ax-cpp-agent-context

# AxAgent Context Selection For C++ This skill helps an agent write C++ code with the generated Ax package `axllm`. Use the generated package API, examples, and manifests; do not import TypeScript-only APIs unless you are editing the TypeScript package. ## When To Use - Choose between contextMap, contextPolicy, optimization, and recall for a task. - Avoid mixing persistent corpus orientation with within-run compaction. - Route long-context agent work to the right generated-package feature. ## Package Facts - Language: C++. - Package: `axllm`. - Package API docs: `API.md` and `axir-api.json`. - Capability manifest: `axir-capabilities.json`. - Runnable examples: `examples/`. - Real network support: yes. - Scripted no-key transport support: yes. - Runtime profiles: `javascript-quickjs`, `python-pyodide`. ## Core Pattern ```cpp auto helper = axllm::agent("question:string -> answer:string"); auto out = helper.forward(llm, { {"question", "How should I proceed?"} }); ``` ## Relevant API Surface - Agents And RLM: `axllm::agent`, `axllm::AxAgent`, `axllm::AxAgent::add_child_agent`, `axllm::AxAgent::streaming_forward` - Runtime Profiles: `axllm::ProcessCodeRuntime`, `axllm::RuntimeCapabilities`, `axllm::RuntimeEnvelope`, `javascript-quickjs`, `python-pyodide` - Optimizers: `axllm::optimize`, `axllm::playbook`, `axllm::AxPlaybook`, `axllm::AxBootstrapFewShot`, `axllm::AxGEPA`, `axllm::OptimizerEngine`, `axllm::OptimizerEvaluator` ## Guardrails - Start from package examples for exact native syntax before inventing a new call shape. - Use `provider-api` examples only when the user explicitly has provider credentials available. - Use `no-key` examples for deterministic local checks and provider request mapping. - Treat AxIR as the source of generated package truth: if package docs disagree with source code, update the compiler and regenerate packages. - Do not copy repo-maintainer skills from `tools/*/skills/` into user packages.