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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.

76

Quality

96%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

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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

92%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.

The body is a well-organized instruction/routing skill with highly actionable concrete guidance, a clear sequenced workflow with validation feedback loops, and clean one-level-deep progressive disclosure. The main improvement opportunity is reducing repeated cross-references to the same fallback files to tighten token efficiency.

Suggestions

Consolidate repeated pointers to references/tooling-fallback.md and references/mcp-setup.md (currently cited in Workflow, Activation Contract, Global rules, Engineering constitution, and MCP+CLI prerequisite) into a single clearly labeled fallback section to reduce redundancy.

The High-priority routing table is auto-generated from activation-map.yaml; consider trimming duplicate 'Then read' columns that re-list skills already implied by the Routing reminders section to save tokens.

DimensionReasoningScore

Conciseness

Dense, imperative, and free of concept over-explanation, but several cross-references (tooling-fallback.md, mcp-setup.md) are repeated across multiple sections and could be tightened; fits anchor-4 'efficient with minor trim opportunities' rather than the lean anchor-5.

4 / 5

Actionability

Provides concrete executable commands and exact legal/illegal values ('npx plugins add TencentCloudBase/cloudbase-plugin', 'manageApps(action="createApp", ...)', 'createModel(... ) takes a GroupName' such as 'cloudbase' or 'hunyuan-exp', 'JSON.stringify(result, null, 2)') covering the common cases.

5 / 5

Workflow Clarity

Clear 3-stage sequenced workflow with explicit ordering constraints ('Stage 2a must precede frontend code', 'Stage 3 is mandatory'), validation checkpoints (self-verify static+runtime, cloudbase-code-review close-out), and an explicit error-recovery feedback loop ('After 2-3 failed attempts... stop and reroute').

5 / 5

Progressive Disclosure

Clear overview with well-signaled one-level-deep references; the 'On-demand references' and 'Reference index' sections list all 6 reference files, each verified to exist in references/ (activation-map.yaml, console-links.md, deployment-workflow.md, mcp-setup.md, scenarios.md, tooling-fallback.md), with no nested-reference chains.

5 / 5

Total

19

/

20

Passed

Description

100%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.

The description is comprehensive and well-structured with explicit trigger guidance, broad bilingual keyword coverage, and a clear negative boundary. Its only weakness is keyword-stuffing density that slightly borders on over-claiming, though it remains grounded in real CloudBase capabilities.

DimensionReasoningScore

Specificity

Lists multiple concrete actions (develop, design, build, deploy, debug, migrate, troubleshoot) and enumerates capability domains (auth, databases, cloud functions, CloudRun, AI) with comprehensive coverage matching the anchor-5 example.

5 / 5

Completeness

Explicitly answers both 'what' (the enumerated capability areas) and 'when' ('Use this skill when you develop, design, build, deploy, debug, migrate, or troubleshoot CloudBase'), plus a concrete negative boundary clause.

5 / 5

Trigger Term Quality

Comprehensive bilingual natural terms and synonyms ('登录', '注册', 'OAuth', '微信登录', 'publishable key', '云函数', 'streaming', '流式输出') matching anchor-5's coverage including synonyms and tool/API names.

5 / 5

Distinctiveness Conflict Risk

Clearly scoped to CloudBase/腾讯云开发 with explicit negative triggers ('Do NOT use for non-CloudBase projects, pure frontend without CloudBase, or self-hosted backends'), giving it a distinct niche with minimal conflict risk.

5 / 5

Total

20

/

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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