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Found 2 posts
Code AgentSystem PromptPrompt Engineering
Code Agent Anatomy (04): How System Prompts Are Assembled, and Where the Agent's 'Personality' Comes From
A deep dive into MyCodeAgent's prompt assembly layer: the four-layer system message architecture — Constitution, Tool Contracts, Project Rules, and Runtime Signals — and how they combine with history projection to form the Model View sent to the LLM. Understanding that agent behavior constraints aren't 'one giant prompt', but a cacheable, fingerprintable, hot-swappable layered assembly.
·8 min read
OpenClawSkillSystem Prompt
OpenClaw Deep Dive (8): The Skill System — Teaching LLMs to Follow Workflows On Demand
Starting from "how does the AI know which command to use for weather," we derive the SKILL.md format design, multi-source priority discovery, eligibility filtering, the progressive disclosure pattern, and the user-invocable /command path with deterministic tool dispatch.
·11 min read