U0255 Collab Auto Retry And Backoff Coordinator

Collab Auto-Retry and Backoff Coordinator

Why This Skill Exists

We need this skill because multi-agent systems underperform without explicit conflict resolution. This specific skill improves success rates while preventing retry storms.

When To Use

Use this skill when the request explicitly needs "Collab Auto-Retry and Backoff Coordinator" outcomes in the Collaboration and Negotiation domain.

Step-by-Step Implementation Guide

1. Define the scope and success metrics for Collab Auto-Retry and Backoff Coordinator, including at least three measurable KPIs tied to deadlocks and degraded trust.
2. Design and version the input/output contract for proposals, contention signals, and negotiated outcomes, then add schema validation and failure-mode handling.
3. Implement the core capability using adaptive backoff control, and produce retry policy decisions 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 deadlocks and degraded trust, 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: general-capability using adaptive backoff control to produce retry policy decisions.
• Orchestration integration: collaboration-and-negotiation:general-capability routing, approval gates, retries, and rollback controls.
• Validation evidence: unit, integration, simulation, regression-baseline suites and rollout telemetry.

Operational Runbook

Preflight

• Confirm the Collab Auto-Retry and Backoff Coordinator request scope, source evidence, and measurable success criteria before execution.
• Verify feature flag skill_0255_collab-auto-retry-and-backoff-co, approval gates, and rollback owner before autonomous use.

Execution

• Execute adaptive backoff control with deterministic scoring and reproducible trace capture.
• Produce retry policy decisions 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 retry policy decisions, 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.