Use Gfs MCP
Guepard-Corp/gfs
GFS MCP Server for AI agent integration. An agent skill from Guepard-Corp/gfs.
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.
$ npx skills add TencentCloudBase/CloudBase-AI-Toolkit --skill cloud-api-operations -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install TencentCloudBase/CloudBase-AI-Toolkit cloud-api-operations --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/cloud-api-operations .claude/skills/cloud-api-operations && 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 "cloud-api-operations" agent skill from https://github.com/TencentCloudBase/CloudBase-AI-Toolkit/tree/main/config/source/skills/cloud-api-operations into .claude/skills/cloud-api-operations/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cloud-api-operations", 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/cloud-api-operationsType 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 cloud-api-operations -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install TencentCloudBase/CloudBase-AI-Toolkit cloud-api-operations --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/cloud-api-operations .agents/skills/cloud-api-operations && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "cloud-api-operations" agent skill from https://github.com/TencentCloudBase/CloudBase-AI-Toolkit/tree/main/config/source/skills/cloud-api-operations into .agents/skills/cloud-api-operations/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cloud-api-operations", 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 cloud-api-operations -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install TencentCloudBase/CloudBase-AI-Toolkit cloud-api-operations --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/cloud-api-operations .cursor/skills/cloud-api-operations && 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 "cloud-api-operations" agent skill from https://github.com/TencentCloudBase/CloudBase-AI-Toolkit/tree/main/config/source/skills/cloud-api-operations into .cursor/skills/cloud-api-operations/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cloud-api-operations", 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/cloud-api-operations--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 cloud-api-operations -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install TencentCloudBase/CloudBase-AI-Toolkit cloud-api-operations --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/cloud-api-operations .gemini/skills/cloud-api-operations && 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 "cloud-api-operations" agent skill from https://github.com/TencentCloudBase/CloudBase-AI-Toolkit/tree/main/config/source/skills/cloud-api-operations into .gemini/skills/cloud-api-operations/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cloud-api-operations", 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 cloud-api-operationsInstalls 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 cloud-api-operations -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/cloud-api-operations .github/skills/cloud-api-operations && 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 "cloud-api-operations" agent skill from https://github.com/TencentCloudBase/CloudBase-AI-Toolkit/tree/main/config/source/skills/cloud-api-operations into .github/skills/cloud-api-operations/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cloud-api-operations", 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 cloud-api-operations -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 cloud-api-operations --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/cloud-api-operations .opencode/skills/cloud-api-operations && 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 "cloud-api-operations" agent skill from https://github.com/TencentCloudBase/CloudBase-AI-Toolkit/tree/main/config/source/skills/cloud-api-operations into .opencode/skills/cloud-api-operations/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cloud-api-operations", 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.
cloud-api-operationsOperate Tencent Cloud control-plane resources (monitoring/alarms, CLB, CAM roles, COS, MySQL, SCF) via cloud APIs when no dedicated MCP tool covers the task.
Cloud API Operations is an agent skill from TencentCloudBase/CloudBase-AI-Toolkit. 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.
Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including reference files (for example `references/calling-methods.md`, `references/recipes/README.md` and `references/recipes/custom-domain.md`).
It sits in Databases, covering MCP servers. It works with 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.
4 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.
Links to these hosts (documentation or services it may open):
docs.cloudbase.netcloud.tencent.comconsole.cloud.tencent.comFrom 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.
Cloud API Operations loads about 1.5k tokens when it runs, and up to ~27k if it reads all its reference files. Until then it costs about 79 tokens; SKILL.md has 718 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). 718 words, ~1,471 tokens.
.claude/skills/cloud-api-operations/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.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 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.
./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。
| Scenario | Path | Reference |
|---|---|---|
| Interactive ops inside this session | MCP callCloudApi | ./references/calling-methods.md §1 |
Picking the service identifier / deciding whether version is needed | MCP callCloudApi | ./references/service-versions.md |
| User's code / scripts | Official SDKs (TC3-HMAC-SHA256) or @cloudbase/manager-node | ./references/calling-methods.md §2 |
| Quick one-off verification | API 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.
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.ListAttachedRolePolicies + GetPolicy) instead of assuming, and treat UnauthorizedOperation as "this identity lacks this action", never as a broken setup.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.
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:
./references/recipes/pg-storage-alarm.md./references/recipes/icp-filing-readiness.md./references/recipes/pg-instance-spec.md./references/recipes/custom-domain.mdDone when: every parameter value in the call sequence traces to a recipe value marked as verified (实测) or to official docs.
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.© 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 7 other files (references) in config/source/skills/cloud-api-operations 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.
Cloud API Operations 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 |
|---|---|---|---|---|---|---|
| Cloud API Operations this skillTencentCloudBase/CloudBase-AI-Toolkit | 1.1k | 1 repos | ~1.5k | Automated safety check: Pass | MIT | |
| Use Gfs MCPGuepard-Corp/gfs | 158 | — | ~4k | 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 | |
| Mesh Memorysickn33/agentic-awesome-skills | 47k | 1 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Tune Monitorsickn33/agentic-awesome-skills | 47k | 1 repos | ~3.3k | Automated safety check: Pass | Apache-2.0 |
Guepard-Corp/gfs
GFS MCP Server for AI agent integration. An agent skill from Guepard-Corp/gfs.
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…
sickn33/agentic-awesome-skills
Self-hosted semantic memory for AI agents via MCP. An agent skill from sickn33/agentic-awesome-skills.
sickn33/agentic-awesome-skills
Analyze a Monte Carlo monitor and recommend config changes to reduce alert noise.
google/skills
Manages clusters, instances, and backups for AlloyDB for PostgreSQL, and integrates with AlloyDB Model Context Protocol (MCP) tools for automated database operations.
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
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. Cloud API Operations is an agent skill from TencentCloudBase/CloudBase-AI-Toolkit. 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.
Cloud API Operations fits situations like: A task needs control-plane operations beyond CloudBases own tooling; A callCloudApi call failed and needs classifying.
Run `npx skills add TencentCloudBase/CloudBase-AI-Toolkit --skill cloud-api-operations -a claude-code`. Or copy the skill folder (config/source/skills/cloud-api-operations in TencentCloudBase/CloudBase-AI-Toolkit) into .claude/skills/cloud-api-operations in your project. Claude Code loads it when a task matches its description.
Run `npx skills add TencentCloudBase/CloudBase-AI-Toolkit --skill cloud-api-operations -a codex`. Or copy the skill folder (config/source/skills/cloud-api-operations in TencentCloudBase/CloudBase-AI-Toolkit) into .agents/skills/cloud-api-operations 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 cloud-api-operations -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cloud-api-operations, .gemini/skills/cloud-api-operations, .github/skills/cloud-api-operations and .opencode/skills/cloud-api-operations in your project.
SKILL.md names no scripts, command-line tools or credentials: Cloud API Operations is instructions for the agent only.
SKILL.md names 3 domains. As links in the text: docs.cloudbase.net, cloud.tencent.com and console.cloud.tencent.com. 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.
Cloud API Operations is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.5k tokens (SKILL.md is roughly 5.9k 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 25k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Cloud API Operations: Use Gfs MCP (Guepard-Corp/gfs, 158 stars), Mindsdb MCP Skill (LeoYeAI/openclaw-master-skills, 2.2k stars), Aurora Dsql (aws/agent-toolkit-for-aws, 2.8k stars) and Mesh Memory (sickn33/agentic-awesome-skills, 47k 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.