Agent skill

Deepgram Migration Deep Dive

by jeremylongshore in jeremylongshore/tons-of-skills-marketplace

Deep dive into migrating to Deepgram from other transcription providers.

MITAuto-check passedMedia & Creative

Install Deepgram Migration Deep Dive

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill deepgram-migration-deep-dive -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace deepgram-migration-deep-dive --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/deepgram-migration-deep-dive .claude/skills/deepgram-migration-deep-dive && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
deepgram-migration-deep-dive
GitHub stars
2.8k
Token cost
~3.3k tokens
SKILL.md length
470 words
Files
2 (incl. references)
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Deep dive into migrating to Deepgram from other transcription providers.

  • Works in 6 steps: Adapter Pattern → Deepgram Adapter → AWS Transcribe Adapter (Legacy) → …
  • Migrating from AWS Transcribe
  • SKILL.md covers Prerequisites, Examples, Current State and Overview, plus 5 more sections
  • Calls npm and pip; needs DEEPGRAM_API_KEY

What it does

Deepgram Migration Deep Dive is an agent skill from jeremylongshore/tons-of-skills-marketplace. Deep dive into migrating to Deepgram from other transcription providers. Use when migrating from AWS Transcribe, Google Cloud STT, Azure Speech, OpenAI Whisper, AssemblyAI, or Rev.ai to Deepgram. Trigger: "deepgram migration", "switch to deepgram", "migrate transcription", "deepgram from AWS", "deepgram from Google", "replace whisper with deepgram".

Its SKILL.md is about 3.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/implementation.md`). Compatibility notes: Designed for Claude Code

It sits in Media & Creative, covering Transcription and Speech recognition and synthesis. It works with Deepgram, Amazon Web Services, Google Cloud and Whisper. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.

When your agent uses it

  • Migrating from AWS Transcribe
  • Google Cloud STT
  • Rev.ai to Deepgram

Example prompts

  • “deepgram migration”
  • “switch to deepgram”
  • “migrate transcription”
  • “/deepgram-migration-deep-dive”

Requirements

  • A credential in DEEPGRAM_API_KEY
  • Compatibility (from SKILL.md): Designed for Claude Code
  • Pre-approved tools (allowed-tools): Read, Write, Edit, Bash(npm:*), Bash(pip:*)

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Adapter Pattern
  2. Deepgram Adapter
  3. AWS Transcribe Adapter (Legacy)
  4. Migration Router with Traffic Shifting
  5. Parallel Running and Quality Validation
  6. Migration Checklist

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Edit
    • Bash(npm:*)
    • Bash(pip:*)

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • npm
    • pip

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • deepgram.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • DEEPGRAM_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Designed for Claude Code

    From compatibility in the SKILL.md frontmatter.

Context cost

Deepgram Migration Deep Dive loads about 3.3k tokens when it runs, and up to ~4.6k if it reads all its reference files. Until then it costs about 95 tokens; SKILL.md has 470 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~95
When it runs · the whole SKILL.md, loaded when a task matches
~3.3k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 470 words, ~3,325 tokens.

Download SKILL.mdSave it as .claude/skills/deepgram-migration-deep-dive/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
deepgram-migration-deep-dive
description
Deep dive into migrating to Deepgram from other transcription providers. Use when migrating from AWS Transcribe, Google Cloud STT, Azure Speech, OpenAI Whisper, AssemblyAI, or Rev.ai to Deepgram. Trigger: "deepgram migration", "switch to deepgram", "migrate transcription", "deepgram from AWS", "deepgram from Google", "replace whisper with deepgram".
allowed-tools
Read, Write, Edit, Bash(npm:*), Bash(pip:*)
compatibility
Designed for Claude Code
version
1.13.0
license
MIT
author
Jeremy Longshore <jeremy@intentsolutions.io>
tags
saas, deepgram, migration, transcription

Deepgram Migration Deep Dive

Prerequisites

  • An inventory of existing audio/transcript flows, data retention/consent obligations, evaluation fixtures, and rollback owner.
  • A staging environment with separate credentials and a compatibility/quality acceptance threshold.

Examples

Run the old and new transcription flow against approved non-sensitive fixtures, compare aggregate accuracy/latency/error metrics, and route a small reversible staging canary only after acceptance passes. Roll back immediately on quality, consent, or operational regression; do not bulk-migrate or reprocess customer recordings before the observation window closes.

Current State

!npm list @deepgram/sdk 2>/dev/null | grep deepgram || echo 'Not installed' !npm list @aws-sdk/client-transcribe 2>/dev/null | grep transcribe || echo 'AWS Transcribe SDK not found' !pip show google-cloud-speech 2>/dev/null | grep Version || echo 'Google STT not found'

Overview

Migrate to Deepgram from AWS Transcribe, Google Cloud Speech-to-Text, Azure Cognitive Services, or OpenAI Whisper. Uses an adapter pattern with a unified interface, parallel running for quality validation, percentage-based traffic shifting, and automated rollback.

Feature Mapping

AWS Transcribe -> Deepgram
AWS TranscribeDeepgramNotes
LanguageCode: 'en-US'language: 'en'ISO 639-1 (2-letter)
ShowSpeakerLabels: truediarize: trueSame feature, different param
VocabularyName: 'custom'keywords: ['term:1.5']Inline boosting, no pre-upload
ContentRedactionType: 'PII'redact: ['pci', 'ssn']Granular PII categories
OutputBucketNamecallback: 'https://...'Callback URL, not S3
Job polling modelSync response or callbackNo polling needed
Google Cloud STT -> Deepgram
Google STTDeepgramNotes
RecognitionConfig.encodingAuto-detectedDeepgram auto-detects format
RecognitionConfig.sampleRateHertzsample_rate (live only)REST auto-detects
RecognitionConfig.model: 'latest_long'model: 'nova-3'Direct mapping
SpeakerDiarizationConfigdiarize: trueSimpler configuration
StreamingRecognizelisten.live()WebSocket vs gRPC
OpenAI Whisper -> Deepgram
WhisperDeepgramNotes
Local GPU processingAPI callNo GPU needed
whisper.transcribe(audio)listen.prerecorded.transcribeFile()Similar interface
model='large-v3'model: 'nova-3'10-100x faster
language='en'language: 'en'Same format
No diarizationdiarize: trueDeepgram advantage
No streaminglisten.live()Deepgram advantage

Instructions

Step 1: Adapter Pattern
typescript
interface TranscriptionResult {
  transcript: string;
  confidence: number;
  words: Array<{ word: string; start: number; end: number; speaker?: number }>;
  duration: number;
  provider: string;
}

interface TranscriptionAdapter {
  transcribeUrl(url: string, options: any): Promise<TranscriptionResult>;
  transcribeFile(path: string, options: any): Promise<TranscriptionResult>;
  name: string;
}
Show full SKILL.md (187 more words)Show less
Step 2: Deepgram Adapter
typescript
import { createClient } from '@deepgram/sdk';
import { readFileSync } from 'fs';

class DeepgramAdapter implements TranscriptionAdapter {
  name = 'deepgram';
  private client: ReturnType<typeof createClient>;

  constructor(apiKey: string) {
    this.client = createClient(apiKey);
  }

  async transcribeUrl(url: string, options: any = {}): Promise<TranscriptionResult> {
    const { result, error } = await this.client.listen.prerecorded.transcribeUrl(
      { url },
      {
        model: options.model ?? 'nova-3',
        smart_format: true,
        diarize: options.diarize ?? false,
        language: options.language ?? 'en',
        keywords: options.keywords,
        redact: options.redact,
      }
    );
    if (error) throw new Error(`Deepgram: ${error.message}`);
    return this.normalize(result);
  }

  async transcribeFile(path: string, options: any = {}): Promise<TranscriptionResult> {
    const audio = readFileSync(path);
    const { result, error } = await this.client.listen.prerecorded.transcribeFile(
      audio,
      {
        model: options.model ?? 'nova-3',
        smart_format: true,
        diarize: options.diarize ?? false,
      }
    );
    if (error) throw new Error(`Deepgram: ${error.message}`);
    return this.normalize(result);
  }

  private normalize(result: any): TranscriptionResult {
    const alt = result.results.channels[0].alternatives[0];
    return {
      transcript: alt.transcript,
      confidence: alt.confidence,
      words: (alt.words ?? []).map((w: any) => ({
        word: w.punctuated_word ?? w.word,
        start: w.start,
        end: w.end,
        speaker: w.speaker,
      })),
      duration: result.metadata.duration,
      provider: 'deepgram',
    };
  }
}
Step 3: AWS Transcribe Adapter (Legacy)
typescript
// Legacy adapter — wraps existing AWS Transcribe code for parallel running
import { TranscribeClient, StartTranscriptionJobCommand, GetTranscriptionJobCommand }
  from '@aws-sdk/client-transcribe';

class AWSTranscribeAdapter implements TranscriptionAdapter {
  name = 'aws-transcribe';
  private client: TranscribeClient;

  constructor() {
    this.client = new TranscribeClient({});
  }

  async transcribeUrl(url: string, options: any = {}): Promise<TranscriptionResult> {
    const jobName = `migration-${Date.now()}`;

    await this.client.send(new StartTranscriptionJobCommand({
      TranscriptionJobName: jobName,
      LanguageCode: options.language ?? 'en-US',
      Media: { MediaFileUri: url },
      Settings: {
        ShowSpeakerLabels: options.diarize ?? false,
        MaxSpeakerLabels: options.diarize ? 10 : undefined,
      },
    }));

    // Poll for completion (AWS is async-only)
    let job;
    do {
      await new Promise(r => setTimeout(r, 5000));
      const result = await this.client.send(new GetTranscriptionJobCommand({
        TranscriptionJobName: jobName,
      }));
      job = result.TranscriptionJob;
    } while (job?.TranscriptionJobStatus === 'IN_PROGRESS');

    if (job?.TranscriptionJobStatus !== 'COMPLETED') {
      throw new Error(`AWS Transcribe failed: ${job?.FailureReason}`);
    }

    // Fetch and normalize result
    const response = await fetch(job.Transcript!.TranscriptFileUri!);
    const data = await response.json();

    return {
      transcript: data.results.transcripts[0].transcript,
      confidence: 0, // AWS doesn't provide overall confidence
      words: data.results.items
        .filter((i: any) => i.type === 'pronunciation')
        .map((i: any) => ({
          word: i.alternatives[0].content,
          start: parseFloat(i.start_time),
          end: parseFloat(i.end_time),
          speaker: i.speaker_label ? parseInt(i.speaker_label.replace('spk_', '')) : undefined,
        })),
      duration: 0,
      provider: 'aws-transcribe',
    };
  }

  async transcribeFile(path: string): Promise<TranscriptionResult> {
    throw new Error('Upload to S3 first, then use transcribeUrl');
  }
}
Step 4: Migration Router with Traffic Shifting
typescript
class MigrationRouter {
  private adapters: Map<string, TranscriptionAdapter> = new Map();
  private deepgramPercent: number;

  constructor(deepgramPercent = 0) {
    this.deepgramPercent = deepgramPercent;
  }

  register(adapter: TranscriptionAdapter) {
    this.adapters.set(adapter.name, adapter);
  }

  setDeepgramPercent(percent: number) {
    this.deepgramPercent = Math.max(0, Math.min(100, percent));
    console.log(`Traffic split: ${this.deepgramPercent}% Deepgram, ${100 - this.deepgramPercent}% legacy`);
  }

  async transcribe(url: string, options: any = {}): Promise<TranscriptionResult> {
    const useDeepgram = Math.random() * 100 < this.deepgramPercent;
    const primary = useDeepgram ? 'deepgram' : this.getLegacyName();
    const adapter = this.adapters.get(primary);

    if (!adapter) throw new Error(`Adapter not found: ${primary}`);

    const start = Date.now();
    const result = await adapter.transcribeUrl(url, options);
    const elapsed = Date.now() - start;

    console.log(`[${primary}] ${elapsed}ms, confidence: ${result.confidence.toFixed(3)}`);
    return result;
  }

  private getLegacyName(): string {
    for (const [name] of this.adapters) {
      if (name !== 'deepgram') return name;
    }
    throw new Error('No legacy adapter registered');
  }
}

// Migration rollout:
const router = new MigrationRouter(0);
router.register(new AWSTranscribeAdapter());
router.register(new DeepgramAdapter(process.env.DEEPGRAM_API_KEY!));

// Week 1: 5% to Deepgram
router.setDeepgramPercent(5);
// Week 2: 25%
router.setDeepgramPercent(25);
// Week 3: 50%
router.setDeepgramPercent(50);
// Week 4: 100% — migration complete
router.setDeepgramPercent(100);
Step 5: Parallel Running and Quality Validation
typescript
async function validateMigration(
  testAudioUrls: string[],
  legacyAdapter: TranscriptionAdapter,
  deepgramAdapter: TranscriptionAdapter,
  minSimilarity = 0.85
) {
  console.log(`Validating ${testAudioUrls.length} files (min similarity: ${minSimilarity})`);

  const results: Array<{
    url: string;
    similarity: number;
    legacyConfidence: number;
    deepgramConfidence: number;
    legacyTime: number;
    deepgramTime: number;
    pass: boolean;
  }> = [];

  for (const url of testAudioUrls) {
    const legacyStart = Date.now();
    const legacy = await legacyAdapter.transcribeUrl(url);
    const legacyTime = Date.now() - legacyStart;

    const dgStart = Date.now();
    const dg = await deepgramAdapter.transcribeUrl(url);
    const dgTime = Date.now() - dgStart;

    // Jaccard similarity
    const words1 = new Set(legacy.transcript.toLowerCase().split(/\s+/));
    const words2 = new Set(dg.transcript.toLowerCase().split(/\s+/));
    const intersection = new Set([...words1].filter(w => words2.has(w)));
    const union = new Set([...words1, ...words2]);
    const similarity = intersection.size / union.size;

    results.push({
      url: url.substring(url.lastIndexOf('/') + 1),
      similarity,
      legacyConfidence: legacy.confidence,
      deepgramConfidence: dg.confidence,
      legacyTime,
      deepgramTime,
      pass: similarity >= minSimilarity,
    });
  }

  // Report
  const passCount = results.filter(r => r.pass).length;
  console.log(`\n=== Validation Results ===`);
  for (const r of results) {
    console.log(`${r.pass ? 'PASS' : 'FAIL'} ${r.url}: similarity=${(r.similarity * 100).toFixed(1)}% ` +
      `(legacy: ${r.legacyTime}ms, deepgram: ${r.deepgramTime}ms)`);
  }
  console.log(`\n${passCount}/${results.length} passed (${(passCount / results.length * 100).toFixed(0)}%)`);

  return { results, allPassed: passCount === results.length };
}
Step 6: Migration Checklist
PhaseActionsDuration
AssessmentAudit current usage, map features, estimate costs1 week
SetupInstall SDK, implement adapter pattern, create test suite1 week
ValidationParallel run on test corpus, measure similarity1 week
Rollout 5%Enable for 5% of traffic, monitor closely1 week
Rollout 25%Increase if no issues, monitor error rate1 week
Rollout 50%Continue monitoring, compare costs1 week
Rollout 100%Full cutover, decommission legacy1 week
CleanupRemove legacy adapter, update docs1 week

Output

  • Unified TranscriptionAdapter interface
  • Deepgram and legacy (AWS/Google) adapter implementations
  • Migration router with percentage-based traffic shifting
  • Parallel running with Jaccard similarity validation
  • Migration timeline and checklist

Error Handling

IssueCauseSolution
Low similarityFeature mapping incompleteCheck options mapping (language, diarize)
Deepgram slower than expectedFirst request cold startPre-warm with test request
Missing featuresNo direct equivalentUse keywords for custom vocab
Rollback neededQuality regressionrouter.setDeepgramPercent(0) immediately

Resources

© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in skills/.curated/deepgram-migration-deep-dive of jeremylongshore/tons-of-skills-marketplace.

  • SKILL.md
  • references/implementation.md

Open the folder on GitHubat commit cfae287

Compare with similar skills

Deepgram Migration Deep Dive next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Deepgram Migration Deep Dive compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Deepgram Migration Deep Dive this skilljeremylongshore/tons-of-skills-marketplace2.8k—~3.3kAutomated safety check: PassMIT
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Keirouter Sttmydisha/keirouter147—~680Automated safety check: PassMIT
Transcribe Anythingswyxio/skills176—~8.5kAutomated safety check: PassMIT
Deepgram JS Audio Intelligencedeepgram/deepgram-js-sdk276—~1.5kAutomated safety check: PassMIT
Openai Whisper APIopenclaw/openclaw392k1 repos~518Automated safety check: PassMIT

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Questions about Deepgram Migration Deep Dive

What does Deepgram Migration Deep Dive do?

Deep dive into migrating to Deepgram from other transcription providers. Deepgram Migration Deep Dive is an agent skill from jeremylongshore/tons-of-skills-marketplace. Deep dive into migrating to Deepgram from other transcription providers.

When should I use Deepgram Migration Deep Dive?

Deepgram Migration Deep Dive fits situations like: migrating from AWS Transcribe; google Cloud STT; rev.ai to Deepgram.

How do I install Deepgram Migration Deep Dive in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill deepgram-migration-deep-dive -a claude-code`. Or copy the skill folder (skills/.curated/deepgram-migration-deep-dive in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/deepgram-migration-deep-dive in your project. Claude Code loads it when a task matches its description.

How do I install Deepgram Migration Deep Dive in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill deepgram-migration-deep-dive -a codex`. Or copy the skill folder (skills/.curated/deepgram-migration-deep-dive in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/deepgram-migration-deep-dive in your project. Codex loads it when a task matches its description.

Can I use Deepgram Migration Deep Dive in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill deepgram-migration-deep-dive -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/deepgram-migration-deep-dive, .gemini/skills/deepgram-migration-deep-dive, .github/skills/deepgram-migration-deep-dive and .opencode/skills/deepgram-migration-deep-dive in your project.

What does Deepgram Migration Deep Dive need to run?

Going by SKILL.md and its folder, Deepgram Migration Deep Dive needs the command-line tools its instructions call (npm and pip) and credentials named DEEPGRAM_API_KEY. Our summary lists: A credential in DEEPGRAM_API_KEY. Its frontmatter pre-approves these tools: Read, Write, Edit, Bash(npm:*), Bash(pip:*). Compatibility (from SKILL.md): Designed for Claude Code.

Does Deepgram Migration Deep Dive access the network?

SKILL.md names 1 domain. As links in the text: deepgram.com. This is read from the text; nothing was executed.

Is Deepgram Migration Deep Dive safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Deepgram Migration Deep Dive use?

Deepgram Migration Deep Dive is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Deepgram Migration Deep Dive use?

About 3.3k tokens (SKILL.md is roughly 13k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.3k tokens, read only when the agent opens those files.

What are the alternatives to Deepgram Migration Deep Dive?

Skills that share tags, products or a category with Deepgram Migration Deep Dive: 9Router Speech-to-Text (decolua/9router, 31k stars), Keirouter Stt (mydisha/keirouter, 147 stars), Transcribe Anything (swyxio/skills, 176 stars) and Deepgram JS Audio Intelligence (deepgram/deepgram-js-sdk, 276 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Deepgram Migration Deep Dive?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.

Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.