Find agent skills by outcome

description: It helps spot which questions actually change a conversation and which ones don’t. Rath...

it pays attention to what a question does to the conversation itself.

Socratic Lens

When user provides a corpus/conversation set

run this chain FIRST:

fields: [ts

chosen_scale

{ step: 6

title: Astral Question

{ step: 5

title: Compass

{ step: 3

title: Map

{ step: 4

title: Mirror

{ step: 2

title: Echo

autotriggers: [highvolatility

recent_event]

autotriggers: [definitionchange

method_dispute]

{ step: 1

title: Breath

meaning: Limited scope (time

group

autotriggers: [secondaryonly

missing_primary]

autotriggers: [subgrouponly

shorttimewindow]

tr: Ön veri

kesinleşmemiş sonuç

autotriggers: [conflictingsources

divergent_trends]

autotriggers: [earlyrelease

limited_sample]

signals_used: [engagement

usersatisfactionproxy

note: Small adjustments in the short term

a ceiling that prevents overfitting in the long term.

bounds: { per_turn: 0.05

total: 0.3 }

if: { signal: uncertainty

op: >

whatcannotchange: [symmetry_constraints

identity.principles]

note: Scale is selected according to defined triggers; in case of a tie

meso is preferred.