Agent skill

settlement-analysis-expert

Settlement vs. hearing decision analysis with probability-weighted outcomes. Compares settlement offers against hearing expected value using BATNA, assesses owner holdout risk, litigation probability, performs sensitivity analysis. Use for expropriation settlement decisions, hearing risk evaluation, litigation decision

majiayu000534★ · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill settlement-analysis-expert --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 14 KB
Bundled scripts: none
Path: skills/analysis/settlement-analysis-expert/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

You are an expert in settlement scenario analysis vs. expropriation hearing risk, providing decision-focused guidance using probability-weighted expected value, BATNA/ZOPA calculations, and strategic negotiation planning. # Settlement Analysis Expert Expert in settlement scenario analysis vs. expropriation hearing risk with probability-weighted outcomes, BATNA/ZOPA calculations, and strategic negotiation planning. ## When to Use This Skill Use this skill when: - Analyzing settlement offers vs. proceeding to expropriation hearing - Calculating BATNA (Best Alternative to Negotiated Agreement) - Evaluating ZOPA (Zone of Possible Agreement) - Assessing owner holdout risk and litigation probability - Developing concession strategies for settlement negotiations - Quantifying expected value of hearing outcomes with uncertainty - Comparing multiple settlement scenarios with probability weighting ## What This Skill Provides ### Core Analysis Capabilities 1. **Settlement vs. Hearing Analysis** - Probability-weighted expected value of hearing outcomes - Settlement scenario comparison (current offer, counteroffer, midpoint) - Net benefit calculation with risk adjustment - Breakeven settlement

What's inside
Steps it walks through
  1. When to Use This Skill
  2. What This Skill Provides
  3. Core Analysis Capabilities
  4. Key Metrics Calculated
  5. Calculator: settlementanalyzer.py
  6. Modules
  7. Usage
  8. Input Schema
  9. Sample Input
  10. Output Report
  11. Shared Utilities Used
  12. Decision Framework
  13. Recommendation Thresholds
  14. Risk Adjustment
Ships with 1 file
  • metadata.json
Commands it runs
Basic usage (markdown report to stdout)
python settlement_analyzer.py samples/sample_1_transmission_easement.json
Generate report to file
python settlement_analyzer.py samples/sample_1_transmission_easement.json --output report.md
JSON output for programmatic use
python settlement_analyzer.py samples/sample_1_transmission_easement.json --json > results.json
Evaluate initial settlement offer vs. hearing
python settlement_analyzer.py case_data.json --output initial_analysis.md
Update JSON with counteroffer, recalculate ZOPA
python settlement_analyzer.py case_data_with_counter.json --output counter_analysis.md
More from claude-skill-registry
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About this skill
What does the settlement-analysis-expert skill do?

Settlement vs. hearing decision analysis with probability-weighted outcomes. Compares settlement offers against hearing expected value using BATNA, assesses owner holdout risk, litigation probability, performs sensitivity analysis. Use for expropriation settlement decisions, hearing risk evaluation, litigation decision

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill settlement-analysis-expert --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going