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Speak incident runbook

Skill jeremylongshore/claude-code-plugins-plus-skills/plugins/saas-packs/speak-pack/skills/speak-incident-runbook

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Install
npx -y skills add jeremylongshore/claude-code-plugins-plus-skills --skill speak-incident-runbook

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What its author says it does

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'Incident response for Speak API outages: triage, fallback to offline mode, and recovery procedures.

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SKILL.md

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Speak Incident Runbook

Overview

Incident response for Speak API outages: triage, fallback to offline mode, and recovery procedures.

Prerequisites

  • Completed speak-install-auth setup
  • Valid API credentials configured
  • Understanding of Speak API patterns

Instructions

Step 1: Configuration

Configure incident runbook for your Speak integration. Speak uses OpenAI's GPT-4o for AI tutoring and Whisper for speech recognition.

// speak_incident_runbook_config.ts
const config = {
  apiKey: process.env.SPEAK_API_KEY!,
  appId: process.env.SPEAK_APP_ID!,
  environment: process.env.NODE_ENV || 'development',
};

Step 2: Implementation

// Core implementation for speak incident runbook
import { SpeakClient } from '@speak/language-sdk';

const client = new SpeakClient(config);

// CI test with mocked responses
async function runCITests() {
  const mockClient = new MockSpeakClient();
  await mockClient.assessPronunciation({ audioPath: "test.wav", targetText: "hello", language: "en" });
  console.log("CI tests passed");
}

Step 3: Verification

npm test

Output

  • Speak Incident Runbook configured and verified
  • CI pipeline with mocked Speak API tests
  • Error handling and monitoring in place

Error Handling

ErrorCauseSolution
401 UnauthorizedInvalid API keyVerify SPEAK_API_KEY
429 Rate LimitedToo many requestsImplement backoff
Connection timeoutNetwork issueCheck connectivity to api.speak.com
Audio format errorWrong codecConvert to WAV 16kHz mono

Resources

Next Steps

For deployment, see speak-deploy-integration.

Examples

Basic: Apply incident runbook with default settings for a standard Speak integration.

Production: Configure with monitoring, alerting, and team-specific language learning requirements.

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