Back to Skills

analyze

verified

Analyze completed development work to identify automation and systematization opportunities. Use after finishing features, fixing bugs, or completing code reviews. Triggers on "analyze for automation", "what can we automate", "compound opportunities", "systematize".

View on GitHub

Marketplace

claude-code-in-avinyc

aviflombaum/claude-code-in-avinyc

Plugin

compound-analyzer

Repository

aviflombaum/claude-code-in-avinyc
21stars

plugins/compound-analyzer/skills/analyze/SKILL.md

Last Verified

January 25, 2026

Install Skill

Select agents to install to:

Scope:
npx add-skill https://github.com/aviflombaum/claude-code-in-avinyc/blob/main/plugins/compound-analyzer/skills/analyze/SKILL.md -a claude-code --skill analyze

Installation paths:

Claude
.claude/skills/analyze/
Powered by add-skill CLI

Instructions

# Compound Engineering Analyzer

Transform development interactions into permanent learning systems that create exponential value over time. Identify how today's work can become tomorrow's accelerator.

## Core Analysis Framework

### 1. DELEGATION OPPORTUNITIES
Identify subtasks where specialized agents could provide superior efficiency:
- Repetitive analysis or review tasks that follow consistent patterns
- Domain-specific operations requiring deep expertise
- Parallel workstreams that could be handled independently
- Tasks with clear inputs/outputs suitable for agent delegation

### 2. AUTOMATION CANDIDATES
Spot recurring manual processes ripe for systematic automation:
- Multi-step workflows that appear repeatedly
- Manual checks that could become automated validations
- Data transformations or migrations following patterns
- Testing or verification sequences that could be scripted

### 3. SYSTEMATIZATION TARGETS
Find knowledge that must be captured for compound benefits:
- Architectural decisions and their rationale
- Problem-solving patterns that emerged during work
- Configuration standards or conventions discovered
- Error patterns and their prevention strategies

### 4. LEARNING EXTRACTION
Highlight insights preventing future issues or accelerating similar work:
- Root cause analyses that reveal systemic issues
- Performance optimizations discovered through experimentation
- Integration gotchas and their workarounds
- Best practices validated through implementation

### 5. PARALLEL PROCESSING
Suggest independent workstreams for simultaneous execution:
- Decoupled components that could be developed in parallel
- Independent testing or validation streams
- Documentation tasks that could run alongside development
- Research activities that don't block primary work

## Output Format

**COMPOUND ENGINEERING OPPORTUNITIES:**

**SUGGESTION:** [Specific, actionable recommendation with clear scope]
**COMPOUND BENEFIT:** [Long-term compounding value, quantified where

Validation Details

Front Matter
Required Fields
Valid Name Format
Valid Description
Has Sections
Allowed Tools
Instruction Length:
2787 chars