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cloudbase

Use this skill 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. Covers Web, 微信小程序, 小程序, uni-app, mobile (iOS, Android, Flutter, React Native). UI (页面, 界面, 表单, form, dashboard, prototype, 原型); auth (登录, 注册, OAuth, 微信登录, publishable key); databases (NoSQL 文档数据库, MySQL 关系型数据库, PostgreSQL/CloudBase PG, app.rdb(), queryPgDatabase/managePgDatabase, CRUD, 查询, security rules); 云函数/cloud functions (serverless, scf_bootstrap); CloudRun (云托管, Dockerfile); 云存储. Built-in AI (内置大模型, AI 对话, streaming, 流式输出, 图片生成, generateText, streamText, createModel, generateImage, TokenHub, Hunyuan, hunyuan-exp, DeepSeek, deepseek, GLM, Kimi, Token Credits 资源包, 小程序成长计划). 第三方大模型, 大模型接入, 大模型调用, LLM API, AI agent, 智能体, AI Agent, AG-UI, LangGraph. Ops (巡检, 诊断, health check, 日志, troubleshooting). Spec (需求文档, 技术方案, requirements, tasks.md). Do NOT use for non-CloudBase projects, pure frontend without CloudBase, or self-hosted backends without CloudBase.

68

Quality

82%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

The canonical home for this skill is cloudbase in TencentCloudBase/CloudBase-AI-Toolkit

SKILL.md
Quality
Evals
Security

Quality

Content

77%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A well-structured routing/activation skill with clear workflow sequencing, explicit validation and feedback loops, and clean one-level-deep progressive disclosure. Its main weakness is repetition of the MCP/CLI fallback guidance across several sections, which inflates token cost.

Suggestions

Consolidate the MCP/CLI fallback guidance into a single section (e.g., 'MCP + CLI prerequisite') and reference it from the others, instead of restating 'if MCP tools are missing in THIS session, configure MCP for next session and use tcb CLI now' across five sections.

Trim repeated tooling-fallback instructions in 'Standalone skill fallback', 'Global rules before action', and 'Engineering constitution' to one-line cross-references to the dedicated section.

DimensionReasoningScore

Conciseness

The body is information-dense and does not explain basic concepts Claude already knows, but the MCP/CLI fallback guidance ('if MCP tools are missing in THIS session, configure MCP for next session and use tcb CLI now (see tooling-fallback.md)') is restated across the Workflow, Standalone skill fallback, Global rules, Engineering constitution, and MCP+CLI prerequisite sections, which is noticeable redundancy that could be tightened.

3 / 5

Actionability

Provides concrete executable commands ('npx plugins add TencentCloudBase/cloudbase-plugin -y --scope user', 'npx mcporter list | grep cloudbase', 'JSON.stringify(result, null, 2)'), exact API signatures ('manageApps(action="createApp", ...)', 'envQuery(action=list, alias=..., aliasExact=true)'), and exact skill ids, with only minor gaps since it is routing guidance rather than full code blocks.

4 / 5

Workflow Clarity

A clear three-stage sequence (Exploration → Implementation[2a resource prep before 2b frontend] → Close-out) with explicit validation checkpoints ('Self-verify... tsc / lint / build / tests... agent-browser'), feedback loops ('After 2–3 failed attempts... stop and reroute'; serialize-then-retry on object writes), and a routing checklist table.

5 / 5

Progressive Disclosure

A clear overview entry file with well-signaled one-level-deep references — all six cited files (activation-map.yaml, console-links.md, deployment-workflow.md, mcp-setup.md, scenarios.md, tooling-fallback.md) are present in references/ — plus an 'On-demand references' list and a 'Reference index' for easy navigation.

5 / 5

Total

17

/

20

Passed

Description

87%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A highly specific, bilingual, well-bounded description that clearly states both what it covers and when to use it. Its only weaknesses are second-person voice ('you develop') and dense brand/API jargon padding that slightly dilutes natural trigger-term quality.

DimensionReasoningScore

Specificity

Lists multiple concrete actions ('develop, design, build, deploy, debug, migrate, or troubleshoot') and specific APIs ('app.rdb()', 'generateText', 'scf_bootstrap') matching the anchor-5 comprehensive level, but reduced by 1 per the rubric because 'Use this skill when you develop...' uses second-person voice.

4 / 5

Completeness

Explicitly answers both what ('Covers Web, 微信小程序... UI... auth... databases... 云函数... Built-in AI...') and when ('Use this skill when you develop...'), plus an explicit negative boundary ('Do NOT use for non-CloudBase projects...'), matching the anchor-5 example.

5 / 5

Trigger Term Quality

Comprehensive natural terms with bilingual synonyms ('CloudBase/TCB/腾讯云开发/云开发', '大模型/LLM/AI agent/智能体', '登录/OAuth/微信登录'), but heavily padded with brand and API jargon ('Hunyuan', 'GLM', 'Kimi', 'queryPgDatabase', 'AG-UI') that users would not naturally say, so the anti-verbosity guideline holds it below a clean 5.

4 / 5

Distinctiveness Conflict Risk

Clear CloudBase niche with distinct triggers (腾讯云开发, app.rdb(), scf_bootstrap) and a strong explicit exclusion ('Do NOT use for... pure frontend without CloudBase, or self-hosted backends without CloudBase') minimizing conflict risk.

5 / 5

Total

18

/

20

Passed

Validation

93%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository
TencentCloudBase/CloudBase-AI-Toolkit
Reviewed

Table of Contents

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