review_skill

This skill opens an interactive markdown review UI to inspect content, capture feedback, and export approved changes.
  • Python

460

GitHub Stars

1

Bundled Files

2 months ago

Catalog Refreshed

4 months ago

First Indexed

Readme & install

Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.

Installation

Preview and clipboard use veilstrat where the catalogue uses aiagentskills.

npx veilstrat add skill team-attention/plugins-for-claude-natives --skill review

  • SKILL.md2.7 KB

Overview

This skill provides an interactive web-based markdown review UI that lets you approve, reject, and comment on individual items. It opens a browser window so you can check boxes, add notes, and submit structured feedback. Use it when you want a quick, collaborative pass over plans, docs, or code snippets.

How this skill works

The skill determines the content source from a file path, direct input, or recent conversation context, then launches the review UI by calling mcp__interactive_review__start_review. You interact with items via checkboxes and optional comments; when you submit, the tool returns a JSON summary of approvals and rejections. I parse that JSON and present a concise review summary and next-step options.

When to use it

  • You say: "review this", "check this plan", or provide a file path to review
  • You need line-item approvals or rejections with comments
  • You want an interactive, browser-based review session for markdown content
  • You prefer structured feedback (approved / needs revision) you can act on programmatically
  • You want to turn conversational content into a formal review quickly

Best practices

  • If reviewing a file, provide the explicit file path so the tool reads the correct source
  • Give a clear title or context to help reviewers focus on the right scope
  • Break large documents into sections before review to keep item lists manageable
  • Encourage reviewers to add short, actionable comments for any rejected item
  • After submission, decide whether to proceed with approved items or request revisions immediately

Example use cases

  • Review an implementation plan extracted from chat and get item-by-item approvals
  • Open a README.md or design doc for checklist-style review with comments
  • Quickly validate a release checklist or deployment plan with stakeholders
  • Collect structured feedback on a proposed API spec or feature list
  • Iteratively revise rejected items and then re-run the review

FAQ

It supports explicit file paths (reads the file), direct pasted content, or relevant recent conversation content in that priority order.

How are results returned and acted on?

The review UI returns JSON with each item's checked state and comment; I summarize counts of approved and rejected items and list comments so you can choose to proceed, revise, or both.

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review skill by team-attention/plugins-for-claude-natives | VeilStrat