Frontmcp Deployment
agentfront/frontmcp
A skill your agent uses when deploying, building for production, packaging, or shipping a FrontMCP server.
CloudBase CLI (tcb, 云开发CLI, Tencent CloudBase命令行) resource management skill.
$ npx skills add TencentCloudBase/CloudBase-AI-Toolkit --skill cloudbase-cli -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install TencentCloudBase/CloudBase-AI-Toolkit cloudbase-cli --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-cli .claude/skills/cloudbase-cli && 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-cli" agent skill from https://github.com/TencentCloudBase/CloudBase-AI-Toolkit/tree/main/config/source/skills/cloudbase-cli into .claude/skills/cloudbase-cli/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cloudbase-cli", 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-cliType 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-cli -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install TencentCloudBase/CloudBase-AI-Toolkit cloudbase-cli --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-cli .agents/skills/cloudbase-cli && 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-cli" agent skill from https://github.com/TencentCloudBase/CloudBase-AI-Toolkit/tree/main/config/source/skills/cloudbase-cli into .agents/skills/cloudbase-cli/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cloudbase-cli", 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-cli -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install TencentCloudBase/CloudBase-AI-Toolkit cloudbase-cli --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-cli .cursor/skills/cloudbase-cli && 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-cli" agent skill from https://github.com/TencentCloudBase/CloudBase-AI-Toolkit/tree/main/config/source/skills/cloudbase-cli into .cursor/skills/cloudbase-cli/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cloudbase-cli", 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-cli--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-cli -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install TencentCloudBase/CloudBase-AI-Toolkit cloudbase-cli --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-cli .gemini/skills/cloudbase-cli && 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-cli" agent skill from https://github.com/TencentCloudBase/CloudBase-AI-Toolkit/tree/main/config/source/skills/cloudbase-cli into .gemini/skills/cloudbase-cli/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cloudbase-cli", 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-cliInstalls 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-cli -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-cli .github/skills/cloudbase-cli && 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-cli" agent skill from https://github.com/TencentCloudBase/CloudBase-AI-Toolkit/tree/main/config/source/skills/cloudbase-cli into .github/skills/cloudbase-cli/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cloudbase-cli", 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-cli -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-cli --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-cli .opencode/skills/cloudbase-cli && 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-cli" agent skill from https://github.com/TencentCloudBase/CloudBase-AI-Toolkit/tree/main/config/source/skills/cloudbase-cli into .opencode/skills/cloudbase-cli/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cloudbase-cli", 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.
cloudbase-cliCloudBase CLI (tcb, 云开发CLI, Tencent CloudBase命令行) resource management skill.
Cloudbase CLI is an agent skill from TencentCloudBase/CloudBase-AI-Toolkit. CloudBase CLI (tcb, 云开发CLI, Tencent CloudBase命令行) resource management skill. Use when deploying cloud functions, CloudRun, storage, NoSQL/MySQL, static hosting, permissions, CORS/domains via tcb; for CI/CD and batch ops; when the user prefers CLI; or as the first-session fallback when CloudBase MCP tools are not loaded yet (after install/config, before IDE restart). Covers tcb login (device code for Tencent Cloud accounts; --cloudbase-api-key -e for environment API Key without an account; --apiKeyId/--apiKey for…
Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 11 other files, including reference files (for example `references/access.md`, `references/app.md` and `references/cloudrun.md`).
It sits in Databases, covering Deployment, MCP servers and Serverless. It works with Model Context Protocol, Tencent Cloud and MySQL. The repository describes itself as: Backend for AI coding agents on CloudBase — database, auth, functions via Plugin, Skills & MCP. The licence is MIT.
8 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit ea2c202. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Cloudbase CLI loads about 1.7k tokens when it runs, and up to ~29k if it reads all its reference files. Until then it costs about 159 tokens; SKILL.md has 745 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.
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.
The full file from TencentCloudBase/CloudBase-AI-Toolkit at commit ea2c202, republished under its MIT licence (© TencentCloudBase). 745 words, ~1,728 tokens.
.claude/skills/cloudbase-cli/SKILL.md (or your agent's skills folder). This skill also uses 10 other files; get the full folder from GitHub.Manage CloudBase resources via tcb CLI — deterministic, scriptable, auditable.
Primary interface for CI/CD and batch ops; also the first-session fallback when MCP tools are not yet available in the conversation.
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.
Cross-cutting protocols (required before code changes or deployments):
../cloudbase-platform/references/protocols/change-safety-protocol.md../cloudbase-platform/references/protocols/deployment-gate.md../cloudbase/references/tooling-fallback.md (packaged beside this skill as the cloudbase entry guideline)--help first — never guess commands.
tcb CLI changes between versions. Before using any command for the first time,
run tcb <command> --help to check parameters and discover official doc links.
Deployment Gate.
Before any deployment, publish, custom domain, or CloudRun operation, you must first complete the checks in cloudbase-platform/references/protocols/deployment-gate.md.
Verify your work. After deploying or modifying any resource, run the corresponding list/detail command to confirm the change took effect.
Dry-run before destructive actions.
Use --dry-run for delete/overwrite operations. Show the preview to the user
and wait for explicit confirmation before executing.
Confirm environment first.
Always verify envId with the user before operations. Run tcb env use <envId>
to avoid accidentally modifying production.
Recover from errors, don't loop.
If a command fails after 2-3 attempts, check the exit code ($?), read the
error message, consult tcb docs search, and try a different approach.
First-session fallback, not MCP replacement.
If CloudBase MCP tools are missing in this session, use this skill to unblock
login/manage. Still configure MCP (plugin / mcp.json) so the next session
can prefer MCP. When MCP tools are already available, prefer MCP unless the
user asked for CLI/CI. Route deploy work through the domain reference table
below — do not recommend tcb deploy.
No npm/npx.
If Node/npm/npx are missing, tell the user to install Node.js LTS (or use the
IDE marketplace MCP path) before retrying CLI/plugin install. See guideline
tooling-fallback.md.
Use when the user wants to manage CloudBase resources via command line, or when MCP is not usable yet:
tcb login + the matching domain command now; leave MCP ready for next sessiontcb deploy)cloud-functions,
cloudbase-document-database-web-sdk, auth-web-cloudbase, etc.cloudbase-agent-tsreferences/core.md first — it covers authentication,
environment switching, tcb docs queries, and error diagnosis.cloud-functions, cloudbase-document-database-web-sdk) instead.| User Task | Read |
|---|---|
| Login, env switching, tcb docs, error diagnosis | references/core.md |
| Deploy/debug cloud functions | references/functions.md |
| Deploy static site / SPA (preferred CLI web path) | references/hosting.md |
| Deploy CloudRun service | references/cloudrun.md |
Experimental all-in-one web shorthand (tcb deploy) — avoid unless user explicitly asks | references/app.md |
| Upload/download files, ACL rules | references/storage.md |
| NoSQL (MongoDB) database operations | references/nosql.md |
| MySQL database operations | references/mysql.md |
| Roles, policies, access control | references/permission.md |
| CORS, custom domains, routing rules | references/access.md |
tcb login → confirm envId with user → tcb env use <envId>tcb <command> --help to verify syntax--dry-run for destructive ops)list / detail commandreferences/core.md before any domain module?--help for unfamiliar commands?--dry-run before destructive operations?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
SKILL.md and 10 other files (references) in config/source/skills/cloudbase-cli of TencentCloudBase/CloudBase-AI-Toolkit.
Open the folder on GitHubat commit ea2c202
We found 4 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in TencentCloudBase/CloudBase-AI-Toolkit, which our catalogue first saw on October 7, 2026.
Cloudbase CLI 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 CLI this skillTencentCloudBase/CloudBase-AI-Toolkit | 1.1k | 1 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Frontmcp Deploymentagentfront/frontmcp | 146 | — | ~9.2k | Automated safety check: Notes | Apache-2.0 | |
| CloudbaseLeoYeAI/openclaw-master-skills | 2.2k | 1 repos | ~4.7k | Automated safety check: Pass | MIT | |
| AWS Cdk Developmentzxkane/aws-skills | 367 | 2 repos | ~2.5k | Automated safety check: Pass | MIT | |
| Mindsdb MCP SkillLeoYeAI/openclaw-master-skills | 2.2k | — | ~2.5k | Automated safety check: Pass | MIT | |
| Aurora Dsqlaws/agent-toolkit-for-aws | 2.8k | — | ~9.6k | Automated safety check: Pass | Apache-2.0 |
agentfront/frontmcp
A skill your agent uses when deploying, building for production, packaging, or shipping a FrontMCP server.
LeoYeAI/openclaw-master-skills
CloudBase is a full-stack development and deployment toolkit for building and launching websites, Web apps, 微信小程序 (WeChat Mini Programs), and mobile apps with backend, database, hosting, cloud…
zxkane/aws-skills
AWS Cloud Development Kit (CDK) expert for building cloud infrastructure with TypeScript/Python.
LeoYeAI/openclaw-master-skills
MindsDB MCP服务器交互技能,用于通过自然语言查询和操作200+企业级数据源。当用户需要查询数据库、分析数据、创建AI模型、连接数据源(MySQL、PostgreSQL、MongoDB、Excel、CSV、Gmail、Slack等)、执行SQL查询、进行数据预测、构建知识库(RAG)、智能问答、文档检索或任何与数据库交互的任务时使用此技能。即使没有明确提到MindsDB,只要涉及数据库操…
aws/agent-toolkit-for-aws
Provisions and manages Aurora DSQL clusters, connects via psql or DSQL Connectors, manages schemas, runs queries, migrates from MySQL, diagnoses query plans, and develops apps on serverless…
zxkane/aws-skills
AWS Bedrock AgentCore comprehensive expert for deploying and managing AI agents at scale.
TencentCloudBase/CloudBase-AI-Toolkit
A skill your agent uses for Node.js backend AI via @cloudbase/node-sdk (=3.16.0) — cloud functions, CloudRun, Express/Koa/NestJS, serverless APIs, scheduled jobs, LLM proxies, agent orchestration.
TencentCloudBase/CloudBase-AI-Toolkit
CloudBase official HTTP API client guide. An agent skill from TencentCloudBase/CloudBase-AI-Toolkit.
TencentCloudBase/CloudBase-AI-Toolkit
Author or revise a cloud-api-operations recipe (config/source/skills/cloud-api-operations/references/recipes/).
TencentCloudBase/CloudBase-AI-Toolkit
Analyze, standardize, validate, and sync locally maintained skills into agent skill directories with a skills CLI-aligned workflow.
TencentCloudBase/CloudBase-AI-Toolkit
Build production-ready AI agent backends using the CloudBase Agent Python SDK — create agents with LangGraph/CrewAI/LlamaIndex, serve them via FastAPI with AG-UI protocol streaming +…
TencentCloudBase/CloudBase-AI-Toolkit
A skill your agent uses when you develop, design, build, deploy, debug, migrate, or troubleshoot CloudBase (腾讯云开发, 云开发, TCB, 微信云开发) projects — Web, 微信小程序, 小程序, uni-app, mobile (iOS, Android…
Works with
Categories
CloudBase CLI (tcb, 云开发CLI, Tencent CloudBase命令行) resource management skill. Cloudbase CLI is an agent skill from TencentCloudBase/CloudBase-AI-Toolkit. CloudBase CLI (tcb, 云开发CLI, Tencent CloudBase命令行) resource management skill.
Cloudbase CLI fits situations like: deploying cloud functions; CORS/domains via tcb; for CI/CD and batch ops; the user prefers CLI.
Run `npx skills add TencentCloudBase/CloudBase-AI-Toolkit --skill cloudbase-cli -a claude-code`. Or copy the skill folder (config/source/skills/cloudbase-cli in TencentCloudBase/CloudBase-AI-Toolkit) into .claude/skills/cloudbase-cli in your project. Claude Code loads it when a task matches its description.
Run `npx skills add TencentCloudBase/CloudBase-AI-Toolkit --skill cloudbase-cli -a codex`. Or copy the skill folder (config/source/skills/cloudbase-cli in TencentCloudBase/CloudBase-AI-Toolkit) into .agents/skills/cloudbase-cli in your project. Codex loads it when a task matches its description.
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-cli -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-cli, .gemini/skills/cloudbase-cli, .github/skills/cloudbase-cli and .opencode/skills/cloudbase-cli in your project.
SKILL.md names no scripts, command-line tools or credentials: Cloudbase CLI is instructions for the agent only. Our summary lists: Node.js.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
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.
Cloudbase CLI is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.7k tokens (SKILL.md is roughly 6.9k 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 27k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Cloudbase CLI: Frontmcp Deployment (agentfront/frontmcp, 146 stars), Cloudbase (LeoYeAI/openclaw-master-skills, 2.2k stars), AWS Cdk Development (zxkane/aws-skills, 367 stars) and Mindsdb MCP Skill (LeoYeAI/openclaw-master-skills, 2.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
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.