Deepgram
Anil-matcha/awesome-muse-connectors
Deepgram speech AI: transcribe audio to text and synthesize speech (TTS).
Optimize Deepgram costs and usage for budget-conscious deployments.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill deepgram-cost-tuning -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace deepgram-cost-tuning --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-cost-tuning .claude/skills/deepgram-cost-tuning && rm -rf skills-srcUse ~/.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/
Install the "deepgram-cost-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/deepgram-cost-tuning into .claude/skills/deepgram-cost-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deepgram-cost-tuning", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/deepgram-cost-tuningType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill deepgram-cost-tuning -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace deepgram-cost-tuning --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/.curated/deepgram-cost-tuning .agents/skills/deepgram-cost-tuning && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "deepgram-cost-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/deepgram-cost-tuning into .agents/skills/deepgram-cost-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deepgram-cost-tuning", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill deepgram-cost-tuning -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace deepgram-cost-tuning --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/.curated/deepgram-cost-tuning .cursor/skills/deepgram-cost-tuning && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "deepgram-cost-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/deepgram-cost-tuning into .cursor/skills/deepgram-cost-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deepgram-cost-tuning", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/jeremylongshore/tons-of-skills-marketplace.git --path skills/.curated/deepgram-cost-tuning--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill deepgram-cost-tuning -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace deepgram-cost-tuning --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/.curated/deepgram-cost-tuning .gemini/skills/deepgram-cost-tuning && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "deepgram-cost-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/deepgram-cost-tuning into .gemini/skills/deepgram-cost-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deepgram-cost-tuning", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install jeremylongshore/tons-of-skills-marketplace deepgram-cost-tuningInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill deepgram-cost-tuning -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/.curated/deepgram-cost-tuning .github/skills/deepgram-cost-tuning && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "deepgram-cost-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/deepgram-cost-tuning into .github/skills/deepgram-cost-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deepgram-cost-tuning", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill deepgram-cost-tuning -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace deepgram-cost-tuning --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/.curated/deepgram-cost-tuning .opencode/skills/deepgram-cost-tuning && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "deepgram-cost-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/deepgram-cost-tuning into .opencode/skills/deepgram-cost-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deepgram-cost-tuning", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
deepgram-cost-tuningOptimize Deepgram costs and usage for budget-conscious deployments.
Deepgram Cost Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Optimize Deepgram costs and usage for budget-conscious deployments. Use when reducing transcription costs, implementing usage controls, or optimizing pricing tier utilization. Trigger: "deepgram cost", "reduce deepgram spending", "deepgram pricing", "deepgram budget", "optimize deepgram usage", "deepgram billing".
Its SKILL.md is about 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, Deployment and Pricing strategy. It works with Deepgram. 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.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
ReadWriteEditBash(ffmpeg:*)From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
ffmpegFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
deepgram.comFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
DEEPGRAM_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Designed for Claude Code
From compatibility in the SKILL.md frontmatter.
Deepgram Cost Tuning loads about 3k tokens when it runs, and up to ~5k if it reads all its reference files. Until then it costs about 84 tokens; SKILL.md has 329 words of instructions outside code blocks.
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.
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.
The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 329 words, ~2,959 tokens.
.claude/skills/deepgram-cost-tuning/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Compare aggregate duration, model, concurrency, and error data in a development/staging workload, change one approved model or batching parameter, and observe the quality/latency/cost tradeoff. Revert if quality or reliability drops; do not reduce retention, privacy, or consent safeguards merely to lower spend.
Optimize Deepgram API costs through smart model selection, audio preprocessing to reduce billable minutes, usage monitoring via the Deepgram API, budget guardrails, and feature-aware cost estimation. Deepgram bills per audio minute processed.
| Product | Model | Price/Minute | Notes |
|---|---|---|---|
| STT (Batch) | Nova-3 | $0.0043 | Best accuracy |
| STT (Batch) | Nova-2 | $0.0043 | Proven stable |
| STT (Streaming) | Nova-3 | $0.0059 | Real-time |
| STT (Streaming) | Nova-2 | $0.0059 | Real-time |
| STT (Batch) | Base | $0.0048 | Fastest |
| STT (Batch) | Whisper | $0.0048 | Multilingual |
| TTS | Aura-2 | Pay-per-character | See TTS pricing |
| Intelligence | Summarize/Topics/Sentiment | Included with STT | No extra cost |
Add-on costs:
import { createClient } from '@deepgram/sdk';
interface BudgetConfig {
monthlyLimitUsd: number;
warningThreshold: number; // 0.0-1.0 (e.g., 0.8 = warn at 80%)
costPerMinute: number; // Base STT cost
}
class BudgetAwareTranscriber {
private client: ReturnType<typeof createClient>;
private config: BudgetConfig;
private monthlySpendUsd = 0;
private monthlyMinutes = 0;
constructor(apiKey: string, config: BudgetConfig) {
this.client = createClient(apiKey);
this.config = config;
}
async transcribe(source: any, options: any) {
// Estimate cost before transcription
const estimatedCost = this.estimateCost(options);
const projected = this.monthlySpendUsd + estimatedCost;
if (projected > this.config.monthlyLimitUsd) {
throw new Error(
`Budget exceeded: $${this.monthlySpendUsd.toFixed(2)} spent, ` +
`$${this.config.monthlyLimitUsd} limit`
);
}
if (projected > this.config.monthlyLimitUsd * this.config.warningThreshold) {
console.warn(
`Budget warning: ${((projected / this.config.monthlyLimitUsd) * 100).toFixed(0)}% ` +
`of $${this.config.monthlyLimitUsd} limit`
);
}
const { result, error } = await this.client.listen.prerecorded.transcribeUrl(
source, options
);
if (error) throw error;
// Track actual usage
const duration = result.metadata.duration / 60; // Convert to minutes
const actualCost = this.calculateCost(duration, options);
this.monthlyMinutes += duration;
this.monthlySpendUsd += actualCost;
return result;
}
private estimateCost(options: any): number {
// Conservative estimate — assume 5 minutes per file
return this.calculateCost(5, options);
}
private calculateCost(minutes: number, options: any): number {
let cost = minutes * this.config.costPerMinute;
if (options.diarize) cost += minutes * 0.0044; // Diarization add-on
return cost;
}
getUsageSummary() {
return {
minutesUsed: this.monthlyMinutes.toFixed(1),
spentUsd: this.monthlySpendUsd.toFixed(4),
remainingUsd: (this.config.monthlyLimitUsd - this.monthlySpendUsd).toFixed(4),
utilizationPercent: ((this.monthlySpendUsd / this.config.monthlyLimitUsd) * 100).toFixed(1),
};
}
}
// Usage:
const transcriber = new BudgetAwareTranscriber(process.env.DEEPGRAM_API_KEY!, {
monthlyLimitUsd: 100,
warningThreshold: 0.8,
costPerMinute: 0.0043,
});# Remove silence — can save 10-40% of billable minutes
ffmpeg -i input.wav \
-af "silenceremove=stop_periods=-1:stop_duration=0.5:stop_threshold=-30dB" \
-ar 16000 -ac 1 -acodec pcm_s16le \
trimmed.wav
# Speed up audio (1.25x) — saves 20% of billable minutes
# Deepgram handles slightly sped-up audio well
ffmpeg -i input.wav \
-filter:a "atempo=1.25" \
-ar 16000 -ac 1 -acodec pcm_s16le \
faster.wavimport { execSync } from 'child_process';
function measureSavings(inputPath: string) {
// Get original duration
const origDuration = parseFloat(
execSync(`ffprobe -v quiet -show_entries format=duration -of csv=p=0 "${inputPath}"`)
.toString().trim()
);
// Remove silence
execSync(`ffmpeg -y -i "${inputPath}" \
-af "silenceremove=stop_periods=-1:stop_duration=0.5:stop_threshold=-30dB" \
-ar 16000 -ac 1 -acodec pcm_s16le /tmp/trimmed.wav 2>/dev/null`);
const trimmedDuration = parseFloat(
execSync(`ffprobe -v quiet -show_entries format=duration -of csv=p=0 /tmp/trimmed.wav`)
.toString().trim()
);
const savings = ((1 - trimmedDuration / origDuration) * 100).toFixed(1);
const costSaved = ((origDuration - trimmedDuration) / 60 * 0.0043).toFixed(4);
console.log(`Original: ${origDuration.toFixed(1)}s`);
console.log(`Trimmed: ${trimmedDuration.toFixed(1)}s`);
console.log(`Savings: ${savings}% (${costSaved}/file at $0.0043/min)`);
}import { createClient } from '@deepgram/sdk';
async function getUsageDashboard(projectId: string) {
const client = createClient(process.env.DEEPGRAM_API_KEY!);
// Get usage for current month
const now = new Date();
const monthStart = new Date(now.getFullYear(), now.getMonth(), 1);
const { result } = await client.manage.getUsage(projectId, {
start: monthStart.toISOString(),
end: now.toISOString(),
});
// Aggregate by model
const byModel: Record<string, { minutes: number; cost: number }> = {};
for (const entry of (result as any).results ?? []) {
const model = entry.model ?? 'unknown';
if (!byModel[model]) byModel[model] = { minutes: 0, cost: 0 };
byModel[model].minutes += (entry.hours ?? 0) * 60 + (entry.minutes ?? 0);
}
console.log('=== Monthly Usage ===');
for (const [model, data] of Object.entries(byModel)) {
const cost = data.minutes * 0.0043;
console.log(`${model}: ${data.minutes.toFixed(1)} min ($${cost.toFixed(2)})`);
}
// Monthly projection
const dayOfMonth = now.getDate();
const daysInMonth = new Date(now.getFullYear(), now.getMonth() + 1, 0).getDate();
const totalMinutes = Object.values(byModel).reduce((s, d) => s + d.minutes, 0);
const projectedMinutes = (totalMinutes / dayOfMonth) * daysInMonth;
const projectedCost = projectedMinutes * 0.0043;
console.log(`\nProjected monthly: ${projectedMinutes.toFixed(0)} min ($${projectedCost.toFixed(2)})`);
}function recommendModel(params: {
qualityNeeded: 'high' | 'medium' | 'low';
isRealtime: boolean;
languages: string[];
budgetPerMinute?: number;
}): { model: string; pricePerMin: number; reason: string } {
const { qualityNeeded, isRealtime, languages, budgetPerMinute } = params;
// Multilingual -> Whisper
if (languages.length > 1 || !['en', 'es', 'fr', 'de'].includes(languages[0])) {
return { model: 'whisper-large', pricePerMin: 0.0048, reason: 'Multilingual support' };
}
// Budget constraint
if (budgetPerMinute !== undefined && budgetPerMinute < 0.005) {
return { model: 'nova-2', pricePerMin: 0.0043, reason: 'Best price per quality' };
}
// Real-time -> Nova-3 (streaming price $0.0059/min)
if (isRealtime) {
return { model: 'nova-3', pricePerMin: 0.0059, reason: 'Best real-time accuracy' };
}
// Quality based
switch (qualityNeeded) {
case 'high':
return { model: 'nova-3', pricePerMin: 0.0043, reason: 'Highest accuracy' };
case 'medium':
return { model: 'nova-2', pricePerMin: 0.0043, reason: 'Good accuracy, proven' };
case 'low':
return { model: 'base', pricePerMin: 0.0048, reason: 'Fastest processing' };
}
}// Feature cost breakdown per minute of audio
const featureCosts: Record<string, { cost: number; description: string }> = {
// Free features (included with STT)
smart_format: { cost: 0, description: 'Punctuation + paragraphs + numerals' },
punctuate: { cost: 0, description: 'Punctuation only' },
paragraphs: { cost: 0, description: 'Paragraph formatting' },
summarize: { cost: 0, description: 'AI summary (included with STT)' },
detect_topics: { cost: 0, description: 'Topic detection (included)' },
sentiment: { cost: 0, description: 'Sentiment analysis (included)' },
intents: { cost: 0, description: 'Intent recognition (included)' },
redact: { cost: 0, description: 'PII redaction (included)' },
// Paid add-ons
diarize: { cost: 0.0044, description: 'Speaker identification (+$0.0044/min)' },
multichannel: { cost: 0.0043, description: 'Per-channel billing (1x STT cost per channel)' },
};
function estimateJobCost(params: {
durationMinutes: number;
model: string;
features: string[];
channels?: number;
}): number {
const baseCost = params.durationMinutes * 0.0043;
let addOnCost = 0;
for (const feature of params.features) {
addOnCost += (featureCosts[feature]?.cost ?? 0) * params.durationMinutes;
}
// Multichannel: billed per channel
const channelMultiplier = params.channels ?? 1;
return (baseCost + addOnCost) * channelMultiplier;
}
// Example: 60 min meeting with diarization
// estimateJobCost({ durationMinutes: 60, model: 'nova-3', features: ['diarize'] })
// = (60 * 0.0043) + (60 * 0.0044) = $0.258 + $0.264 = $0.522| Strategy | Savings | Effort |
|---|---|---|
| Remove silence from audio | 10-40% | Low (ffmpeg one-liner) |
| Disable diarization when not needed | ~50% | Low (remove option) |
| Use callback for long files | Indirect (no timeouts) | Low |
| Cache repeated transcriptions | 20-60% | Medium (Redis) |
| Speed up audio 1.25x | 20% | Low (ffmpeg) |
| Use Nova-2 instead of Nova-3 | 0% (same price) | None |
| Batch pre-recorded vs streaming | 37% ($0.0043 vs $0.0059) | Medium |
| Issue | Cause | Solution |
|---|---|---|
| Budget exceeded | No controls | Enable budget check before transcription |
| Unexpected charges | Diarization always on | Make diarization opt-in |
| Usage API empty | Wrong project ID | Get ID from getProjects() |
| Cost spike | Batch job without limits | Set concurrency limits + budget cap |
© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file (references) in skills/.curated/deepgram-cost-tuning of jeremylongshore/tons-of-skills-marketplace.
Open the folder on GitHubat commit cfae287
Deepgram Cost Tuning 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Deepgram Cost Tuning this skilljeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~3k | Automated safety check: Pass | MIT | |
| DeepgramAnil-matcha/awesome-muse-connectors | 1.3k | — | ~857 | Automated safety check: Pass | MIT | |
| 9Router Speech-to-Textdecolua/9router | 31k | — | ~914 | Automated safety check: Pass | MIT | |
| Deepgram JS Audio Intelligencedeepgram/deepgram-js-sdk | 276 | — | ~1.5k | Automated safety check: Pass | MIT | |
| Deepgram JS Speech To Textdeepgram/deepgram-js-sdk | 276 | — | ~1.8k | Automated safety check: Pass | MIT | |
| Keirouter Sttmydisha/keirouter | 147 | — | ~680 | Automated safety check: Pass | MIT |
Anil-matcha/awesome-muse-connectors
Deepgram speech AI: transcribe audio to text and synthesize speech (TTS).
decolua/9router
Transcribes audio files into text or subtitles through 9Router's Whisper-compatible endpoint, using models from OpenAI, Groq, Gemini, Deepgram and others.
deepgram/deepgram-js-sdk
A skill your agent uses when writing or reviewing JavaScript/TypeScript in this repo that calls Deepgram audio analytics overlays on /v1/listen - summarize, topics, intents, sentiment, diarize…
deepgram/deepgram-js-sdk
A skill your agent uses when writing or reviewing JavaScript/TypeScript in this repo that calls Deepgram Speech-to-Text v1 (/v1/listen) for prerecorded or live audio transcription.
mydisha/keirouter
Speech-to-text via KeiRouter /v1/audio/transcriptions using OpenAI Whisper / Groq / Gemini / Deepgram / AssemblyAI models.
deepgram/deepgram-python-sdk
Shows how to add Deepgram analytics such as diarization, summaries, sentiment, topics, redaction and language detection to speech transcription in Python.
jeremylongshore/tons-of-skills-marketplace
Execute this skill enables AI assistant to conduct a security-focused code review using the security-agent plugin.
jeremylongshore/tons-of-skills-marketplace
Build this skill automates the adaptation of pre-trained machine learning models using transfer learning techniques.
jeremylongshore/tons-of-skills-marketplace
Execute proactive auto-loading: automatically detects and loads agents.md files.
jeremylongshore/tons-of-skills-marketplace
Aggregate and centralize performance metrics from applications, systems, databases, caches, and services.
jeremylongshore/tons-of-skills-marketplace
Execute this skill enables AI assistant to analyze capacity requirements and plan for future growth.
jeremylongshore/tons-of-skills-marketplace
Process use when you need to work with database indexing. An agent skill from jeremylongshore/tons-of-skills-marketplace.
Works with
Categories
Optimize Deepgram costs and usage for budget-conscious deployments. Deepgram Cost Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Optimize Deepgram costs and usage for budget-conscious deployments.
Deepgram Cost Tuning fits situations like: reducing transcription costs; implementing usage controls; optimizing pricing tier utilization.
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill deepgram-cost-tuning -a claude-code`. Or copy the skill folder (skills/.curated/deepgram-cost-tuning in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/deepgram-cost-tuning in your project. Claude Code loads it when a task matches its description.
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill deepgram-cost-tuning -a codex`. Or copy the skill folder (skills/.curated/deepgram-cost-tuning in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/deepgram-cost-tuning in your project. Codex loads it when a task matches its description.
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-cost-tuning -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-cost-tuning, .gemini/skills/deepgram-cost-tuning, .github/skills/deepgram-cost-tuning and .opencode/skills/deepgram-cost-tuning in your project.
Going by SKILL.md and its folder, Deepgram Cost Tuning needs the command-line tools its instructions call (ffmpeg) 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(ffmpeg:*). Compatibility (from SKILL.md): Designed for Claude Code.
SKILL.md names 1 domain. As links in the text: deepgram.com. This is read from the text; nothing was executed.
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.
Deepgram Cost Tuning is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 3k tokens (SKILL.md is roughly 12k 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 2k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Deepgram Cost Tuning: Deepgram (Anil-matcha/awesome-muse-connectors, 1.3k stars), 9Router Speech-to-Text (decolua/9router, 31k stars), Deepgram JS Audio Intelligence (deepgram/deepgram-js-sdk, 276 stars) and Deepgram JS Speech To Text (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.
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.