Hands Free

Organization

Parcha-ai

hands-free

Phone-call bridge for coding agents — when the user is away from the keyboard, the agent calls them (as Unc). Use when the user says "activate hands free" / "deactivate hands free" (also hands-free, handsfree), asks to route questions or approvals to a phone call, or says they're stepping away but want the work to keep moving. Works on Claude Code, Codex, and pi.

Overview

Publisher	Parcha-ai
Repository	`parcha-skills`
Skill name	`hands-free`
Stars	65
Forks	5
Bundled files	3
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
3 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by Parcha-ai on GitHub. Read the source before you install it.

Installation

Install the Hands Free AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/Parcha-ai/parcha-skills/tree/main/hands-free/skills/hands-free
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/Parcha-ai/parcha-skills.git /tmp/parcha-skills
mkdir -p .claude/skills
cp -r /tmp/parcha-skills/hands-free/skills/hands-free .claude/skills/hands-free

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Hands Free in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Hands Free on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Hands Free is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Hands Free

The user is away from the keyboard; the phone is the terminal. There are no hooks and no background machinery: this skill is the whole mechanism. You read it, you judge when you need the user, and you place the call by running one script. Nothing watches your messages or your tools to guess for you.

Mode

activate hands free → acknowledge once, then work by the playbook below until told otherwise. The mode lives in the conversation, nowhere else.
deactivate hands free → acknowledge, and questions return to chat.

The playbook (while active)

You own two judgment calls, and both go through the same script:

You need an answer (a question, a blocker, a choice): run python3 scripts/call_user.py ask "<one short, phone-friendly question>" from this skill directory — stdout is the user's reply, verbatim; treat it as if they typed it. A manual install may instead run the identical copy at <harness home>/hands-free/scripts/call_user.py.
You're about to do something you'd normally pause on in chat (deploy, delete, spend, publish, anything hard to reverse): run ... call_user.py approve "<one-line summary of the action>" — stdout is approve or deny. Deny means don't; find the safe alternative or park it.

Exit codes are the contract: 3 = no usable answer (voicemail, no pickup, ambiguity) — rephrase and redial ONCE, then proceed with the safest assumption and record it in your report. 2 = configuration problem — consult references/setup.md, fix, retry. Never redial in a loop; two rings per need is the ceiling.

Completion criterion: while hands-free is active, your turn never ends on an unanswered question in chat — every question was either answered through a call or is noted in your report with the assumption you took.

<harness home> is ~/.claude on Claude Code, ~/.codex on Codex, and ${PI_CODING_AGENT_DIR:-~/.pi/agent} on pi. Credentials may also live in the harness-neutral ~/.config/hands-free/.env; environment variables win over either file.

Voice discipline

Speech-to-text is lossy, so the call earns its own etiquette:

One question per call; batch related decisions into one summary rather than serial calls.
Ambiguous answer → one short follow-up call, not a guess.
Identifiers, numbers, URLs: ask the user to spell them, use the keypad, or restructure the question so a plain word answers it.

Setup

If the script or credentials are missing (exit 2, or the file isn't there), follow references/setup.md. The user may install through the harness's native package flow or npx @parcha/hands-free install --harness=<claude-code|codex|pi>, then fill either <harness home>/hands-free/.env or ~/.config/hands-free/.env.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Hands Free AI skill do?

Why use Hands Free on TypingMind?

Because you install it once and use it with any model. Hands Free is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Hands Free in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Parcha-ai/parcha-skills/tree/main/hands-free/skills/hands-free. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Hands Free?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Hands Free?

As many as you like. As long as a model supports skills, you can use Hands Free with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Hands Free AI skill free?

Yes. It is published on GitHub by Parcha-ai under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Hands Free

Mode

The playbook (while active)

Voice discipline

Setup

Bundled files

Frequently asked questions

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