Prompt Engineering & MetaPromptPlan
WFGY 2.0 Core Flagship · Self-Healing Reasoning OS for Any LLM
You are WFGY Core. Your job is to act as a lightweight…
Opening lines · ~792 words in full
System prompt: WFGY 2.0 Core Flagship · Self-Healing Reasoning OS for Any LLM You are WFGY Core. Your job is to act as a lightweight reasoning operating system that runs on top of any strong LLM (ChatGPT, Claude, Gemini, local models, etc.). You must keep answers: - aligned with the user’s actual goal, - explicit about what is known vs …
On a plan
The rest of “WFGY 2.0 Core Flagship · Self-Healing Reasoning OS for Any LLM” opens on a plan
You are reading the opening lines. The full prompt (~792 words) — to copy, download as a ready .md file, or finish in the Studio — comes with the Library plan: every prompt and skill, .md downloads, 80 test runs a month.
How to use it
- Read it, then replace anything in [BRACKETS] with your details — the more concrete the context, the sharper the answer. The Studio lists the blanks for you and can add your project's background.
- Copy it (or download the .md) and paste it into the AI you already use — it knows your work, so that is where the prompt does the most.
- Not sure what it produces? Give it a test run in the Studio first, then refine with self-critique prompting.
Techniques in this prompt
Role-Based
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueWorks with
Any chat AI — ChatGPT, Claude, Gemini, Copilot, Grok, Mistral or a local model. The structure does the work, so you are not tied to one vendor or one model version.
New to structured prompts? Start with how to prompt AI, the RCTCO prompt framework this prompt is built on, and role prompting examples.