feat(ultraplan-local): v1.6.0 — /ultraresearch-local deep research command

Add /ultraresearch-local for structured research combining local codebase
analysis with external knowledge via parallel agent swarms. Produces research
briefs with triangulation, confidence ratings, and source quality assessment.

New command: /ultraresearch-local with modes --quick, --local, --external, --fg.
New agents: research-orchestrator (opus), docs-researcher, community-researcher,
security-researcher, contrarian-researcher, gemini-bridge (all sonnet).
New template: research-brief-template.md.

Integration: --research flag in /ultraplan-local accepts pre-built research
briefs (up to 3), enriches the interview and exploration phases. Planning
orchestrator cross-references brief findings during synthesis.

Design principle: Context Engineering — right information to right agent at
right time. Research briefs are structured artifacts in the pipeline:
ultraresearch → brief → ultraplan --research → plan → ultraexecute.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

hooks/scripts/personalization-score.mjs

@@ -0,0 +1,120 @@
+#!/usr/bin/env node
+// Personalization score calculator for linkedin-thought-leadership plugin
+// Checks 8 asset categories for real user data vs placeholder templates
+// Standalone: outputs SCORE:N|M/8 assets personalized
+// Import: export function calculateScore(pluginRoot) => { score, personalized, categories }
+
+import { readFileSync, existsSync, readdirSync } from 'node:fs';
+import { join, basename, dirname } from 'node:path';
+import { fileURLToPath } from 'node:url';
+
+const __dirname = dirname(fileURLToPath(import.meta.url));
+
+export function calculateScore(pluginRoot) {
+  let score = 0;
+  let personalized = 0;
+  const categories = 8;
+
+  // --- 1. Voice samples (25 points) ---
+  const voiceFile = join(pluginRoot, 'assets', 'voice-samples', 'authentic-voice-samples.md');
+  if (existsSync(voiceFile)) {
+    const content = readFileSync(voiceFile, 'utf-8');
+    const lineCount = content.split('\n').length;
+    if (lineCount > 50 && !content.includes('[Your Name]')) {
+      score += 25;
+      personalized += 1;
+    }
+  }
+
+  // --- 2. User profile (20 points) ---
+  const profileFile = join(pluginRoot, 'config', 'user-profile.local.md');
+  if (existsSync(profileFile)) {
+    const content = readFileSync(profileFile, 'utf-8');
+    const placeholderCount = (content.match(/\[Your /g) || []).length;
+    if (placeholderCount < 3) {
+      score += 20;
+      personalized += 1;
+    }
+  }
+
+  // --- 3. Case studies (15 points) ---
+  const caseDir = join(pluginRoot, 'assets', 'case-studies');
+  if (existsSync(caseDir)) {
+    let realCases = 0;
+    try {
+      for (const f of readdirSync(caseDir)) {
+        if (!f.endsWith('.md')) continue;
+        if (f === 'case-study-template.md') continue;
+        realCases++;
+      }
+    } catch { /* ignore */ }
+    if (realCases >= 2) { score += 15; personalized += 1; }
+    else if (realCases >= 1) { score += 8; }
+  }
+
+  // --- 4. Frameworks (10 points) ---
+  const fwDir = join(pluginRoot, 'assets', 'frameworks');
+  if (existsSync(fwDir)) {
+    let realFw = 0;
+    try {
+      for (const f of readdirSync(fwDir)) {
+        if (!f.endsWith('.md')) continue;
+        if (f === 'framework-template.md') continue;
+        realFw++;
+      }
+    } catch { /* ignore */ }
+    if (realFw >= 2) { score += 10; personalized += 1; }
+    else if (realFw >= 1) { score += 5; }
+  }
+
+  // --- 5. High-engagement posts (10 points) ---
+  const postsFile = join(pluginRoot, 'assets', 'examples', 'high-engagement-posts.md');
+  if (existsSync(postsFile)) {
+    const content = readFileSync(postsFile, 'utf-8');
+    const postCount = (content.match(/^## Post [0-9]/gm) || []).length;
+    if (postCount >= 3) { score += 10; personalized += 1; }
+    else if (postCount >= 1) { score += 4; }
+  }
+
+  // --- 6. Demographics (8 points) ---
+  const demoFile = join(pluginRoot, 'assets', 'audience-insights', 'demographics.md');
+  if (existsSync(demoFile)) {
+    const content = readFileSync(demoFile, 'utf-8');
+    const placeholderCount = (content.match(/\[Industry name\]|\[Function\]|\[Country\]|\[X\]%/g) || []).length;
+    if (placeholderCount < 5) {
+      score += 8;
+      personalized += 1;
+    }
+  }
+
+  // --- 7. Engagement patterns (7 points) ---
+  const patternsFile = join(pluginRoot, 'assets', 'audience-insights', 'engagement-patterns.md');
+  if (existsSync(patternsFile)) {
+    const content = readFileSync(patternsFile, 'utf-8');
+    const placeholderCount = (content.match(/\[Day\]|\[Time\]|\[Topic\]|\[Format\]|\[Hook type\]/g) || []).length;
+    if (placeholderCount < 5) {
+      score += 7;
+      personalized += 1;
+    }
+  }
+
+  // --- 8. Post templates (5 points) ---
+  const templatesFile = join(pluginRoot, 'assets', 'templates', 'my-post-templates.md');
+  if (existsSync(templatesFile)) {
+    const content = readFileSync(templatesFile, 'utf-8');
+    const unfilled = (content.match(/\[Name - e\.g\./g) || []).length;
+    const totalTemplates = (content.match(/^## Template [0-9]/gm) || []).length;
+    const filled = totalTemplates - unfilled;
+    if (filled >= 2) { score += 5; personalized += 1; }
+    else if (filled >= 1) { score += 2; }
+  }
+
+  return { score, personalized, categories };
+}
+
+// Standalone execution (guarded to prevent stdout contamination on import)
+if (process.argv[1] === fileURLToPath(import.meta.url)) {
+  const pluginRoot = join(__dirname, '..', '..');
+  const { score, personalized, categories } = calculateScore(pluginRoot);
+  process.stdout.write(`SCORE:${score}|${personalized}/${categories} assets personalized\n`);
+}