skills.rest
inference-sim
inference-simOFFICIAL
Explore all skills by this author →
GitHub

review-plan

Review Claude Code implementation plans via OpenAI-compatible LLM APIs.

2|1|Updated Feb 17, 2026
Search Tags:#automation#code review#llm#risk assessment#plan validation#technical feedback
One-click install
npx skills add https://github.com/inference-sim/sdlc-plugins --skill review-plan-inference-sim
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: review-plan
Source: https://github.com/inference-sim/sdlc-plugins/tree/main/plugins/research-ideas/skills/review-plan
Command: npx skills add https://github.com/inference-sim/sdlc-plugins --skill review-plan-inference-sim

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the process of sending implementation plans to an LLM for independent technical review, identifying potential issues and suggesting improvements before development begins.

Core Features & Use Cases

  • Automated Technical Review: Submit your Claude Code implementation plans to advanced LLMs for detailed feedback.
  • Proactive Issue Detection: Identify gaps, risks, and missing edge cases early in the development cycle.
  • Use Case: Before starting a complex feature, you can run your detailed plan through /review-plan to get feedback from GPT-4o or Claude Opus, ensuring a more robust and well-considered approach.

Quick Start

Use the review-plan skill to send the plan file '~/claude/plans/my-plan.md' to the Azure/gpt-4o model for review.

Frequently Asked Questions about review-plan

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

FAQPage Schema
How do I get automated LLM technical review for a code implementation plan?▼

To get automated LLM technical review, you submit your implementation plan file to an external LLM via an OpenAI-compatible API, which returns detailed feedback on gaps, risks, and missing edge cases.

Can I use GPT-4o or Claude Opus to validate implementation plans before development?▼

Yes, you can validate implementation plans using models like Azure/gpt-4o, GCP/gemini-2.5-flash, and aws/claude-opus-4-6, routing requests through an OpenAI-compatible API for independent technical feedback.

Does the LLM code review process redact sensitive secrets before sending the plan?▼

Yes, the automated technical review process includes automatic secret redaction, ensuring sensitive information is removed from your implementation plan before it is transmitted to the external LLM.

What is the best way to assess technical risks in software development plans early?▼

The best way to assess technical risks early is to route development plans to an external LLM for independent technical review, enabling proactive issue detection and risk assessment before coding begins.

Do I need to check model connectivity before requesting an automated technical review?▼

Yes, the automated technical review workflow performs automatic model connectivity checks to verify that the selected external LLM endpoint is reachable before submitting your implementation plan for feedback.

Related Skills

Explore More Software Engineering Skills→
syeda-hoorain-alisyeda-hoorain-ali

llm-provider-configuration

Configure the OpenAI Agents SDK with a custom base URL and API key for alternative LLM providers.

Community
Intermediate
FourthWizFourthWiz
2

revise

Revise implementation plans by applying critic feedback and appending changelog entries.

Community
Intermediate
heyallencaoheyallencao
118

pr-prep

Automates PR summaries, validation reports, and risk disclosures from git diffs.

Community
Intermediate
AhmedElhadareyAhmedElhadarey
2

cto-plan-reviewer

Review execution plans for architectural issues and tech debt before implementation.

Community
Advanced