Engineering Multi-Agent Negotiation Mediator

Engineering Multi-Agent Negotiation Mediator

Why This Skill Exists

We need this skill because delivery speed must increase without sacrificing correctness. This specific skill resolves resource and strategy conflicts with explicit tradeoffs.

Step-by-Step Implementation Guide

1. Define the scope and success metrics for Engineering Multi-Agent Negotiation Mediator, including at least three measurable KPIs tied to regressions and brittle release pipelines.
2. Design and version the input/​output contract for code changes, tests, incidents, and rollout data, then add schema validation and failure-mode handling.
3. Implement the core capability using structured bargaining protocols, and produce negotiated agreement sets 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 regressions and brittle release pipelines, then run regression baselines.
6. Deploy behind a feature flag, monitor telemetry/​alerts for two release cycles, and iterate thresholds based on observed outcomes.

Metadata

• Skill ID: 542
• Skill Name: u0542-engineering-multi-agent-negotiation-mediator
• Domain: Software Engineering Automation
• Domain Slug: software-engineering-automation
• Archetype: collaboration-mediator
• Core Method: structured bargaining protocols
• Primary Artifact: negotiated agreement sets
• Routing Tag: software-engineering-automation:collaboration-mediator
• Feature Flag: skill_0542_engineering-multi-agent-negotiat
• Release Cycles: 2

Allowed Tools

• read, write, edit for contract maintenance, runbook updates, and handoff documentation.
• exec, process for deterministic execution, validation suites, and regression checks.
• web_search, web_fetch only when fresh external evidence is required for claims/​evidence inputs.
• Use messaging or publishing tools only after policy approval gates are satisfied.

Inputs (formatted)

Outputs (formatted)

Guidelines

1. Validate required inputs before execution and reject non-conforming payloads early.
2. Run structured bargaining protocols with deterministic settings and trace capture enabled.
3. Produce negotiated agreement sets outputs in machine-readable form for orchestrator/​operator use.
4. Keep routing aligned with software-engineering-automation:collaboration-mediator and include approval context.
5. Tune thresholds incrementally based on observed KPI drift and incident learnings.

Musts

• Enforce approval gates: policy-constraint-check, human-approval-router.
• Apply retry policy: maxAttempts=3, baseDelayMs=900, backoff=exponential.
• Run validation suites before release: unit, integration, simulation, regression-baseline.
• Fail closed when validation gates fail and execute rollback strategy rollback-to-last-stable-baseline.
• Preserve reproducible evidence artifacts for audits and downstream handoff.

Targets (day/​week/​month operating cadence)

• Day: Validate new upstream signals, execute deterministic run, and hand off outputs for active decisions.
• Week: Review KPI focus (regressions, brittle release pipelines, decision drift), failure trends, and approval/​retry performance.
• Month: Re-baseline deterministic expectations, confirm policy alignment, and refresh feature-flag/​rollout posture.

Common Actions

1. Intake Check: Confirm all required signals are present and schema-valid.
2. Core Execution: Run the capability pipeline and generate report + scorecard artifacts.
3. Gate Review: Evaluate validation and approval gates before publish-level handoff.
4. Recovery: Retry transient failures, then rollback to stable baseline on persistent errors.
5. Handoff: Send artifacts with risk/​confidence metadata and downstream routing hints.

External Tool Calls Needed

• None required by default.
• If external systems are introduced for a run, record the dependency, timeout budget, and retry behavior in execution notes.

Validation & Handoff

Validation Gates

• schema-contract-check: All required input signals present and schema-valid (on fail: quarantine)
• determinism-check: Repeated run on same inputs yields stable scoring and artifacts (on fail: escalate)
• policy-approval-check: Approval gates satisfied before publish-level outputs (on fail: retry)

Validation Suites

• unit
• integration
• simulation
• regression-baseline

Failure Handling

• E_INPUT_SCHEMA: Missing or malformed required signals → Reject payload, emit validation error, request corrected payload
• E_NON_DETERMINISM: Determinism delta exceeds allowed threshold → Freeze output, escalate to human approval router
• E_DEPENDENCY_TIMEOUT: Downstream or external dependency timeout → Apply retry policy then rollback to last stable baseline

Handoff Contract

• Produces: Engineering Multi-Agent Negotiation Mediator normalized artifacts, execution scorecard, risk posture
• Consumes: code changes, tests, incidents, rollout data, claims, evidence, confidence traces
• Downstream Hint: Route next to software-engineering-automation:collaboration-mediator consumers with approval-gate context