Speak observability

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

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Install

npx -y skills add jeremylongshore/claude-code-plugins-plus-skills --skill speak-observability

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What its author says it does

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'Monitor Speak API health, assessment latency, session metrics, and pronunciation score distributions.

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SKILL.md

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Speak Observability

Overview

Monitor Speak API health, assessment latency, session metrics, and pronunciation score distributions.

Prerequisites

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

Instructions

Step 1: Configuration

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

// speak_observability_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 observability
import { SpeakClient } from '@speak/language-sdk';

const client = new SpeakClient(config);

// Production-ready implementation
async function setup() {
  const health = await client.health.check();
  console.log("Status:", health.status);
  return health;
}

Step 3: Verification

curl -sf -H "Authorization: Bearer $SPEAK_API_KEY" https://api.speak.com/v1/health | jq .

Output

Speak Observability configured and verified
Production-ready Speak integration
Error handling and monitoring in place

Error Handling

Error	Cause	Solution
401 Unauthorized	Invalid API key	Verify SPEAK_API_KEY
429 Rate Limited	Too many requests	Implement backoff
Connection timeout	Network issue	Check connectivity to api.speak.com
Audio format error	Wrong codec	Convert to WAV 16kHz mono

Resources

Next Steps

For production checklist, see speak-prod-checklist.

Examples

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

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