Fu Haitang Framework

Problem

In professional workflows, many judgments depend on expert frameworks, but inside an agent conversation they can easily degrade into generic advice: context is scattered, steps are hard to reproduce, and boundaries are unclear. The Fu Haitang Framework skill is published under @user_231765ee/fuhtang and targets professional scenarios, giving a named entry point for a domain-specific framework that can be referenced, checked, and reused across sessions. The issue it addresses is not simply a lack of tools; it is turning an existing framework into a stable context structure that a model can invoke repeatedly without re-explaining the framework each time.

How It Works

The skill does not replace the underlying business process; it exposes a stable invocation surface for the Fu Haitang framework. In practice, you can first define the task object, such as source material, constraints, and expected output format, then ask the skill to organize the answer from the framework’s perspective. A useful pattern is:
- Define inputs: provide business context, known conditions, decision points, and limitations;
- Constrain outputs: request a conclusion, procedure, checklist, review notes, or risk summary;
- Check boundaries: flag uncertain professional judgments for human review, instead of treating the framework name as a complete rulebook.

Boundaries

Because the public SKILL.md body is unreadable in the provided material, the detailed triggers, parameters, and workflow are not fully specified. For tasks involving compliance, medical, legal, financial, or safety-critical operations, the framework’s original documentation, owner confirmation, and domain standards should take precedence. Use this skill as a reusable entry point for the Fu Haitang framework for structured questioning, output organization, and scenario validation; it is not a standalone business system, autonomous decision engine, or execution workflow that removes the need for human review.