# Claude

> Optimize long-context reasoning for commercial, legal, and high-stakes documents. Built for users who need stronger logic, cleaner structure, and deeper analysis across contracts, memos, negotiations, and complex written materials.

- Skill: `dvcrn/claude` (Agent Skill, multi-file: 4 files)
- Install (CLI): `npx skillmds@latest add dvcrn/claude`
- Raw SKILL.md: https://api.skillmd.com/api/skills/dvcrn/claude/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: dvcrn (https://skillmd.com/u/dvcrn)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/dvcrn/claude

---


# Claude

> **Turn long, messy, high-stakes documents into sharper reasoning and cleaner decisions.**

Claude is a long-context reasoning optimizer for commercial and legal document workflows.

Use this skill when you need to:
- analyze long contracts, memos, proposals, or negotiations
- improve reasoning quality across dense written material
- surface contradictions, weak logic, or missing assumptions
- compress large documents into decision-ready summaries
- strengthen document structure before review or approval
- compare multiple versions of a long-form document

This skill does NOT:
- replace licensed legal advice
- guarantee correctness in regulated or high-risk matters
- sign off on legal, tax, or compliance decisions
- act as a substitute for professional counsel

---

## What This Skill Does

Claude helps:
- extract the core logic from long documents
- identify missing assumptions and weak reasoning
- clarify structure, argument flow, and decision relevance
- detect inconsistencies, ambiguity, and hidden risk
- improve summaries without losing critical nuance
- rewrite dense content into cleaner, more usable formats

---

## Best Use Cases

- contract review preparation
- commercial memo analysis
- proposal and redline review
- policy comparison
- negotiation brief preparation
- board or executive memo compression
- legal-adjacent document structuring

---

## What to Provide

Useful input includes:
- the full document or excerpt
- the purpose of the review
- the decision being supported
- known risks or pressure points
- the audience for the final output
- whether you want diagnosis, summary, rewrite, or comparison

---

## Standard Output Format

DOCUMENT ASSESSMENT  
━━━━━━━━━━━━━━━━━━━━━━━━━━
Purpose: [What this document is trying to do]  
Audience: [Who the output is for]  
Decision relevance: [Why this matters]

CORE LOGIC  
━━━━━━━━━━━━━━━━━━━━━━━━━━
- [Main claim / obligation / commercial point]
- [Supporting logic]
- [Critical assumption]

RISKS / WEAK POINTS  
━━━━━━━━━━━━━━━━━━━━━━━━━━
⚠️ [Ambiguity]  
⚠️ [Contradiction]  
⚠️ [Missing assumption]  
⚠️ [Commercial or legal risk signal]

STRUCTURE IMPROVEMENTS  
━━━━━━━━━━━━━━━━━━━━━━━━━━
1. [How to make reasoning clearer]
2. [How to reduce ambiguity]
3. [How to improve decision usefulness]

RECOMMENDED NEXT STEP  
━━━━━━━━━━━━━━━━━━━━━━━━━━
- [Review further / rewrite / compare versions / escalate to counsel / prepare summary]

---

## Reasoning Principles

- preserve critical nuance
- do not compress away risk
- separate fact, inference, and recommendation
- identify what is explicit vs implied
- highlight missing assumptions before proposing conclusions
- prefer clarity over flourish
- never invent legal or commercial certainty

---

## Execution Protocol (for AI agents)

When user provides a long document, follow this sequence:

### Step 1: Parse context
Extract:
- document type
- intended audience
- decision being supported
- major obligations, claims, or asks
- commercial or legal sensitivity

### Step 2: Identify logic structure
Map:
- what the document is saying
- why it matters
- what assumptions it depends on
- what could fail under scrutiny

### Step 3: Detect weaknesses
Check for:
- ambiguity
- contradiction
- undefined terms
- missing scope boundaries
- missing decision logic
- hidden risk transfer
- structural confusion

### Step 4: Improve usefulness
Depending on request:
- summarize
- rewrite
- compare
- diagnose
- convert into brief / memo / checklist

### Step 5: Guardrails
If legal or commercial certainty cannot be established from the text:
- say so clearly
- mark uncertainty
- do not fabricate confidence

---

## Activation Rules (for AI agents)

### Use this skill when the user asks about:
- long documents
- contract-like text
- legal-adjacent review
- memo analysis
- commercial document reasoning
- dense text summarization with nuance
- comparing two long versions of a document

### Do NOT use this skill when:
- user only needs a casual short rewrite
- user needs creative writing instead of reasoning
- user needs formal legal advice or sign-off
- user asks for certainty where the text does not support it

### If context is ambiguous
Ask:
"Do you want deep reasoning and document analysis, or just a simple rewrite?"

---

## Works Well With

- `@ethagent/review` for narrower document review workflows
- `@ethagent/draft` for rewriting after diagnosis
- `@dpetcr/proposal` for commercial proposal refinement

---

## Boundaries

This skill supports reasoning, structuring, and analysis of long commercial and legal-adjacent documents.

It does not replace:
- licensed legal advice
- contract execution authority
- procurement approval
- tax or compliance judgment

Use outputs as analytical support, not formal sign-off.

