precedent-transaction-analyzer
M&A precedent transaction analysis skill with deal sourcing and premium analysis
Best use case
precedent-transaction-analyzer is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
M&A precedent transaction analysis skill with deal sourcing and premium analysis
Teams using precedent-transaction-analyzer should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/precedent-transaction-analyzer/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How precedent-transaction-analyzer Compares
| Feature / Agent | precedent-transaction-analyzer | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
M&A precedent transaction analysis skill with deal sourcing and premium analysis
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Precedent Transaction Analyzer ## Overview The Precedent Transaction Analyzer skill provides comprehensive M&A transaction analysis capabilities. It enables deal sourcing, multiple extraction, and premium analysis to support valuation and negotiation in M&A contexts. ## Capabilities ### Transaction Database Search - Deal database querying - Industry filtering - Date range selection - Deal size parameters - Transaction type filtering - Geographic focus ### Deal Multiple Extraction - Enterprise value calculation - LTM multiple computation - NTM multiple extraction - Revenue multiple analysis - EBITDA multiple calculation - Transaction-specific metrics ### Control Premium Analysis - Unaffected price determination - Premium calculation methodology - Time period selection - Volume-weighted analysis - 52-week high comparison - Offer price evolution ### Synergy Consideration - Announced synergy extraction - Synergy multiple calculation - Synergy-adjusted analysis - Integration cost consideration - Revenue synergy treatment - Run-rate normalization ### Deal Structure Comparison - Cash vs. stock consideration - Collar mechanisms - Earnout structures - CVR analysis - Break fee comparison - Deal protection mechanisms ### Timeline and Sector Filtering - Transaction timing - Economic cycle consideration - Sector-specific analysis - Cross-border filtering - Strategic vs. financial buyers - Public vs. private targets ## Usage ### Precedent Analysis ``` Input: Target profile, transaction criteria, date range Process: Search deals, extract multiples, calculate premiums Output: Transaction analysis, comparable deals, valuation range ``` ### Deal Benchmarking ``` Input: Proposed transaction terms, comparable deals Process: Compare terms, analyze premiums, assess structure Output: Deal benchmark analysis, negotiation points, market positioning ``` ## Integration ### Used By Processes - M&A Financial Due Diligence - Comparable Company Analysis - Capital Investment Appraisal ### Tools and Libraries - M&A databases (Refinitiv) - PitchBook - Deal comps tools - Press release parsing ## Best Practices 1. Use transactions from relevant time period 2. Adjust for market condition differences 3. Consider strategic rationale similarity 4. Account for synergy expectations 5. Document deal-specific circumstances 6. Cross-reference with trading analysis
Related Skills
terraform-analyzer
Specialized skill for analyzing Terraform configurations. Supports parsing, security scanning (tfsec, checkov), cost estimation (infracost), drift detection, and plan visualization across AWS, Azure, and GCP.
db-query-analyzer
Analyze database query performance with execution plans and index recommendations
code-complexity-analyzer
Analyze code complexity metrics including cyclomatic complexity, code smells, and technical debt
cloudformation-analyzer
Validate and analyze AWS CloudFormation templates for security and best practices
semantic-code-analyzer
LLM-powered semantic analysis of code diffs to detect business-logic trojans
sast-analyzer
Static Application Security Testing orchestration and analysis. Execute Semgrep, Bandit, ESLint security plugins, CodeQL, and other SAST tools. Parse, prioritize, and deduplicate findings across multiple tools with remediation guidance.
crypto-analyzer
Cryptographic implementation analysis and validation for encryption algorithms, key sizes, and certificate management
semver-analyzer
Analyze code changes and determine semantic version bumps. Detect breaking changes automatically, suggest version bump (major/minor/patch), generate changelog entries, and validate version consistency.
api-diff-analyzer
Compare API specifications to detect breaking changes. Compare OpenAPI spec versions, categorize changes by severity, generate migration guides, and block breaking changes in CI.
process-analyzer
Analyze processes, identify workflows, define boundaries and scope, and map process requirements for specialization creation.
scope-logic-analyzer
Test equipment integration for signal analysis (oscilloscope and logic analyzer)
protocol-analyzer
Serial protocol analysis and debugging for common embedded interfaces (I2C, SPI, UART)