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Skillv1.0.0

speak-reference-architecture

Production architecture for Speak language learning apps: client, API gateway, assessment engine, and progress store. Use when implementing reference architecture, or managing Speak language learning

by jeremylongshore(0) 0 installs
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About

Imported from jeremylongshore/tons-of-skills-marketplace (plugins/saas-packs/speak-pack/skills/speak-reference-architecture/SKILL.md). Install upstream with npx skills add jeremylongshore/tons-of-skills-marketplace --skill speak-reference-architecture. Copyright stays with the author (MIT).

Speak Reference Architecture

Overview

Production architecture for Speak language learning apps: client, API gateway, assessment engine, and progress store.

Prerequisites

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

Instructions

Step 1: Configuration

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

// speak_reference_architecture_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 reference architecture
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 Reference Architecture 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 reference architecture with default settings for a standard Speak integration.

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

Use it

Copy one of these into your project. Installing also returns the manifest and these snippets.

yaml
targets:
  - https://api.opensmartroute.ai/api/v1/registry/jeremylongshore-tons-of-skills-marketplace-speak-referen-ecd16e/manifest   # or paste the manifest below

Manifest

An Open Capability Manifest: the router reads it to know what this does, what it costs and when to pick it.

jeremylongshore-tons-of-skills-marketplace-speak-referen-ecd16e.ocm.jsonjson
{
  "ocm": "1",
  "id": "jeremylongshore-tons-of-skills-marketplace-speak-referen-ecd16e",
  "kind": "skill",
  "name": "speak-reference-architecture",
  "description": "Production architecture for Speak language learning apps: client, API gateway, assessment engine, and progress store. Use when implementing reference architecture, or managing Speak language learning platform operations. Trigger with phrases like \"speak reference architecture\", \"speak reference architecture\".",
  "publisher": "jeremylongshore",
  "version": "1.0.0",
  "capabilities": {
    "domains": [
      "coding"
    ],
    "tags": [
      "skill-md",
      "saas",
      "speak",
      "api",
      "skills-sh"
    ],
    "languages": [
      "en"
    ]
  },
  "quality_prior": 0.6,
  "examples": [
    "Production architecture for Speak language learning apps: client, API gateway, assessment engine, and progress store. Use when implementing reference architecture, or managing Speak language learning platform operations. Trigger with phrases like \"speak reference architecture\", \"speak reference architecture\"."
  ],
  "primary": false,
  "metadata": {
    "source": {
      "provider": "skills.sh",
      "repository": "https://github.com/jeremylongshore/tons-of-skills-marketplace",
      "path": "plugins/saas-packs/speak-pack/skills/speak-reference-architecture/SKILL.md",
      "ref": "HEAD",
      "url": "https://github.com/jeremylongshore/tons-of-skills-marketplace/blob/HEAD/plugins/saas-packs/speak-pack/skills/speak-reference-architecture/SKILL.md",
      "key": "jeremylongshore/tons-of-skills-marketplace/plugins/saas-packs/speak-pack/skills/speak-reference-architecture/SKILL.md"
    },
    "compatibility": "Designed for Claude Code",
    "allowed_tools": [
      "Read,",
      "Write,",
      "Edit,",
      "Bash(npm:*),",
      "Bash(curl:*),",
      "Grep"
    ],
    "license": "MIT"
  },
  "instructions": "# Speak Reference Architecture\n\n## Overview\n\nProduction architecture for Speak language learning apps: client, API gateway, assessment engine, and progress store.\n\n## Prerequisites\n\n- Completed `speak-install-auth` setup\n- Valid API credentials configured\n- Understanding of Speak API patterns\n\n## Instructions\n\n### Step 1: Configuration\n\nConfigure reference architecture for your Speak integration. Speak uses OpenAI's GPT-4o for AI tutoring and Whisper for speech recognition.\n\n```typescript\n// speak_reference_architecture_config.ts\nconst config = {\n  apiKey: process.env.SPEAK_API_KEY!,\n  appId: ",
  "cost": {
    "context_tokens": 533
  }
}

Fetch it by URL: GET /api/v1/registry/jeremylongshore-tons-of-skills-marketplace-speak-referen-ecd16e/manifest?version=1.0.0

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