Add Example Agent
GetBindu/Bindu
Add a new self-contained example agent under examples/. An agent skill from GetBindu/Bindu.
Build and deploy AI agents with CloudBase Agent SDK (TypeScript & Python).
$ npx skills add TencentCloudBase/CloudBase-AI-Toolkit --skill cloudbase-agent -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install TencentCloudBase/CloudBase-AI-Toolkit cloudbase-agent --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-agent .claude/skills/cloudbase-agent && 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-agent" agent skill from https://github.com/TencentCloudBase/CloudBase-AI-Toolkit/tree/main/config/source/skills/cloudbase-agent into .claude/skills/cloudbase-agent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cloudbase-agent", 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-agentType 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-agent -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install TencentCloudBase/CloudBase-AI-Toolkit cloudbase-agent --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-agent .agents/skills/cloudbase-agent && 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-agent" agent skill from https://github.com/TencentCloudBase/CloudBase-AI-Toolkit/tree/main/config/source/skills/cloudbase-agent into .agents/skills/cloudbase-agent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cloudbase-agent", 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-agent -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install TencentCloudBase/CloudBase-AI-Toolkit cloudbase-agent --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-agent .cursor/skills/cloudbase-agent && 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-agent" agent skill from https://github.com/TencentCloudBase/CloudBase-AI-Toolkit/tree/main/config/source/skills/cloudbase-agent into .cursor/skills/cloudbase-agent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cloudbase-agent", 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-agent--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-agent -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install TencentCloudBase/CloudBase-AI-Toolkit cloudbase-agent --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-agent .gemini/skills/cloudbase-agent && 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-agent" agent skill from https://github.com/TencentCloudBase/CloudBase-AI-Toolkit/tree/main/config/source/skills/cloudbase-agent into .gemini/skills/cloudbase-agent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cloudbase-agent", 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-agentInstalls 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-agent -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-agent .github/skills/cloudbase-agent && 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-agent" agent skill from https://github.com/TencentCloudBase/CloudBase-AI-Toolkit/tree/main/config/source/skills/cloudbase-agent into .github/skills/cloudbase-agent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cloudbase-agent", 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-agent -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-agent --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-agent .opencode/skills/cloudbase-agent && 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-agent" agent skill from https://github.com/TencentCloudBase/CloudBase-AI-Toolkit/tree/main/config/source/skills/cloudbase-agent into .opencode/skills/cloudbase-agent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cloudbase-agent", 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-agentBuild and deploy AI agents with CloudBase Agent SDK (TypeScript & Python).
Cloudbase Agent is an agent skill from TencentCloudBase/CloudBase-AI-Toolkit. Build and deploy AI agents with CloudBase Agent SDK (TypeScript & Python). Implements the AG-UI protocol for streaming agent-UI communication. Use when deploying agent servers, using LangGraph/LangChain/CrewAI adapters, building custom adapters, understanding AG-UI protocol events, or building web/mini-program UI clients. Supports both TypeScript (@cloudbase/agent-server) and Python (cloudbase-agent-server via FastAPI).
Its SKILL.md is about 480 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in AI & LLM Engineering, covering Building AI agents. It works with TypeScript, Python, FastAPI and CrewAI. The repository describes itself as: Backend for AI coding agents on CloudBase — database, auth, functions via Plugin, Skills & MCP. The licence is MIT.
2 steps, taken from the step headings 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 Agent loads about 476 tokens when it runs. Until then it costs about 110 tokens; SKILL.md has 183 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). 183 words, ~476 tokens.
.claude/skills/cloudbase-agent/SKILL.md (or your agent's skills folder).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.
This skill supports TypeScript and Python. Determine the language first, then read the corresponding skill file. If the user does not explicitly specify which programming language to use, TypeScript must be enforced.
| Signal | Language |
|---|---|
| User says "TypeScript", "Node.js", "TS" | TypeScript |
| User says "Python", "FastAPI", "pip" | Python |
| No clear signal | TypeScript |
⚠️ IMPORTANT: After determining the language, you MUST read the corresponding skill file above. Do NOT proceed with any code generation until you have read it. Each language skill file is self-contained with its own quick start, routing table, deployment instructions, and adapter guides.
© TencentCloudBase, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in config/source/skills/cloudbase-agent of TencentCloudBase/CloudBase-AI-Toolkit.
Open the folder on GitHubat commit ea2c202
We found 6 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.
Cloudbase Agent 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 Agent this skillTencentCloudBase/CloudBase-AI-Toolkit | 1.1k | 2 repos | ~476 | Automated safety check: Pass | MIT | |
| Add Example AgentGetBindu/Bindu | 10k | — | ~1.1k | Automated safety check: Notes | Custom licence | |
| Failproof AI SDK IntegrationFailproofAI/failproofai | 5.3k | — | ~6k | Automated safety check: Pass | Custom licence | |
| Omnigent Framework Detectionomnigent-ai/omnigent | 11k | — | ~610 | Automated safety check: Pass | Apache-2.0 | |
| Deep Agents Corelangchain-ai/langchain-skills | 1.3k | 1 repos | ~3.1k | Automated safety check: Pass | MIT | |
| Tool Designagentailor/fullstack-langgraph-nextjs-agent | 132 | — | ~3.2k | Automated safety check: Pass | MIT |
GetBindu/Bindu
Add a new self-contained example agent under examples/. An agent skill from GetBindu/Bindu.
FailproofAI/failproofai
Helps instrument a custom Python or TypeScript agent to record events for Failproof AI, verify what gets written, and run an evaluator worker that scores the runs.
omnigent-ai/omnigent
Scans Python agent code for framework imports and recommends the matching Omnigent executor type, or says when the framework is not natively supported yet.
langchain-ai/langchain-skills
Explains how to build agents with the Deep Agents framework: create_deep_agent, the built-in middleware, the harness, SKILL.md format and configuration options.
agentailor/fullstack-langgraph-nextjs-agent
Design and verify tools that AI agents can actually use — for any framework or language (MCP servers, LangChain/LangGraph, function-calling, raw JSON schema; TypeScript, Python, or otherwise).
langchain-ai/langchain-skills
INVOKE THIS SKILL when setting up a new project or when asked about package versions, installation, or dependency management for LangChain, LangGraph, LangSmith, or Deep Agents.
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…
Categories
Build and deploy AI agents with CloudBase Agent SDK (TypeScript & Python). Cloudbase Agent is an agent skill from TencentCloudBase/CloudBase-AI-Toolkit. Build and deploy AI agents with CloudBase Agent SDK (TypeScript & Python).
Cloudbase Agent fits situations like: deploying agent servers; using LangGraph/LangChain/CrewAI adapters; building custom adapters; understanding AG-UI protocol events.
Run `npx skills add TencentCloudBase/CloudBase-AI-Toolkit --skill cloudbase-agent -a claude-code`. Or copy the skill folder (config/source/skills/cloudbase-agent in TencentCloudBase/CloudBase-AI-Toolkit) into .claude/skills/cloudbase-agent in your project. Claude Code loads it when a task matches its description.
Run `npx skills add TencentCloudBase/CloudBase-AI-Toolkit --skill cloudbase-agent -a codex`. Or copy the skill folder (config/source/skills/cloudbase-agent in TencentCloudBase/CloudBase-AI-Toolkit) into .agents/skills/cloudbase-agent 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-agent -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-agent, .gemini/skills/cloudbase-agent, .github/skills/cloudbase-agent and .opencode/skills/cloudbase-agent in your project.
SKILL.md names no scripts, command-line tools or credentials: Cloudbase Agent is instructions for the agent only. Our summary lists: Python 3; 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 Agent is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 476 tokens (SKILL.md is roughly 1.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Cloudbase Agent: Add Example Agent (GetBindu/Bindu, 10k stars), Failproof AI SDK Integration (FailproofAI/failproofai, 5.3k stars), Omnigent Framework Detection (omnigent-ai/omnigent, 11k stars) and Deep Agents Core (langchain-ai/langchain-skills, 1.3k 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.