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Skill4.3k estrellas del repoactualizado 8d ago

review-response

Review-response automates the process of crafting professional replies to academic peer review comments. It parses reviewer feedback into categories (major concerns, minor issues, misunderstandings, typos), recommends tailored response strategies for each type, and generates structured rebuttal documents while maintaining appropriate tone. Researchers use this skill when responding to journal or conference reviews to improve acceptance chances through systematic, evidence-based counterarguments.

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git clone --depth 1 https://github.com/Galaxy-Dawn/claude-scholar /tmp/review-response && cp -r /tmp/review-response/skills/review-response ~/.claude/skills/review-response
Después abre una sesión nueva de Claude Code; el skill carga automáticamente.

SKILL.md

# Review Response

A systematic review response workflow that helps researchers efficiently and professionally reply to reviewer comments.

## Core Features

1. **Review Analysis** - Parse and classify reviewer comments (Major/Minor/Typo/Misunderstanding)
2. **Response Strategy** - Develop response strategies for different comment types (Accept/Defend/Clarify/Experiment)
3. **Rebuttal Writing** - Write structured, professional rebuttal documents
4. **Tone Management** - Optimize tone to maintain professionalism, respect, and evidence-based arguments

## Workflow

```
Receive reviewer comments -> Parse and classify -> Develop strategy -> Write responses -> Tone check -> Final rebuttal
```

## When to Use

Use this skill when you need to:
- "Help me write a rebuttal"
- "How to respond to reviewer comments"
- "Analyze these review comments"
- "Develop a review response strategy"

## Usage Steps

1. **Provide reviewer comments** - Share the reviewer comments text or file with Claude
2. **Analysis and classification** - Claude automatically parses and classifies the comments
3. **Strategy recommendations** - Receive response strategy suggestions for each comment
4. **Write rebuttal** - Generate a structured rebuttal document based on the strategy
5. **Optimize tone** - Review and optimize the professionalism and politeness of responses

## Core Principles

- **Professionalism** - Maintain an academically professional tone and expression
- **Respectfulness** - Respect the reviewers' opinions and time
- **Evidence-based** - Support every response with sufficient reasoning and evidence
- **Completeness** - Ensure all reviewer comments receive a response

## Success Factors (Based on ICLR Spotlight Paper Analysis)

Key lessons extracted from successful rebuttal cases:

### 1. Acknowledge Strengths, Respond Positively to Criticism
- Reviewers will first acknowledge the paper's strengths (novelty, impact, practical applicability)
- Even spotlight papers receive constructive criticism
- **Strategy**: Thank reviewers for acknowledged strengths first, then address criticism specifically

### 2. Provide Clarity and Intuitive Understanding
- Even high-quality papers may have clarity issues
- Need to provide intuition and detailed explanations for readers with different backgrounds
- **Strategy**: Expand key sections, move technical details to appendix, add step-by-step walkthroughs

### 3. Thorough Justification of Experimental Setup
- Need to justify experimental setup choices
- Consider and discuss alternative metrics
- Provide comprehensive experiments to support claims
- **Strategy**: Add ablation studies, explain why specific experimental setups were chosen

### 4. Emphasis on Ethical Considerations
- For research involving privacy, security, and other sensitive topics, ethical considerations are crucial
- Reviewers pay special attention to ethical implications
- **Strategy**: Proactively discuss ethical considerations, even if reviewers don't explicitly request it

### 5. Highlight Practical Application Value
- Reviewers value practical applicability and scalability of methods
- "Easily applicable" and "scalable" are important strengths
- **Strategy**: Emphasize practical benefits and scalability in the rebuttal

## Integration with active installed writing memory

When the rebuttal task involves:
- tone calibration,
- rebuttal phrasing,
- clarification language,
- structuring multi-point responses,
- or learning from strong prior paper/review writing,

read the active installed writing memory before drafting:

- `~/.claude/skills/ml-paper-writing/references/knowledge/paper-miner-writing-memory.md` on Claude Code installs
- the equivalent installed skill-home path on Codex/OpenCode branches
- otherwise skip this optional memory and continue with the local review-response references

### Default read order for rebuttal work

1. reviewer comments and paper context
2. optional `paper-miner-writing-memory.md` if available
3. `references/response-strategies.md`
4. `references/rebuttal-templates.md`
5. `references/tone-guidelines.md`

Read narrowly:
- start with `How this helps our writing`,
- then inspect `Reusable phrasing`,
- then inspect `Venue-specific signals` if the rebuttal is venue-sensitive,
- use `Writing patterns mined` only when the response needs stronger rhetorical structure.

Do not quote the memory mechanically. Use it to improve structure, clarity, restraint, and professionalism.

## Evidence anchor rule

Every response row must include one of:
- paper location,
- result table / figure / analysis artifact,
- citation / Evidence Record ID,
- planned experiment with status,
- `unresolved` if no evidence exists yet.

Do not claim "we added experiments" or "the results show" without naming the artifact. If an objection has multiple atomic points, split it and cover each point separately.

## Reference Documents

For detailed guides, refer to:
- `references/review-classification.md` - Review comment classification criteria
- `references/response-strategies.md` - Response strategy library
- `references/rebuttal-templates.md` - Rebuttal templates and examples
- `references/tone-guidelines.md` - Tone and expression guidelines

## Related Tools

- **Agent**: `rebuttal-writer` - Dedicated agent for rebuttal writing and optimization
- **Command**: `/rebuttal <review_file>` - Quick-start the rebuttal workflow
code-reviewerSubagent

Expert code review specialist. Proactively reviews code for quality, security, and maintainability. Use immediately after writing or modifying code. MUST BE USED for all code changes.

kaggle-minerSubagent

Use this agent when the user provides a Kaggle competition URL or asks to learn from Kaggle winning solutions. Examples:

literature-reviewerSubagent

Use this agent when the user asks to "conduct literature review", "search for papers", "analyze research papers", "identify research gaps", "review related work", or mentions starting a research project. This agent integrates with Zotero for automated paper collection, organization, and full-text analysis. Examples:

paper-minerSubagent

Use this agent when the user provides a research paper (PDF/DOCX/arXiv link) or asks to learn writing patterns from papers, extract venue-specific writing signals, study paper structure, or mine rebuttal strategies. The agent writes extracted knowledge into the active installed paper-miner writing memory for ml-paper-writing. It does not maintain project-specific writing memory.

rebuttal-writerSubagent

Use this agent when the user asks to "write rebuttal", "respond to reviewers", "analyze review comments", or needs help with academic paper review response. This agent specializes in systematic rebuttal writing with professional tone and structured responses.

tdd-guideSubagent

Test-driven development guide for writing tests first, implementing the smallest passing change, and keeping verification tight. Use when the user explicitly wants TDD or when a task should be driven by failing tests before code.

analyze-resultsSlash Command

Run a blocker-first post-experiment workflow: validate evidence, produce strict statistical analysis when possible, and generate a decision-oriented results report only when the analysis bundle is sufficient. Uses results-analysis + results-report as a gated two-stage workflow.

commitSlash Command

Commit changes following Conventional Commits format (local only, no push).