Generate AxGen code from natural language prompts using the @ax-llm/ax toolkit.
npx skills add https://github.com/jadecli/researchers --skill ax-gen
Please help me install this Agent Skill. Skill: ax-gen Source: https://github.com/jadecli/researchers/tree/main/agentcrawls-ts/.claude/skills/ax-gen Command: npx skills add https://github.com/jadecli/researchers --skill ax-gen
Generate AxGen code from natural language prompts to create ready-to-use AxGen patterns, reducing manual boilerplate and accelerating integration with the Ax toolkit.
Ask for AxGen code with a short natural-language prompt to generate ready-to-run TypeScript examples.
High-intent search queries and answers about installing and using this skill.
AxGen code generation supports inline and reusable signatures, forward and streaming execution workflows, assertions, field processors, and function calling to handle multi-step prompt interactions.
You can create reusable signatures with quick wrappers and typed interfaces in TypeScript, enabling structured outputs and robust multi-step interactions across your AxGen applications.
The best way to handle caching and self-tuning is to generate production-ready AxGen code that includes built-in caching, self-tuning capabilities, and robust error handling for reliable execution.
Yes, AxGen code generation supports structured outputs and field processors, allowing you to enforce defaults, apply safety constraints, and process data reliably across multi-step workflows.
While AxGen code generation enforces defaults and safety constraints, limitations may arise from complex custom logic requiring manual adjustments beyond the generated boilerplate and automated error handling.
MakisuoInstall and configure a local ClickHouse environment with clickhousectl.
ax-llmGenerate AxGen code for typed LLM workflows with validation and streaming.
ax-llmBuild typed LLM applications with Ax in TypeScript.
ax-llmGenerate Python AxGen code for typed structured generation workflows.
