skills.rest
ether-moon
ether-moonCOMMUNITY
Explore all skills by this author →
GitHub

consulting-peer-llms

Run parallel LLM CLI reviews and synthesize prioritized reports.

Updated Nov 9, 2025
Search Tags:#git#code review#cli#llm#synthesis#parallel-execution#peer-review
One-click install
npx skills add https://github.com/ether-moon/skill-set --skill consulting-peer-llms
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: consulting-peer-llms
Source: https://github.com/ether-moon/skill-set/tree/main/plugins/skill-set/skills/consulting-peer-llms
Command: npx skills add https://github.com/ether-moon/skill-set --skill consulting-peer-llms

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Provide independent external validation of repository changes by running multiple CLI-based LLM reviewers in parallel and producing a single synthesized, actionable report that surfaces high-impact issues and concrete fixes.

Core Features & Use Cases

  • Automatic CLI detection: Auto-detects installed CLIs (gemini, codex) and uses all available validators.
  • Parallel execution & collection: Runs non-interactive, one-shot CLI commands in parallel with timeout support and collects raw outputs per CLI.
  • Transparent synthesis: Presents raw responses first, then consolidates duplicates, filters noise, prioritizes by impact, and provides actionable fixes.
  • Use Case: Run comprehensive cross-LLM reviews of a feature branch before creating a pull request to surface security, correctness, and style issues.

Quick Start

Request a peer LLM review of the current branch and synthesize a prioritized, actionable report.

Frequently Asked Questions about consulting-peer-llms

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I run parallel LLM code reviews on my git branch?▼

Parallel LLM code reviews execute by auto-detecting installed CLI validators like gemini and codex, running non-interactively on git diffs, and synthesizing a consolidated prioritized report.

Can I use multiple LLM CLIs to review repository changes simultaneously?▼

Yes, multiple LLM CLIs can review repository changes simultaneously. The process detects available CLI tools, executes one-shot commands with timeouts in parallel, and collects raw outputs for synthesis.

What is the best way to synthesize feedback from multiple LLM code reviewers?▼

Synthesizing feedback from multiple LLM code reviewers involves consolidating duplicate findings, filtering noise, prioritizing by impact, and generating a single actionable report with concrete fixes.

Does peer LLM review work without embedding file contents in prompts?▼

Yes, peer LLM review works without embedding file contents in prompts. The process evaluates branch diffs, focused files, or specified requirements directly through CLI execution.

What are the limitations of using CLI-based LLMs for automated code review?▼

CLI-based LLM automated code review requires installed CLI tools like gemini or codex, relies on non-interactive one-shot commands with timeouts, and focuses on branch diffs rather than embedded file contents.

Related Skills

Explore More Software Engineering Skills→
erenisiklarerenisiklar

second-opinion

Orchestrate Codex CLI and Gemini CLI reviews on code diffs and commits.

Community
Advanced
ql-linkql-link
5

code-review-and-quality

Automate code quality reviews across five dimensions with prioritized feedback.

Official
Advanced
robit-manrobit-man

regression-bisect

Automate git bisect to identify the commit that introduced a regression.

Community
Advanced
Im5tuIm5tu
6

dispatching-parallel-agents

Dispatch parallel agents to investigate independent failures concurrently.

Community
Basic