home / skills / petekp / agent-skills / review-package

review-package skill

/skills/review-package

This skill bundles current work into a self-contained review package with a contextual README and a ready-to-use review prompt.

npx playbooks add skill petekp/agent-skills --skill review-package

Review the files below or copy the command above to add this skill to your agents.

Files (5)
SKILL.md
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---
name: review-package
description: >
  Create a self-contained review package of current work for external review by another AI model
  or human reviewer. Bundles relevant files with a contextual README and instructional prompt.
  Triggers: "review package", "create review package", "hand off for review", "get a second opinion",
  "external code review", "cross-model review", "package for review", "prepare code review".
  Accepts an optional focus area argument to scope the analysis.
---

# Review Package Creator

Bundle current work into a self-contained zip with a contextual README and review prompt, ready to hand off to any external reviewer.

## Phase 1: Gather Requirements

Ask the user two questions using AskUserQuestion:

**Question 1: Review Type**
- Header: "Review type"
- Question: "What type of review do you need?"
- Options:
  1. **Code review** — Line-by-line feedback on implementation, bugs, edge cases, best practices
  2. **Architecture review** — High-level feedback on patterns, structure, design decisions
  3. **Both** — Comprehensive review covering code and architecture

**Question 2: Specific Concerns**
- Header: "Focus areas"
- Question: "Any specific concerns you want the reviewer to address?"
- multiSelect: true
- Options:
  1. **General review** — No specific focus, broad feedback welcome
  2. **Performance** — Efficiency, optimization opportunities
  3. **Security** — Vulnerabilities, input validation, auth patterns
  4. **Maintainability** — Code clarity, complexity, future extensibility

Wait for responses before proceeding.

## Phase 2: Analyze Codebase

Spawn the analyzer agent:

- **subagent_type**: `review-package-analyzer`
- **prompt**: Include focus area ($ARGUMENTS or "current work"), review type from Phase 1, and project root (cwd).

Wait for the agent to return its structured analysis.

## Phase 3: Generate README

Generate a unique suffix for temp files (e.g., timestamp: `date +%s`). Use this for all temp paths in subsequent phases.

Read `references/readme-guide.md` for structure guidelines. Write the README to `/tmp/review-readme-{suffix}.md`.

Adapt the README to the project — don't fill in a rigid template mechanically. The guide provides the sections and priorities; use judgment about what to emphasize based on the review type and analysis results.

## Phase 4: Create File List

Extract all file paths from the analysis (Core, Related, Tests, Config). Write one path per line to `/tmp/review-filelist-{suffix}.txt`.

## Phase 5: Create Package

Locate the packaging script:
```bash
find ~/.claude -path "*/review-package/scripts/create-review-zip.sh" -type f 2>/dev/null | head -1
```

Run it:
```bash
/path/to/create-review-zip.sh \
  "$(pwd)" \
  "/tmp/review-readme-{suffix}.md" \
  "/tmp/review-filelist-{suffix}.txt" \
  "review-package-$(date +%Y%m%d-%H%M%S)"
```

## Phase 6: Generate Instructional Prompt

Read `references/prompt-guide.md` for the template. Customize based on review type, focus areas, and concerns from the analysis.

Write to `/tmp/review-prompt-{suffix}.md` and copy to clipboard:
```bash
cat /tmp/review-prompt-{suffix}.md | pbcopy
```

## Phase 7: Report

Tell the user: zip location, file counts (core/related/tests), display the instructional prompt inline, and list next steps (open a new chat with any AI model, paste prompt, upload zip). Mention the prompt is on the clipboard and saved to the temp path.

Clean up temp files (keep the prompt file):
```bash
rm -f /tmp/review-readme-{suffix}.md /tmp/review-filelist-{suffix}.txt
```

## Notes

- If $ARGUMENTS is empty, the analyzer auto-detects current work from git status and recent changes
- For non-git projects, the analyzer falls back to recently-modified files
- The package is self-contained — the reviewer needs no other context
- Files are copied with directory structure preserved
- Binary files and build artifacts are excluded automatically

Overview

This skill creates a self-contained review package of your current work, bundling relevant files with a contextual README and an instructional review prompt. It scopes the bundle by an optional focus area and produces a ready-to-send zip plus the prompt copied to the clipboard for quick handoff. The package is optimized for external reviewers—human or AI—so they can review without additional context.

How this skill works

It asks two quick questions to determine review type and focus areas, then spawns an analyzer agent that inspects the project root or recent changes. The skill generates a tailored README and an instruction prompt, writes a file list, and runs a packaging script to produce a zip while preserving directory structure and excluding build artifacts. Finally it reports zip location, file counts, and copies the review prompt to the clipboard.

When to use it

  • Hand off work for an external human code or architecture review
  • Get a second opinion from another AI model or cross-model review
  • Prepare a focused review on performance, security, or maintainability
  • Package recent changes before a design or sprint review
  • Create a shareable snapshot for onboarding or audit purposes

Best practices

  • Answer the initial questions precisely to scope the review effectively
  • Provide a concise focus area or list of specific concerns when available
  • Run from the project root so the analyzer can detect git status and recent changes
  • Review the generated README and prompt before sending to ensure sensitive data is excluded
  • Keep the repo clean of build artifacts; binary exclusions are automatic but verify large files

Example use cases

  • Prepare a code review package focusing on bug-prone modules for a senior engineer
  • Create an architecture review bundle to discuss high-level patterns with an architect
  • Send a security-focused package to a security team with explicit threat concerns listed
  • Produce a maintainability package for a refactor planning session
  • Generate an AI-directed prompt and zip to request an automated code audit

FAQ

Can I scope the review to a specific folder or files?

Yes. Provide an optional focus area when invoking the skill; the analyzer will restrict analysis to that scope or to recent changes when none is provided.

Is sensitive data excluded automatically?

The packaging excludes common build artifacts and binaries, but you should review the generated README and file list to ensure no secrets are included before sending.