U0464 Education Explainability Narrative Builder

Education Explainability Narrative Builder

Why This Skill Exists

We need this skill because human capability growth requires targeted planning under constraints. This specific skill translates technical decisions into operator-usable narratives.

When To Use

Use this skill when the request explicitly needs "Education Explainability Narrative Builder" outcomes in the Education and Upskilling domain.

Step-by-Step Implementation Guide

1. Define the scope and success metrics for Education Explainability Narrative Builder, including at least three measurable KPIs tied to persistent skill gaps and poor learning outcomes.
2. Design and version the input/output contract for skill profiles, learning paths, and support resources, then add schema validation and failure-mode handling.
3. Implement the core capability using reason synthesis and abstraction, and produce decision narratives with deterministic scoring.
4. Integrate the skill into swarm orchestration: task routing, approval gates, retry strategy, and rollback controls.
5. Add unit, integration, and simulation tests that explicitly cover persistent skill gaps and poor learning outcomes, then run regression baselines.
6. Deploy behind a feature flag, monitor telemetry/alerts for two release cycles, and iterate thresholds based on observed outcomes.

Required Deliverables

• Capability contract: input schema, deterministic scoring, output schema, and failure modes.
• Runtime profile: communication-engine using reason synthesis and abstraction to produce decision narratives.
• Orchestration integration: education-and-upskilling:communication-engine routing, approval gates, retries, and rollback controls.
• Validation evidence: unit, integration, simulation, regression-baseline suites and rollout telemetry.

Operational Runbook

Preflight

• Confirm the Education Explainability Narrative Builder request scope, source evidence, and measurable success criteria before execution.
• Verify feature flag skill_0464_education-explainability-narrati, approval gates, and rollback owner before autonomous use.

Execution

• Execute reason synthesis and abstraction with deterministic scoring and reproducible trace capture.
• Produce decision narratives plus scorecard, assumptions, and unresolved-risk notes.

Recovery

• Fail closed when required signals, evidence, or approval gates are missing.
• Rollback to the last stable baseline when posture is critical or validation fails.

Handoff

• Publish decision narratives, validation evidence, and telemetry links to downstream owners.
• Queue follow-up tasks for unresolved risks, threshold tuning, or approval review.

Guardrails

• [quality] Require deterministic scoring and validation evidence before promotion.
• [reliability] Preserve retries, rollback controls, and failure-mode evidence for every run.
• [safety] Route critical posture or missing approval gates to human review before autonomous action.