Greenapi Client Python
green-api/whatsapp-api-client-python
Write correct Python code with the official GREEN-API SDK whatsapp-api-client-python (package whatsappapiclientpython).
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…
Apache-2.0Auto-check passed
Install Whatsapp
$ npx skills add sanjay3290/ai-skills --skill whatsapp -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sanjay3290/ai-skills whatsapp --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/sanjay3290/ai-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/whatsapp .claude/skills/whatsapp && 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 "whatsapp" agent skill from https://github.com/sanjay3290/ai-skills/tree/main/skills/whatsapp into .claude/skills/whatsapp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "whatsapp", 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/sanjay3290/ai-skills/tree/main/skills/whatsappType 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 sanjay3290/ai-skills --skill whatsapp -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sanjay3290/ai-skills whatsapp --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sanjay3290/ai-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/whatsapp .agents/skills/whatsapp && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "whatsapp" agent skill from https://github.com/sanjay3290/ai-skills/tree/main/skills/whatsapp into .agents/skills/whatsapp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "whatsapp", 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 sanjay3290/ai-skills --skill whatsapp -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sanjay3290/ai-skills whatsapp --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sanjay3290/ai-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/whatsapp .cursor/skills/whatsapp && 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 "whatsapp" agent skill from https://github.com/sanjay3290/ai-skills/tree/main/skills/whatsapp into .cursor/skills/whatsapp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "whatsapp", 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/sanjay3290/ai-skills.git --path skills/whatsapp--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 sanjay3290/ai-skills --skill whatsapp -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sanjay3290/ai-skills whatsapp --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sanjay3290/ai-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/whatsapp .gemini/skills/whatsapp && 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 "whatsapp" agent skill from https://github.com/sanjay3290/ai-skills/tree/main/skills/whatsapp into .gemini/skills/whatsapp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "whatsapp", 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 sanjay3290/ai-skills whatsappInstalls 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 sanjay3290/ai-skills --skill whatsapp -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sanjay3290/ai-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/whatsapp .github/skills/whatsapp && 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 "whatsapp" agent skill from https://github.com/sanjay3290/ai-skills/tree/main/skills/whatsapp into .github/skills/whatsapp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "whatsapp", 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 sanjay3290/ai-skills --skill whatsapp -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install sanjay3290/ai-skills whatsapp --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sanjay3290/ai-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/whatsapp .opencode/skills/whatsapp && 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 "whatsapp" agent skill from https://github.com/sanjay3290/ai-skills/tree/main/skills/whatsapp into .opencode/skills/whatsapp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "whatsapp", 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
whatsapp- GitHub stars
- 431
- Token cost
- ~1.1k tokens
- SKILL.md length
- 314 words
- Files
- 5 (incl. scripts, references)
- Skills in repo
- 24
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
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…
- The user wants to script WhatsApp as a linked companion device (like WhatsApp Web)
- SKILL.md covers Mental model, ⚠️ Never bare-await Client…, Commands and Sessions / multi-account, plus 1 more section
- Runs Shell and Python scripts from its folder
- Send a WhatsApp from Python
What it does
Whatsapp is an agent skill from sanjay3290/ai-skills. 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…
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `README.md`, `references/api.md` and `scripts/_bootstrap.sh`).
It works with WhatsApp and Python. The repository describes itself as: 24 cross-platform agent skills for Claude Code, Cursor, Codex & Gemini CLI — databases, messaging, research, TTS, DevOps, and Google Workspace. The licence is Apache-2.0.
When your agent uses it
- The user wants to script WhatsApp as a linked companion device (like WhatsApp Web)
- Send a WhatsApp from Python
- Listen for inbound messages
Example prompts
- “whatsapp”
- “send whatsapp”
- “pair whatsapp”
- “/whatsapp”
Requirements
- Python 3
- A Bash shell
What it can do on your machine
Read from SKILL.md and the folder at commit 281d88d. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 2 files in scripts/ (Shell and Python), which the agent can run.
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):
pypi.org
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Whatsapp loads about 1.1k tokens when it runs, and up to ~3.7k if it reads all its reference files. Until then it costs about 138 tokens; SKILL.md has 314 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.
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); the scripts in this folder are not scanned.
SKILL.md
The full file from sanjay3290/ai-skills at commit 281d88d, republished under its Apache-2.0 licence (© sanjay3290). 314 words, ~1,060 tokens.
Download SKILL.mdSave it as
.claude/skills/whatsapp/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- description
- 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.
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 pairshows 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 listenprints 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
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| Command | Behavior |
|---|---|
pair | Fresh 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 |
listen | Long-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 workOverride 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.
© sanjay3290, Apache-2.0. 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 4 other files (scripts, references) in skills/whatsapp of sanjay3290/ai-skills.
- SKILL.md
- README.md
- references/api.md
- scripts/_bootstrap.sh
- scripts/wa.py
Open the folder on GitHubat commit 281d88d
Compare with similar skills
Whatsapp 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 |
|---|---|---|---|---|---|---|
| Whatsapp this skillsanjay3290/ai-skills | 431 | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | |
| Greenapi Client Pythongreen-api/whatsapp-api-client-python | 209 | — | ~3.3k | Automated safety check: Pass | MIT | |
| Whatsapp Cloud APIsickn33/agentic-awesome-skills | 47k | 2 repos | ~4.5k | Automated safety check: Pass | MIT | |
| Meta Adshoodini/ai-agents-skills | 282 | — | ~4.2k | Automated safety check: Notes | None | |
| Facebook Ads Library Searchbrowser-act/skills | 6.1k | — | ~2.3k | Automated safety check: Pass | MIT | |
| MCP Server Builderanthropics/skills | 180k | 63 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 |
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Related
Questions about Whatsapp
What does Whatsapp 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…. Whatsapp is an agent skill from sanjay3290/ai-skills. 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.
When should I use Whatsapp?
Whatsapp fits situations like: the user wants to script WhatsApp as a linked companion device (like WhatsApp Web); send a WhatsApp from Python; listen for inbound messages.
How do I install Whatsapp in Claude Code?
Run `npx skills add sanjay3290/ai-skills --skill whatsapp -a claude-code`. Or copy the skill folder (skills/whatsapp in sanjay3290/ai-skills) into .claude/skills/whatsapp in your project. Claude Code loads it when a task matches its description.
How do I install Whatsapp in Codex?
Run `npx skills add sanjay3290/ai-skills --skill whatsapp -a codex`. Or copy the skill folder (skills/whatsapp in sanjay3290/ai-skills) into .agents/skills/whatsapp in your project. Codex loads it when a task matches its description.
Can I use Whatsapp 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 sanjay3290/ai-skills --skill whatsapp -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/whatsapp, .gemini/skills/whatsapp, .github/skills/whatsapp and .opencode/skills/whatsapp in your project.
What does Whatsapp need to run?
Going by SKILL.md and its folder, Whatsapp needs a shell and Python for the scripts in its folder. Our summary lists: Python 3; A Bash shell.
Does Whatsapp access the network?
SKILL.md names 1 domain. As links in the text: pypi.org. This is read from the text; nothing was executed.
Is Whatsapp 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Whatsapp use?
Whatsapp is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Whatsapp use?
About 1.1k tokens (SKILL.md is roughly 4.2k 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 2.6k tokens, read only when the agent opens those files.
What are the alternatives to Whatsapp?
Skills that share tags, products or a category with Whatsapp: Greenapi Client Python (green-api/whatsapp-api-client-python, 209 stars), Whatsapp Cloud API (sickn33/agentic-awesome-skills, 47k stars), Meta Ads (hoodini/ai-agents-skills, 282 stars) and Facebook Ads Library Search (browser-act/skills, 6.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Whatsapp?
sanjay3290 (a GitHub user) maintains it in sanjay3290/ai-skills, which has 431 GitHub stars. The repository holds 24 skills in this directory. The repository was last updated on September 10, 2026.
Source: sanjay3290/ai-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.