feat: lockfile to prevent parallel runs + AI keywords lib

lib/keywords.mjs

@@ -0,0 +1,61 @@
+/**
+ * keywords.mjs — AI-generated search keywords
+ * One Claude call per search track using full profile + search config context
+ */
+
+export async function generateKeywords(search, profile, apiKey) {
+  if (!apiKey) throw new Error('ANTHROPIC_API_KEY not set');
+
+  const prompt = `You are an expert job search strategist helping a candidate find the right roles on LinkedIn and Wellfound.
+
+## Candidate Profile
+- Name: ${profile.name.first} ${profile.name.last}
+- Location: ${profile.location.city}, ${profile.location.state} (remote only)
+- Years experience: ${profile.years_experience}
+- Desired salary: $${profile.desired_salary.toLocaleString()}
+- Work authorization: Authorized to work in US + UK, no sponsorship needed
+- Willing to relocate: ${profile.willing_to_relocate ? 'Yes' : 'No'}
+- Background summary: ${profile.cover_letter?.substring(0, 400)}
+
+## Job Search Track: "${search.name}"
+- Salary minimum: $${(search.salary_min || 0).toLocaleString()}
+- Platforms: ${(search.platforms || []).join(', ')}
+- Remote only: ${search.filters?.remote ? 'Yes' : 'No'}
+- Exclude these keywords: ${(search.exclude_keywords || []).join(', ')}
+- Current keywords already in use: ${(search.keywords || []).join(', ')}
+
+## Task
+Generate 15 additional LinkedIn/Wellfound job search query strings to find "${search.name}" roles for this candidate.
+
+Think about:
+- How do startups and hiring managers actually title these roles at seed/Series A/B companies?
+- What variations exist across industries (fintech, devtools, data infra, security, AI/ML)?
+- What seniority + function combinations surface the best matches?
+- What terms does this specific candidate's background match well?
+- Do NOT repeat keywords already listed above
+- Do NOT use excluded keywords
+
+Return ONLY a JSON array of strings, no explanation, no markdown.
+Example format: ["query one", "query two", "query three"]`;
+
+  const res = await fetch('https://api.anthropic.com/v1/messages', {
+    method: 'POST',
+    headers: {
+      'Content-Type': 'application/json',
+      'x-api-key': apiKey,
+      'anthropic-version': '2023-06-01'
+    },
+    body: JSON.stringify({
+      model: 'claude-3-haiku-20240307',
+      max_tokens: 1024,
+      messages: [{ role: 'user', content: prompt }]
+    })
+  });
+
+  const data = await res.json();
+  if (data.error) throw new Error(data.error.message);
+
+  const text = data.content[0].text.trim();
+  const clean = text.replace(/```json\n?|\n?```/g, '').trim();
+  return JSON.parse(clean);
+}