From formal-verify
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.
npx claudepluginhub petekp/agent-skills --plugin literate-guideThis skill uses the workspace's default tool permissions.
Bundle current work into a self-contained zip with a contextual README and review prompt, ready to hand off to any external reviewer.
Guides Next.js Cache Components and Partial Prerendering (PPR) with cacheComponents enabled. Implements 'use cache', cacheLife(), cacheTag(), revalidateTag(), static/dynamic optimization, and cache debugging.
Guides building MCP servers enabling LLMs to interact with external services via tools. Covers best practices, TypeScript/Node (MCP SDK), Python (FastMCP).
Generates original PNG/PDF visual art via design philosophy manifestos for posters, graphics, and static designs on user request.
Bundle current work into a self-contained zip with a contextual README and review prompt, ready to hand off to any external reviewer.
Ask the user two questions using AskUserQuestion:
Question 1: Review Type
Question 2: Specific Concerns
Wait for responses before proceeding.
Spawn the analyzer agent:
review-package-analyzerWait for the agent to return its structured analysis.
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.
Extract all file paths from the analysis (Core, Related, Tests, Config). Write one path per line to /tmp/review-filelist-{suffix}.txt.
Locate the packaging script:
find ~/.claude -path "*/review-package/scripts/create-review-zip.sh" -type f 2>/dev/null | head -1
Run it:
/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)"
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:
cat /tmp/review-prompt-{suffix}.md | pbcopy
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):
rm -f /tmp/review-readme-{suffix}.md /tmp/review-filelist-{suffix}.txt