Write Java Ax agent code using generated dev.axllm:ax APIs for typed LLM workflows.
npx skills add https://github.com/ax-llm/ax --skill ax-java-agent
Please help me install this Agent Skill. Skill: ax-java-agent Source: https://github.com/ax-llm/ax/tree/main/website/static/java/.well-known/agent-skills/ax-java-agent Command: npx skills add https://github.com/ax-llm/ax --skill ax-java-agent
This Skill helps developers write Java code for Ax agents without mixing in TypeScript-specific patterns, so they can build typed LLM workflows, tool use, and runtime control correctly the first time.
dev.axllm:ax package for structured prompts and typed outputs.Use this skill to write a Java Ax agent that matches the generated package examples, supports tools or MCP when needed, and returns a typed result for the user's task.
High-intent search queries and answers about installing and using this skill.
To build a Java agent with typed LLM workflows, use the generated dev.axllm:ax package for structured prompts and typed outputs without importing TypeScript-only APIs. This ensures correct agent construction and runtime control.
Yes, Java agents can connect to MCP clients and tools. The Skill supports tooling and delegation using generated Java APIs for MCP transports, enabling more capable agent behavior and external system integration.
Execution control handles respond, final, and direct-response paths. For no-tool tasks, it skips the executor stage entirely, allowing the Java agent to return a typed result directly without unnecessary processing overhead.
Yes, you must avoid TypeScript-specific patterns when writing Java Ax agents. The Skill requires using generated Java APIs for agents, transports, and runtime profiles, ensuring type safety and correct runtime behavior.
You preserve state and memory across long Java agent tasks using runtime state management and checkpoints. The Skill provides generated Java APIs to maintain context and orchestrate child agents throughout complex workflows.
The best way to implement clarification flows in a Java assistant is using the generated dev.axllm:ax package APIs. This supports structured prompts, typed outputs, and specific clarification logic without TypeScript dependencies.
ax-llmGenerate Java provider clients and normalized model connection code for Ax AI integrations.
ax-llmWrite C++ Ax agent code with tools, child delegation, MCP clients, and typed envelopes.
ax-llmBuild Python agents using the generated axllm package and its typed API.
ax-llmBuild typed LLM applications with Ax in TypeScript.