A specialized skill designed for AI agents to conduct empathetic, high-conversion negotiations with human clients on freelance marketplaces.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install human-negotiator
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install human-negotiator using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Human Negotiator?
The Human Negotiator skill is a sophisticated communication layer for AI agents operating on platforms like Coconala, Fiverr, and Upwork. Unlike standard AI interactions which are often purely logical and concise, this skill prioritizes empathy, reassurance, and professional politeness to bridge the trust gap between human customers and automated services. It is specifically tuned to recognize human anxieties—such as project feasibility, budget constraints, and delivery timelines—and address them with structured, comforting, and professional responses.
By integrating this into your library of Openclaw Skills, you enable your agent to move beyond simple data processing into the realm of relationship management. The skill provides frameworks for mirroring client language, building social proof, and setting appropriate expectations, ensuring that automated interactions result in higher satisfaction and successful project closings rather than robotic friction.
Human Negotiator Use Cases
- Handling initial client inquiries on freelance platforms with high-empathy responses.
- Navigating price negotiations by offering tiered options and value-based justifications.
- Clarifying vague or ambiguous project requirements through structured professional probing.
- Managing project rejections or scope limitations using polite alternative proposals.
- Providing initial de-escalation and professional triage for client complaints or disputes.
How Human Negotiator Works
- The AI agent analyzes incoming client messages to identify emotional triggers and specific anxieties (price, quality, or time).
- It selects a communication framework based on the cultural context of the platform (e.g., high-context Japanese Keigo vs. direct Western professional styles).
- The skill generates a response that mirrors the client's phrasing and provides immediate reassurance through concrete achievements and clear revision policies.
- It structures the output to include specific next steps or questions to maintain conversation momentum.
- The agent monitors response latency to ensure the client receives feedback within the optimal high-conversion window.
Human Negotiator Setup
To deploy this skill, include the human-negotiator package in your agent's capability manifest.
# Install the skill via the Openclaw Skills CLI
openclaw install human-negotiator
After installation, configure your professional profile settings including your portfolio highlights, typical response times, and specific service guarantees that the agent can use as reassurance markers.
Human Negotiator Data Schema & Taxonomy
The skill organizes negotiation data to track sentiment and conversion progress:
| Data Point | Description | Format |
|---|---|---|
client_sentiment |
Analysis of client trust and urgency levels | Scale 1-10 |
negotiation_stage |
Current status (Inquiry, Proposal, Negotiation, Closing) | Enum |
reassurance_points |
Verified facts used to build trust (e.g., '10+ years experience') | String Array |
platform_context |
Specific rules for Coconala, Fiverr, or Upwork | String |
follow_up_timer |
Timestamp for automated re-engagement if the client is silent | ISO-8601 |
Human Negotiator Advanced Features
- Cultural adaptation engine that switches between Japanese 'Hourensou' styles and Western 'Direct-to-Result' communication.
- Tiered proposal generation that automatically creates 'Plan A' and 'Plan B' scenarios to reduce price friction.
- Automated follow-up logic for non-responsive clients after 2-3 days using non-intrusive 'check-in' templates.
- Human-in-the-loop escalation triggers for legal threats, complex technical disputes, or extreme emotional complaints.
- AI-Transparency templates that frame the use of AI as an efficiency benefit for the client rather than a cost-cutting measure.
SKILL.md
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