| name | reflect-digest |
| description | Read durable reflect projections, group repeated signals by skill, and emit validated handoffs to skill-lab improve when the evidence clears configured floors. |
| runx | {"category":"authoring"} |
Reflect Digest
Turn repeated post-run reflection signals into bounded improvement work without
re-diagnosing one receipt or drafting a parallel pull-request artifact.
The graph reads durable reflect events through data-store, admits explicit
replay projections when supplied, applies deterministic confidence and support
floors, then asks one bounded agent act to describe at most one improvement per
skill. A final deterministic step verifies every cited receipt belongs to that
skill's group and emits a skill-lab improve handoff.
The skill does not write a package, open a pull request, publish, or invoke the
mutating improvement runner. The handoff preserves the target, objective,
receipt evidence, and non-goals for later governed execution.
Inputs
reflect_projections: explicit projections for replay; otherwise durable
state is read from data_source_ref and state_resource.skill_filter, since: optional read bounds.min_support: minimum number of admitted projections for one skill.min_confidence: minimum confidence for each admitted projection.
Outputs
proposals: validated skill-specific improvement opportunities.skill_lab_handoffs: executable request packets naming skill-lab, runner
improve, target directory, objective, primary receipt, evidence summary,
and supporting receipt ids.
