Risk-Adjusted Planning

Risk-Adjusted Planning is an AI Engineering skill for Claude Code, published by Joonghyun-Lee-Frieren in oh-my-antigravity.

210 stars27 forkson Joonghyun-Lee-Frieren/oh-my-antigravityAdded 2026/09/04Repository updated 2026/06/22

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Install in seconds

Install Risk-Adjusted Planning

Copy Risk-Adjusted Planning into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/Joonghyun-Lee-Frieren/oh-my-antigravity/tree/main/skills/ralplan ~/.claude/skills/ralplan

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/Joonghyun-Lee-Frieren/oh-my-antigravity.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/ralplan/SKILL.md in Joonghyun-Lee-Frieren/oh-my-antigravity
Installs to: ~/.claude/skills/ralplan
Collection: One of 11 skills cataloged from this repository
Category: AI Engineering — 2970 skills

What Risk-Adjusted Planning does

Risk-Adjusted Planning helps structure high-risk work with stage gates, pass/fail criteria, and rollback points. Use it for refactors, migrations, or other changes that need correctness and risk control before coding.

Risk-Adjusted Planning is cataloged under AI Engineering on DirSkills. Risk-Adjusted Planning comes from a repository tagged agent-skills, agentic-ai, agentic-workflow, antigravity and antigravity-cli.

Documentation

README

From the original repository

Purpose

Use this skill when planning must prioritize correctness and risk control over speed.

Trigger

High-risk refactors or migrations
Security or reliability-sensitive changes
User asks for strict planning before coding

Workflow

Define objective, constraints, and non-goals.
Build a stage-gated plan (plan -> prd -> exec -> verify -> fix).
Define hard pass/fail criteria per stage.
Include rollback points and stop conditions.
Add validation gates before release readiness.

Output Template

## Goal
- ...

## Stage Gates
| Stage | Entry Criteria | Exit Criteria | Owner |
| --- | --- | --- | --- |

## Risk Controls
- ...

## Rollback Plan
- ...

Frequently asked about Risk-Adjusted Planning

What else does Joonghyun-Lee-Frieren publish alongside Risk-Adjusted Planning?
Risk-Adjusted Planning is one of 11 skills that DirSkills catalogs from Joonghyun-Lee-Frieren/oh-my-antigravity, the repository it ships in. Its siblings there include Blueprint, Context Optimize and Deep Dive. Each one is a separate skill with its own page in this directory, installs the same way Risk-Adjusted Planning does, and is maintained by Joonghyun-Lee-Frieren in that same repository. The rest of the collection is listed on the Joonghyun-Lee-Frieren/oh-my-antigravity page.
How does Risk-Adjusted Planning compare to other AI Engineering skills?
Risk-Adjusted Planning ranks #2698 by stars among the 2970 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Risk-Adjusted Planning against them. Open each page to compare what they document and how they install.