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cloudbase-agent

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).

73

Quality

92%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

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SecuritybySnyk

Low

Low-risk findings worth noting

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

SKILL.md
Quality
Evals
Security

Quality

Content

85%

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-structured language router with a clear decision table and explicit delegation to per-language skill files. It is lean and actionable, though the standalone-install note and repeated emphasis add mild redundancy.

Suggestions

Trim the 'Standalone Install Note' section or move it to a reference file so the router body stays minimal.

Remove the redundant restatement in the '⚠️ IMPORTANT' block since Step 2 already instructs reading the language-specific file.

Verify the referenced ts/skill.md and py/skill.md files are present in the bundle so the one-level-deep links resolve.

DimensionReasoningScore

Conciseness

Mostly efficient, but the "Standalone Install Note" section with two raw URLs and an explanatory paragraph, plus the "⚠️ IMPORTANT" block restating Step 2's instruction to read the file, adds padding that could be tightened.

2 / 3

Actionability

Provides a concrete signal-to-language decision table and an explicit, copy-paste-ready next action ("Read [ts/skill.md](ts/skill.md)" / "Read [py/skill.md](py/skill.md)"); for an instruction-only router this is actionable guidance.

3 / 3

Workflow Clarity

Clear two-step sequence (Step 1 determine language, Step 2 read the corresponding file) with an explicit checkpoint warning "Do NOT proceed with any code generation until you have read it", which is appropriate for this simple router.

3 / 3

Progressive Disclosure

Clear overview that splits detail into one-level-deep, well-signaled references (ts/skill.md, py/skill.md as markdown links) with easy navigation, matching the router pattern.

3 / 3

Total

11

/

12

Passed

Description

100%

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 third-person, specific, and complete with an explicit 'Use when' trigger clause naming concrete adapter and client scenarios. It is clearly distinguishable and unlikely to conflict with other skills.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — "Build and deploy AI agents", "Implements the AG-UI protocol for streaming agent-UI communication", "building custom adapters", "building web/mini-program UI clients" — rather than vague language.

3 / 3

Completeness

Explicitly answers both what ("Build and deploy AI agents ... Implements the AG-UI protocol") and when via an explicit "Use when deploying agent servers, using LangGraph/LangChain/CrewAI adapters, building custom adapters, ... or building web/mini-program UI clients" clause.

3 / 3

Trigger Term Quality

Good coverage of natural terms users would say — "deploying agent servers", "LangGraph/LangChain/CrewAI adapters", "AG-UI protocol events", "web/mini-program UI clients", plus package names a developer would name.

3 / 3

Distinctiveness Conflict Risk

A clear niche tied to CloudBase Agent SDK and the AG-UI protocol with named packages (@cloudbase/agent-server, cloudbase-agent-server via FastAPI), making it unlikely to trigger for the wrong skill.

3 / 3

Total

12

/

12

Passed

Validation

81%

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

Validation13 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

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

Warning

relative_links

Relative link issues: 2 missing

Warning

referenced_paths_exist

Referenced path issues: 1 missing

Warning

Total

13

/

16

Passed

Repository
TencentCloudBase/CloudBase-AI-Toolkit
Reviewed

Table of Contents

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