Hootsuite Performance Tuning

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'Optimize Hootsuite API performance with caching, batching, and connection

Use Hootsuite Performance Tuning in Claude, ChatGPT or Ahel Desktop

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Then ask your AI: use the Hootsuite Performance Tuning skill

Details

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Hootsuite Performance TuningStart free

What this skill tells your AI

The instructions your AI receives, as published by jeremylongshore/tons-of-skills-marketplace in skills/.curated/hootsuite-performance-tuning/SKILL.md and read by Ahel’s review.

Instructions

Step 1: Cache Social Profiles

import { LRUCache } from 'lru-cache';

const profileCache = new LRUCache<string, any>({ max: 100, ttl: 3600000 });

async function getCachedProfiles(): Promise<any[]> {
  const cached = profileCache.get('profiles');
  if (cached) return cached;

  const response = await fetch('https://platform.hootsuite.com/v1/socialProfiles', {
    headers: { 'Authorization': `Bearer ${await getStoredToken()}` },
  });
  const { data } = await response.json();
  profileCache.set('profiles', data);
  return data;
}

Step 2: Batch Message Scheduling

import PQueue from 'p-queue';

const scheduleQueue = new PQueue({ concurrency: 2, interval: 1000, intervalCap: 2 });

async function batchSchedule(posts: Array<{ text: string; profileId: string; time: Date }>) {
  const results = await Promise.allSettled(
    posts.map(post =>
      scheduleQueue.add(() =>
        fetch('https://platform.hootsuite.com/v1/messages', {
          method: 'POST',
          headers: { 'Authorization': `Bearer ${process.env.HOOTSUITE_ACCESS_TOKEN}`, 'Content-Type': 'application/json' },
          body: JSON.stringify({ text: post.text, socialProfileIds: [post.profileId], scheduledSendTime: post.time.toISOString() }),
        }).then(r => r.json())
      )
    )
  );
  const succeeded = results.filter(r => r.status === 'fulfilled').length;
  console.log(`Scheduled ${succeeded}/${posts.length} posts`);
}

Step 3: Connection Reuse

import { Agent } from 'https';
const agent = new Agent({ keepAlive: true, maxSockets: 5 });
// Pass agent to fetch/axios for connection reuse to platform.hootsuite.com

Overview

Tune scheduling latency and throughput through draft-only sandbox fixtures and aggregate metrics. A gain is invalid if it changes account scope, audience, approval, publication state, or rollback ability.

Prerequisites

  • Baseline latency/quota metrics, draft-only fixture revision, error budget, and rollback revision for cache, concurrency, scheduling, and retry policy.

Output

Return a tuning receipt with baseline/canary bands, cache/concurrency/schedule revisions, quota/error outcomes, draft/approval assertions, owner approval, and rollback reference. Use aggregates only.

Error Handling

Roll back for quota saturation, increased errors, audience/approval drift, duplicate schedules, or a public-post path. Do not increase concurrency or cache duration to hide failure.

Examples

env=sandbox; p95=420ms->310ms; concurrency=2; schedule=r4; quota=within-budget; draft=pass; public_posts=0; rollback=perf-r3 documents a safe canary.

Resources

Next Steps

For cost optimization, see hootsuite-cost-tuning.

Signals

GitHub stars
3k
Forks
415
Last commit
Oct 2026
Advanced
Item type
skill
Key
hootsuite-performance-tuning
Source
github.com/jeremylongshore/tons-of-skills-marketplace