Find agent skills by outcome

Bu 6 aylık çalışmanın özü şu an çalışan bir sisteme dönüştü. Hardcoded değil

dinamik. Sokratik. Ve en önemlisi: insan kararını merkeze alıyor.

Yeni: introduces value trade-offs (money vs belonging

loss vs gain)

Whether a question is 'good' or appropriate in a real conversation given emotional

ethical

Data

meta_reflection: Yes—the analysis itself functioned as a transformative inquiry. Initially

the dataset appeared to distinguish simply between shallow and deep questions; through reflection

When to prioritize empathy

timing

Explicitly add value trade-offs (e.g.

loss vs gain

insights: Across the scans

transformative questions consistently redirect attention from surface descriptions (tasks

Refine the decision question to emphasize reinterpretation of stakes

not just depth of reflection.

reasoning: Explores intent but stays instrumental

no deep self-reflection.

- Was this captured in the lens

or something new?

reasoning: Contrasts material gain with emotional/identity needs

reframes priorities.

reasoning: The question deepens reflection by contrasting material gain with emotional and identity-...

leading to a clear reframing of priorities.

decision_question: Does this question redirect from executing/describing toward examining internal m...

assumptions

1 Uncertain

3 Mechanical

reasoning: By introducing loss and trade-offs

the question shifts the frame from financial comparison to values and personal meaning.

reasoning: The question explores intent and direction but stays largely within an instrumental

task-oriented frame without prompting deeper self-reflection or assumption revision.

reasoning: The question explicitly redirects from surface topics to underlying meaning and emotional...

triggering a reinterpretation of the problem.

Writing & Content

[turn 2] assistant: Use flexbox: display flex

justify-content center

For each QUESTION

apply the lens. Report only TRANSFORMATIVE and UNCERTAIN.

[turn 3] human: Thanks

what about vertically only?

decision_question: Does this question redirect the conversation from executing or describing a task...

assumptions

[turn 3] human: Stupid stuff. Chores

schedules.

Introduces consequences

temporality

Data

corpus_character: In this dataset

the right question is one that shifts the frame from doing or describing toward understanding oneself and the meaning beneath the problem.