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ax-cpp-playbook

Build and refine C++ playbooks for Ax programs and agents.

2.9k|186|Updated Feb 23, 2023
Search Tags:#playbook#context engineering#cpp#agent workflows#optimizer#ax
One-click install
npx skills add https://github.com/ax-llm/ax --skill ax-cpp-playbook
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ax-cpp-playbook
Source: https://github.com/ax-llm/ax/tree/main/website/static/cpp/.well-known/agent-skills/ax-cpp-playbook
Command: npx skills add https://github.com/ax-llm/ax --skill ax-cpp-playbook

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you create, refine, and deploy playbook-driven C++ workflows for Ax so an agent can accumulate task knowledge instead of relying on one-off prompts.

Core Features & Use Cases

  • Playbook Creation: Build a structured context playbook for a C++ Ax program or agent stage.
  • Online and Offline Refinement: Improve the playbook from live feedback or from labeled examples.
  • Rendering and Persistence: Render a playbook into a program context or save it for reuse.
  • Use Case: A team can capture recurring support triage decisions in a playbook, update it as new cases arrive, and keep the C++ agent behavior consistent across runs.

Quick Start

Use this Skill to turn your C++ Ax workflow into a playbook-backed program and refine it with your examples and evaluation results.

Frequently Asked Questions about ax-cpp-playbook

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What is a C++ playbook for Ax agent workflows?▼

A C++ playbook for Ax agent workflows is a structured context mechanism that captures recurring task knowledge, allowing an agent to accumulate decisions from labeled examples and online feedback instead of relying on one-off prompts.

How do I refine an Ax C++ playbook with online feedback?▼

You can refine an Ax C++ playbook using online feedback refinement features to update agent behavior dynamically as new cases arrive, ensuring consistent task execution across multiple program runs.

Can I render a C++ playbook into an executable Ax program?▼

Yes, you can render a C++ playbook directly into a program context or save it for reuse, transforming accumulated task knowledge into executable programs backed by AxIR behavior and native C++ syntax.

Do I need the generated axllm package to build C++ Ax playbooks?▼

Yes, building C++ Ax playbooks requires the generated axllm package, playbook APIs, optimizer support, and package examples to preserve native C++ syntax and maintain AxIR-backed behavior.

How do I use offline learning from labeled examples in C++ Ax agents?▼

You can use offline learning to improve a C++ Ax playbook by feeding it labeled examples, which allows the agent to accumulate task knowledge and refine its context-engineering workflows for future program stages.

What is the best way to manage context engineering for C++ agent stages?▼

The best way to manage context engineering for C++ agent stages is building a structured playbook that evolves through online feedback and offline learning, capturing recurring decisions like support triage for consistent behavior.

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