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unified-review

@athola/claude-night-market
8
0

Orchestrate and run appropriate pensive review skills based on codebase analysis and context. Use for intelligent review skill selection and integrated reporting.

Install Skill

1Download skill
2Enable skills in Claude

Open claude.ai/settings/capabilities and find the "Skills" section

3Upload to Claude

Click "Upload skill" and select the downloaded ZIP file

Note: Please verify skill by going through its instructions before using it.

SKILL.md

name unified-review
description Orchestrate and run appropriate pensive review skills based on codebase analysis and context. Use for intelligent review skill selection and integrated reporting.
category orchestration
tags review, orchestration, code-quality, analysis, multi-domain
tools skill-selector, context-analyzer, report-integrator
usage_patterns auto-detect-review, comprehensive-review, focused-review
complexity intermediate
estimated_tokens 400
progressive_loading true
dependencies pensive:shared, imbue:evidence-logging, imbue:structured-output
orchestrates pensive:rust-review, pensive:api-review, pensive:architecture-review, pensive:bug-review, pensive:test-review, pensive:makefile-review, pensive:math-review

Unified Review Orchestration

Intelligently selects and executes appropriate review skills based on codebase analysis and context.

Quick Start

# Auto-detect and run appropriate reviews
/full-review

# Focus on specific areas
/full-review api          # API surface review
/full-review architecture # Architecture review
/full-review bugs         # Bug hunting
/full-review tests        # Test suite review
/full-review all          # Run all applicable skills

When to Use

  • Starting a comprehensive code review
  • Reviewing changes across multiple domains
  • Need intelligent selection of review skills
  • Want integrated reporting from multiple review types
  • Before merging major feature branches

Review Skill Selection Matrix

Codebase Pattern Review Skills Triggers
Rust files (*.rs, Cargo.toml) rust-review, bug-review, api-review Rust project detected
API changes (openapi.yaml, routes/) api-review, architecture-review Public API surfaces
Test files (test_*.py, *_test.go) test-review, bug-review Test infrastructure
Makefile/build system makefile-review, architecture-review Build complexity
Mathematical algorithms math-review, bug-review Numerical computation
Architecture docs/ADRs architecture-review, api-review System design
General code quality bug-review, test-review Default review

Workflow

1. Analyze Repository Context

  • Detect primary languages from extensions and manifests
  • Analyze git status and diffs for change scope
  • Identify project structure (monorepo, microservices, library)
  • Detect build systems, testing frameworks, documentation

2. Select Review Skills

# Detection logic
if has_rust_files():
    schedule_skill("rust-review")
if has_api_changes():
    schedule_skill("api-review")
if has_test_files():
    schedule_skill("test-review")
if has_makefiles():
    schedule_skill("makefile-review")
if has_math_code():
    schedule_skill("math-review")
if has_architecture_changes():
    schedule_skill("architecture-review")
# Default
schedule_skill("bug-review")

3. Execute Reviews

  • Run selected skills concurrently
  • Share context between reviews
  • Maintain consistent evidence logging
  • Track progress via TodoWrite

4. Integrate Findings

  • Consolidate findings across domains
  • Identify cross-domain patterns
  • Prioritize by impact and effort
  • Generate unified action plan

Review Modes

Auto-Detect (default)

Automatically selects skills based on codebase analysis.

Focused Mode

Run specific review domains:

  • /full-review api → api-review only
  • /full-review architecture → architecture-review only
  • /full-review bugs → bug-review only
  • /full-review tests → test-review only

Comprehensive Mode

Run all applicable review skills:

  • /full-review all → Execute all detected skills

Quality Gates

Each review must:

  1. Establish proper context
  2. Execute all selected skills successfully
  3. Document findings with evidence
  4. Prioritize recommendations by impact
  5. Create action plan with owners

Deliverables

Executive Summary

  • Overall codebase health assessment
  • Critical issues requiring immediate attention
  • Review frequency recommendations

Domain-Specific Reports

  • API surface analysis and consistency
  • Architecture alignment with ADRs
  • Test coverage gaps and improvements
  • Bug analysis and security findings
  • Performance and maintainability recommendations

Integrated Action Plan

  • Prioritized remediation tasks
  • Cross-domain dependencies
  • Assigned owners and target dates
  • Follow-up review schedule

Modular Architecture

All review skills use a hub-and-spoke architecture with progressive loading:

  • pensive:shared: Common workflow, output templates, quality checklists
  • Each skill has modules/: Domain-specific details loaded on demand
  • Cross-plugin deps: imbue:evidence-logging, imbue:diff-analysis/modules/risk-assessment-framework

This reduces token usage by 50-70% for focused reviews while maintaining comprehensive capabilities.

Exit Criteria

  • All selected review skills executed
  • Findings consolidated and prioritized
  • Action plan created with ownership
  • Evidence logged per pensive:shared/modules/output-format-templates