Review
Claude plugin orchestrating spec-to-code automation workflow, enabling developers to leverage Claude Skills for productivity.From the repository description
npx -y skills add valasubramanian-kr/wallet-web-developer --skill reviewAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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SKILL.md
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Purpose
The /review skill provides a human-in-the-loop feedback mechanism after the implementation plan is generated. It allows stakeholders to:
- Provide review comments on the proposed plan
- Ask clarifying questions about the implementation approach
- Approve the plan and proceed to coding
This skill bridges the gap between automated planning and implementation, ensuring human oversight of critical technical decisions.
Usage
/review [optional: review comments or questions]
Examples:
/review
# Interactive mode: asks for review comments, questions, or approval
/review Can we use React Query instead of manual state management?
# Direct question mode: processes the question and updates the plan
/review The error handling approach should include retry logic for network failures
# Direct feedback mode: incorporates feedback into the plan
Instructions
Prerequisites
-
Verify that the implementation plan exists:
- Read the file at
workflow/jira-to-github/<JIRA-NUMBER>/implementation-plan.md - If the file doesn't exist, inform the user to run
/planfirst
- Read the file at
-
Read the current JIRA issue for context:
- Read the file at
workflow/jira-to-github/<JIRA-NUMBER>/current-issue.md
- Read the file at
Review Process
Step 1: Determine Review Mode
If user provided input (review comments or questions):
- Parse the input to determine if it's:
- Review comments (suggestions for changes)
- Questions (seeking clarification)
- Approval (e.g., "looks good", "approved", "skip")
If no input provided:
- Use the
AskUserQuestiontool with these options:
Question: "How would you like to proceed with the implementation plan? (You can iterate multiple times before approving)"
Header: "Plan Review"
multiSelect: false
Options:
1. "Provide review comments"
- Description: "I have specific suggestions or changes"
2. "Ask questions"
- Description: "I need clarification on the approach"
3. "Approve and continue"
- Description: "Plan looks good, proceed to implementation"
Step 1.5: Determine if Direct Input Was Provided
If user provided input as argument (e.g., /review Add retry logic):
- Parse the input as review comments
- Skip the AskUserQuestion step
- Proceed directly to Step 2: Process Feedback
- After processing, LOOP BACK to Step 1 (ask for next action)
If no input provided:
- Use AskUserQuestion as described in Step 1
Step 2: Process Feedback
For Review Comments:
-
Capture the feedback:
- If "Provide review comments" selected: User provides specific comments
- If direct argument provided (e.g.,
/review Add retry logic): Use that as feedback - If unclear or ambiguous: Ask follow-up clarification questions before proceeding
-
Analyze the feedback against current plan:
- Identify which sections need updates (Implementation, Files, Testing, etc.)
- Document changes needed
-
Spawn "Plan" sub-agent to revise the plan:
Task: Revise implementation plan based on review feedback Context: - Current issue: <from current-issue.md> - Current plan: <from implementation-plan.md> - Review feedback: <user's comments> Generate updated implementation-plan.md incorporating the feedback -
Save updated plan to
workflow/jira-to-github/<JIRA-NUMBER>/implementation-plan.md -
Create review log entry in
workflow/jira-to-github/<JIRA-NUMBER>/review-log.md:## Review Session <N> - <timestamp> ### Feedback Provided <numbered list of concise, actionable review comments> ### User Selection Option: [Provide review comments | Ask questions | Approve and continue] ### Changes Made | Section | Update | Impact | |---------|--------|--------| | <section> | <change> | <impact> | ### Status Plan revised → pending approval (proceeding to iteration <N+1>) -
CRITICAL: Loop back to Step 1 - Ask user again: "How would you like to proceed with the updated plan?"
- This ensures iterative refinement until approval
- Track iteration count in review-log.md
- Use the same AskUserQuestion format from Step 1
Token Optimization Guidelines:
- Use diff format for code comparisons:
- old code + new code - Use bullet points for benefits (not paragraphs):
**Benefits**: - Benefit 1 - Benefit 2 - Use tables for structured changes
- Be concise: Focus on what changed, avoid verbose explanations
- Avoid duplication: Don't repeat information from the plan
For Questions:
-
Analyze questions in context of the plan
-
Provide detailed answers addressing:
- Technical approach rationale
- Alternative approaches considered
- Trade-offs and implications
- Implementation details
-
Ask follow-up using
AskUserQuestion:Question: "Does this answer your questions, or would you like to proceed differently?" Header: "Next Step" multiSelect: false Options: 1. "Approve plan" - Description: "Questions answered, plan looks good" 2. "More questions" - Description: "I have additional questions" 3. "Request changes" - Description: "I'd like to revise the plan" -
Handle response:
- If "Approve plan": Mark as approved, log in review-log.md, EXIT
- If "More questions": LOOP BACK to Step 1 (ask for next action)
- If "Request changes": LOOP BACK to Step 2 (process as feedback)
-
Log Q&A in
workflow/jira-to-github/<JIRA-NUMBER>/review-log.md
For Approval:
- Mark the plan as approved
- Create concise approval entry in
workflow/jira-to-github/<JIRA-NUMBER>/review-log.md:## Review Session - <timestamp> ### Status ✓ Plan approved ### Next Steps - `/branch` - create development branch - `/code` - implement the plan **Note**: If `/code` already ran, re-run to implement updated plan - Inform the user that the workflow can continue with
/branchor return to/jira-to-githuborchestrator - If /code was already executed and the plan was updated, inform the user they can re-run
/codeto implement the updated plan changes
Step 3: Iteration Tracking
- Each time feedback is provided, increment iteration counter
- Track all review cycles in
review-log.mdwith timestamps and iteration numbers - Support unlimited iterations until approval
- After each plan revision, automatically re-enter review mode (loop back to Step 1)
- Each iteration is logged as:
## Review Session <N> - <timestamp> ### Feedback Provided [Iteration N feedback] ### User Selection Option: [Provide review comments | Ask questions | Approve and continue] ### Changes Made | Section | Update | Impact | |---------|--------|--------| | [...] | [...] | [...] | ### Status Plan revised → pending approval (iteration <N+1>)
Output Files
-
review-log.md: Complete audit trail of all review sessions
- Timestamp for each session
- Feedback provided
- Questions asked and answered
- Plan revisions made
- Approval status
-
implementation-plan.md (updated): Revised plan incorporating all feedback
Token Optimization Principles
Target: 6.5-7 KB per review-log.md (current average: 8.8 KB) Savings Goal: 20-25% token reduction
Key Strategies
-
Use Diff Format for Code:
- old code + new codeInstead of separate "Before" and "After" sections
-
Bullet Points for Benefits:
**Benefits**: - Benefit 1 - Benefit 2Instead of paragraph explanations
-
Tables for Structured Data:
| File | Update | Impact | |------|--------|--------|Instead of verbose descriptions
-
Concise Language:
- Focus on what changed
- Avoid verbose explanations
- Remove redundant information
Error Handling
-
If
implementation-plan.mddoesn't exist:Error: No implementation plan found. Please run /plan first. Suggested next step: /plan -
If
current-issue.mddoesn't exist:Error: No JIRA issue context found. Please run /pull <JIRA-KEY> first. Suggested next step: /pull <JIRA-KEY> -
If unable to parse review feedback or direct input argument:
Error: Could not understand the feedback. Please rephrase or choose from: 1. Provide specific review comments 2. Ask clarifying questions 3. Approve the plan with "approved" or "looks good" Tip: You can use /review without arguments for interactive mode.
Example Sessions
Example 1: Interactive Review with Approval
User: /review
Agent: How would you like to proceed with the implementation plan?
Options:
1. Provide review comments
2. Ask questions
3. Approve and continue
User: [Selects option 3]
Agent: Plan approved!
Plan review log created at: workflow/jira-to-github/DRT-17270/review-log.md
Next steps:
- /branch (create development branch)
- /code (implement the plan)
Review Log Output (Optimized Format):
## Review Session 1 - 2026-02-19
### User Selection
Option: Approve and continue
### Status
✓ Plan approved after 1 iteration
### Next Steps
- `/branch` - create development branch
- `/code` - implement the plan
Example 2: Direct Feedback with Plan Revision
User: /review Add exponential backoff retry logic for all network calls
Agent: Analyzing feedback and updating plan...
[Spawns Plan agent to revise implementation plan]
Plan updated - see review-log.md for details
Would you like to:
1. Review the updated plan again
2. Approve and continue
User: [Selects option 2]
Agent: Plan approved! Ready to proceed with /branch or /code
Review Log Output (Optimized Format):
## Review Session 1 - 2026-02-19T14:22:00Z
### Feedback Provided
1. Add exponential backoff retry logic for all network calls
### User Selection
Option: Provide review comments (direct argument: `/review Add exponential backoff retry logic for all network calls`)
### Changes Made
| Section | Update | Impact |
|---------|--------|--------|
| Utilities | Added retry utility with exponential backoff | New file |
| Network calls | Wrapped all calls with retry logic | 5 files modified |
| Error handling | Added retry support | Updated |
### Status
Plan revised → pending approval (iteration 2)
---
## Review Session 2 - 2026-02-19T14:28:00Z
### User Selection
Option: Approve and continue
### Status
✓ Plan approved after 2 iterations
### Next Steps
- `/branch` - create development branch
- `/code` - implement the plan
Example 3: Code Comparison with Diff Format
User: /review In AddCardForm, can we use a cardType prop instead of detecting via activeScreen?
Agent: Analyzing architectural improvement...
Plan updated to use prop-based approach instead of hook dependency.
Review Log Output (Optimized Format):
## Review Session 1 - 2026-02-19T18:32:00Z
### Feedback Provided
1. Use `cardType` prop instead of detecting via `activeScreen` in AddCardForm
### User Selection
Option: Provide review comments (direct argument)
### Approach Change
```diff
- const { activeScreen } = useFlyoutState();
- const isFsaHsaFlow = activeScreen === FlyoutScreens.ADD_FSA_HSA_CARD;
+ interface AddCardFormProps {
+ cardType?: 'regular' | 'benefit';
+ }
+ const isBenefitCard = cardType === 'benefit';
Benefits
- Better separation of concerns
- Easier testing (no hook mocking)
- Improved component reusability
- Clearer component contract
Changes Made
| File | Update |
|---|---|
| AddCardForm.tsx | Added cardType prop, removed useFlyoutState() |
| PaymentMethodManager.tsx | Passes cardType prop to AddCardForm |
Status
Plan revised → pending approval (iteration 2)
Review Session 2 - 2026-02-19T18:35:00Z
User Selection
Option: Approve and continue
Status
✓ Plan approved after 2 iterations
Next Steps
/branch- create development branch/code- implement the plan
### Example 4: Re-Implementation After Initial Coding
Initial workflow
User: /pull DRT-17270 User: /plan User: /review User: (approves plan) User: /branch User: /code
Code is implemented, but user realizes plan needs changes
User: /review The error handling should use toast notifications instead of modal dialogs
Agent: Analyzing feedback and updating plan...
Plan updated with the following changes:
- Changed error UI from modal dialogs to toast notifications
- Updated error handling utility to use toast API
- Removed modal dialog components
- Added toast notification styling
Plan review log updated at: workflow/jira-to-github/DRT-17270/review-log.md
Note: Since /code was already run, you can re-run it to implement these changes:
/code
This will read the updated plan and apply incremental changes to the codebase.
Would you like to approve this updated plan?
User: Yes
Agent: Plan approved! Run /code to implement the updated plan changes.
### Example 4: Question and Answer Session
User: /review Why are we using Zustand instead of React Context for this feature?
Agent: Good question! The plan chose Zustand over React Context for the following reasons:
-
Performance: Zustand provides fine-grained subscriptions, so components only re-render when their specific slice of state changes. React Context would cause all consumers to re-render on any state change.
-
Team Pattern: The WHPP application already uses Zustand for state management (see src/store/), so this maintains consistency with existing code.
-
Developer Experience: Zustand has simpler syntax and doesn't require Provider wrapper components, reducing boilerplate.
-
Testing: Zustand stores are easier to test in isolation compared to Context-based state.
Alternative approaches considered:
- React Context: Simple but performance concerns for frequent updates
- Redux Toolkit: More powerful but overkill for this feature's scope
Does this answer your question, or would you like to revise the plan?
Options:
- This answers my questions - approve plan
- I have more questions
- I'd like to request plan changes
User: [Selects option 1]
Agent: Plan approved! Ready to proceed with /branch and /code
### Example 5: Iterative Review with Direct Input Argument
User: /review Add exponential backoff
Agent: Analyzing feedback and updating plan...
[Spawns Plan agent to revise implementation plan]
Plan updated with retry logic using exponential backoff.
How would you like to proceed with the updated plan? (You can iterate multiple times before approving)
Options:
- Provide review comments
- Ask questions
- Approve and continue
User: [Selects option 2 - Ask questions]
User: Will the backoff apply to all API calls or just specific ones?
Agent: The exponential backoff will apply to all network calls that can be safely retried (GET requests and idempotent operations). POST/PUT/DELETE operations that are not idempotent will have single retry with user confirmation.
Does this answer your questions, or would you like to proceed differently?
Options:
- Approve plan
- More questions
- Request changes
User: [Selects option 3 - Request changes]
User: Let's make all retry logic configurable per-endpoint instead
Agent: Analyzing feedback and updating plan...
[Spawns Plan agent to revise implementation plan]
Plan updated with configurable retry policies per endpoint.
How would you like to proceed with the updated plan?
Options:
- Provide review comments
- Ask questions
- Approve and continue
User: [Selects option 3]
Agent: Plan approved after 3 iterations! Ready to proceed with /branch and /code
**Review Log Output**:
```markdown
## Review Session 1 - 2026-02-19T10:15:00Z
### Feedback Provided
1. Add exponential backoff
### User Selection
Option: Provide review comments (direct argument: `/review Add exponential backoff`)
### Changes Made
| Section | Update | Impact |
|---------|--------|--------|
| Utilities | Added retry utility with exponential backoff | New file |
| Network calls | Wrapped all calls with retry logic | 5 files modified |
### Status
Plan revised → pending approval (iteration 2)
---
## Review Session 2 - 2026-02-19T10:18:00Z
### Question Asked
Will the backoff apply to all API calls or just specific ones?
### Answer Provided
The exponential backoff will apply to all network calls that can be safely retried (GET requests and idempotent operations). POST/PUT/DELETE operations that are not idempotent will have single retry with user confirmation.
### User Selection
Option: Request changes
### Feedback Provided
1. Make all retry logic configurable per-endpoint instead
### Changes Made
| Section | Update | Impact |
|---------|--------|--------|
| Utilities | Updated retry utility to accept per-endpoint config | Modified |
| Network calls | Added retry configuration interface | New type |
| API config | Added retry policy definitions | New file |
### Status
Plan revised → pending approval (iteration 3)
---
## Review Session 3 - 2026-02-19T10:22:00Z
### User Selection
Option: Approve and continue
### Status
✓ Plan approved after 3 iterations
### Next Steps
- `/branch` - create development branch
- `/code` - implement the plan
Example 6: Multiple Iterations Until Approval
User: /review
Agent: How would you like to proceed with the implementation plan? (You can iterate multiple times before approving)
Options:
1. Provide review comments
2. Ask questions
3. Approve and continue
User: [Selects option 1]
User: The component should use compound pattern instead of prop drilling
Agent: Analyzing feedback and updating plan...
[Updates plan to use compound component pattern]
Plan updated. How would you like to proceed with the updated plan?
User: [Selects option 1 again]
User: Also add TypeScript generics for better type safety
Agent: Analyzing feedback and updating plan...
[Updates plan to add TypeScript generics]
Plan updated. How would you like to proceed with the updated plan?
User: [Selects option 2]
User: How will this affect bundle size?
Agent: The compound pattern and generics are compile-time features, so they have zero runtime cost. Bundle size impact is negligible (estimated +0.5KB gzipped for the additional type definitions).
Does this answer your questions, or would you like to proceed differently?
Options:
1. Approve plan
2. More questions
3. Request changes
User: [Selects option 1]
Agent: Plan approved after 3 iterations! Ready to proceed with /branch and /code
Review Log Output:
## Review Session 1 - 2026-02-19T15:30:00Z
### Feedback Provided
1. Use compound pattern instead of prop drilling
### User Selection
Option: Provide review comments
### Changes Made
| Section | Update | Impact |
|---------|--------|--------|
| Component architecture | Changed to compound component pattern | Major refactor |
| Props interface | Simplified by removing drilled props | Reduced complexity |
### Status
Plan revised → pending approval (iteration 2)
---
## Review Session 2 - 2026-02-19T15:33:00Z
### Feedback Provided
1. Add TypeScript generics for better type safety
### User Selection
Option: Provide review comments
### Changes Made
| Section | Update | Impact |
|---------|--------|--------|
| Type definitions | Added generic type parameters | Enhanced type safety |
| Component interface | Updated to use generics | Modified |
### Status
Plan revised → pending approval (iteration 3)
---
## Review Session 3 - 2026-02-19T15:36:00Z
### Question Asked
How will this affect bundle size?
### Answer Provided
The compound pattern and generics are compile-time features, so they have zero runtime cost. Bundle size impact is negligible (estimated +0.5KB gzipped for the additional type definitions).
### User Selection
Option: Approve plan
### Status
✓ Plan approved after 3 iterations
### Next Steps
- `/branch` - create development branch
- `/code` - implement the plan
Re-Implementation Workflow
When /review is used after /code has already been executed:
- User Updates Plan: Provide feedback via
/reviewto revise the implementation plan - Plan Gets Updated: The
implementation-plan.mdfile is updated with new requirements - Re-run Code: Execute
/codeagain to implement the updated plan - Incremental Changes: The
/codeskill detects previous implementation and applies only the changes from the updated plan - Revision Log: The
implementation-log.mdis appended with a revision section documenting the changes
Benefits:
- Supports iterative development and plan refinement
- Maintains audit trail of all plan revisions
- Allows fixing implementation approach without starting over
- Enables incremental updates to codebase
Example Workflow:
# Initial implementation
/pull DRT-17270 → /plan → /review (approve) → /branch → /code
# Realize plan needs changes
/review "Add validation for edge cases"
# Re-implement with updated plan
/code # Reads updated plan, applies incremental changes
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.