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superbuild — Agentic engineering foundations + RPI development process

The knowledge base for building reliable AI agents — context engineering, orchestration, agent design, and the Research → Plan → Implement process. Hands off to OpenBuild when it's time to build.

OpenClaw Skill

Overview

superbuild v1.1 serves three roles: a knowledge repository for agentic engineering, an action framework (RPI: Research → Plan → Implement), and a skill development guide (build/test/debug/package/distribute). It covers 5 design patterns and provides targeted reference files for each common situation. When done, it produces RESEARCH.md + PLAN.md for handoff to OpenBuild.

Features

Knowledge repository — read only what you need:

Situation Reference file
Context window filling up context-engineering.md
Multi-agent coordination orchestration.md
Spawn sub-agents, pick models agent-design.md
Memory organization memory-patterns.md
Reduce tool call overhead tool-optimization.md
Quick tips and lessons tips.md

RPI Process: Research → Plan → Implement Skill guide: build, test, debug, package, distribute

Usage / Quick Start

Start with the situation table and read only the matching reference file. Handoff to OpenBuild: provide RESEARCH.md + PLAN.md.

Trigger Keywords (OpenClaw)

superbuild, RPI, agentic, agent design, workflow design, context engineering, build skill, test skill, publish skill, skill not working

Related Skills

  • openbuild — project lifecycle (receives RESEARCH.md + PLAN.md)

Part of the NachaFromMars OpenClaw skill ecosystem.

About

Agentic engineering knowledge + RPI process (Research → Plan → Implement). 5 design patterns. Reference files per situation: context-engineering, orchestration, agent-design, memory-patterns.

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