diff --git a/CHANGELOG.md b/CHANGELOG.md
index ba0f002..656ffd1 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -7,6 +7,11 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ## [Unreleased](https://codeberg.org/daudix/duckquill/compare/v5.3.2...main)
 
+### Changed
+
+- Allow opening search by pressing the slash key.
+- Focus search after opening it.
+
 ## [5.3.2](https://codeberg.org/daudix/duckquill/compare/v5.3.1...v5.3.2)
 
 ### Fixed
diff --git a/templates/partials/search.html b/templates/partials/search.html
index 6f0a4a3..5e6fb5f 100644
--- a/templates/partials/search.html
+++ b/templates/partials/search.html
@@ -1,206 +1,214 @@
 {#- Based on https://github.com/getzola/zola/blob/1ac1231de1e342bbaf4d7a51a8a9a40ea152e246/docs/static/search.js -#}
 
 <script type="text/javascript">
-    function debounce(func, wait) {
-        var timeout;
+	function debounce(func, wait) {
+		var timeout;
 
-        return function () {
-            var context = this;
-            var args = arguments;
-            clearTimeout(timeout);
+		return function () {
+			var context = this;
+			var args = arguments;
+			clearTimeout(timeout);
 
-            timeout = setTimeout(function () {
-                timeout = null;
-                func.apply(context, args);
-            }, wait);
-        };
-    }
+			timeout = setTimeout(function () {
+				timeout = null;
+				func.apply(context, args);
+			}, wait);
+		};
+	}
 
-    // Taken from mdbook
-    // The strategy is as follows:
-    // First, assign a value to each word in the document:
-    //  Words that correspond to search terms (stemmer aware): 40
-    //  Normal words: 2
-    //  First word in a sentence: 8
-    // Then use a sliding window with a constant number of words and count the
-    // sum of the values of the words within the window. Then use the window that got the
-    // maximum sum. If there are multiple maximas, then get the last one.
-    // Enclose the terms in <b>.
-    function makeTeaser(body, terms) {
-        var TERM_WEIGHT = 40;
-        var NORMAL_WORD_WEIGHT = 2;
-        var FIRST_WORD_WEIGHT = 8;
-        var TEASER_MAX_WORDS = 30;
+	// Taken from mdbook
+	// The strategy is as follows:
+	// First, assign a value to each word in the document:
+	//  Words that correspond to search terms (stemmer aware): 40
+	//  Normal words: 2
+	//  First word in a sentence: 8
+	// Then use a sliding window with a constant number of words and count the
+	// sum of the values of the words within the window. Then use the window that got the
+	// maximum sum. If there are multiple maximas, then get the last one.
+	// Enclose the terms in <b>.
+	function makeTeaser(body, terms) {
+		var TERM_WEIGHT = 40;
+		var NORMAL_WORD_WEIGHT = 2;
+		var FIRST_WORD_WEIGHT = 8;
+		var TEASER_MAX_WORDS = 30;
 
-        var stemmedTerms = terms.map(function (w) {
-            return elasticlunr.stemmer(w.toLowerCase());
-        });
-        var termFound = false;
-        var index = 0;
-        var weighted = []; // contains elements of ["word", weight, index_in_document]
+		var stemmedTerms = terms.map(function (w) {
+			return elasticlunr.stemmer(w.toLowerCase());
+		});
+		var termFound = false;
+		var index = 0;
+		var weighted = []; // contains elements of ["word", weight, index_in_document]
 
-        // split in sentences, then words
-        var sentences = body.toLowerCase().split(". ");
+		// split in sentences, then words
+		var sentences = body.toLowerCase().split(". ");
 
-        for (var i in sentences) {
-            var words = sentences[i].split(" ");
-            var value = FIRST_WORD_WEIGHT;
+		for (var i in sentences) {
+			var words = sentences[i].split(" ");
+			var value = FIRST_WORD_WEIGHT;
 
-            for (var j in words) {
-                var word = words[j];
+			for (var j in words) {
+				var word = words[j];
 
-                if (word.length > 0) {
-                    for (var k in stemmedTerms) {
-                        if (elasticlunr.stemmer(word).startsWith(stemmedTerms[k])) {
-                            value = TERM_WEIGHT;
-                            termFound = true;
-                        }
-                    }
-                    weighted.push([word, value, index]);
-                    value = NORMAL_WORD_WEIGHT;
-                }
+				if (word.length > 0) {
+					for (var k in stemmedTerms) {
+						if (elasticlunr.stemmer(word).startsWith(stemmedTerms[k])) {
+							value = TERM_WEIGHT;
+							termFound = true;
+						}
+					}
+					weighted.push([word, value, index]);
+					value = NORMAL_WORD_WEIGHT;
+				}
 
-                index += word.length;
-                index += 1;  // ' ' or '.' if last word in sentence
-            }
+				index += word.length;
+				index += 1;  // ' ' or '.' if last word in sentence
+			}
 
-            index += 1;  // because we split at a two-char boundary '. '
-        }
+			index += 1;  // because we split at a two-char boundary '. '
+		}
 
-        if (weighted.length === 0) {
-            return body;
-        }
+		if (weighted.length === 0) {
+			return body;
+		}
 
-        var windowWeights = [];
-        var windowSize = Math.min(weighted.length, TEASER_MAX_WORDS);
-        // We add a window with all the weights first
-        var curSum = 0;
-        for (var i = 0; i < windowSize; i++) {
-            curSum += weighted[i][1];
-        }
-        windowWeights.push(curSum);
+		var windowWeights = [];
+		var windowSize = Math.min(weighted.length, TEASER_MAX_WORDS);
+		// We add a window with all the weights first
+		var curSum = 0;
+		for (var i = 0; i < windowSize; i++) {
+			curSum += weighted[i][1];
+		}
+		windowWeights.push(curSum);
 
-        for (var i = 0; i < weighted.length - windowSize; i++) {
-            curSum -= weighted[i][1];
-            curSum += weighted[i + windowSize][1];
-            windowWeights.push(curSum);
-        }
+		for (var i = 0; i < weighted.length - windowSize; i++) {
+			curSum -= weighted[i][1];
+			curSum += weighted[i + windowSize][1];
+			windowWeights.push(curSum);
+		}
 
-        // If we didn't find the term, just pick the first window
-        var maxSumIndex = 0;
-        if (termFound) {
-            var maxFound = 0;
-            // backwards
-            for (var i = windowWeights.length - 1; i >= 0; i--) {
-                if (windowWeights[i] > maxFound) {
-                    maxFound = windowWeights[i];
-                    maxSumIndex = i;
-                }
-            }
-        }
+		// If we didn't find the term, just pick the first window
+		var maxSumIndex = 0;
+		if (termFound) {
+			var maxFound = 0;
+			// backwards
+			for (var i = windowWeights.length - 1; i >= 0; i--) {
+				if (windowWeights[i] > maxFound) {
+					maxFound = windowWeights[i];
+					maxSumIndex = i;
+				}
+			}
+		}
 
-        var teaser = [];
-        var startIndex = weighted[maxSumIndex][2];
-        for (var i = maxSumIndex; i < maxSumIndex + windowSize; i++) {
-            var word = weighted[i];
-            if (startIndex < word[2]) {
-                // missing text from index to start of `word`
-                teaser.push(body.substring(startIndex, word[2]));
-                startIndex = word[2];
-            }
+		var teaser = [];
+		var startIndex = weighted[maxSumIndex][2];
+		for (var i = maxSumIndex; i < maxSumIndex + windowSize; i++) {
+			var word = weighted[i];
+			if (startIndex < word[2]) {
+				// missing text from index to start of `word`
+				teaser.push(body.substring(startIndex, word[2]));
+				startIndex = word[2];
+			}
 
-            // add <strong> around search terms
-            if (word[1] === TERM_WEIGHT) {
-                teaser.push("<strong>");
-            }
-            startIndex = word[2] + word[0].length;
-            teaser.push(body.substring(word[2], startIndex));
+			// add <strong> around search terms
+			if (word[1] === TERM_WEIGHT) {
+				teaser.push("<strong>");
+			}
+			startIndex = word[2] + word[0].length;
+			teaser.push(body.substring(word[2], startIndex));
 
-            if (word[1] === TERM_WEIGHT) {
-                teaser.push("</strong>");
-            }
-        }
-        teaser.push("…");
-        return teaser.join("");
-    }
+			if (word[1] === TERM_WEIGHT) {
+				teaser.push("</strong>");
+			}
+		}
+		teaser.push("…");
+		return teaser.join("");
+	}
 
-    function formatSearchResultItem(item, terms) {
-        return '<div class="item">'
-            + `<a href="${item.ref}">${item.doc.title}</a>`
-            + `<span>${makeTeaser(item.doc.body, terms)}</span>`
-            + '</div>';
-    }
+	function formatSearchResultItem(item, terms) {
+		return '<div class="item">'
+			+ `<a href="${item.ref}">${item.doc.title}</a>`
+			+ `<span>${makeTeaser(item.doc.body, terms)}</span>`
+			+ '</div>';
+	}
 
-    function initSearch() {
-        var $searchInput = document.getElementById("search-bar");
-        var $searchResults = document.getElementById("search-results");
-        var MAX_ITEMS = 10;
+	function initSearch() {
+		var $searchInput = document.getElementById("search-bar");
+		var $searchResults = document.getElementById("search-results");
+		var MAX_ITEMS = 10;
 
-        var options = {
-            bool: "AND",
-            fields: {
-                title: { boost: 2 },
-                body: { boost: 1 },
-            }
-        };
-        var currentTerm = "";
-        var index;
+		var options = {
+			bool: "AND",
+			fields: {
+				title: { boost: 2 },
+				body: { boost: 1 },
+			}
+		};
+		var currentTerm = "";
+		var index;
 
-        var initIndex = async function () {
-            if (index === undefined) {
-                index = fetch("{{ get_url(path='/', lang=lang) }}/search_index.{{ config.default_language }}.json")
-                    .then(
-                        async function (response) {
-                            return await elasticlunr.Index.load(await response.json());
-                        }
-                    );
-            }
-            let res = await index;
-            return res;
-        }
+		var initIndex = async function () {
+			if (index === undefined) {
+				index = fetch("{{ get_url(path='/', lang=lang) }}/search_index.{{ config.default_language }}.json")
+					.then(
+						async function (response) {
+							return await elasticlunr.Index.load(await response.json());
+						}
+					);
+			}
+			let res = await index;
+			return res;
+		}
 
-        $searchInput.addEventListener("keyup", debounce(async function () {
-            var term = $searchInput.value.trim();
-            if (term === currentTerm) {
-                return;
-            }
-            $searchResults.style.display = term === "" ? "none" : "flex";
-            $searchResults.innerHTML = "";
-            currentTerm = term;
-            if (term === "") {
-                return;
-            }
+		$searchInput.addEventListener("keyup", debounce(async function () {
+			var term = $searchInput.value.trim();
+			if (term === currentTerm) {
+				return;
+			}
+			$searchResults.style.display = term === "" ? "none" : "flex";
+			$searchResults.innerHTML = "";
+			currentTerm = term;
+			if (term === "") {
+				return;
+			}
 
-            var results = (await initIndex()).search(term, options);
-            if (results.length === 0) {
-                $searchResults.style.display = "none";
-                return;
-            }
+			var results = (await initIndex()).search(term, options);
+			if (results.length === 0) {
+				$searchResults.style.display = "none";
+				return;
+			}
 
-            for (var i = 0; i < Math.min(results.length, MAX_ITEMS); i++) {
-                $searchResults.innerHTML += formatSearchResultItem(results[i], term.split(" "));
-            }
-        }, 150));
+			for (var i = 0; i < Math.min(results.length, MAX_ITEMS); i++) {
+				$searchResults.innerHTML += formatSearchResultItem(results[i], term.split(" "));
+			}
+		}, 150));
 
-        window.addEventListener('click', function (e) {
-            if ($searchResults.style.display == "flex" && !$searchResults.contains(e.target)) {
-                $searchResults.style.display = "none";
-            }
-        });
-    }
+		window.addEventListener('click', function (e) {
+			if ($searchResults.style.display == "flex" && !$searchResults.contains(e.target)) {
+				$searchResults.style.display = "none";
+			}
+		});
+	}
 
-    function toggleSearch() {
-        var searchContainer = document.getElementById("search-container");
-        var searchBar = document.getElementById("search-bar");
-        searchContainer.classList.toggle("active");
-        searchBar.toggleAttribute("disabled");
-    }
+	function toggleSearch() {
+		var searchContainer = document.getElementById("search-container");
+		var searchBar = document.getElementById("search-bar");
+		searchContainer.classList.toggle("active");
+		searchBar.toggleAttribute("disabled");
+		searchBar.focus();
+	}
 
-    if (document.readyState === "complete" ||
-        (document.readyState !== "loading" && !document.documentElement.doScroll)
-    ) {
-        initSearch();
-    } else {
-        document.addEventListener("DOMContentLoaded", initSearch);
-    }
+	document.addEventListener("keydown", function(event) {
+		if (event.key === "/") {
+			event.preventDefault();
+			toggleSearch();
+		}
+	});
+
+	if (document.readyState === "complete" ||
+		(document.readyState !== "loading" && !document.documentElement.doScroll)
+	) {
+		initSearch();
+	} else {
+		document.addEventListener("DOMContentLoaded", initSearch);
+	}
 </script>