
wechat-binding
WeChat binding: QR scan, bind, unbind, reconnect, status check. Use when setting up or repairing WeChat delivery (e.g. connect WeChat, scan QR, why isn't WeChat pushing, disconnect WeChat).
- Installs
- 2.2K
- Last 24h
- —
- Trending rank
- —
- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/starchild-ai-agent/official-skills --skill wechat-binding- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads wechat-binding automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
📱 WeChat Binding
Connect / reconnect / disconnect the user's WeChat account so the agent can push messages via send_to_wechat.
The wechat tool stays built-in. This SKILL.md is the reference doc.
See also
config/context/references/messaging-channels.md— how to actually send messages once boundskills/tg-bot-binding/SKILL.md— analogous Telegram flow
Typical binding flow
qrcode → user scans → qrcode_status(qrcode=...) → connect(bot_token=...)
- Generate QR:
wechat(action="qrcode")— saves an image to workspace, returnsqrcode(id) +file_path. - Show the QR to the user. On web channel: include the
file_pathso the frontend renders the image. On TG/WeChat channel: send the image viasend_to_telegramwith thefile_path. - Wait for the user to scan + confirm in WeChat. Don't auto-poll — let them say "scanned" / "done" first.
- Poll for completion:
wechat(action="qrcode_status", qrcode=<id from step 1>). Returnsbot_tokenonce scan + confirm completes. - Connect:
wechat(action="connect", bot_token=<from step 4>). Optional:ilink_bot_id,ilink_user_idif the user has multiple WeChat accounts. - Confirm to user: "WeChat connected. You can now push messages with send_to_wechat."
Actions
| action | required | purpose |
|---|---|---|
status | — | Current WeChat connection state. Use before reconnect, to verify binding. |
qrcode | — | Generate QR code image (saved to workspace). Returns qrcode id + file_path. |
qrcode_status | qrcode | Poll whether user has scanned + confirmed. Returns bot_token on success. |
connect | bot_token | Complete a NEW WeChat connection (after first-ever QR scan). Optional: ilink_bot_id, ilink_user_id. |
disconnect | — | Terminate current WeChat session (unlink). |
reconnect | bot_token | Re-establish a previously-bound WeChat (token from a fresh QR scan). |
connect vs. reconnect
connect— first-time binding. The user has NEVER bound this WeChat before.reconnect— the user was previously connected, the connection dropped (e.g. ilink session expired), and they just scanned a fresh QR.
When in doubt, call status first:
connected: false+ no prior history →connectconnected: false+ prior history exists →reconnect
Channel-aware QR display
| User channel | How to show the QR |
|---|---|
| Web | Include file_path in your reply — frontend renders it inline |
| Telegram | send_to_telegram(file_path=<qr_path>, message_type="photo") |
| (You can't — they're trying to bind WeChat in the first place. Tell them to open the web app.) |
Critical rules
- Don't auto-poll
qrcode_statusafterqrcode. Wait for user confirmation that they scanned + confirmed in WeChat. Auto-polling spams the upstream API. - Each
qrcodecall generates a fresh image. Don't re-use an oldqrcodeid with a new image — the upstream session is tied to the id. - Never paste
bot_tokenin chat. It's a credential. Once you have it fromqrcode_status, immediately pass it toconnect/reconnectand don't echo it back to the user. disconnectis destructive — confirm with the user before calling it.
FAQ
What does the wechat-binding skill do?
WeChat binding: QR scan, bind, unbind, reconnect, status check. Use when setting up or repairing WeChat delivery (e.g. connect WeChat, scan QR, why isn't WeChat pushing, disconnect WeChat).
How do I install wechat-binding?
Run npx skills add https://github.com/starchild-ai-agent/official-skills --skill wechat-binding in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/wechat-binding/ (personal) or .claude/skills/wechat-binding/ (project).
Which AI agents can use wechat-binding?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is wechat-binding safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains wechat-binding?
It is published by starchild-ai-agent in starchild-ai-agent/official-skills. It has 2,168 recorded installs.
More from starchild-ai-agent/official-skills
coinglass
starchild-ai-agent/official-skills
Crypto derivatives data: funding rates, open interest, liquidations, long/short ratios. Use when researching perp markets or comparing ETF flows (e.g. BTC funding, ETH OI). NOTE: platform API key is Startup tier — liquidation heatmap, coins-markets detail, liquidation order book and Hyperliquid positions require higher plans (see Plan Tiers).
wallet
starchild-ai-agent/official-skills
Multi-chain wallet: EVM and Solana balances, transfers, signing, and policy. Use when checking balances, sending tokens, signing typed data, or proposing a wallet policy (e.g. send 10 USDC on Base, sign EIP-712, Solana balance).
hyperliquid
starchild-ai-agent/official-skills
Trade perp futures, spot, and RWA on Hyperliquid DEX with up to asset max leverage. Use when placing perp or spot orders, setting TP/SL, or moving funds on Hyperliquid (e.g. long BTC 5x, sell ETH, deposit USDC, set stop).
coingecko
starchild-ai-agent/official-skills
Crypto spot prices, OHLC charts, market discovery, and global stats. Use when looking up coin prices, market caps, trending coins, sector rankings, or comparing tokens (e.g. BTC price, ETH chart, top gainers).
starchild-ai-agent/official-skills
Twitter/X data: fetch tweets, search, user profiles, followers, replies, trends. Use for any x.com or twitter.com URL or lookup (e.g. summarize this tweet, recent posts by @vitalikbuterin, search $SOL minfaves:50).
skill-creator
starchild-ai-agent/official-skills
Scaffold new skills with valid frontmatter, directory layout, and a starter SKILL.md. Use when building a new reusable workflow or wrapping a new API (e.g. create a kalshi skill, scaffold an API helper, start a charting skill).
Popular ai & agents skills
google-agents-cli-publish
google/agents-cli
This skill should be used when the user wants to "publish an agent", "publish my ADK agent", "register an agent with Gemini", "publish to Gemini" (formerly Gemini Enterprise), or needs guidance on the agents-cli publish gemini command. Also use when the user wants to "manage agents in Agent Registry", "list/update/delete registered agents", or "register an MCP server". Covers ADK vs A2A registration modes, programmatic and interactive usage, flag reference, auto-detection from deployment metadata, Agent Registry fleet management, and troubleshooting. Part of the agents-cli skills suite. Do NOT use for deployment (use google-agents-cli-deploy).
google-agents-cli-eval
google/agents-cli
This skill should be used when the user wants to "run an evaluation", "evaluate my agent", "evaluate my ADK agent", "write an eval dataset", "analyze eval failures", "compare eval results", "optimize agent", or needs guidance on the Gemini platform eval methodology and the Quality Flywheel. Covers eval metrics, dataset schema, LLM-as-judge scoring, and common failure causes. Applies to any agents-cli project, whatever framework the agent is written in. Do NOT use for agent API code patterns (ADK: use google-agents-cli-adk-code), deployment (use google-agents-cli-deploy), or project scaffolding (use google-agents-cli-scaffold).
skill-creator
anthropics/skills
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
codex-pet
prime-skills/runcomfy-agent-skills
Codex Pet generator on RunComfy. Build a Codex-compatible Codex Pet spritesheet.webp + pet.json from a single reference image, drop it into ${CODEXHOME:-$HOME/.codex}/pets/ / and Codex picks it up as a custom Codex Pet next to the 8 built-ins. This skill produces the exact Codex Pet atlas Codex expects (1536x1872 PNG/WebP, 8 cols x 9 rows, 192x208 cells, 9 animation states — idle, running-right, running-left, waving, jumping, failed, waiting, running, review). Calls OpenAI GPT Image 2 edit ONCE via the local RunComfy CLI as runcomfy run openai/gpt-image-2/edit to produce a canonical Codex Pet pose, then assembles all 9 animation rows programmatically with ImageMagick micro-transforms — no Codex Pro, no $imagegen, no OPENAIAPIKEY required, only RUNCOMFYTOKEN. Triggers on "codex pet", "create codex pet", "make codex pet", "hatch codex pet", "/hatch image", "desktop pet codex", "codex pets", "spritesheet.webp", or any explicit ask to build a custom pet for OpenAI Codex.
full-output-enforcement
leonxlnx/taste-skill
Overrides default LLM truncation behavior. Enforces complete code generation, bans placeholder patterns, and handles token-limit splits cleanly. Apply to any task requiring exhaustive, unabridged output.
executing-plans
obra/superpowers
Use when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool is available