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Use when writing Java code with `dev.axllm:ax` for provider clients, model selection, OpenAI-compatible calls, Responses, Gemini, Anthropic, routers, and balancers.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
| name | ax-java-ai |
| description | Use when writing Java code with `dev.axllm:ax` for provider clients, model selection, OpenAI-compatible calls, Responses, Gemini, Anthropic, routers, and balancers. |
| version | 22.0.6 |
This skill helps an agent write Java code with the generated Ax package dev.axllm:ax. Use the generated package API, examples, and manifests; do not import TypeScript-only APIs unless you are editing the TypeScript package.
dev.axllm:ax.API.md and axir-api.json.axir-capabilities.json.examples/.javascript-quickjs, python-pyodide.import dev.axllm.ax.*;
var llm = Ax.ai("openai", java.util.Map.of("apiKey", System.getenv("OPENAI_API_KEY")));
Ax.ai, OpenAICompatibleClient, OpenAIResponsesClient, GoogleGeminiClient, AnthropicClient, AxBalancer, MultiServiceRouter, ProviderRouterprovider-api examples only when the user explicitly has provider credentials available.no-key examples for deterministic local checks and provider request mapping.tools/*/skills/ into user packages.Use when writing C++ code with `axllm` for agent memory, recall callbacks, dynamic skill discovery, loaded-skill state, and used-skill tracking.
Use when writing C++ code with `axllm` for agent tracing, usage accounting, action logs, runtime diagnostics, replay, and production debugging.
Use when writing C++ code with `axllm` for agent optimization, evaluators, judges, optimizer artifacts, BootstrapFewShot, and GEPA.
Use when writing C++ code with `axllm` for RLM executor loops, AxCodeRuntime sessions, runtime envelopes, process runtimes, and optional runtime profiles.
Use when writing C++ code with `axllm` for agents, child delegation, tools, MCP, clarification, runtime state, and final typed responses.
Use when writing C++ code with `axllm` for provider clients, model selection, OpenAI-compatible calls, Responses, Gemini, Anthropic, routers, and balancers.