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.
npx skills add https://github.com/sanjay3290/ai-skills --skill whatsapp
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).
wa.py pair shows an ASCII QR; scan it inWhatsApp → Linked Devices. Credentials persist to
$PYWHATS_HOME/<session>.session (+ .signal.db).
15550001234 → [email protected];groups use [email protected].
wa.py listen prints one JSON object per event.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.
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 [email protected] # group metadata JSON
scripts/wa.py group-send [email protected] "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.
$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).
references/api.md — every Client method, every event
payload, JID construction, and the download_media note.
Python library for working with DICOM (Digital Imaging and Communications in Medicine) files. Use this skill when reading, writing, or modifying medical imaging data in DICOM format, extracting pixel data from medical images (CT, MRI, X-ray, ultrasound), anonymizing DICOM files, working with DICOM metadata and tags, converting DICOM images to other formats, handling compressed DICOM data, or processing medical imaging datasets. Applies to tasks involving medical image analysis, PACS systems, radiology workflows, and healthcare imaging applications.
Python library for working with DICOM (Digital Imaging and Communications in Medicine) files. Use this skill when reading, writing, or modifying medical imaging data in DICOM format, extracting pixel data from medical images (CT, MRI, X-ray, ultrasound), anonymizing DICOM files, working with DICOM metadata and tags, converting DICOM images to other formats, handling compressed DICOM data, or processing medical imaging datasets. Applies to tasks involving medical image analysis, PACS systems, radiology workflows, and healthcare imaging applications.
Best practices for Remotion - Video creation in React
Generate AI-powered podcast-style audio narratives using Azure OpenAI's GPT Realtime Mini model via WebSocket. Use when building text-to-speech features, audio narrative generation, podcast creation from content, or integrating with Azure OpenAI Realtime API for real audio output. Covers full-stack implementation from React frontend to Python FastAPI backend with WebSocket streaming.
Best practices for Remotion - Video creation in React
Port an existing Remotion (React) composition''s source to HyperFrames HTML. Use ONLY on an explicit ask to port/convert/migrate/translate a Remotion source — one-way, Remotion-only. A passing Remotion mention, reference-only code, or "make something like my Remotion video" is a fresh build (/general-video). Unclear → /hyperframes.
Use this skill when building applications with Gemini API hosted models, including Gemini and Gemma 4, working with multimodal content (text, images, audio, video), implementing function calling, using structured outputs, or needing current model specifications. Covers SDK usage...
Turn error logs, screenshots, voice notes, and rough bug reports into crisp, developer-ready GitHub issues with repro steps, impact, and evidence.
Take sanjay3290/whatsapp from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.
The instructions reference pip.
Without those the skill loads but fails at the first command.