format-citations
À propos
Cette compétence formate les citations académiques pour plusieurs styles (APA, Chicago, etc.) et génère des bibliographies en utilisant des processeurs CSL et des outils R comme citeproc et Quarto. Elle est utilisée lors du rendu de documents Quarto/R Markdown, pour convertir des bibliographies entre différents styles, ou pour mettre en place l'infrastructure de citations d'un projet. Les développeurs doivent l'utiliser pour automatiser et valider le formatage des citations par rapport aux guides de style officiels.
Installation rapide
Claude Code
Recommandénpx 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-citationsCopiez et collez cette commande dans Claude Code pour installer cette compétence
Documentation
Format Citations
Format citations across academic styles using CSL (Citation Style Language) processors and R tooling. This skill covers converting BibTeX entries into properly formatted in-text citations and reference lists for APA 7, Chicago, Vancouver, IEEE, and custom styles. It leverages Pandoc's citeproc, the knitcitations package, and Quarto's native citation engine for reproducible document production.
When to Use
- Rendering an R Markdown or Quarto document with formatted citations
- Converting a bibliography from one citation style to another
- Generating a standalone reference list from a .bib file
- Validating that in-text citations match a specific style guide
- Setting up citation infrastructure for a multi-document project (book, thesis)
Inputs
- Required: A .bib file (or other bibliography source recognized by Pandoc)
- Required: Target citation style (e.g.,
apa,chicago-author-date,ieee) - Optional: CSL file path (default: uses Pandoc built-in styles)
- Optional: Output format (
html,pdf,docx; default: inferred from document) - Optional: Locale for language-specific formatting (default:
en-US)
Procedure
Step 1: Verify Citation Infrastructure
# 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")))
Got: Pandoc version 2.11+ detected with built-in citeproc support.
If fail: Install Pandoc or set RSTUDIO_PANDOC in .Renviron to point to
the RStudio-bundled Pandoc. Quarto also ships its own Pandoc.
Step 2: Configure Document YAML for Citations
For R Markdown:
---
title: "My Document"
bibliography: references.bib
csl: apa.csl
link-citations: true
output:
html_document:
pandoc_args: ["--citeproc"]
---
For Quarto:
---
title: "My Document"
bibliography: references.bib
csl: apa.csl
link-citations: true
cite-method: citeproc
---
Got: YAML header correctly references the .bib file and CSL style.
If fail: If the CSL file is not found, download it from the CSL repository (see Step 3) and place it in the project directory.
Step 3: Obtain CSL Style Files
# 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")
Got: CSL file downloaded to the project directory.
If fail: Check network connectivity. The CSL GitHub repository contains 10,000+ styles. For offline use, bundle required CSL files in the project.
Step 4: Write In-Text Citations
Use Pandoc citation syntax in your document body:
<!-- 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]
Got: Pandoc/Quarto renders these into properly formatted citations in the
target style (e.g., (Smith, 2020) for APA, (Smith 2020) for Chicago).
Step 5: Generate Standalone Reference Lists with R
# 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))
Got: Formatted reference list printed to console or captured as character vector for further processing.
Step 6: Convert Between Citation Styles
# 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))
}
For 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
Got: Multiple output files, each with the same content formatted in a different citation style.
If fail: If rendering fails, check that all citation keys in the document body exist in the .bib file. Missing keys produce warnings but may break formatting.
Step 7: Validate Citation Formatting
# 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 = ", ")))
}
Got: Report of undefined keys (cited but not in .bib), unused entries (in .bib but never cited), and valid citations.
If fail: False positives may occur with email addresses or code containing @.
Refine the regex or manually review flagged keys.
Validation
- Document renders without citation warnings from Pandoc/citeproc
- All
@keyreferences in the document resolve to .bib entries - Reference list appears at the end of the document (or in
div#refs) - In-text citations match the target style format
- Citation sorting follows style rules (alphabetical for APA, numbered for IEEE)
- Hyperlinks from in-text citations to reference list entries work (if
link-citations: true)
Pitfalls
- Missing CSL file: Pandoc falls back to Chicago author-date if no CSL is
specified. Always set
csl:explicitly for style consistency - Citation key typos: A misspelled key like
@Smtih2020silently renders as literal text. Enable Pandoc warnings with--verboseto catch these - Locale-dependent formatting: APA requires "and" between authors in English
but "und" in German. Set
lang:in the YAML header to match - nocite for uncited entries: To include entries in the reference list without
citing them in text, add
nocite: '@*'(all) ornocite: '@key1, @key2'to YAML - CSL version mismatch: Some older CSL 0.8 files are incompatible with modern Pandoc. Always use CSL 1.0+ from the official repository
- Quarto vs R Markdown differences: Quarto uses
cite-method: citeprocby default; R Markdown may need explicitpandoc_args: ["--citeproc"]
Related Skills
manage-bibliography- create and maintain the .bib files this skill consumesvalidate-references- verify .bib entry completeness before formatting../reporting/format-apa-report- full APA report formatting beyond citations../reporting/create-quarto-report- Quarto document setup with citation support
Dépôt GitHub
Compétences associées
content-collections
MétaCette compétence propose une configuration éprouvée en production pour Content Collections, un outil axé sur TypeScript qui transforme des fichiers Markdown/MDX en collections de données typées de manière sûre avec une validation Zod. Utilisez-la lors de la création de blogs, de sites de documentation ou d'applications Vite + React riches en contenu pour garantir la sécurité de typage et la validation automatique du contenu. Elle couvre tout, de la configuration du plugin Vite et de la compilation MDX à l'optimisation des déploiements et la validation des schémas.
polymarket
MétaCette compétence permet aux développeurs de créer des applications avec la plateforme de marchés prédictifs Polymarket, incluant l'intégration d'API pour le trading et les données de marché. Elle fournit également une diffusion de données en temps réel via WebSocket pour surveiller les transactions en direct et l'activité du marché. Utilisez-la pour mettre en œuvre des stratégies de trading ou pour créer des outils traitant les mises à jour de marché en direct.
creating-opencode-plugins
MétaCette compétence aide les développeurs à créer des plugins OpenCode qui s'interconnectent avec plus de 25 types d'événements tels que les commandes, les fichiers et les opérations LSP. Elle fournit la structure du plugin, les spécifications de l'API événementielle et les modèles d'implémentation pour les modules JavaScript/TypeScript. Utilisez-la lorsque vous avez besoin d'intercepter, de surveiller ou d'étendre le cycle de vie de l'assistant IA OpenCode avec une logique personnalisée pilotée par les événements.
sglang
MétaSGLang est un framework de service LLM haute performance spécialisé dans la génération rapide et structurée pour les workflows JSON, regex et agentiques grâce à son cache de préfixe RadixAttention. Il offre une inférence nettement plus rapide, particulièrement pour les tâches avec des préfixes répétés, ce qui le rend idéal pour les sorties complexes et structurées ainsi que les conversations multi-tours. Choisissez SGLang plutôt que des alternatives comme vLLM lorsque vous avez besoin d'un décodage contraint ou que vous construisez des applications avec un partage étendu de préfixes.
