Build C++ Ax flow programs with axllm native syntax.
npx skills add https://github.com/ax-llm/ax --skill ax-cpp-flow
Please help me install this Agent Skill. Skill: ax-cpp-flow Source: https://github.com/ax-llm/ax/tree/main/website/static/cpp/.well-known/agent-skills/ax-cpp-flow Command: npx skills add https://github.com/ax-llm/ax --skill ax-cpp-flow
This Skill helps you write Ax flow programs in C++ without guessing the generated package syntax, so you can build reliable workflow graphs, nested programs, and optimizer-aware pipelines.
Ask for a C++ axllm flow example that wires a small workflow graph using the package's native syntax and the existing examples as the reference.
High-intent search queries and answers about installing and using this skill.
To build C++ Ax flow graphs, you compose generators, agents, branches, and nested programs into typed flow graphs using native axllm syntax. This process relies on validating generated package code against native examples and API documentation.
No, C++ axllm flow programs require C++-only syntax that matches the native package rather than TypeScript APIs. You must validate generated code against native package examples and API documentation to ensure correct syntax.
Caching in C++ axllm workflow graphs is handled through dynamic options and optimizer components within the generated package code. You reason about state, node inputs, returns, and error handling to implement reliable caching behavior.
Generating valid C++ Ax flow programs requires native package examples, API documentation, capability manifests, and C++-only syntax matching axllm. These references ensure your workflow graphs, nested programs, and optimizer pipelines are reliable.
Generated C++ axllm flow programs fail validation when syntax does not match the native package examples or API documentation. Ensure you are using C++-only axllm syntax rather than TypeScript APIs to compose workflow graphs and nested programs.
The best way to compose agents and branches into typed flow graphs in C++ is using axllm native package syntax validated against existing examples. This approach handles state, node inputs, returns, and error handling reliably.
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