feat(linkedin-thought-leadership): v1.0.0 — initial open-source import
Build LinkedIn thought leadership with algorithmic understanding, strategic consistency, and AI-assisted content creation. Updated for the January 2026 360Brew algorithm change. 16 agents, 25 commands, 6 skills, 9 hooks, 24 reference docs. Personal data sanitized: voice samples generalized to template, high-engagement posts cleared, region-specific references replaced with placeholders. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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import type {
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PostAnalytics,
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Alert,
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PostMetrics,
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} from "../models/types.js";
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import { ALERT_THRESHOLDS } from "../models/types.js";
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import {
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mean,
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deviationsFromMean,
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percentChange,
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} from "./stats.js";
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/**
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* Analyze posts for spikes and drops based on standard deviation thresholds.
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* For each post, checks if its metric value deviates significantly from the mean.
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* Returns array of alerts sorted by severity (critical first).
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*/
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export function detectAlerts(
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posts: PostAnalytics[],
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metricKey: keyof PostMetrics = "impressions"
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): Alert[] {
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if (posts.length === 0) return [];
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const alerts: Alert[] = [];
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// Extract metric values
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const values = posts.map((post) => post.metrics[metricKey]);
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const avg = mean(values);
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// Check each post for significant deviations
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for (const post of posts) {
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const value = post.metrics[metricKey];
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const deviations = deviationsFromMean(value, values);
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// Spike detection
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if (deviations > ALERT_THRESHOLDS.spike) {
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alerts.push({
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type: "spike",
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severity: "info",
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metric: metricKey,
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message: `Post "${post.title}" has unusually high ${metricKey}: ${value.toLocaleString()} (${deviations.toFixed(1)} std deviations above mean)`,
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postId: post.id,
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value,
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baseline: avg,
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deviations,
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});
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}
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// Drop detection
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if (deviations < ALERT_THRESHOLDS.drop) {
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alerts.push({
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type: "drop",
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severity: "warning",
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metric: metricKey,
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message: `Post "${post.title}" has unusually low ${metricKey}: ${value.toLocaleString()} (${Math.abs(deviations).toFixed(1)} std deviations below mean)`,
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postId: post.id,
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value,
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baseline: avg,
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deviations,
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});
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}
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}
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// Sort by severity: critical > warning > info
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const severityOrder = { critical: 0, warning: 1, info: 2 };
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alerts.sort((a, b) => severityOrder[a.severity] - severityOrder[b.severity]);
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return alerts;
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}
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/**
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* Compare week-over-week metrics and generate alerts for significant changes.
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* Uses percentChange and ALERT_THRESHOLDS for weekly drops and spikes.
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*/
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export function detectWeeklyAlerts(
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currentWeekMetrics: { impressions: number; engagementRate: number },
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previousWeekMetrics: { impressions: number; engagementRate: number }
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): Alert[] {
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const alerts: Alert[] = [];
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// Analyze impressions
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const impressionChange = percentChange(
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currentWeekMetrics.impressions,
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previousWeekMetrics.impressions
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);
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if (impressionChange < ALERT_THRESHOLDS.weeklyDropCritical) {
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alerts.push({
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type: "drop",
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severity: "critical",
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metric: "impressions",
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message: `Critical drop in weekly impressions: ${impressionChange.toFixed(1)}% (from ${previousWeekMetrics.impressions.toLocaleString()} to ${currentWeekMetrics.impressions.toLocaleString()})`,
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value: currentWeekMetrics.impressions,
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baseline: previousWeekMetrics.impressions,
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deviations: impressionChange / 10, // Rough conversion to deviations
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});
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} else if (impressionChange < ALERT_THRESHOLDS.weeklyDropWarning) {
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alerts.push({
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type: "drop",
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severity: "warning",
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metric: "impressions",
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message: `Weekly impressions dropped by ${Math.abs(impressionChange).toFixed(1)}%: from ${previousWeekMetrics.impressions.toLocaleString()} to ${currentWeekMetrics.impressions.toLocaleString()}`,
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value: currentWeekMetrics.impressions,
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baseline: previousWeekMetrics.impressions,
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deviations: impressionChange / 10,
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});
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} else if (impressionChange > ALERT_THRESHOLDS.weeklySpikeInfo) {
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alerts.push({
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type: "spike",
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severity: "info",
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metric: "impressions",
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message: `Strong growth in weekly impressions: +${impressionChange.toFixed(1)}% (from ${previousWeekMetrics.impressions.toLocaleString()} to ${currentWeekMetrics.impressions.toLocaleString()})`,
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value: currentWeekMetrics.impressions,
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baseline: previousWeekMetrics.impressions,
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deviations: impressionChange / 10,
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});
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}
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// Analyze engagement rate
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const engagementChange = percentChange(
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currentWeekMetrics.engagementRate,
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previousWeekMetrics.engagementRate
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);
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if (engagementChange < ALERT_THRESHOLDS.weeklyDropCritical) {
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alerts.push({
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type: "drop",
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severity: "critical",
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metric: "engagementRate",
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message: `Critical drop in weekly engagement rate: ${engagementChange.toFixed(1)}% (from ${previousWeekMetrics.engagementRate.toFixed(2)}% to ${currentWeekMetrics.engagementRate.toFixed(2)}%)`,
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value: currentWeekMetrics.engagementRate,
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baseline: previousWeekMetrics.engagementRate,
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deviations: engagementChange / 10,
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});
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} else if (engagementChange < ALERT_THRESHOLDS.weeklyDropWarning) {
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alerts.push({
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type: "drop",
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severity: "warning",
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metric: "engagementRate",
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message: `Weekly engagement rate dropped by ${Math.abs(engagementChange).toFixed(1)}%: from ${previousWeekMetrics.engagementRate.toFixed(2)}% to ${currentWeekMetrics.engagementRate.toFixed(2)}%`,
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value: currentWeekMetrics.engagementRate,
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baseline: previousWeekMetrics.engagementRate,
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deviations: engagementChange / 10,
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});
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} else if (engagementChange > ALERT_THRESHOLDS.weeklySpikeInfo) {
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alerts.push({
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type: "spike",
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severity: "info",
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metric: "engagementRate",
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message: `Strong growth in weekly engagement rate: +${engagementChange.toFixed(1)}% (from ${previousWeekMetrics.engagementRate.toFixed(2)}% to ${currentWeekMetrics.engagementRate.toFixed(2)}%)`,
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value: currentWeekMetrics.engagementRate,
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baseline: previousWeekMetrics.engagementRate,
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deviations: engagementChange / 10,
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});
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}
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// Sort by severity: critical > warning > info
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const severityOrder = { critical: 0, warning: 1, info: 2 };
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alerts.sort((a, b) => severityOrder[a.severity] - severityOrder[b.severity]);
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return alerts;
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}
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