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Build and deploy AI agents with CloudBase Agent SDK (TypeScript & Python). Implements the AG-UI protocol for streaming agent-UI communication.
Passed 13 of 21 test cases with the skill, and 7 of 21 without it.
and 6 more in the full report
7 fixed7 passed either way8 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 7 test cases the skill fixed. Same model, same prompt, with and without the skill.
We explicitly chose TypeScript for our CloudBase Agent service. Which documentation file contains the setup guides and adapters?
| Checked | Without skill | With skill |
|---|---|---|
| The response specifies ts/skill.md. | Missed | Passed |
The instructions your model reads when the skill loads.
Sibling CloudBase skills ship beside this skill. Use local relative paths such as ../auth-tool-cloudbase/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.
This skill supports TypeScript and Python. Determine the language first, then read the corresponding skill file. If the user does not explicitly specify which programming language to use, TypeScript must be enforced.
| Signal | Language |
|---|---|
| User says "TypeScript", "Node.js", "TS" | TypeScript |
| User says "Python", "FastAPI", "pip" | Python |
| No clear signal | TypeScript |
⚠️ IMPORTANT: After determining the language, you MUST read the corresponding skill file above. Do NOT proceed with any code generation until you have read it. Each language skill file is self-contained with its own quick start, routing table, deployment instructions, and adapter guides.
test cases passed, vs 7 / 21 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.