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Cloud Api Operations

OrganizationPopular
TencentCloudBase
cloud-api-operations

Operate Tencent Cloud control-plane resources (monitoring/alarms, CLB, CAM roles, COS, MySQL, SCF) via cloud APIs when no dedicated MCP tool covers the task. Use when a task needs control-plane operations beyond CloudBase's own tooling, or when a callCloudApi call failed and needs classifying.

Overview

PublisherTencentCloudBase
RepositoryCloudBase-AI-Toolkit
Skill namecloud-api-operations
Stars
1.1K
Forks
141
Bundled files
3
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by TencentCloudBase on GitHub. Read the source before you install it.

Installation

Install the Cloud Api Operations AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/TencentCloudBase/CloudBase-AI-Toolkit.git /tmp/CloudBase-AI-Toolkit
mkdir -p .claude/skills
cp -r /tmp/CloudBase-AI-Toolkit/config/source/skills/cloud-api-operations .claude/skills/cloud-api-operations
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cloud Api Operations in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Cloud Api Operations on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Cloud Api Operations is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Cloud API Operations

Operate Tencent Cloud resources that CloudBase depends on but that no dedicated MCP tool covers (monitoring & alarms, CLB, CAM roles, cross-product infra). Two goals: find the right API without guessing, and reuse proven workflows instead of re-exploring.

Sibling skills (local only)

Sibling CloudBase skills ship beside this skill. Use local relative paths such as ../cloudbase-platform/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.

When to use

  • The user asks to manage/operate Tencent Cloud resources beyond CloudBase's dedicated MCP tools (e.g. configure alarm policies, inspect CLB, attach CAM policies).
  • The user wants to control these resources from code and asks which API/SDK to use.
  • A callCloudApi call failed and you need to classify the error (wrong Action / wrong params / missing CAM permission) and recover.

Workflow

1. Discover the API — resolve names from a documented source

  1. Read the API index first: https://docs.cloudbase.net/ai/cloudbase-ai-toolkit/api-reference.md — auto-synced daily, action-level coverage (TCB 105 + dependency products: MySQL / SCF / COS). Check rate limits there too. The index check is a quick grep — run it in parallel with step 2/3 fetches, do not serialize.
  2. If the index does not cover the target product, go to the product's official API docs (e.g. monitor: https://cloud.tencent.com/document/product/649/30343) and confirm the exact Action name, Version, and parameters.
  3. For machine-readable parameter schema, fetch the official SDK models source directly — see ./references/calling-methods.md §2 item 4.

Done when: the Action name, Version, and full parameter shape each trace to the index, official product docs, or SDK models source — nothing from memory. A call that still returns action ... is invalid or not found means a name was not resolved this way; classify and recover via the error table in ./references/calling-methods.md §1.

API first:公开 API 概览就是契约边界。 索引里查不到某个能力,它就不在公开契约内 —— 不要拿某个 SDK 的封装方法反推未公开的 Action 名去调(这类 Action 不受公开文档保护,非该语言的使用者也无从照做)。此时改用有公开 API 的等价路径,或把缺口明确告诉用户。本 skill 的 recipes 只收录公开 API 覆盖的场景。

2. Choose the calling path

ScenarioPathReference
Interactive ops inside this sessionMCP callCloudApi./references/calling-methods.md §1
Picking the service identifier / deciding whether version is neededMCP callCloudApi./references/service-versions.md
User's code / scriptsOfficial SDKs (TC3-HMAC-SHA256) or @cloudbase/manager-node./references/calling-methods.md §2
Quick one-off verificationAPI Explorer (https://console.cloud.tencent.com/api/explorer)

Priority rule: if @cloudbase/manager-node has a matching method, use it; drop to raw cloud API only when it does not.

3. Check credentials before the first call

  • Read the current credential scope from auth tools: credential_scope: account = account-level, reaches control-plane APIs subject to that identity's CAM policies; env = API Key, scoped to one environment's data plane plus the fixed TCB policies.
  • Permission comes from a different place per credential identity: the account-level identity's own policies, the API Key model (no channel to attach arbitrary CAM policies), or the TCB service role that CLI / MCP assume. Which cross-product capabilities that role family already covers is not fixed — read the attached policies (ListAttachedRolePolicies + GetPolicy) instead of assuming, and treat UnauthorizedOperation as "this identity lacks this action", never as a broken setup.
  • On UnauthorizedOperation / AuthFailure, hand the user a one-click CAM grant link (role name + policy name + principal) instead of telling them to go find the policy in the console, then retry the original call. Role targets, the principal values, and which preset policy covers what: ./references/calling-methods.md §3.

Done when: the credential identity is known, and every permission error has been converted into a clickable authorization link carrying a concrete policy name before any retry.

4. Follow a proven recipe when one exists

Recipes encode the exact call sequence, required parameters, and empirically discovered pitfalls so the flow works on the first pass. One scenario per file — start from the index ./references/recipes/README.md, whose 状态 column records how far each recipe has been verified:

  • PostgreSQL storage-usage alarm: ./references/recipes/pg-storage-alarm.md

Done when: every parameter value in the call sequence traces to a recipe value marked as verified (实测) or to official docs.

Constraints

  • Region is a top-level region argument (X-TC-Region), never a body param. Some APIs additionally take a short region code inside Dimensions (e.g. sh vs ap-shanghai) — these are different fields.
  • Route SDK-language details to official SDK docs or sdkHints; keep this skill SDK-language-agnostic.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Cloud Api Operations AI skill do?

Operate Tencent Cloud control-plane resources (monitoring/alarms, CLB, CAM roles, COS, MySQL, SCF) via cloud APIs when no dedicated MCP tool covers the task. Use when a task needs control-plane operations beyond CloudBase's own tooling, or when a callCloudApi call failed and needs classifying.

Why use Cloud Api Operations on TypingMind?

Because you install it once and use it with any model. Cloud Api Operations is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Cloud Api Operations in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/TencentCloudBase/CloudBase-AI-Toolkit/tree/main/config/source/skills/cloud-api-operations. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Cloud Api Operations?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Cloud Api Operations?

As many as you like. As long as a model supports skills, you can use Cloud Api Operations with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Cloud Api Operations AI skill free?

Yes. It is published on GitHub by TencentCloudBase under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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