Hootsuite Performance Tuning
SkillDev tools'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.
Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.
No other account needed.
Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
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
github.com/jeremylongshore/tons-of-skills-marketplace
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