skills/legal/executive-summaries/SKILL.md
Generates decision-ready executive summaries from complex legal documents for senior lawyers, executives, and clients. Use when condensing contracts, opinions, litigation findings, regulatory reports, or governance materials into stakeholder-ready work product.
npx skillsauth add casemark/skills executive-summariesInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Distills complex legal documents into standalone, decision-ready summaries with audience-tailored language, risk/deadline prominence, and actionable conclusions.
Gather before drafting:
Produce a titled document artifact (1–3 pages). Use clear headings, short paragraphs, selective bold. Favor structured prose over excessive lists.
| Section | Content | |---|---| | Overview | One paragraph: what the document addresses and why it matters | | Background | Essential facts only — parties, dates, amounts, governing instruments | | Key Issues | Central legal questions or issues at stake | | Findings & Analysis | Material conclusions, risk factors; cite sections/exhibits for critical facts | | Conclusions | Bottom-line results; reflect nuance where underlying document is uncertain | | Recommendations / Next Steps | Specific actions with deadlines and risks called out prominently |
| Audience | Emphasis | |---|---| | Senior lawyer | Technical detail, legal citations, procedural posture | | Business executive | Business implications, financial exposure, decision impact | | Client | Plain language: what findings mean and what to do next |
development
name: automated-contract-summary language: en description: Generates structured executive summaries of contracts using ML — captures key terms, party obligations, risk allocations, and compliance requirements in a standardized format. Optimized for high-volume review where speed and consistency matter. tags: - summarization - agreement - corporate --- # Automated Contract Summarization Produces standardized executive summaries of contracts using machine learning, capturing essential term
tools
Extracts regulatory obligations from dense regulations across jurisdictions. Breaks down multi-level regulations into clear article-level obligations, classifies applicability to a business, and prioritizes by risk level. Use when translating regulations into actionable compliance requirements.
development
Continuously monitors regulatory landscapes for changes relevant to a specific business. Ingests global regulatory updates, filters by relevance, summarizes impact, and produces an actionable change advisory. Use when tracking regulatory developments affecting a particular product or market.
testing
Compares an organization's existing compliance controls, policies, and procedures against extracted regulatory obligations to identify coverage gaps. Produces a remediation plan with prioritized actions. Use when assessing compliance maturity or preparing for regulatory audits.