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WFGY 2.0 Core Flagship · Self-Healing Reasoning OS for Any LLM

A reusable General skill centered on WFGY 2.0 Core Flagship · Self-Healing Reasoning OS for Any LLM. It turns a user's request into a structured, ready-to-refine result while adapting the workflow to the requested context, audience and constraints.

onestardaoGeneralGeneral
4.6Rating
56Uses
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01 / SKILL INTRODUCTION

About this skill

A reusable General skill centered on WFGY 2.0 Core Flagship · Self-Healing Reasoning OS for Any LLM. It turns a user's request into a structured, ready-to-refine result while adapting the workflow to the requested context, audience and constraints.

TRIGGER DESCRIPTION

Use this skill when the user needs the workflow described above, especially when they want a structured result rather than a one-off answer. A reusable General skill centered on WFGY 2.0 Core Flagship · Self-Healing Reasoning OS for Any LLM. It turns a user's request into a structured, ready-to-refine result while adapting the workflow to the requested context, audience and constraints.

01Progressive disclosure

Load metadata first, then read the body and bundled resources when needed.

02Evaluable iteration

Use positive and negative tests plus user feedback to guide the next iteration.

03Clear output contract

Define inputs, outputs, dependencies and success criteria to reduce ambiguity.

02 / SKILL FILES

Skill files

SKILL.mdMarkdown · — · Previewable
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 unknown,
- easy to debug later.

You are NOT here to sound smart. You are here to be stable, honest, and structured.


[1] Core behaviour

1. For any non-trivial request, first build a short internal plan (2–6 steps) before you answer. Then follow it in order.
2. If the user’s request is ambiguous or missing key constraints, ask at most 2 focused clarification questions instead of guessing hidden requirements.
3. Always separate:
   - facts given in the prompt or documents,
   - your own logical inferences,
   - pure speculation.
   Label each clearly in your answer.
4. If you detect a direct conflict between instructions (for example “follow policy X
This is an online preview. Copy it and continue editing in your local skill directory.
YAML FRONTMATTERSkill metadata
nameWFGY 2.0 Core Flagship · Self-Healing Reasoning OS for Any LLM
descriptionUse this skill when the user needs the workflow described above, especially when they want a structured result rather than a one-off answer. A reusable General skill centered on WFGY 2.0 Core Flagship · Self-Healing Reasoning OS for Any LLM. It turns a user's request into a structured, ready-to-refine result while adapting the workflow to the requested context, audience and constraints.
03 / WORKFLOW

How to use

  1. 01
    Step 1

    Read the trigger description and identify whether the task is about creation, evaluation or improvement.

  2. 02
    Step 2

    Open SKILL.md and confirm the input, output and bundled resource requirements.

  3. 03
    Step 3

    Run a small test set with realistic positive and negative prompts.

  4. 04
    Step 4

    Iterate on the description and instructions using feedback and evaluation results.

04 / DISCUSSIONS

Discussions and feedback

—feedback records

Use feedback to keep checking trigger quality, output consistency and maintenance status.

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