Claude Skill File Applies Negotiation Theory to Email Composition

A developer on r/ClaudeAI shared a SKILL.md file they built that applies negotiation theory to email composition. The skill specifically uses negotiation frameworks including BATNA (Best Alternative to a Negotiated Agreement), anchoring, and reciprocity.
How the Skill Works
The skill changes Claude's email generation approach in several specific ways:
- Before skill: Claude produces a single polite, generic email
- With skill: Claude first assesses the situation by analyzing stakes, leverage, power dynamics, and your fallback position
- The skill then generates 2-3 email variants optimized for different outcomes
- Each variant includes tradeoff analysis
Technical Implementation Details
The developer noted several key technical aspects:
- Claude knows about negotiation theory but doesn't apply it to email writing unless explicitly structured to do so
- The SKILL.md loads scenario-specific playbooks from reference files only when relevant
- This selective loading approach keeps token costs low
- The skill forces Claude to apply negotiation frameworks that it already understands conceptually
The developer mentioned being available to answer questions about how skill files work and how they structured this particular implementation.
📖 Read the full source: r/ClaudeAI
👀 See Also

Exploring Non-Coding Use Cases of OpenClaw
OpenClaw extends beyond coding workflows with applications in areas like smart glasses integration, car control via Telegram, and more.

Developer Builds 6 Claude AI Agents to Manage 15 Side Projects
A developer with a full-time engineering job created six specialized Claude agents to handle daily operations for 15 side projects, using Claude Code, markdown files, and git worktrees without a custom platform.

Practical AI Support Improvements from Claude Code Leak Analysis
A developer analyzed the Claude Code source leak and implemented six specific changes to their Chatbase setup: overhauling text snippets, adding sentiment analytics, building structured Q&A pairs, creating adversarial testing agents, connecting actions to tools, and cross-referencing topics.

OpenClaw Agent Burned $20 in API Tokens Due to Web Scraping Context Bloat
A developer building an OpenClaw agent to monitor financial sites accidentally consumed $20 worth of API tokens in a few hours by fetching Yahoo Finance pages that included 609,000 tokens of extraneous HTML like nav bars and cookie banners in the context window.