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Review

  • 10 installs
  • 7 repo stars
  • Updated June 18, 2026
  • duc01226/easyplatform

Performs a comprehensive code review of a target.

About

Runs a comprehensive code review over a specified target. A developer invokes it to get structured review feedback before merging.

  • Comprehensive code review
  • Targeted at a given path

Review by the numbers

  • 10 all-time installs (skills.sh)
  • Ranked #816 of 1,352 Code Review & Quality skills by installs in the Skillselion catalog
  • Data as of Jul 24, 2026 (Skillselion catalog sync)
npx skills add https://github.com/duc01226/easyplatform --skill review

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Listed on Skillselion
Installs10
repo stars7
Last updatedJune 18, 2026
Repositoryduc01226/easyplatform

What it does

Performs a comprehensive code review of a target.

Files

SKILL.mdMarkdownGitHub ↗

Code Review: $ARGUMENTS

Perform a comprehensive code review following EasyPlatform standards.

Summary

Goal: Comprehensive report-driven code review of a PR, file, or branch following EasyPlatform standards.

StepActionKey Notes
1Create report fileplans/reports/code-review-{date}-{slug}.md
2File-by-file reviewRead each file, update report with summary/purpose/issues
3Holistic reviewRe-read report for architecture coherence and layer correctness
4Final findingsCritical issues, high priority, architecture recommendations
Critical Purpose: Ensure quality — no flaws, no bugs, no missing updates, no stale documentation. Every review must verify both code correctness AND documentation accuracy.

Key Principles:

  • Be skeptical. Critical thinking. Everything needs traced proof. — Never accept code at face value; verify claims against actual behavior, trace data flow end-to-end, and demand evidence (file:line references, grep results, runtime confirmation) for every finding
  • Ensure code quality: no flaws, no bugs — Verify correctness of logic, data flow, edge cases, and error handling. Flag anything that could fail at runtime
  • Clean code and DRY — No duplication, clear naming, single responsibility, early returns. Code should be self-documenting
  • Follow existing conventions — Match project patterns, naming style, file organization, and architectural decisions already established in the codebase. Grep for similar implementations before flagging deviations
  • Docs must match code — If changes affect behavior, APIs, or features, verify related docs are updated: feature docs (docs/business-features/), test specs (docs/test-specs/), CHANGELOG, README, architecture docs, and inline code comments. Flag any doc that describes old behavior
  • Build report incrementally -- update after EACH file review
  • Check: architecture compliance, naming, platform patterns, security, performance
  • Logic must be in the LOWEST appropriate layer (Entity > Service > Component)
  • Holistic phase: ask "For each architectural decision, WHY this approach over alternatives? Are there trade-offs to document?"

Review Scope

Target: $ARGUMENTS (can be a PR number, file path, or branch name)

Review Approach (Report-Driven Two-Phase - CRITICAL)

⛔ MANDATORY FIRST: Create Todo Tasks for Review Phases Before starting, call TodoWrite with:

  • [ ] [Review Phase 1] Create report file - in_progress
  • [ ] [Review Phase 1] Review file-by-file and update report - pending
  • [ ] [Review Phase 2] Re-read report for holistic assessment - pending
  • [ ] [Review Phase 3] Generate final review findings - pending

Update todo status as each phase completes. This ensures review is tracked.

Step 0: Create Report File

  • [ ] Create plans/reports/code-review-{date}-{slug}.md
  • [ ] Initialize with Scope, Files to Review sections

Phase 1: File-by-File Review (Build Report Incrementally) For EACH file, read and immediately update report with:

  • [ ] File path
  • [ ] Change Summary: what was modified/added
  • [ ] Purpose: why this change exists
  • [ ] Issues Found: naming, typing, responsibility, patterns
  • [ ] Continue to next file, repeat

Phase 2: Holistic Review (Review the Accumulated Report) After ALL files reviewed, re-read the report to see big picture:

  • [ ] Overall technical approach makes sense?
  • [ ] Solution architecture coherent as unified plan?
  • [ ] New files in correct layers (Domain/Application/Presentation)?
  • [ ] Logic in LOWEST appropriate layer?
  • [ ] Backend: mapping in Command/DTO (not Handler)?
  • [ ] Frontend: constants/columns in Model (not Component)?
  • [ ] No duplicated logic across changes?
  • [ ] Service boundaries respected?
  • [ ] No circular dependencies?

Phase 3: Generate Final Review Result Update report with final sections:

  • [ ] Overall Assessment (big picture summary)
  • [ ] Critical Issues (must fix before merge)
  • [ ] High Priority (should fix)
  • [ ] Architecture Recommendations
  • [ ] Positive Observations

Review Checklist

1. Architecture Compliance

  • [ ] Follows Clean Architecture layers (Domain, Application, Persistence, Service)
  • [ ] Uses correct repository pattern (I{Service}RootRepository<T>)
  • [ ] CQRS pattern: Command/Query + Handler + Result in ONE file
  • [ ] No cross-service direct database access

2. Code Quality

  • [ ] Single Responsibility Principle
  • [ ] No code duplication (DRY)
  • [ ] Appropriate error handling with PlatformValidationResult
  • [ ] No magic numbers/strings (extract to named constants)
  • [ ] Type annotations on all functions
  • [ ] No implicit any types
  • [ ] Early returns/guard clauses used

2.5. Naming Conventions

  • [ ] Names reveal intent (WHAT not HOW)
  • [ ] Specific names, not generic (employeeRecords not data)
  • [ ] Methods: Verb + Noun (getEmployee, validateInput)
  • [ ] Booleans: is/has/can/should prefix (isActive, hasPermission)
  • [ ] No cryptic abbreviations (employeeCount not empCnt)

3. Platform Patterns

  • [ ] Uses platform validation fluent API (.And(), .AndAsync())
  • [ ] No direct side effects in command handlers (use entity events)
  • [ ] DTO mapping in DTO classes, not handlers
  • [ ] Static expressions for entity queries

4. Security

  • [ ] No hardcoded credentials
  • [ ] Proper authorization checks
  • [ ] Input validation at boundaries
  • [ ] No SQL injection risks

5. Performance

  • [ ] No O(n²) complexity (use dictionary for lookups)
  • [ ] No N+1 query patterns (batch load related entities)
  • [ ] Project only needed properties (don't load all then select one)
  • [ ] Pagination for all list queries (never get all without paging)
  • [ ] Parallel queries for independent operations
  • [ ] Appropriate use of async/await

Output Format

Provide feedback in this format:

Summary: Brief overall assessment

Critical Issues: (Must fix)

  • Issue 1: Description and suggested fix
  • Issue 2: Description and suggested fix

Suggestions: (Nice to have)

  • Suggestion 1
  • Suggestion 2

Positive Notes:

  • What was done well

See Also

See code-review skill for review process guidelines and anti-performative-agreement rules.

IMPORTANT Task Planning Notes

  • Always plan and break many small todo tasks
  • Always add a final review todo task to review the works done at the end to find any fix or enhancement needed

Related skills

Code Review & Qualitytestingbackend

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