Agent skill

Twinmind Performance Tuning

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

Optimize TwinMind transcription accuracy and speed with Ear-3 model configuration, audio quality tuning, and caching strategies.

MITAuto-check passedMedia & Creative

Install Twinmind Performance Tuning

skills CLI

$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill twinmind-performance-tuning -a claude-code

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

GitHub CLI

$ gh skill install jeremylongshore/tons-of-skills-marketplace twinmind-performance-tuning --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/twinmind-performance-tuning .claude/skills/twinmind-performance-tuning && 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/

Paste into Claude Code

Install the "twinmind-performance-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/twinmind-performance-tuning into .claude/skills/twinmind-performance-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "twinmind-performance-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

$skill-installer install https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/twinmind-performance-tuning

Type 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.

skills CLI

$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill twinmind-performance-tuning -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install jeremylongshore/tons-of-skills-marketplace twinmind-performance-tuning --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ 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/twinmind-performance-tuning .agents/skills/twinmind-performance-tuning && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "twinmind-performance-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/twinmind-performance-tuning into .agents/skills/twinmind-performance-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "twinmind-performance-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.

skills CLI

$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill twinmind-performance-tuning -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install jeremylongshore/tons-of-skills-marketplace twinmind-performance-tuning --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ 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/twinmind-performance-tuning .cursor/skills/twinmind-performance-tuning && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "twinmind-performance-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/twinmind-performance-tuning into .cursor/skills/twinmind-performance-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "twinmind-performance-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

$ gemini skills install https://github.com/jeremylongshore/tons-of-skills-marketplace.git --path skills/.curated/twinmind-performance-tuning

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill twinmind-performance-tuning -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install jeremylongshore/tons-of-skills-marketplace twinmind-performance-tuning --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ 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/twinmind-performance-tuning .gemini/skills/twinmind-performance-tuning && rm -rf skills-src

Use ~/.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/

Paste into Gemini CLI

Install the "twinmind-performance-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/twinmind-performance-tuning into .gemini/skills/twinmind-performance-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "twinmind-performance-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.

GitHub CLI

$ gh skill install jeremylongshore/tons-of-skills-marketplace twinmind-performance-tuning

Installs 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).

skills CLI

$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill twinmind-performance-tuning -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ 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/twinmind-performance-tuning .github/skills/twinmind-performance-tuning && rm -rf skills-src

Use ~/.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/

Paste into GitHub Copilot

Install the "twinmind-performance-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/twinmind-performance-tuning into .github/skills/twinmind-performance-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "twinmind-performance-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.

skills CLI

$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill twinmind-performance-tuning -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install jeremylongshore/tons-of-skills-marketplace twinmind-performance-tuning --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ 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/twinmind-performance-tuning .opencode/skills/twinmind-performance-tuning && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "twinmind-performance-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/twinmind-performance-tuning into .opencode/skills/twinmind-performance-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "twinmind-performance-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.

Facts

Skill name: twinmind-performance-tuning
GitHub stars: 2.8k
Token cost: ~933 tokens
SKILL.md length: 228 words
Files: 2 (incl. references)
Skills in repo: 3,342
Repo updated: Oct 10, 2026
First seen: Oct 8, 2026
Licence: MIT

At a glance

Optimize TwinMind transcription accuracy and speed with Ear-3 model configuration, audio quality tuning, and caching strategies.

Works in 3 steps: Setup → Implementation → Verification
Implementing performance tuning
SKILL.md covers Overview, Prerequisites, Instructions and Key TwinMind Specifications, plus 5 more sections
Calls curl and jq; reaches api.twinmind.com; needs TWINMIND_API_KEY

What it does

Twinmind Performance Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Optimize TwinMind transcription accuracy and speed with Ear-3 model configuration, audio quality tuning, and caching strategies. Use when implementing performance tuning, or managing TwinMind meeting AI operations. Trigger with phrases like "twinmind performance tuning", "twinmind performance tuning".

Its SKILL.md is about 930 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 Caching. It works with Chrome Extensions. 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

Implementing performance tuning
Managing TwinMind meeting AI operations
With phrases like twinmind performance tuning
Twinmind performance tuning

Example prompts

“twinmind performance tuning”
“/twinmind-performance-tuning”

Requirements

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

Workflow steps

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

Setup
Implementation
Verification

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(curl:*)
- Grep
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
- curl
- jq
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
- api.twinmind.com
Also links to:
- twinmind.com
- chromewebstore.google.com
- marktechpost.com
- apps.apple.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
- TWINMIND_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

Twinmind Performance Tuning loads about 933 tokens when it runs, and up to ~2.5k if it reads all its reference files. Until then it costs about 83 tokens; SKILL.md has 228 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~83
When it runs · the whole SKILL.md, loaded when a task matches: ~933
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~2.5k

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). 228 words, ~933 tokens.

Download SKILL.mdSave it as .claude/skills/twinmind-performance-tuning/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.

name: twinmind-performance-tuning
description: Optimize TwinMind transcription accuracy and speed with Ear-3 model configuration, audio quality tuning, and caching strategies. Use when implementing performance tuning, or managing TwinMind meeting AI operations. Trigger with phrases like "twinmind performance tuning", "twinmind performance tuning".
allowed-tools: Read, Write, Edit, Bash(npm:*), Bash(curl:*), Grep
compatibility: Designed for Claude Code
version: 1.13.0
license: MIT
author: Jeremy Longshore <jeremy@intentsolutions.io>
tags: saas, twinmind, performance

TwinMind Performance Tuning

Overview

Optimize TwinMind transcription accuracy and speed with Ear-3 model configuration, audio quality tuning, and caching strategies. TwinMind uses the Ear-3 speech model (5.26% WER, 3.8% DER) for transcription, with GPT-4, Claude, and Gemini for AI summarization.

Prerequisites

TwinMind account (Free, Pro $10/mo, or Enterprise)
Chrome extension installed and authenticated
Understanding of TwinMind workflow

Instructions

Step 1: Setup

TwinMind operates as a Chrome extension and mobile app with optional API access for Pro/Enterprise users.

javascript

// TwinMind configuration
const config = {
  apiKey: process.env.TWINMIND_API_KEY,
  model: "ear-3", // Transcription model
  aiModels: ["gpt-4", "claude", "gemini"], // Summary models
};

Step 2: Implementation

javascript

// TwinMind Performance Tuning implementation
// Core TwinMind integration
const twinmind = {
  transcriptionModel: "ear-3",
  languages: ["en", "es", "ko", "ja", "fr"],
  features: ["transcription", "summary", "action-items"],
  privacyMode: "on-device", // Audio never stored
};

// Check transcription capabilities
async function verify() {
  const health = await fetch("https://api.twinmind.com/v1/health");
  console.log("TwinMind status:", await health.json());
}

Step 3: Verification

bash

# Verify TwinMind integration
curl -H "Authorization: Bearer $TWINMIND_API_KEY" https://api.twinmind.com/v1/health | jq .

Key TwinMind Specifications

Feature	Specification
Transcription model	Ear-3 (5.26% WER)
Speaker diarization	3.8% DER
Languages	140+ supported
Audio processing	On-device (no recordings stored)
AI models	GPT-4, Claude, Gemini (auto-routed)
Platforms	Chrome extension, iOS, Android
Pricing	Free / Pro $10/mo / Enterprise custom

Output

TwinMind Performance Tuning configured and verified
TwinMind integration operational
Meeting transcription workflow ready

Error Handling

Error	Cause	Solution
Microphone access denied	Browser permissions not granted	Enable in Chrome settings
Transcription not starting	Audio source not detected	Check microphone selection
API key invalid	Incorrect or expired key	Regenerate in TwinMind dashboard
Sync failed	Network interruption	Check connection, retry
Calendar disconnect	OAuth token expired	Re-authorize in Settings

Resources

Next Steps

See twinmind-prod-checklist for production readiness.

Examples

Basic: Configure performance tuning with default TwinMind settings for standard meeting workflows.

Enterprise: Customize for high-volume meeting transcription with monitoring and alerting.

Files

SKILL.md and 1 other file (references) in skills/.curated/twinmind-performance-tuning of jeremylongshore/tons-of-skills-marketplace.

SKILL.md
references/implementation.md

Open the folder on GitHubat commit cfae287

Compare with similar skills

Twinmind Performance 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.

Twinmind Performance Tuning compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Twinmind Performance Tuning this skilljeremylongshore/tons-of-skills-marketplace	2.8k	—	~933	Automated safety check: Pass	MIT	yesterday
Ax AIdosco/aithy	107	—	~8.2k	Automated safety check: Pass	Apache-2.0	1 mo ago
Edu Math Videowy51ai/edulab	1.4k	—	~2.5k	Automated safety check: Notes	Apache-2.0	yesterday
TranscribeJetBrains/skills	366	4 repos	~776	Automated safety check: Pass	Apache-2.0	3 mo ago
Bilibili Transcribechubbyguan/chubbyskills	1.2k	—	~578	Automated safety check: Notes	MIT	3 days ago
Horizon Speechpeters/horizon	716	—	~1.8k	Automated safety check: Pass	MIT	today

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Questions about Twinmind Performance Tuning

What does Twinmind Performance Tuning do?

Optimize TwinMind transcription accuracy and speed with Ear-3 model configuration, audio quality tuning, and caching strategies. Twinmind Performance Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Optimize TwinMind transcription accuracy and speed with Ear-3 model configuration, audio quality tuning, and caching strategies.

When should I use Twinmind Performance Tuning?

Twinmind Performance Tuning fits situations like: implementing performance tuning; managing TwinMind meeting AI operations; with phrases like twinmind performance tuning; twinmind performance tuning.

How do I install Twinmind Performance Tuning in Claude Code?

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

How do I install Twinmind Performance Tuning in Codex?

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

Can I use Twinmind Performance Tuning 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 twinmind-performance-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/twinmind-performance-tuning, .gemini/skills/twinmind-performance-tuning, .github/skills/twinmind-performance-tuning and .opencode/skills/twinmind-performance-tuning in your project.

What does Twinmind Performance Tuning need to run?

Going by SKILL.md and its folder, Twinmind Performance Tuning needs the command-line tools its instructions call (curl and jq) and credentials named TWINMIND_API_KEY. Our summary lists: A credential in TWINMIND_API_KEY. Its frontmatter pre-approves these tools: Read, Write, Edit, Bash(npm:*), Bash(curl:*), Grep. Compatibility (from SKILL.md): Designed for Claude Code.

Does Twinmind Performance Tuning access the network?

SKILL.md names 5 domains. In commands or code: api.twinmind.com; the agent is likely to contact it when it follows the instructions. As links in the text: twinmind.com, chromewebstore.google.com, marktechpost.com and apps.apple.com. This is read from the text; nothing was executed.

Is Twinmind Performance Tuning 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 Twinmind Performance Tuning use?

Twinmind Performance Tuning 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 Twinmind Performance Tuning use?

About 933 tokens (SKILL.md is roughly 3.7k 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 1.6k tokens, read only when the agent opens those files.

What are the alternatives to Twinmind Performance Tuning?

Skills that share tags, products or a category with Twinmind Performance Tuning: Ax AI (dosco/aithy, 107 stars), Edu Math Video (wy51ai/edulab, 1.4k stars), Transcribe (JetBrains/skills, 366 stars) and Bilibili Transcribe (chubbyguan/chubbyskills, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Twinmind Performance Tuning?

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.

Install Twinmind Performance Tuning

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Compatibility

Context cost

Safety

SKILL.md

TwinMind Performance Tuning

Overview

Prerequisites

Instructions

Step 1: Setup

Step 2: Implementation

Step 3: Verification

Key TwinMind Specifications

Output

Error Handling

Resources

Next Steps

Examples

Files

Compare with similar skills

Similar skills

More from jeremylongshore/tons-of-skills-marketplace

Related

Questions about Twinmind Performance Tuning