Add content-level language filter, recheck command, expanded keywords

- isEnglishContent() fetches each job page and drops descriptions with ≥6 German or French indicator words; called for every new job in index.ts before writing to CSV
- New `bun recheck` command (recheck.ts) runs searches in raw mode, lists filtered-out jobs, and prints word-frequency suggestions for SOFTWARE_TITLE_RE
- Expanded KEYWORDS and SOFTWARE_TITLE_RE to cover ML/AI, system/applications engineer, director, informatics, and more title variants
- Added `raw` flag to fetchJobs() to bypass the software-role filter
- Add CLAUDE.md with project workflow docs; add CV files and city temp scripts

recheck.ts

@@ -0,0 +1,65 @@
+#!/usr/bin/env bun
+import { searches } from "./config.ts";
+import { fetchJobs, SOFTWARE_TITLE_RE } from "./fetch.ts";
+
+const CSV = "./jobs.csv";
+
+const existingIds = new Set<string>();
+try {
+  const text = await Bun.file(CSV).text();
+  for (const line of text.split("\n").slice(1)) {
+    const id = line.match(/\/jobs\/view\/(\d+)\//)?.[1];
+    if (id) existingIds.add(id);
+  }
+} catch { /* first run */ }
+
+const missed: { title: string; company: string; link: string }[] = [];
+const seenIds = new Set<string>();
+
+for (const config of searches) {
+  console.log(`\n[${config.label}]`);
+  const all = await fetchJobs(config, { raw: true });
+  for (const job of all) {
+    if (!seenIds.has(job.id) && !existingIds.has(job.id) && !SOFTWARE_TITLE_RE.test(job.title)) {
+      seenIds.add(job.id);
+      missed.push({ title: job.title, company: job.company, link: job.link });
+    }
+  }
+}
+
+if (missed.length === 0) {
+  console.log("\nNo missed jobs — all new titles pass the filter.");
+  process.exit(0);
+}
+
+console.log(`\n── ${missed.length} new jobs currently filtered out ──\n`);
+for (const j of missed) {
+  console.log(`  ${j.title}`);
+  console.log(`    ${j.company}  ${j.link}`);
+}
+
+// Word frequency analysis to suggest keywords
+const STOP = new Set([
+  "and", "or", "of", "the", "a", "an", "in", "for", "to", "at", "by",
+  "with", "on", "as", "is", "its", "be", "are", "was", "were", "our",
+  "your", "this", "that", "we", "you", "all", "new", "use",
+]);
+
+const wordCounts = new Map<string, number>();
+for (const { title } of missed) {
+  const words = title.match(/\b[a-zA-Z]{3,}\b/g) ?? [];
+  for (const w of words) {
+    const key = w.toLowerCase();
+    if (!STOP.has(key)) wordCounts.set(key, (wordCounts.get(key) ?? 0) + 1);
+  }
+}
+
+const suggestions = [...wordCounts.entries()]
+  .sort((a, b) => b[1] - a[1])
+  .filter(([, n]) => n >= 1)
+  .slice(0, 20);
+
+console.log("\n── Suggested keywords to consider ──\n");
+for (const [word, count] of suggestions) {
+  console.log(`  "${word}"  — ${count} title${count > 1 ? "s" : ""}`);
+}