Phase 8 Review logo

Phase 8 Review

Organization
ww-w-ai
phase-8-review

Verify codebase quality — architecture consistency, convention compliance, gap analysis. Triggers: code review, architecture check, quality, gap analysis default: bkit:code-analyzer validate: bkit:design-validator gap: bkit:gap-detector qa: bkit:qa-strategist team: bkit:cto-lead

Overview

Publisherww-w-ai
Repositorybkit-claude-code
Skill namephase-8-review
Stars
601
Forks
154
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by ww-w-ai on GitHub. Read the source before you install it.

Installation

Install the Phase 8 Review AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/ww-w-ai/bkit-claude-code.git /tmp/bkit-claude-code
mkdir -p .claude/skills
cp -r /tmp/bkit-claude-code/skills/phase-8-review .claude/skills/phase-8-review
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Phase 8 Review in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Phase 8 Review on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Phase 8 Review is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Phase 8: Architecture/Convention Review

Overall codebase quality verification

Purpose

Review the entire codebase before deployment. Identify architecture consistency, convention compliance, and potential issues.

What to Do in This Phase

  1. Architecture Review: Review structural consistency
  2. Convention Review: Verify rule compliance
  3. Code Quality Review: Duplication, complexity, potential bugs
  4. Refactoring: Fix discovered issues

Deliverables

docs/03-analysis/
├── architecture-review.md      # Architecture review
├── convention-review.md        # Convention review
└── refactoring-plan.md         # Refactoring plan

PDCA Application

  • Plan: Define review scope/criteria
  • Design: Design checklist
  • Do: Execute code review
  • Check: Analyze issues
  • Act: Refactor and proceed to Phase 9

Level-wise Application

LevelApplication Method
StarterCan be skipped (simple projects)
DynamicRequired
EnterpriseRequired + security review

Full Phase Verification Matrix

Cross-Phase Consistency Verification

Phase 8 verifies that all Phase outputs and rules are consistently applied.

┌─────────────────────────────────────────────────────────────────┐
│                    Cross-Phase Dependency Flow                    │
├─────────────────────────────────────────────────────────────────┤
│                                                                  │
│   Phase 1 (Schema/Terminology)                                   │
│       ↓ Glossary, entity definitions                             │
│   Phase 2 (Coding Convention)                                    │
│       ↓ Naming rules, environment variable conventions           │
│   Phase 3 (Mockup)                                               │
│       ↓ Component structure, Props design                        │
│   Phase 4 (API)                                                  │
│       ↓ RESTful principles, response format, error codes         │
│   Phase 5 (Design System)                                        │
│       ↓ Design tokens, component variants                        │
│   Phase 6 (UI Implementation)                                    │
│       ↓ API client, type sharing, error handling                 │
│   Phase 7 (SEO/Security)                                         │
│       ↓ Security rules, metadata                                 │
│   Phase 8 (Review) ← Current stage: Full verification            │
│       ↓                                                          │
│   Phase 9 (Deployment)                                           │
│                                                                  │
└─────────────────────────────────────────────────────────────────┘

Phase-specific Verification Checklist

Phase 1 → Verify: Terminology/Schema Consistency
□ Are glossary.md terms consistently used in code?
  - Business terms → Code naming matching
  - Global standard terms → API response field names matching
□ Do entity definitions match actual types?
□ Do relationship definitions match actual implementation?
Phase 2 → Verify: Convention Compliance
□ Naming rule compliance (PascalCase, camelCase, UPPER_SNAKE_CASE)
□ Folder structure rule compliance
□ Environment variable naming rule compliance (NEXT_PUBLIC_*, DB_*, API_*, etc.)
□ .env.example template completion
□ Environment variable validation logic (lib/env.ts) exists
Phase 4 → Verify: API Consistency
□ RESTful principle compliance
  - Resource-based URLs (nouns, plural)
  - Correct HTTP method usage
  - Status code consistency
□ Response format consistency
  - Success: { data, meta? }
  - Error: { error: { code, message, details? } }
  - Pagination: { data, pagination }
□ Error code standardization (matches ERROR_CODES constant)
Phase 5 → Verify: Design System Consistency
□ Are design tokens defined? (CSS Variables / ThemeData)
□ Do components use tokens? (no hardcoded colors)
□ Are component variants consistent?
□ Dark mode support (if defined)
Phase 6 → Verify: UI-API Integration Consistency
□ API client layer structure compliance
  - Components → hooks → services → apiClient
  - No direct fetch calls
□ Type consistency
  - Phase 4 API spec types = Phase 6 client types
□ Error handling consistency
  - Global error handler usage
  - Error code-specific handling logic
□ State management pattern consistency
Phase 7 → Verify: Security/SEO Application
□ Authentication/authorization middleware applied
□ Input validation (server-side)
□ XSS, CSRF defense
□ No sensitive info exposed to client
□ SEO meta tags applied
Phase 9 → Verify: Deployment Readiness
□ Environment variable Secrets registered (based on Phase 2 list)
□ Environment separation (dev/staging/prod)
□ Build successful
□ Environment variable validation script passes

Clean Architecture Verification

Layer Separation Principles

┌─────────────────────────────────────────────────────────────┐
│                      Presentation Layer                      │
│         (pages, components, hooks - UI concerns)             │
├─────────────────────────────────────────────────────────────┤
│                      Application Layer                       │
│         (services, use-cases - business logic)               │
├─────────────────────────────────────────────────────────────┤
│                       Domain Layer                           │
│         (entities, types - core domain models)               │
├─────────────────────────────────────────────────────────────┤
│                    Infrastructure Layer                      │
│         (api client, db, external services)                  │
└─────────────────────────────────────────────────────────────┘

Dependency direction: Outside → Inside (Presentation → Domain)
Inner layers must not know about outer layers

Layer-specific Verification Checklist

Presentation Layer (UI)
□ Is there business logic in components?
□ Are there direct API calls? (should go through hooks)
□ Is state management properly separated?
□ Do components have single responsibility?
Application Layer (Services)
□ Are domain logic and infrastructure logic separated?
□ Are external dependencies abstracted?
□ Is the structure testable?
□ Are use cases clearly defined?
Domain Layer (Types/Entities)
□ Are there no external library dependencies?
□ Does it contain only pure business rules?
□ Do types match Phase 1 schema?
Infrastructure Layer (API Client)
□ Are external service calls abstracted?
□ Is error handling consistent?
□ Is configuration managed via environment variables?

Architecture Review Checklist

Structure

  • Does folder structure match conventions
  • Is separation of concerns well done
  • Is dependency direction correct (outside → inside)

Patterns

  • Are consistent patterns used
  • Is there unnecessary abstraction
  • Is proper encapsulation done

Convention Review Checklist

Naming

  • Does it follow Phase 2 defined rules
  • Are meaningful names used
  • Is there consistency

Code Style

  • Unified indentation, quotes, etc.
  • Is file length appropriate
  • Is function length appropriate

Code Quality Checklist

  • Is there duplicate code
  • Are there highly complex functions
  • Is error handling appropriate
  • Is type safety ensured

AI-Assisted Review

Request code review from Claude:

"Review this project's code.
- Does it follow CONVENTIONS.md rules
- Is there architecture consistency
- Are there potential bugs or improvements"

Template

See templates/pipeline/phase-8-review.template.md

Next Phase

Phase 9: Deployment → After review completion, deploy to production


6. In-Depth Code Quality Review

6.1 Duplicate Code Detection

Detection Methods
bash
# 1. Search for similar function names
grep -r "function.*format" src/
grep -r "function.*calculate" src/
grep -r "function.*get.*By" src/

# 2. Search for similar patterns
grep -rn "reduce.*sum" src/
grep -rn "filter.*map" src/
grep -rn "useState.*useEffect" src/
Handling by Duplication Type
TypeExampleSolution
Exact duplicateSame code copy-pasteExtract to function
Structural similaritySame logic, different dataParameterize
Conceptual similarityDifferent implementations for similar purposeIntegrate or interface
Duplicate Code Checklist
□ Is the same logic in 2+ places?
□ Are there multiple functions with similar names?
□ Is the same data transformation repeated?
□ Are similar UI patterns repeated?
□ Is the same API call pattern repeated?
□ Is similar error handling repeated?

6.2 Reusability Assessment

Assessment Criteria
ScoreCriteriaDescription
⭐⭐⭐HighCan be used in other projects
⭐⭐MediumCan be used in multiple places within same project
LowUsed only for specific feature
Reusability Checklist
Check for each function/component:
□ Is it tied to a specific domain?
□ Does it depend on external state?
□ Are parameters generic?
□ Is the return value predictable?
□ Are there side effects?

6.3 Extensibility Assessment

Extensibility Check
When new requirements come:
□ Can it be added without modifying existing code?
□ Can behavior be changed by configuration only?
□ Is adding new types/cases easy?
□ Can it be extended without adding conditionals?
Extensibility Anti-patterns
typescript
// ❌ Requires modification for each extension
function process(type: string) {
  if (type === 'a') { /* ... */ }
  else if (type === 'b') { /* ... */ }
  // Add else if for each new type...
}

// ❌ Hardcoded list
const ALLOWED_TYPES = ['a', 'b', 'c']

// ❌ Enumerated switch statements
switch (action.type) {
  case 'ADD': // ...
  case 'REMOVE': // ...
  // Add case for each new action...
}
Good Extensibility Patterns
typescript
// ✅ Registry pattern
const handlers: Record<string, Handler> = {}
function register(type: string, handler: Handler) {
  handlers[type] = handler
}
function process(type: string, data: unknown) {
  return handlers[type]?.(data)
}

// ✅ Configuration-based
const CONFIG = {
  types: ['a', 'b', 'c'],
  handlers: { ... }
}

// ✅ Plugin structure
interface Plugin { execute(data): Result }
const plugins: Plugin[] = []

6.4 Object-Oriented Principles Check

SOLID Principles Checklist

S - Single Responsibility (SRP)

□ Does the class/function change for only one reason?
□ Does the name clearly explain the role?
□ Is "and" in the name? → Needs separation

O - Open/Closed (OCP)

□ Is it open for extension? (new features can be added)
□ Is it closed for modification? (no existing code changes needed)
□ Are interfaces/abstractions used?

L - Liskov Substitution (LSP)

□ Can subtypes replace parent types?
□ Do overridden methods keep the contract?

I - Interface Segregation (ISP)

□ Is the interface too large?
□ Must unused methods be implemented?
□ Can the interface be split smaller?

D - Dependency Inversion (DIP)

□ Does it depend on abstractions instead of concrete classes?
□ Are dependencies injected? (DI)
□ Is the structure testable?

6.5 Refactoring Priority

Urgent (Required before deployment):
1. Duplication that can cause bugs
2. Security vulnerabilities
3. Performance bottlenecks

High (As soon as possible):
4. Same logic duplicated in 3+ places
5. Files over 200 lines
6. Nesting deeper than 5 levels

Medium (Next sprint):
7. Structure lacking extensibility
8. Naming inconsistencies
9. Structure difficult to test

Low (Backlog):
10. Style inconsistencies
11. Excessive comments
12. Unused code

7. AI Code Review Request Template

markdown
Please review the code from these perspectives:

1. Duplicate Code
   - Are there similar functions/components?
   - Is there common logic that can be extracted?

2. Reusability
   - Can it be used generically?
   - Is it tied to a specific domain?

3. Extensibility
   - Can it flexibly respond to new requirements?
   - Are there hardcoded parts?

4. SOLID Principles
   - Does it follow single responsibility?
   - Is it open for extension and closed for modification?

5. Convention Compliance
   - Does it follow CONVENTIONS.md rules?
   - Is naming consistent?

Please identify parts that need refactoring and their priority.

8. Gap Analysis (Design vs Implementation)

Gap Analysis Report Template

markdown
# Gap Analysis Report

## Analysis Target
- Design document: docs/02-design/{feature}.design.md
- Implementation path: src/features/{feature}/

## Results by Category

### API Endpoints
| Design | Implementation | Status |
|--------|----------------|--------|
| POST /api/users | POST /api/users | ✅ Match |
| GET /api/users/:id | - | ❌ Not implemented |
| - | DELETE /api/users/:id | ⚠️ Missing from design |

### Data Model
| Design Entity | Implementation | Status |
|---------------|----------------|--------|
| User | types/user.ts | ✅ Match |
| UserRole | - | ❌ Not implemented |

### Match Rate
- Total items: 10
- Matches: 7
- Not implemented: 2
- Missing from design: 1
- **Match Rate: 70%**

Gap Types and Actions

Gap TypeMeaningAction
✅ MatchDesign = ImplementationNone
❌ Not implementedIn design, not in codeImplement or update design
⚠️ Missing from designIn code, not in designAdd to design document
🔄 DifferentExists but differentAlign (code is truth)

When to Run Gap Analysis

  • After completing feature implementation
  • Before deployment
  • When design document is updated
  • During code review

Frequently asked questions

What does the Phase 8 Review AI skill do?

Verify codebase quality — architecture consistency, convention compliance, gap analysis. Triggers: code review, architecture check, quality, gap analysis default: bkit:code-analyzer validate: bkit:design-validator gap: bkit:gap-detector qa: bkit:qa-strategist team: bkit:cto-lead

Why use Phase 8 Review on TypingMind?

Because you install it once and use it with any model. Phase 8 Review is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Phase 8 Review in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ww-w-ai/bkit-claude-code/tree/main/skills/phase-8-review. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Phase 8 Review?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Phase 8 Review?

As many as you like. As long as a model supports skills, you can use Phase 8 Review with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Phase 8 Review AI skill free?

Yes. It is published on GitHub by ww-w-ai under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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