zwright8 Comms Experiment Design Generator
Mission
We need this skill because complex systems require explanations humans can act on quickly. This specific skill converts unknowns into testable learning loops.
Activation Cues
- Task requires hypothesis-driven design in Communication and Explainability.
- Task needs explicit risk controls, approval gates, and traceable outcomes.
- Task output must include artifact handoff for humans and agents.
Execution Plan
- Define the scope and success metrics for
Comms Experiment Design Generator, including at least three measurable KPIs tied to misinterpretation and trust erosion. - Design and version the input/output contract for decision factors, uncertainty markers, and audience summaries, then add schema validation and failure-mode handling.
- Implement the core capability using hypothesis-driven design, and produce experiment plans with deterministic scoring.
- Integrate the skill into swarm orchestration: task routing, approval gates, retry strategy, and rollback controls.
- Add unit, integration, and simulation tests that explicitly cover misinterpretation and trust erosion, then run regression baselines.
- Deploy behind a feature flag, monitor telemetry/alerts for two release cycles, and iterate thresholds based on observed outcomes.
Runbook
Preflight:
- None specified.
Execution:
- None specified.
Recovery:
- None specified.
Handoff:
- None specified.
Guardrails
- [quality] Require validations before promoting outputs.
Success Metrics
- Primary metric: misinterpretation
- Secondary metrics: trust erosion, decision drift
- Review cadence: weekly
Output Contract
- Return a concise execution summary with key decisions.
- Return risk and mitigation notes with unresolved blockers.
- Return artifact target:
experiment plans. - Return recommended follow-up tasks for next wave execution.