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desplega-ai

process-review

by desplega-ai

AI toolbox, intended to be developed and used by agents!

3🍴 0📅 Jan 24, 2026

SKILL.md


name: process-review description: Process review comments in a file after user finishes reviewing in file-review GUI. Extracts HTML comment markers, guides Claude through addressing each comment interactively, and removes resolved markers.

Process Review Comments

Process review comments embedded in a file, apply feedback interactively, and clean up markers.

When to Use

This skill activates when:

  • User says "I'm done reviewing" after using the file-review GUI
  • User asks to process or address review comments
  • A file contains <!-- review-start --> or <!-- review-line-start --> markers

Comment Format Reference

The file-review tool embeds comments as HTML markers:

Inline comments (for selected text):

<!-- review-start(ID) -->highlighted text<!-- review-end(ID): reviewer feedback -->

Line comments (for entire lines/blocks):

<!-- review-line-start(ID) -->
content spanning
multiple lines
<!-- review-line-end(ID): reviewer feedback -->

Where ID is an 8-character alphanumeric identifier (e.g., a1b2c3d4).

Extraction Patterns

Use these regex patterns to extract comments:

// Inline comments - captures: [full, id, highlighted, feedback]
/<!--\s*review-start\(([a-zA-Z0-9-]+)\)\s*-->([\s\S]*?)<!--\s*review-end\(\1\):\s*([\s\S]*?)\s*-->/g

// Line comments - captures: [full, id, highlighted, feedback]
/<!--\s*review-line-start\(([a-zA-Z0-9-]+)\)\s*-->\n?([\s\S]*?)\n?<!--\s*review-line-end\(\1\):\s*([\s\S]*?)\s*-->/g

For each match, extract:

  • id: Comment identifier (capture group 1)
  • highlighted: The marked text (capture group 2)
  • feedback: Reviewer's comment (capture group 3)

Interactive Workflow

Step 1: Read and Parse

Read the file and extract all review comments. Present a summary:

Found 3 review comments in <filename>:

1. [inline] "implement caching" → "Consider using Redis"
2. [line] "function fetchData()..." → "Add error handling"
3. [inline] "TODO" → "Please complete this"

I'll process these one at a time.

Step 2: Process Each Comment

For each comment, display the context and use the AskUserQuestion tool to get user input:

Comment 1 of 3 [inline]

Highlighted text:
> implement caching

Reviewer feedback:
> Consider using Redis instead of in-memory cache

Then use AskUserQuestion with options:

  • Apply edit - Propose changes to address this feedback
  • Acknowledge - Remove markers only (for FYI/praise comments)
  • Skip - Keep markers for now

For "Apply edit":

  • Analyze the feedback and propose specific changes
  • Show the proposed edit to user for confirmation
  • Apply the edit
  • Remove the comment markers from around the edited text

For "Acknowledge":

  • Remove only the comment markers, preserve the content
  • Use for: praise, FYI notes, already-addressed items

For "Skip":

  • Leave everything as-is
  • Move to next comment

Step 3: Remove Markers

To remove markers while preserving content:

Inline comments: Replace <!-- review-start(ID) -->text<!-- review-end(ID): feedback --> with just text

Line comments: Replace the full block with just the content lines (no surrounding markers)

Step 4: Final Summary

After processing all comments:

Processing complete!

- Applied edits: 2
- Acknowledged: 1
- Skipped: 0

File saved.

Handling Special Cases

FYI/Praise Comments

For comments like "LGTM", "Nice work", or observations needing no action, recommend "Acknowledge" as the default option in AskUserQuestion.

Empty Feedback

If feedback is empty or whitespace only, ask if user wants to remove the markers.

Unclear Feedback

If you can't determine what change is needed, use AskUserQuestion to clarify what the reviewer meant.

Example Session

User: I'm done reviewing the plan

Claude: Let me check the file for review comments...

Found 2 review comments in api-design.md:

1. [inline] "REST endpoints" → "Consider GraphQL for flexible queries"
2. [line] "Authentication flow..." → "LGTM, nice implementation"

Comment 1 of 2 [inline]

Highlighted text:
> REST endpoints

Reviewer feedback:
> Consider GraphQL for flexible queries

[Uses AskUserQuestion tool with options: Apply edit, Acknowledge, Skip]

User: Apply edit

Claude: I'll expand this to mention both REST and GraphQL...
[Shows proposed edit, applies it, removes markers]

Comment 2 of 2 [line]

Highlighted text:
> Authentication flow using JWT tokens...

Reviewer feedback:
> LGTM, nice implementation

This is positive feedback. Recommending Acknowledge.

[Uses AskUserQuestion tool with Acknowledge as recommended option]

User: Acknowledge

Claude: Done!

Processing complete:
- Applied edits: 1
- Acknowledged: 1

File saved.

Score

Total Score

55/100

Based on repository quality metrics

SKILL.md

SKILL.mdファイルが含まれている

+20
LICENSE

ライセンスが設定されている

0/10
説明文

100文字以上の説明がある

0/10
人気

GitHub Stars 100以上

0/15
最近の活動

1ヶ月以内に更新

+10
フォーク

10回以上フォークされている

0/5
Issue管理

オープンIssueが50未満

+5
言語

プログラミング言語が設定されている

+5
タグ

1つ以上のタグが設定されている

+5

Reviews

💬

Reviews coming soon