Problem-to-Skill Diagnostic.
Clarify the real goal, expose hidden assumptions, and choose the next useful step.
Turn the knowledge behind recurring work into explicit instructions, trusted sources, decision rules, and tests your team can inspect.
Clarify the real goal, expose hidden assumptions, and choose the next useful step.
Define the inputs, sources, decision logic, exceptions, outputs, and human checkpoints.
Build a working skill, test representative cases, and hand over the instructions and evaluation results.
A clear purpose. Defined inputs. Trusted sources. Decision rules. Exception handling. Human checkpoints. Output examples. Acceptance tests.
The right outcome may be better documentation, AI assistance, a custom skill, or a specification for software. We decide from the process and the evidence.