review-issue-implementation — review-issue-implementation install review-issue-implementation, codex-planning-kit, community, review-issue-implementation install, ide skills, review-issue-implementation for AI agents, Claude Code, Cursor, Windsurf

v1.0.0
GitHub

About this Skill

Perfect for Code Review Agents needing advanced implementation analysis and best practice validation. review-issue-implementation is a skill that assesses code changes against issue cards and ExecPlans, ensuring adherence to the DRY principle and best practices.

Features

Verifies code changes against issue card files (ISSUE_PATH)
Assesses regression risk and provides prioritized findings
Identifies implementation mistakes and bad practices
Enforces the DRY principle and best practices
Supports ExecPlan verification
Provides clear ratings for code reviews

# Core Topics

EEstevanell EEstevanell
[0]
[0]
Updated: 3/8/2026

Agent Capability Analysis

The review-issue-implementation skill by EEstevanell is an open-source community AI agent skill for Claude Code and other IDE workflows, helping agents execute tasks with better context, repeatability, and domain-specific guidance. Optimized for review-issue-implementation install, review-issue-implementation for AI agents.

Ideal Agent Persona

Perfect for Code Review Agents needing advanced implementation analysis and best practice validation.

Core Value

Empowers agents to verify code changes against issue cards and ExecPlans, assessing regression risk and providing clear ratings with prioritized findings using the DRY principle and best practices.

Capabilities Granted for review-issue-implementation

Automating code reviews for implementation mistakes
Identifying best practice violations in code changes
Assessing regression risk for issue card implementations

! Prerequisites & Limits

  • Requires ISSUE_PATH and EXECPLA inputs
  • Must follow the DRY principle and best practices
  • No support for over-engineering or cluttered code
Labs Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

review-issue-implementation

Install review-issue-implementation, an AI agent skill for AI agent workflows and automation. Works with Claude Code, Cursor, and Windsurf with one-command...

SKILL.md
Readonly

Review Issue Implementation

Overview

Use this skill to verify that code changes satisfy issue cards and ExecPlans, assess regression risk, and provide a clear rating with prioritized findings. Look for implementation mistakes, things that can lead to errors, or bad practices. We do not want over engineering, nor cluttering too much. We must follow the DRY principle and the best practices and guidelines.

Inputs (required)

  • ISSUE_PATH: Path to the issue card file (required).
  • EXECPLAN_PATH: Path to the ExecPlan file (required).
  • DIFF_RANGE: Diff range to review (optional). Default to STAGED (staged changes) when not provided. Use WORKING_TREE for working tree vs HEAD, or provide an explicit range (for example, main..feature-branch, <base>..<head>, or a commit hash).
  • Require ISSUE_PATH and EXECPLAN_PATH; ask for them if missing or ambiguous.

Inputs (optional)

  • SCOPE_NOTES: Focus area or high-risk surfaces to emphasize (for example, auth, data migrations, UI flows).
  • TEST_EVIDENCE: Commands run and key results, if already executed by the user.

Workflow (default)

  1. Intake and scope
    • Collect issue card path(s), ExecPlan path(s), and the diff range (working tree vs HEAD, commit range, or branch).
    • If any are missing, ask for the minimum needed to review (prefer file paths and a diff range).
  2. Load governing docs
    • Read AGENTS.md and PLANS.md from the repo root if they are not already in context.
    • Read each issue card and ExecPlan; extract explicit requirements, acceptance criteria, and any approved scope expansions.
  3. Diff-first review
    • Use git status, git diff --stat, and git diff (plus git diff --cached if staged) to identify touched files.
    • Open files only to validate behavior or get precise line references.
  4. Requirements alignment
    • Map each requirement to the actual change; mark gaps, partial coverage, or behavior mismatches.
    • If a refactor or file move appears, verify explicit approval in the issue/plan; otherwise flag as scope risk.
  5. Risk and regression analysis
    • Evaluate correctness, safety, and unintended side-effects (security, data integrity, background jobs, UI flows).
    • Look for masked invalid states; changes should fail explicitly with clear errors.
  6. Tests and verification
    • Note new/updated tests, and gaps. Highlight required checks from AGENTS.md if not evident.
  7. Output
    • Produce findings first (ordered by severity, with file/line references).
    • Provide rating and risk summary using the rubric in .codex\skills\review-issue-implementation\references\review-checklist.md.
    • Follow with open questions/assumptions and a brief change-summary (only after findings).

Output order (use this sequence)

  1. Findings (severity order; include file path + line)
  2. Open questions / assumptions
  3. Rating (per category + overall status + risk level)
  4. Change summary (brief)

Resources

Use .codex\skills\review-issue-implementation\references\review-checklist.md for the rating rubric, risk prompts, and repo-specific checks.

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is review-issue-implementation?

Perfect for Code Review Agents needing advanced implementation analysis and best practice validation. review-issue-implementation is a skill that assesses code changes against issue cards and ExecPlans, ensuring adherence to the DRY principle and best practices.

How do I install review-issue-implementation?

Run the command: npx killer-skills add EEstevanell/codex-planning-kit/review-issue-implementation. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for review-issue-implementation?

Key use cases include: Automating code reviews for implementation mistakes, Identifying best practice violations in code changes, Assessing regression risk for issue card implementations.

Which IDEs are compatible with review-issue-implementation?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for review-issue-implementation?

Requires ISSUE_PATH and EXECPLA inputs. Must follow the DRY principle and best practices. No support for over-engineering or cluttered code.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add EEstevanell/codex-planning-kit/review-issue-implementation. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use review-issue-implementation immediately in the current project.

Related Skills

Looking for an alternative to review-issue-implementation or another community skill for your workflow? Explore these related open-source skills.

View All

widget-generator

Logo of f
f

f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.

149.6k
0
AI

flags

Logo of vercel
vercel

flags is a Next.js feature management skill that enables developers to efficiently add or modify framework feature flags, streamlining React application development.

138.4k
0
Browser

zustand

Logo of lobehub
lobehub

The ultimate space for work and life — to find, build, and collaborate with agent teammates that grow with you. We are taking agent harness to the next level — enabling multi-agent collaboration, effortless agent team design, and introducing agents as the unit of work interaction.

72.8k
0
AI

data-fetching

Logo of lobehub
lobehub

The ultimate space for work and life — to find, build, and collaborate with agent teammates that grow with you. We are taking agent harness to the next level — enabling multi-agent collaboration, effortless agent team design, and introducing agents as the unit of work interaction.

72.8k
0
AI