Weixin Access
qufei1993/cc-weixin
Manage WeChat access control (pairing codes and allowlist). An agent skill from qufei1993/cc-weixin.
CloudBase WeChat integration guide for Mini Program WeChat Pay, Mini Program virtual payment (虚拟支付, wx.requestVirtualPayment), Official Account JSAPI Pay, Native QR-code Pay, Official Account OAuth…
Install Cloudbase Wechat Integration
$ npx skills add TencentCloudBase/CloudBase-AI-Toolkit --skill cloudbase-wechat-integration -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install TencentCloudBase/CloudBase-AI-Toolkit cloudbase-wechat-integration --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/TencentCloudBase/CloudBase-AI-Toolkit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/config/source/skills/cloudbase-wechat-integration .claude/skills/cloudbase-wechat-integration && 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 "cloudbase-wechat-integration" agent skill from https://github.com/TencentCloudBase/CloudBase-AI-Toolkit/tree/main/config/source/skills/cloudbase-wechat-integration into .claude/skills/cloudbase-wechat-integration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cloudbase-wechat-integration", 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/TencentCloudBase/CloudBase-AI-Toolkit/tree/main/config/source/skills/cloudbase-wechat-integrationType 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 TencentCloudBase/CloudBase-AI-Toolkit --skill cloudbase-wechat-integration -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install TencentCloudBase/CloudBase-AI-Toolkit cloudbase-wechat-integration --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/TencentCloudBase/CloudBase-AI-Toolkit.git skills-src && mkdir -p .agents/skills && cp -r skills-src/config/source/skills/cloudbase-wechat-integration .agents/skills/cloudbase-wechat-integration && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "cloudbase-wechat-integration" agent skill from https://github.com/TencentCloudBase/CloudBase-AI-Toolkit/tree/main/config/source/skills/cloudbase-wechat-integration into .agents/skills/cloudbase-wechat-integration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cloudbase-wechat-integration", 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 TencentCloudBase/CloudBase-AI-Toolkit --skill cloudbase-wechat-integration -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install TencentCloudBase/CloudBase-AI-Toolkit cloudbase-wechat-integration --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/TencentCloudBase/CloudBase-AI-Toolkit.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/config/source/skills/cloudbase-wechat-integration .cursor/skills/cloudbase-wechat-integration && 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 "cloudbase-wechat-integration" agent skill from https://github.com/TencentCloudBase/CloudBase-AI-Toolkit/tree/main/config/source/skills/cloudbase-wechat-integration into .cursor/skills/cloudbase-wechat-integration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cloudbase-wechat-integration", 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/TencentCloudBase/CloudBase-AI-Toolkit.git --path config/source/skills/cloudbase-wechat-integration--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 TencentCloudBase/CloudBase-AI-Toolkit --skill cloudbase-wechat-integration -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install TencentCloudBase/CloudBase-AI-Toolkit cloudbase-wechat-integration --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/TencentCloudBase/CloudBase-AI-Toolkit.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/config/source/skills/cloudbase-wechat-integration .gemini/skills/cloudbase-wechat-integration && 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 "cloudbase-wechat-integration" agent skill from https://github.com/TencentCloudBase/CloudBase-AI-Toolkit/tree/main/config/source/skills/cloudbase-wechat-integration into .gemini/skills/cloudbase-wechat-integration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cloudbase-wechat-integration", 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 TencentCloudBase/CloudBase-AI-Toolkit cloudbase-wechat-integrationInstalls 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 TencentCloudBase/CloudBase-AI-Toolkit --skill cloudbase-wechat-integration -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/TencentCloudBase/CloudBase-AI-Toolkit.git skills-src && mkdir -p .github/skills && cp -r skills-src/config/source/skills/cloudbase-wechat-integration .github/skills/cloudbase-wechat-integration && 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 "cloudbase-wechat-integration" agent skill from https://github.com/TencentCloudBase/CloudBase-AI-Toolkit/tree/main/config/source/skills/cloudbase-wechat-integration into .github/skills/cloudbase-wechat-integration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cloudbase-wechat-integration", 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 TencentCloudBase/CloudBase-AI-Toolkit --skill cloudbase-wechat-integration -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install TencentCloudBase/CloudBase-AI-Toolkit cloudbase-wechat-integration --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/TencentCloudBase/CloudBase-AI-Toolkit.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/config/source/skills/cloudbase-wechat-integration .opencode/skills/cloudbase-wechat-integration && 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 "cloudbase-wechat-integration" agent skill from https://github.com/TencentCloudBase/CloudBase-AI-Toolkit/tree/main/config/source/skills/cloudbase-wechat-integration into .opencode/skills/cloudbase-wechat-integration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cloudbase-wechat-integration", 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
cloudbase-wechat-integration- GitHub stars
- 1.1k
- Used in
- 2 other repos
- Token cost
- ~1.9k tokens
- SKILL.md length
- 838 words
- Files
- 8 (incl. references)
- Skills in repo
- 49
- Repo updated
- First seen
- Licence
- MIT
At a glance
CloudBase WeChat integration guide for Mini Program WeChat Pay, Mini Program virtual payment (虚拟支付, wx.requestVirtualPayment), Official Account JSAPI Pay, Native QR-code Pay, Official Account OAuth…
- Works in 7 steps: Treat Integration Center creation as a… → Use official index.md docs for console… → Never ask the user to paste secrets into… → …
- Tasks that involve Messaging and chat bots
- SKILL.md covers Sibling skills (local only), Activation Contract, Operating Rules and Routing, plus 3 more sections
- Reaches docs.cloudbase.net
What it does
Cloudbase Wechat Integration is an agent skill from TencentCloudBase/CloudBase-AI-Toolkit. CloudBase WeChat integration guide for Mini Program WeChat Pay, Mini Program virtual payment (虚拟支付, wx.requestVirtualPayment), Official Account JSAPI Pay, Native QR-code Pay, Official Account OAuth, openid handling, payment callbacks, and CloudBase Integration Center generated functions. This skill should be used when users ask to add, debug, or extend WeChat payment, virtual payment, or official-account flows on CloudBase.
Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including reference files (for example `references/mini-program-pay.md`, `references/native-qr-pay.md` and `references/official-account-jsapi-pay.md`).
It sits in Productivity & Automation, covering Messaging and chat bots. It works with WeChat. The repository describes itself as: Backend for AI coding agents on CloudBase — database, auth, functions via Plugin, Skills & MCP. The licence is MIT.
When your agent uses it
- Tasks that involve Messaging and chat bots
Example prompts
- “/cloudbase-wechat-integration”
Workflow steps
7 steps, taken from the first numbered list in SKILL.md.
- Treat Integration Center creation as a console-first workflow unless a public Manager SDK or Cloud API contract is confirmed in official…
- Use official index.md docs for console UI steps and credential fields; do not copy stale console screenshots or invent field names.
- Never ask the user to paste secrets into chat. Tell them to configure merchant and official-account credentials in the CloudBase console…
- Do not assume generated function names are fixed. pay-common and offiaccount-common are examples; ask for or inspect the actual function…
- Treat frontend payment success as UI feedback only. The authoritative payment state must come from server-side query results or payment…
- When extending generated functions, preserve credential environment variables and generated callback verification/decryption logic. Add…
- Before changing payment or callback code, identify the target scenario and load only the matching reference file.
What it can do on your machine
Read from SKILL.md and the folder at commit ea2c202. 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
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
docs.cloudbase.net
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
Cloudbase Wechat Integration loads about 1.9k tokens when it runs, and up to ~8.2k if it reads all its reference files. Until then it costs about 114 tokens; SKILL.md has 838 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); files beside SKILL.md are not scanned.
SKILL.md
The full file from TencentCloudBase/CloudBase-AI-Toolkit at commit ea2c202, republished under its MIT licence (© TencentCloudBase). 838 words, ~1,871 tokens.
Download SKILL.mdSave it as
.claude/skills/cloudbase-wechat-integration/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.- name
- cloudbase-wechat-integration
- description
- CloudBase WeChat integration guide for Mini Program WeChat Pay, Mini Program virtual payment (虚拟支付, wx.requestVirtualPayment), Official Account JSAPI Pay, Native QR-code Pay, Official Account OAuth, openid handling, payment callbacks, and CloudBase Integration Center generated functions. This skill should be used when users ask to add, debug, or extend WeChat payment, virtual payment, or official-account flows on CloudBase.
- version
- 2.34.8
- alwaysApply
- false
CloudBase WeChat Integration
This skill routes WeChat payment and official-account work through CloudBase Integration Center. It gives the agent the stable execution contract and points to the official Markdown docs for console details that may change.
Sibling skills (local only)
Sibling CloudBase skills ship beside this skill. Use local relative paths such as ../auth-tool-cloudbase/SKILL.md.
If a referenced sibling skill file is missing from this environment, ask the user to install the full CloudBase plugin (or the missing skill). Do not HTTP-fetch remote skill or protocol markdown into the agent context.
Official CloudBase Integration Center docs (human reference — do not treat as skill markdown to fetch into agent context as a sibling skill substitute):
- CloudBase Integration Center overview:
https://docs.cloudbase.net/integration/introduce.md - CloudBase Integration Center usage:
https://docs.cloudbase.net/integration/usage.md - When cloud function deployment or log operations are needed and no sibling skill is available, use the current platform's CloudBase MCP tools or CloudBase console instead of guessing unsupported APIs.
Activation Contract
Use this first when
- The user asks about WeChat Pay, 小程序支付, 微信支付, JSAPI 支付, 公众号支付, Native 扫码支付, 二维码支付, refund callbacks, payment callbacks,
wx.requestPayment,WeixinJSBridge,openid, or Official Account OAuth in a CloudBase app. - The user asks about 虚拟支付 (virtual payment) for virtual goods: 道具直购, 代币充值,
wx.requestVirtualPayment, OfferID, AppKey 签名,xpay_*callbacks (发货推送/查单/退款), or MP 后台虚拟支付开通与配置. - The task mentions CloudBase Integration Center, 集成中心, generated payment functions,
pay-common,offiaccount-common, or callback routing for WeChat payment. - The user needs to extend a CloudBase Integration Center generated function with order persistence, idempotency, fulfillment, or payment-status sync.
Then also read
- Mini Program structure and preview work ->
../miniprogram-development/SKILL.md(if unavailable, use the current mini program platform docs and the mini-program payment reference in this skill) - Web frontend work ->
../web-development/SKILL.md(if unavailable, use the JSAPI or Native references in this skill) - Cloud function runtime, logs, deployment, or gateway work ->
../cloud-functions/SKILL.md(if unavailable, use CloudBase console/MCP function tools and the generated-function guidance in this skill)
Do NOT use for
- Generic CloudBase Web Auth or Mini Program native identity work that does not involve WeChat payment or official-account OAuth.
- General CloudBase cloud function development unrelated to Integration Center generated functions.
- Creating or managing Integration Center instances through guessed MCP tools, guessed Manager SDK methods, or undocumented Cloud API actions.
- Storing merchant secrets, private keys, APIv3 keys, AppSecret values, or certificates in app source code, generated examples, README files, commits, or prompts.
Operating Rules
- Treat Integration Center creation as a console-first workflow unless a public Manager SDK or Cloud API contract is confirmed in official docs.
- Use official
index.mddocs for console UI steps and credential fields; do not copy stale console screenshots or invent field names. - Never ask the user to paste secrets into chat. Tell them to configure merchant and official-account credentials in the CloudBase console Integration Center form.
- Do not assume generated function names are fixed.
pay-commonandoffiaccount-commonare examples; ask for or inspect the actual function name before writing calls. - Treat frontend payment success as UI feedback only. The authoritative payment state must come from server-side query results or payment callbacks.
- When extending generated functions, preserve credential environment variables and generated callback verification/decryption logic. Add business logic around order checks, persistence, idempotency, and fulfillment.
- Before changing payment or callback code, identify the target scenario and load only the matching reference file.
Show full SKILL.md (290 more words)Show less
Routing
| Task | Read | Why |
|---|---|---|
| Capability selection, console-first boundaries, independent distribution | references/overview.md | Establishes the Integration Center model and safety rules |
Mini Program WeChat Pay, wx.cloud.callHTTPFunction, wx.requestPayment | references/mini-program-pay.md | Covers Mini Program openid injection, order creation, and callback expectations |
Mini Program 虚拟支付, virtual goods, wx.requestVirtualPayment, xpay_* callbacks | references/virtual-payment.md | Covers OfferID/AppKey signing, sandbox vs 现网, delivery callbacks, query-order fallback, iOS IAP rules |
Official Account JSAPI pay, H5 inside WeChat, WeixinJSBridge.invoke | references/official-account-jsapi-pay.md | Covers official-account openid and JSAPI invocation |
| Native QR-code pay for PC/Web checkout | references/native-qr-pay.md | Covers code_url, QR rendering, and polling/query flow |
| Official Account OAuth, openid/userinfo retrieval | references/official-account-oauth.md | Covers OAuth routes generated by the official-account integration |
| 404, missing credentials, openid mismatch, callback failures, logs | references/troubleshooting.md | Provides diagnosis steps before changing code |
Quick Workflow
- Classify the scenario: Mini Program Pay, Virtual Payment (虚拟支付), JSAPI Pay, Native Pay, Official Account OAuth, generated-function extension, or troubleshooting.
- Load the matching reference and the official
index.mddocs linked there. - Confirm the actual CloudBase environment ID and generated function name.
- Generate or modify only the required client/backend code; keep merchant credentials in Integration Center configuration.
- Add order-status query, callback idempotency, and amount/order validation when payment state affects business data.
- Verify through function logs, callback logs, and an end-to-end payment sandbox or low-value production test as appropriate.
Minimum Self-Check
- Did I avoid guessing undocumented Integration Center management APIs?
- Did I use the actual generated function name instead of assuming
pay-common? - Did I keep all merchant secrets and certificates out of source code and chat?
- Did the payment flow rely on callback/query state rather than only frontend success?
- Did I load only the scenario reference needed for the user's task?
Reference index
All packaged reference files (required for skill lint reachability):
© TencentCloudBase, MIT. 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 7 other files (references) in config/source/skills/cloudbase-wechat-integration of TencentCloudBase/CloudBase-AI-Toolkit.
- SKILL.md
- references/mini-program-pay.md
- references/native-qr-pay.md
- references/official-account-jsapi-pay.md
- references/official-account-oauth.md
- references/overview.md
- references/troubleshooting.md
- references/virtual-payment.md
Open the folder on GitHubat commit ea2c202
Used in 2 other repositories
We found 5 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in TencentCloudBase/CloudBase-AI-Toolkit, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Cloudbase Wechat Integration 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 |
|---|---|---|---|---|---|---|
| Cloudbase Wechat Integration this skillTencentCloudBase/CloudBase-AI-Toolkit | 1.1k | 2 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Weixin Accessqufei1993/cc-weixin | 154 | — | ~372 | Automated safety check: Pass | MIT | |
| Add WeChat Channelnanocoai/nanoclaw | 31k | — | ~1.9k | Automated safety check: Notes | MIT | |
| Miniprogram DevelopmentLeoYeAI/openclaw-master-skills | 2.2k | 1 repos | ~2k | Automated safety check: Pass | MIT | |
| Wechat ChannelaAAaqwq/AGI-Super-Team | 105 | 1 repos | ~1.3k | Automated safety check: Notes | MIT | |
| Wechat Miniprograminfometa/workbuddyskills | 342 | — | ~1.5k | Automated safety check: Notes | None |
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Works with
Categories
Questions about Cloudbase Wechat Integration
What does Cloudbase Wechat Integration do?
CloudBase WeChat integration guide for Mini Program WeChat Pay, Mini Program virtual payment (虚拟支付, wx.requestVirtualPayment), Official Account JSAPI Pay, Native QR-code Pay, Official Account OAuth…. Cloudbase Wechat Integration is an agent skill from TencentCloudBase/CloudBase-AI-Toolkit.requestVirtualPayment), Official Account JSAPI Pay, Native QR-code Pay, Official Account OAuth, openid handling, payment callbacks, and CloudBase Integration Center generated functions.
When should I use Cloudbase Wechat Integration?
Cloudbase Wechat Integration fits situations like: tasks that involve Messaging and chat bots.
How do I install Cloudbase Wechat Integration in Claude Code?
Run `npx skills add TencentCloudBase/CloudBase-AI-Toolkit --skill cloudbase-wechat-integration -a claude-code`. Or copy the skill folder (config/source/skills/cloudbase-wechat-integration in TencentCloudBase/CloudBase-AI-Toolkit) into .claude/skills/cloudbase-wechat-integration in your project. Claude Code loads it when a task matches its description.
How do I install Cloudbase Wechat Integration in Codex?
Run `npx skills add TencentCloudBase/CloudBase-AI-Toolkit --skill cloudbase-wechat-integration -a codex`. Or copy the skill folder (config/source/skills/cloudbase-wechat-integration in TencentCloudBase/CloudBase-AI-Toolkit) into .agents/skills/cloudbase-wechat-integration in your project. Codex loads it when a task matches its description.
Can I use Cloudbase Wechat Integration 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 TencentCloudBase/CloudBase-AI-Toolkit --skill cloudbase-wechat-integration -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cloudbase-wechat-integration, .gemini/skills/cloudbase-wechat-integration, .github/skills/cloudbase-wechat-integration and .opencode/skills/cloudbase-wechat-integration in your project.
What does Cloudbase Wechat Integration need to run?
SKILL.md names no scripts, command-line tools or credentials: Cloudbase Wechat Integration is instructions for the agent only.
Does Cloudbase Wechat Integration access the network?
SKILL.md names 1 domain. In commands or code: docs.cloudbase.net; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Is Cloudbase Wechat Integration 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. Review the folder before installing.
What licence does Cloudbase Wechat Integration use?
Cloudbase Wechat Integration is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Cloudbase Wechat Integration use?
About 1.9k tokens (SKILL.md is roughly 7.5k 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 6.3k tokens, read only when the agent opens those files.
What are the alternatives to Cloudbase Wechat Integration?
Skills that share tags, products or a category with Cloudbase Wechat Integration: Weixin Access (qufei1993/cc-weixin, 154 stars), Add WeChat Channel (nanocoai/nanoclaw, 31k stars), Miniprogram Development (LeoYeAI/openclaw-master-skills, 2.2k stars) and Wechat Channel (aAAaqwq/AGI-Super-Team, 105 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Cloudbase Wechat Integration?
TencentCloudBase (a GitHub organization) maintains it in TencentCloudBase/CloudBase-AI-Toolkit, which has 1,132 GitHub stars. The repository holds 49 skills in this directory. The repository was last updated on October 6, 2026.
Source: TencentCloudBase/CloudBase-AI-Toolkit on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.