feat(linkedin-thought-leadership): v1.1.0 — Q2 2026 feature release

9 improvements across 3 tracks:

Onboarding: /linkedin:onboarding wizard, README Quick Start rewrite
Content Quality: voice drift scoring, industry angle variants,
  /linkedin:carousel, /linkedin:react multi-URL comparison
Analytics: automated week-rollover, day-of-week heatmap,
  month-over-month reports

25→27 commands. All Q2 ROADMAP items completed.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
Kjell Tore Guttormsen 2026-04-08 06:16:35 +02:00
commit 1a8cc1942c
33 changed files with 1726 additions and 236 deletions

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@ -8,6 +8,8 @@ import {
import { detectAlerts } from "./utils/alerts.js";
import { mean, standardDeviation } from "./utils/stats.js";
import { generateWeeklyReport, getCurrentISOWeek } from "./reports/weekly.js";
import { generateHeatmap } from "./reports/heatmap.js";
import { generateMonthlyReport } from "./reports/monthly.js";
import { join } from "node:path";
import { existsSync } from "node:fs";
import type { PostMetrics } from "./models/types.js";
@ -27,7 +29,9 @@ LinkedIn Analytics CLI
Usage:
node build/cli.js import <filename> Import a CSV export
node build/cli.js report [--week W] Generate weekly report
node build/cli.js report --month YYYY-MM Generate monthly report with MoM comparison
node build/cli.js trends [--period P] [--metric M] Show trends and alerts
node build/cli.js heatmap Day-of-week performance matrix
Options:
--week W ISO week (e.g., 2026-W05), defaults to current week
@ -95,6 +99,11 @@ async function handleImport(root: string, args: string[]) {
}
async function handleReport(root: string, args: string[]) {
const monthOption = parseOption(args, "--month");
if (monthOption) {
return handleMonthlyReport(root, monthOption);
}
const weekOption = parseOption(args, "--week");
const week = weekOption || getCurrentISOWeek();
@ -285,6 +294,130 @@ async function handleTrends(root: string, args: string[]) {
}
}
async function handleMonthlyReport(root: string, month: string) {
console.log(`Generating monthly report for ${month}...`);
try {
const report = generateMonthlyReport(root, month);
console.log("\nMonthly Report");
console.log("═════════════════════════════════════");
console.log(`Month: ${report.month}`);
console.log(`Generated at: ${new Date(report.generatedAt).toLocaleString()}`);
console.log();
console.log("Summary");
console.log("─────────────────────────────────────");
const s = report.summary;
const fmtDelta = (val: number | null, suffix = "%") =>
val !== null ? ` (${val > 0 ? "+" : ""}${val}${suffix})` : "";
console.log(`Posts: ${s.totalPosts}${fmtDelta(report.trends.percentChange.postCount)}`);
console.log(`Impressions: ${s.totalImpressions.toLocaleString()}${fmtDelta(report.trends.percentChange.impressions)}`);
console.log(`Avg per post: ${s.avgImpressionsPerPost.toLocaleString()}`);
console.log(`Avg engagement: ${s.avgEngagementRate.toFixed(2)}%${fmtDelta(report.trends.percentChange.engagement)}`);
console.log(`Reactions: ${s.totalReactions.toLocaleString()}`);
console.log(`Comments: ${s.totalComments.toLocaleString()}`);
console.log(`Shares: ${s.totalShares.toLocaleString()}`);
console.log(`Clicks: ${s.totalClicks.toLocaleString()}`);
console.log();
if (report.byWeek.length > 0) {
console.log("Week Breakdown");
console.log("─────────────────────────────────────");
for (const w of report.byWeek) {
console.log(`${w.week}: ${w.postCount} posts | ${w.avgImpressions.toLocaleString()} avg impr | ${w.avgEngagementRate.toFixed(1)}% eng`);
}
console.log();
}
if (report.topPerformers.length > 0) {
console.log("Top Performers");
console.log("─────────────────────────────────────");
for (const post of report.topPerformers.slice(0, 5)) {
const title = post.title.length > 50 ? post.title.substring(0, 47) + "..." : post.title;
console.log(`${title}`);
console.log(` ${post.metrics.impressions.toLocaleString()} impressions | ${post.metrics.engagementRate.toFixed(2)}% eng | ${post.publishedDate}`);
}
console.log();
}
if (report.trends.comparedTo) {
console.log(`Compared to: ${report.trends.comparedTo}`);
} else {
console.log("No previous month data for comparison.");
}
console.log();
if (report.alerts.length > 0) {
console.log("Alerts");
console.log("─────────────────────────────────────");
for (const alert of report.alerts) {
const icon = alert.severity === "critical" ? "🔴" : alert.severity === "warning" ? "⚠️" : "";
console.log(`${icon} [${alert.severity.toUpperCase()}] ${alert.message}`);
}
console.log();
}
console.log(`Report saved to: monthly-reports/${month}.json`);
} catch (err) {
console.error(`Error generating monthly report: ${err instanceof Error ? err.message : String(err)}`);
process.exit(1);
}
}
async function handleHeatmap(root: string) {
console.log("Generating day-of-week heatmap...");
try {
const allPosts = loadAllPosts(root);
if (allPosts.length === 0) {
console.error("Error: No posts found. Import some data first.");
process.exit(1);
}
const report = generateHeatmap(allPosts);
console.log("\nDay-of-Week Performance Heatmap");
console.log("═════════════════════════════════════");
console.log(`Posts analyzed: ${report.postsAnalyzed}`);
console.log(`Date range: ${report.dateRange.from} to ${report.dateRange.to}`);
console.log();
// Print table header
const days = report.byDayOfWeek.map(d => d.dayName.slice(0, 3).padStart(7));
console.log(` ${days.join("")}`);
console.log(` ${"───────".repeat(7)}`);
// Posts row
const postCounts = report.byDayOfWeek.map(d => String(d.postCount).padStart(7));
console.log(`Posts: ${postCounts.join("")}`);
// Impressions row
const impressions = report.byDayOfWeek.map(d =>
d.postCount > 0 ? d.avgImpressions.toLocaleString().padStart(7) : " -"
);
console.log(`Impr: ${impressions.join("")}`);
// Engagement rate row
const engRates = report.byDayOfWeek.map(d =>
d.postCount > 0 ? `${d.avgEngagementRate.toFixed(1)}%`.padStart(7) : " -"
);
console.log(`Eng: ${engRates.join("")}`);
console.log();
console.log(`Best day for impressions: ${report.bestDayImpressions}`);
console.log(`Best day for engagement: ${report.bestDayEngagement}`);
console.log("\nNote: LinkedIn CSV exports do not include publish time.");
console.log("This heatmap shows day-of-week only.");
} catch (err) {
console.error(`Error generating heatmap: ${err instanceof Error ? err.message : String(err)}`);
process.exit(1);
}
}
async function main() {
const root = getAnalyticsRoot();
ensureDirectories(root);
@ -299,6 +432,9 @@ async function main() {
case "trends":
await handleTrends(root, args);
break;
case "heatmap":
await handleHeatmap(root);
break;
default:
printUsage();
process.exit(command ? 1 : 0);

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@ -65,6 +65,55 @@ export interface Alert {
deviations: number;
}
export interface DayOfWeekMetrics {
dayName: string; // "Monday" through "Sunday"
dayIndex: number; // 1=Monday, 7=Sunday (ISO weekday)
postCount: number;
avgImpressions: number;
avgEngagementRate: number;
bestPost?: PostAnalytics;
}
export interface HeatmapReport {
generatedAt: string;
postsAnalyzed: number;
dateRange: { from: string; to: string };
byDayOfWeek: DayOfWeekMetrics[]; // 7 entries, Mon-Sun ordered
bestDayImpressions: string;
bestDayEngagement: string;
}
export interface MonthlyReport {
month: string; // "YYYY-MM"
generatedAt: string;
summary: {
totalPosts: number;
totalImpressions: number;
totalReactions: number;
totalComments: number;
totalShares: number;
totalClicks: number;
avgEngagementRate: number;
avgImpressionsPerPost: number;
};
topPerformers: PostAnalytics[];
byWeek: {
week: string;
postCount: number;
avgImpressions: number;
avgEngagementRate: number;
}[];
trends: {
comparedTo: string | null;
percentChange: {
impressions: number | null;
engagement: number | null;
postCount: number | null;
};
};
alerts: Alert[];
}
export const ALERT_THRESHOLDS = {
spike: 2.0,
drop: -1.5,

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@ -0,0 +1,85 @@
import type { PostAnalytics, DayOfWeekMetrics, HeatmapReport } from "../models/types.js";
const DAY_NAMES = ["Sunday", "Monday", "Tuesday", "Wednesday", "Thursday", "Friday", "Saturday"];
// Convert JS getDay() (0=Sun) to ISO weekday (1=Mon, 7=Sun)
function toISOWeekday(jsDay: number): number {
return jsDay === 0 ? 7 : jsDay;
}
/**
* Generate a day-of-week performance heatmap from post analytics data.
* Groups posts by day of week and calculates average metrics per day.
*/
export function generateHeatmap(posts: PostAnalytics[]): HeatmapReport {
// Initialize buckets for all 7 days (ISO: 1=Mon to 7=Sun)
const buckets: Map<number, PostAnalytics[]> = new Map();
for (let i = 1; i <= 7; i++) {
buckets.set(i, []);
}
// Group posts by ISO weekday
for (const post of posts) {
const jsDay = new Date(post.publishedDate).getUTCDay();
const isoDay = toISOWeekday(jsDay);
buckets.get(isoDay)!.push(post);
}
// Build metrics per day
const byDayOfWeek: DayOfWeekMetrics[] = [];
for (let isoDay = 1; isoDay <= 7; isoDay++) {
const dayPosts = buckets.get(isoDay)!;
const jsDay = isoDay === 7 ? 0 : isoDay;
const dayName = DAY_NAMES[jsDay];
if (dayPosts.length === 0) {
byDayOfWeek.push({
dayName,
dayIndex: isoDay,
postCount: 0,
avgImpressions: 0,
avgEngagementRate: 0,
});
continue;
}
const totalImpressions = dayPosts.reduce((sum, p) => sum + p.metrics.impressions, 0);
const totalEngagement = dayPosts.reduce((sum, p) => sum + p.metrics.engagementRate, 0);
const bestPost = dayPosts.reduce((best, p) =>
p.metrics.impressions > best.metrics.impressions ? p : best
);
byDayOfWeek.push({
dayName,
dayIndex: isoDay,
postCount: dayPosts.length,
avgImpressions: Math.round(totalImpressions / dayPosts.length),
avgEngagementRate: parseFloat((totalEngagement / dayPosts.length).toFixed(1)),
bestPost,
});
}
// Find best days
const daysWithPosts = byDayOfWeek.filter(d => d.postCount > 0);
const bestDayImpressions = daysWithPosts.length > 0
? daysWithPosts.reduce((best, d) => d.avgImpressions > best.avgImpressions ? d : best).dayName
: "N/A";
const bestDayEngagement = daysWithPosts.length > 0
? daysWithPosts.reduce((best, d) => d.avgEngagementRate > best.avgEngagementRate ? d : best).dayName
: "N/A";
// Date range
const sortedDates = posts.map(p => p.publishedDate).sort();
const dateRange = posts.length > 0
? { from: sortedDates[0], to: sortedDates[sortedDates.length - 1] }
: { from: "", to: "" };
return {
generatedAt: new Date().toISOString(),
postsAnalyzed: posts.length,
dateRange,
byDayOfWeek,
bestDayImpressions,
bestDayEngagement,
};
}

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@ -0,0 +1,117 @@
import type { PostAnalytics, MonthlyReport } from "../models/types.js";
import { loadAllPosts, loadMonthlyReport, saveMonthlyReport } from "../utils/storage.js";
import { mean } from "../utils/stats.js";
import { detectAlerts } from "../utils/alerts.js";
import { getISOWeek } from "./weekly.js";
/**
* Get previous month string (e.g., "2026-03" "2026-02")
*/
function getPreviousMonth(month: string): string {
const [year, m] = month.split("-").map(Number);
if (m === 1) return `${year - 1}-12`;
return `${year}-${String(m - 1).padStart(2, "0")}`;
}
/**
* Generate a monthly report with optional MoM comparison.
* Saves the report to disk and returns it.
*/
export function generateMonthlyReport(root: string, month: string): MonthlyReport {
const allPosts = loadAllPosts(root);
const monthPosts = allPosts.filter(p => p.publishedDate.startsWith(month));
// Summary
const totalPosts = monthPosts.length;
const totalImpressions = monthPosts.reduce((s, p) => s + p.metrics.impressions, 0);
const totalReactions = monthPosts.reduce((s, p) => s + p.metrics.reactions, 0);
const totalComments = monthPosts.reduce((s, p) => s + p.metrics.comments, 0);
const totalShares = monthPosts.reduce((s, p) => s + p.metrics.shares, 0);
const totalClicks = monthPosts.reduce((s, p) => s + p.metrics.clicks, 0);
const avgEngagementRate = totalPosts > 0
? parseFloat(mean(monthPosts.map(p => p.metrics.engagementRate)).toFixed(2))
: 0;
const avgImpressionsPerPost = totalPosts > 0
? Math.round(totalImpressions / totalPosts)
: 0;
// Top performers (sorted by impressions desc)
const topPerformers = [...monthPosts]
.sort((a, b) => b.metrics.impressions - a.metrics.impressions)
.slice(0, 5);
// Weekly breakdown
const weekBuckets = new Map<string, PostAnalytics[]>();
for (const post of monthPosts) {
const week = getISOWeek(new Date(post.publishedDate + "T00:00:00Z"));
if (!weekBuckets.has(week)) weekBuckets.set(week, []);
weekBuckets.get(week)!.push(post);
}
const byWeek = Array.from(weekBuckets.entries())
.sort(([a], [b]) => a.localeCompare(b))
.map(([week, posts]) => ({
week,
postCount: posts.length,
avgImpressions: Math.round(mean(posts.map(p => p.metrics.impressions))),
avgEngagementRate: parseFloat(mean(posts.map(p => p.metrics.engagementRate)).toFixed(1)),
}));
// MoM comparison
const prevMonth = getPreviousMonth(month);
const prevReport = loadMonthlyReport(root, prevMonth);
let trends: MonthlyReport["trends"];
if (prevReport && prevReport.summary.totalPosts > 0) {
const pctImpr = prevReport.summary.totalImpressions > 0
? parseFloat(((totalImpressions - prevReport.summary.totalImpressions) / prevReport.summary.totalImpressions * 100).toFixed(1))
: null;
const pctEng = prevReport.summary.avgEngagementRate > 0
? parseFloat(((avgEngagementRate - prevReport.summary.avgEngagementRate) / prevReport.summary.avgEngagementRate * 100).toFixed(1))
: null;
const pctPosts = prevReport.summary.totalPosts > 0
? parseFloat(((totalPosts - prevReport.summary.totalPosts) / prevReport.summary.totalPosts * 100).toFixed(1))
: null;
trends = {
comparedTo: prevMonth,
percentChange: {
impressions: pctImpr,
engagement: pctEng,
postCount: pctPosts,
},
};
} else {
trends = {
comparedTo: null,
percentChange: { impressions: null, engagement: null, postCount: null },
};
}
// Alerts
const alerts = totalPosts > 0 ? detectAlerts(monthPosts, "impressions") : [];
const report: MonthlyReport = {
month,
generatedAt: new Date().toISOString(),
summary: {
totalPosts,
totalImpressions,
totalReactions,
totalComments,
totalShares,
totalClicks,
avgEngagementRate,
avgImpressionsPerPost,
},
topPerformers,
byWeek,
trends,
alerts,
};
// Save report
saveMonthlyReport(root, report);
return report;
}

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@ -1,7 +1,7 @@
import { readFileSync, writeFileSync, readdirSync, existsSync, mkdirSync } from "node:fs";
import { join, resolve, dirname } from "node:path";
import { fileURLToPath } from "node:url";
import type { AnalyticsBatch, WeeklyReport, PostAnalytics } from "../models/types.js";
import type { AnalyticsBatch, WeeklyReport, MonthlyReport, PostAnalytics } from "../models/types.js";
const __dirname = dirname(fileURLToPath(import.meta.url));
@ -25,7 +25,7 @@ export function getAnalyticsRoot(): string {
* Ensure required subdirectories exist under analytics root
*/
export function ensureDirectories(root: string): void {
const directories = ["exports", "posts", "weekly-reports"];
const directories = ["exports", "posts", "weekly-reports", "monthly-reports"];
if (!existsSync(root)) {
mkdirSync(root, { recursive: true });
@ -252,3 +252,39 @@ export function loadAllWeeklyReports(root: string): WeeklyReport[] {
b.week.localeCompare(a.week)
);
}
/**
* Sanitize month string to only allow YYYY-MM format
*/
function sanitizeMonth(month: string): string {
if (!/^\d{4}-\d{2}$/.test(month)) {
throw new Error(`Invalid month format: ${month}. Expected YYYY-MM`);
}
return month;
}
/**
* Save a monthly report to disk
*/
export function saveMonthlyReport(root: string, report: MonthlyReport): string {
ensureDirectories(root);
const reportsDir = join(root, "monthly-reports");
const month = sanitizeMonth(report.month);
const filename = `${month}.json`;
const filepath = join(reportsDir, filename);
verifyPathWithinDirectory(filepath, reportsDir);
writeFileSync(filepath, JSON.stringify(report, null, 2), "utf-8");
return filename;
}
/**
* Load a specific monthly report by month identifier
*/
export function loadMonthlyReport(root: string, month: string): MonthlyReport | null {
month = sanitizeMonth(month);
const reportsDir = join(root, "monthly-reports");
const filepath = join(reportsDir, `${month}.json`);
if (!existsSync(filepath)) return null;
const content = readFileSync(filepath, "utf-8");
return JSON.parse(content) as MonthlyReport;
}