Generate OCC framework System Prompts as structured Markdown documents.
npx skills add https://github.com/GrazianoGuiducci/KPhi1 --skill scribe-sys
Please help me install this Agent Skill. Skill: scribe-sys Source: https://github.com/GrazianoGuiducci/KPhi1/tree/main/skills/scribe-sys Command: npx skills add https://github.com/GrazianoGuiducci/KPhi1 --skill scribe-sys
This Skill generates comprehensive System Prompts for AI agents following the OCC (Orchestratore-Cercatore-Costruttore) framework. It analyzes user intent, designs a tailored prompt structure, performs internal research and synthesis, and outputs a ready-to-deploy Markdown document that instructs a final LLM agent.
Provide the user intent and project context; this skill will generate a complete System Prompt document ready for deployment.
High-intent search queries and answers about installing and using this skill.
To generate a system prompt for multi-step LLM orchestration, provide your user intent and project context to produce a structured Markdown document with explicit roles, objectives, and constraints following the OCC framework phases.
The OCC framework is an Orchestratore-Cercatore-Costruttore architecture for AI agent prompt engineering. It structures system prompts through Analysis, Design, Research, Assembly, and Review phases to handle dynamic orchestration across varied user intents.
You structure Markdown system prompts with YAML frontmatter-like metadata and clear sections for roles, constraints, and objectives. This skill outputs self-contained, documentation-ready Markdown designed for direct integration into LLM workflows.
Yes, you can build auto-evaluation and iteration hooks into a system prompt. This skill embeds these dynamic adaptation mechanisms directly within the generated Markdown to support iterative improvement for complex tasks.
No specific dependencies are required to create OCC-based system prompts. You only need to provide the user intent and project context, and the skill handles the end-to-end design and synthesis internally to output a ready-to-deploy document.
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