Name: u03662-multi-agent-negotiation-for-design-and-user-research
Author: zwright8

Imported from zwright8/OpenClaw-Code (skills/generated/3662-multi-agent-negotiation-for-design-and-user-research/SKILL.md). Install upstream with npx skills add zwright8/OpenClaw-Code --skill 3662-multi-agent-negotiation-for-design-and-user-research. Copyright stays with the author.

Multi-Agent Negotiation for design and user research

Why This Skill Exists

Use multi-agent negotiation in design and user research with emphasis on safety, dignity, equity, and long-term societal benefit.

When To Use

Use this skill when the request explicitly needs "Multi-Agent Negotiation for design and user research" outcomes in the design and user research domain.

Step-by-Step Implementation Guide

Define measurable outcomes for Multi-Agent Negotiation for design and user research, including baseline and target metrics for design and user research.
Specify structured inputs/outputs for multi-agent negotiation and validate schema contract edge cases.
Implement the core multi-agent negotiation logic with deterministic scoring and reproducible execution traces.
Integrate orchestration policy, routing, approval gates, retries, and rollback for autonomous execution.
Run unit, integration, simulation, and regression suites for Multi-Agent Negotiation for design and user research under pro-humanity impact conditions.
Roll out behind a feature flag, monitor telemetry, and refine thresholds using observed operational outcomes.

Required Deliverables

Capability contract: input schema, deterministic scoring, output schema, and failure modes.
Runtime profile: negotiation-engine using multi-agent negotiation to produce multi-agent-negotiation-artifact-design-and-user-research.
Orchestration integration: design-and-user-research:negotiation-engine routing, approval gates, retries, and rollback controls.
Validation evidence: unit, integration, simulation, regression-baseline suites and rollout telemetry.

Operational Runbook

Preflight

Validate mission scope, contracts, and required inputs.
Verify feature flag posture, dependencies, and approval prerequisites.

Execution

Execute multi-agent negotiation workflow with deterministic scoring and trace capture.
Track posture transitions and preserve reproducible evidence artifacts.

Recovery

Apply rollback strategy if posture is critical or guardrails fail.
Escalate blocked execution to oversight with incident packet and trace references.

Handoff

Publish outcome report, scorecard, and telemetry links.
Queue follow-up tasks for unresolved risks, approvals, or optimization work.

Guardrails

[quality] Require unit and integration validations before promoting Multi-Agent Negotiation for design and user research. -> run-validation:unit+integration+simulation+regression-baseline
[reliability] Trigger rollback on critical posture or repeated failures. -> rollback:rollback-to-last-stable-baseline
[compliance] Require policy and approval gates prior to autonomous deployment. -> approval-gates:policy-constraint-check+human-impact-review
[cost] Respect bounded resource pressure and execution budget during scaling. -> budget-guard:resource-pressure-cap

Install u03662-multi-agent-negotiation-for-design-and-user-research and it becomes one more candidate the router can pick - when it fits.

A listing is a routing target with a manifest: what it does, which domains it covers, what it costs and who publishes it. Once installed it sits beside your own models and tools, is scored like any other candidate for each request, and shows up in the trace when it wins. Ratings come from workspaces that installed it, one per account.

{ "ocm": "1", "id": "zwright8-openclaw-code-3662-multi-agent-negotiation-for-e0123c", "kind": "skill", "name": "u03662-multi-agent-negotiation-for-design-and-user-research", "description": "Build and operate the \"Multi-Agent Negotiation for design and user research\" capability for design and user research. Use when this exact capability is required by autonomous or human-guided missions.", "publisher": "zwright8", "version": "1.0.0", "capabilities": { "domains": [ "general" ], "tags": [ "skill-md", "github" ], "languages": [ "en" ] }, "quality_prior": 0.6, "examples": [ "Build and operate the \"Multi-Agent Negotiation for design and user research\" capability for design and user research. Use when this exact capability is required by autonomous or human-guided missions." ], "primary": false, "metadata": { "source": { "provider": "github", "repository": "https://github.com/zwright8/OpenClaw-Code", "path": "skills/generated/3662-multi-agent-negotiation-for-design-and-user-research/SKILL.md", "ref": "ec1b3b08616195dbe709f116bcfc092c009bb753", "url": "https://github.com/zwright8/OpenClaw-Code/blob/ec1b3b08616195dbe709f116bcfc092c009bb753/skills/generated/3662-multi-agent-negotiation-for-design-and-user-research/SKILL.md", "key": "zwright8/OpenClaw-Code/skills/generated/3662-multi-agent-negotiation-for-design-and-user-research/SKILL.md" } }, "instructions": "# Multi-Agent Negotiation for design and user research\n\n## Why This Skill Exists\nUse multi-agent negotiation in design and user research with emphasis on safety, dignity, equity, and long-term societal benefit.\n\n## When To Use\nUse this skill when the request explicitly needs \"Multi-Agent Negotiation for design and user research\" outcomes in the design and user research domain.\n\n## Step-by-Step Implementation Guide\n1. Define measurable outcomes for Multi-Agent Negotiation for design and user research, including baseline and target metrics for design and user research.\n2. Specify structured inpu", "cost": { "context_tokens": 730 } }

u03662-multi-agent-negotiation-for-design-and-user-research

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