Skip to main content

ax-cpp-playbook

Use when writing C++ code with `axllm` for the playbook() context-engineering surface, agent-bound verified evolution, run-end learning, online updates, and rendering a playbook into a program.

Informações da origem

Repositório
ax-llm/ax
Última atividade na origem
26 de outubro de 2026 às 12:31
Idioma detectado do SKILL.md
inglês
Estrelas
2.972
Forks
201

Opções de instalação

Por padrão, está selecionado o prompt que primeiro revisa a origem. Você pode mudar para um comando direto ou baixar uma cópia local.

Revise os arquivos de origem

Leia o SKILL.md e os arquivos complementares exibidos pelo SkillsMP antes de decidir se vai instalar.

Exibindo SKILL.md

SKILL.md
Instruções da origem · Visualização somente leitura
name
ax-cpp-playbook
description
Use when writing C++ code with `axllm` for the playbook() context-engineering surface, agent-bound verified evolution, run-end learning, online updates, and rendering a playbook into a program.
version
25.4.6
# Ax Playbook 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 - Grow an evolving context playbook for a program or agent stage with playbook(). - Attach a seed playbook to an agent and learn bounded avoidance rules from run-end failure signals. - Use the agent-bound playbook evolve method to mine grounded weaknesses with verification and exact rollback. - Refine a playbook online from live feedback or offline from labeled examples. - Render or persist a playbook and inject it into a program context. ## 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 program = axllm::ax("question:string -> answer:string"); auto pb = axllm::playbook(program, *llm); pb.evolve(examples, metric_fn); ``` ## Relevant API Surface - 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.
Ver no GitHub