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Whatsapp

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sanjay3290
whatsapp

Send and receive WhatsApp messages via the unofficial linked-device client pywhats (pip install pywhats) — pair with QR, send text/images, group chat, read receipts, presence/typing, and a long-running JSON event stream. Use when the user wants to script WhatsApp as a linked companion device (like WhatsApp Web), pair a device, send a WhatsApp from Python, or listen for inbound messages. Triggers: 'whatsapp', 'send whatsapp', 'pair whatsapp', 'pywhats', 'linked device', 'whatsapp web client'. NOT the official WhatsApp Business/Cloud API.

Overview

Publishersanjay3290
Repositoryai-skills
Skill namewhatsapp
Stars
442
Forks
50
Bundled files
3
LicenseApache-2.0
Links
  • 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 sanjay3290 on GitHub. Read the source before you install it.

Installation

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

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/sanjay3290/ai-skills/tree/main/skills/whatsapp
  4. 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.
2

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/sanjay3290/ai-skills.git /tmp/ai-skills
mkdir -p .claude/skills
cp -r /tmp/ai-skills/skills/whatsapp .claude/skills/whatsapp
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Whatsapp 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 Whatsapp 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 Whatsapp 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.

WhatsApp (pywhats)

Drive a WhatsApp account as a linked companion device (like WhatsApp Web) from async Python via pywhats (pre-alpha, text/image only). This is an unofficial multi-device client — not the official WhatsApp Business / Cloud API.

CLI entrypoint: scripts/wa.py (auto-bootstraps a managed venv on first run).

Mental model

  • Pairing = one-time QR scan. wa.py pair shows an ASCII QR; scan it in WhatsApp → Linked Devices. Credentials persist to $PYWHATS_HOME/<session>.session (+ .signal.db).
  • Resuming = silent. Later commands reconnect with the same session — no QR.
  • JIDs address chats. Bare phone 15550001234 → 15550001234@s.whatsapp.net; groups use ...@g.us.
  • Events are how you receive. wa.py listen prints one JSON object per event.

⚠️ Never bare-await Client calls inside a handler

Event handlers run inline on the receive loop. Awaiting send_*, mark_read, get_group_info, download_media, etc. inside a handler deadlocks the connection. Always asyncio.create_task(...). The listen subcommand already does this for --read.

Commands

bash
scripts/wa.py pair                                          # one-time QR pair
scripts/wa.py send-text 15550001234 "hello"                 # 1:1 text
scripts/wa.py send-image 15550001234 photo.jpg --caption hi # 1:1 image
scripts/wa.py group-info 120363000000000000@g.us            # group metadata JSON
scripts/wa.py group-send 120363000000000000@g.us "hi all"   # group text
scripts/wa.py mark-read 15550001234 MSGID [--sender JID]    # blue ticks
scripts/wa.py presence available                            # global presence
scripts/wa.py typing 15550001234 composing [--media audio]  # typing indicator
scripts/wa.py listen --read --events message,receipt        # JSONL event stream
scripts/wa.py --session work send-text 15550001234 "hi"     # named session
CommandBehavior
pairFresh link via ASCII QR; idempotent if already paired
send-text <to> <text>Send 1:1 text; print message id
send-image <to> <path> [--caption C]Send image (jpg/png/webp, ≤16MB); print id
group-info <gid>Print group JSON (subject, owner, participants, …)
group-send <gid> <text>Resolve members then send group text; print id
mark-read <chat> <ids...>Blue-tick; --sender for groups
presence <available|unavailable>Global presence
typing <to> <composing|paused>Chat presence; optional --media audio
listenLong-running JSON lines; --read, --events, --subscribe JID (required for presence events)

Global: --session NAME (default default, or env PYWHATS_SESSION) — goes before the subcommand: wa.py --session work pair.

Sessions / multi-account

$PYWHATS_HOME/                 # default: ~/.pywhats
  venv/                        # managed Python + pywhats
  default.session              # --session default
  default.session.signal.db
  work.session                 # --session work

Override home with PYWHATS_HOME. Unpaired / logged-out sessions print a clear message to re-run wa.py --session <name> pair.

If pair reports the device was logged out right after scanning, that is WhatsApp device-churn reaping, not a failure of the skill — the dead session is deleted automatically; follow the recovery steps it prints (remove linked devices, wait 15–20 min, pair once).

Full reference

references/api.md — every Client method, every event payload, JID construction, and the download_media note.

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 Whatsapp AI skill do?

Send and receive WhatsApp messages via the unofficial linked-device client pywhats (pip install pywhats) — pair with QR, send text/images, group chat, read receipts, presence/typing, and a long-running JSON event stream. Use when the user wants to script WhatsApp as a linked companion device (like WhatsApp Web), pair a device, send a WhatsApp from Python, or listen for inbound messages. Triggers: 'whatsapp', 'send whatsapp', 'pair whatsapp', 'pywhats', 'linked device', 'whatsapp web client'. NOT the official WhatsApp Business/Cloud API.

Why use Whatsapp on TypingMind?

Because you install it once and use it with any model. Whatsapp 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 Whatsapp in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/sanjay3290/ai-skills/tree/main/skills/whatsapp. 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 Whatsapp?

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 Whatsapp?

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

Is the Whatsapp AI skill free?

Yes. It is published on GitHub by sanjay3290 under the Apache-2.0 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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