -->
The results are significant [-@Smith2020].
<!-- Citation with prefix -->
[see @Smith2020, pp. 42-45; also @Jones2021, ch. 3]
得: Pandoc/Quarto 渲此為目風之正格引(如 APA 之 (Smith, 2020)、Chicago 之 (Smith 2020))。
第五步:以 R 生獨立參考列
# Using RefManageR to print formatted references
library(RefManageR)
BibOptions(style = "text", bib.style = "authoryear", sorting = "nyt")
bib <- ReadBib("references.bib", check = FALSE)
# Print all entries in text format
print(bib)
# Format specific entries
print(bib[author = "Smith"])
# Generate markdown reference list programmatically
format_reference_list <- function(bib, style = "apa") {
BibOptions(style = "text", bib.style = "authoryear")
entries <- capture.output(print(bib))
entries <- entries[nzchar(trimws(entries))]
paste(sprintf("- %s", entries), collapse = "\n")
}
cat(format_reference_list(bib))
得: 格之參考列印於控台或捕為字向供後處。
第六步:轉引風
# Render the same document in different styles
styles <- c("apa", "chicago", "ieee")
for (style in styles) {
csl_file <- download_csl(style)
output_file <- sprintf("output_%s.html", style)
rmarkdown::render(
input = "document.Rmd",
output_file = output_file,
params = list(csl = csl_file),
quiet = TRUE
)
message(sprintf("Rendered %s with %s style", output_file, style))
}
Quarto:
quarto render document.qmd --metadata csl:apa.csl -o output_apa.html
quarto render document.qmd --metadata csl:ieee.csl -o output_ieee.html
得: 多出檔,同容各以異引風格。
敗則: 若渲敗,察文體諸引鍵於 .bib 存。缺鍵生警然或破格。
第七步:驗引格
# Check for undefined citations in rendered output
validate_citations <- function(rmd_file, bib_file) {
# Extract citation keys from document
doc_text <- readLines(rmd_file, warn = FALSE)
doc_keys <- unique(unlist(regmatches(
doc_text,
gregexpr("@([A-Za-z][A-Za-z0-9_:.#$%&+-?<>~/]*)", doc_text)
)))
doc_keys <- gsub("^@", "", doc_keys)
# Remove false positives (email-like patterns)
doc_keys <- doc_keys[!grepl("\\.", doc_keys)]
# Extract keys from .bib file
bib <- RefManageR::ReadBib(bib_file, check = FALSE)
bib_keys <- names(bib)
# Find mismatches
undefined <- setdiff(doc_keys, bib_keys)
unused <- setdiff(bib_keys, doc_keys)
list(
undefined = undefined,
unused = unused,
cited = intersect(doc_keys, bib_keys)
)
}
result <- validate_citations("document.Rmd", "references.bib")
if (length(result$undefined) > 0) {
warning(sprintf("Undefined citation keys: %s",
paste(result$undefined, collapse = ", ")))
}
if (length(result$unused) > 0) {
message(sprintf("Unused .bib entries: %s",
paste(result$unused, collapse = ", ")))
}
得: 未定鍵(引而不於 .bib)、未用條(於 .bib 而未引)、與有效引之報。
敗則: 郵址或含 @ 之碼或致誤肯。精正則或手審所標鍵。
驗
- 文渲無 Pandoc/citeproc 引警
- 文中諸
@key皆解於 .bib - 參列於文末現(或
div#refs) - 文內引合目風格
- 引序循風則(APA 字序、IEEE 編序)
- 文內引至參列之超鏈行(若
link-citations: true)
陷
- 缺 CSL 檔:若無 CSL 指,Pandoc 退至 Chicago author-date。恆明設
csl:以一 - 引鍵拼誤:拼誤鍵如
@Smtih2020默渲為字。以--verbose啟 Pandoc 警以捕 - locale 格異:APA 英中作者間用「and」,德用「und」。於 YAML 頭設
lang:以合 - nocite 供未引條:欲參列含文中未引條,於 YAML 加
nocite: '@*'(諸)或nocite: '@key1, @key2' - CSL 版失配:老 CSL 0.8 檔或不兼現 Pandoc。恆用官庫之 CSL 1.0+
- Quarto 對 R Markdown 異:Quarto 默
cite-method: citeproc;R Markdown 或需明pandoc_args: ["--citeproc"]
參
manage-bibliography- 造並維此技所用之 .bib 檔validate-references- 格前驗 .bib 條全../reporting/format-apa-report- 引之外全 APA 報格../reporting/create-quarto-report- 附引援之 Quarto 文設
GitHub Repository
Related Skills
content-collections
MetaThis skill provides a production-tested setup for Content Collections, a TypeScript-first tool that transforms Markdown/MDX files into type-safe data collections with Zod validation. Use it when building blogs, documentation sites, or content-heavy Vite + React applications to ensure type safety and automatic content validation. It covers everything from Vite plugin configuration and MDX compilation to deployment optimization and schema validation.
polymarket
MetaThis skill enables developers to build applications with the Polymarket prediction markets platform, including API integration for trading and market data. It also provides real-time data streaming via WebSocket to monitor live trades and market activity. Use it for implementing trading strategies or creating tools that process live market updates.
creating-opencode-plugins
MetaThis skill helps developers create OpenCode plugins that hook into 25+ event types like commands, files, and LSP operations. It provides the plugin structure, event API specifications, and implementation patterns for JavaScript/TypeScript modules. Use it when you need to intercept, monitor, or extend the OpenCode AI assistant's lifecycle with custom event-driven logic.
sglang
MetaSGLang is a high-performance LLM serving framework that specializes in fast, structured generation for JSON, regex, and agentic workflows using its RadixAttention prefix caching. It delivers significantly faster inference, especially for tasks with repeated prefixes, making it ideal for complex, structured outputs and multi-turn conversations. Choose SGLang over alternatives like vLLM when you need constrained decoding or are building applications with extensive prefix sharing.
