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效率与协作 · SKILL.md

hootsuite-performance-tuning

hootsuite-performance-tuning

【效率与协作】Optimize Hootsuite API performance with caching, batching, and connection pooling. Use when experiencing slow API responses, implementing caching strategies, or optimizing request throughput for Hootsuite integrations. Trigger with phrases like "hootsuite performance", "optimize hootsuite", "hootsuite latency", "hootsuite caching", "hootsuite slow", …

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技能说明

GitHub

name: hootsuite-performance-tuning description: 'Optimize Hootsuite API performance with caching, batching, and connection pooling.

Use when experiencing slow API responses, implementing caching strategies,

or optimizing request throughput for Hootsuite integrations.

Trigger with phrases like "hootsuite performance", "optimize hootsuite",

"hootsuite latency", "hootsuite caching", "hootsuite slow", "hootsuite batch".

' allowed-tools: Read, Write, Edit version: 1.6.0 license: MIT author: Jeremy Longshore jeremy@intentsolutions.io tags:

  • saas
  • hootsuite
  • social-media compatibility: Designed for Claude Code

Hootsuite Performance Tuning

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.

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