system-review — for Claude Code system-review, AgenticDevelopmentTeam, community, for Claude Code, ide skills, $ARGUMENTS, System, Review, Perform, meta-level

v1.0.0

À propos de ce Skill

Scenario recommande : Ideal for AI agents that need perform a meta-level analysis of how well the implementation followed the plan and identify. Resume localise : Purpose System review is NOT code review. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

Fonctionnalités

Perform a meta-level analysis of how well the implementation followed the plan and identify
System review is NOT code review. You're not looking for bugs in the code -- you're looking for
Analyze plan adherence and divergence patterns
Identify which divergences were justified vs. problematic
Surface process improvements that prevent future issues

# Sujets clés

Jack1337322 Jack1337322
[1]
[0]
Mis à jour: 3/7/2026

Skill Overview

Start with fit, limitations, and setup before diving into the repository.

Scenario recommande : Ideal for AI agents that need perform a meta-level analysis of how well the implementation followed the plan and identify. Resume localise : Purpose System review is NOT code review. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

Pourquoi utiliser cette compétence

Recommandation : system-review helps agents perform a meta-level analysis of how well the implementation followed the plan and identify. Purpose System review is NOT code review. This AI agent skill supports Claude

Meilleur pour

Scenario recommande : Ideal for AI agents that need perform a meta-level analysis of how well the implementation followed the plan and identify.

Cas d'utilisation exploitables for system-review

Cas d'usage : Applying Perform a meta-level analysis of how well the implementation followed the plan and identify
Cas d'usage : Applying System review is NOT code review. You're not looking for bugs in the code -- you're looking for
Cas d'usage : Applying Analyze plan adherence and divergence patterns

! Sécurité et Limitations

  • Limitation : Agent definition updates : Instructions that need clarification
  • Limitation : Requires repository-specific context from the skill documentation
  • Limitation : Works best when the underlying tools and dependencies are already configured

About The Source

The section below comes from the upstream repository. Use it as supporting material alongside the fit, use-case, and installation summary on this page.

Démo Labs

Browser Sandbox Environment

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

Boot Container Sandbox

FAQ et étapes d’installation

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

? Questions fréquentes

Qu’est-ce que system-review ?

Scenario recommande : Ideal for AI agents that need perform a meta-level analysis of how well the implementation followed the plan and identify. Resume localise : Purpose System review is NOT code review. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

Comment installer system-review ?

Exécutez la commande : npx killer-skills add Jack1337322/AgenticDevelopmentTeam/system-review. Elle fonctionne avec Cursor, Windsurf, VS Code, Claude Code et plus de 19 autres IDE.

Quels sont les cas d’usage de system-review ?

Les principaux cas d’usage incluent : Cas d'usage : Applying Perform a meta-level analysis of how well the implementation followed the plan and identify, Cas d'usage : Applying System review is NOT code review. You're not looking for bugs in the code -- you're looking for, Cas d'usage : Applying Analyze plan adherence and divergence patterns.

Quels IDE sont compatibles avec system-review ?

Cette skill est compatible avec 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. Utilisez la CLI Killer-Skills pour une installation unifiée.

Y a-t-il des limites pour system-review ?

Limitation : Agent definition updates : Instructions that need clarification. Limitation : Requires repository-specific context from the skill documentation. Limitation : Works best when the underlying tools and dependencies are already configured.

Comment installer ce skill

  1. 1. Ouvrir le terminal

    Ouvrez le terminal ou la ligne de commande dans le dossier du projet.

  2. 2. Lancer la commande d’installation

    Exécutez : npx killer-skills add Jack1337322/AgenticDevelopmentTeam/system-review. La CLI détectera automatiquement votre IDE ou votre agent et configurera la skill.

  3. 3. Commencer à utiliser le skill

    Le skill est maintenant actif. Votre agent IA peut utiliser system-review immédiatement dans le projet.

! Source Notes

This page is still useful for installation and source reference. Before using it, compare the fit, limitations, and upstream repository notes above.

Upstream Repository Material

The section below comes from the upstream repository. Use it as supporting material alongside the fit, use-case, and installation summary on this page.

Upstream Source

system-review

Purpose System review is NOT code review. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows. Perform a meta-level analysis of how well

SKILL.md
Readonly
Upstream Repository Material
The section below comes from the upstream repository. Use it as supporting material alongside the fit, use-case, and installation summary on this page.
Upstream Source

System Review

Perform a meta-level analysis of how well the implementation followed the plan and identify process improvements.

Purpose

System review is NOT code review. You're not looking for bugs in the code -- you're looking for bugs in the process.

Your job:

  • Analyze plan adherence and divergence patterns
  • Identify which divergences were justified vs. problematic
  • Surface process improvements that prevent future issues
  • Suggest updates to CLAUDE.md, agent definitions, and skill definitions

Inputs

Plan file: First argument from $ARGUMENTS Execution report: Second argument from $ARGUMENTS

Read both files thoroughly.

Analysis Workflow

Step 1: Understand the Planned Approach

Extract from the plan:

  • What features were planned?
  • What architecture was specified?
  • What validation steps were defined?
  • What patterns were referenced?

Step 2: Understand the Actual Implementation

Extract from the execution report:

  • What was implemented?
  • What diverged from the plan?
  • What challenges were encountered?
  • What was skipped and why?

Step 3: Classify Each Divergence

For each divergence, classify as:

Good Divergence -- Justified:

  • Plan assumed something that didn't exist in the codebase
  • Better pattern discovered during implementation
  • Performance optimization needed
  • Security issue discovered requiring different approach

Bad Divergence -- Problematic:

  • Ignored explicit constraints in plan
  • Created new architecture instead of following existing patterns
  • Took shortcuts that introduce tech debt
  • Misunderstood requirements

Step 4: Trace Root Causes

For each problematic divergence, identify the root cause:

  • Was the plan unclear? Where, why?
  • Was context missing? Where, why?
  • Was validation missing? Where, why?

Step 5: Generate Process Improvements

Based on patterns, suggest:

  • CLAUDE.md updates: Universal patterns or anti-patterns to document
  • Agent definition updates: Instructions that need clarification
  • Skill definition updates: Missing steps or unclear instructions
  • New skills: Manual processes that should be automated

Output Format

Overall Alignment Score: __/10

  • 10: Perfect adherence, all divergences justified
  • 7-9: Minor justified divergences
  • 4-6: Mix of justified and problematic divergences
  • 1-3: Major problematic divergences

Divergence Analysis

For each divergence:

  • What changed: [description]
  • Planned: [what plan specified]
  • Actual: [what was implemented]
  • Classification: Good / Bad
  • Root cause: [unclear plan | missing context | etc.]

System Improvement Actions

Update CLAUDE.md:

  • Document [pattern X] discovered during implementation
  • Add anti-pattern warning for [Y]

Update Agent Definitions:

  • Clarify [instruction] in [agent].md

Update Skill Definitions:

  • Add [missing step] to /plan skill
  • Improve [section] in /execute skill

Create New Skill:

  • /[skill-name] for [repeated manual process]

Key Learnings

What worked well:

  • [specific things that went smoothly]

What needs improvement:

  • [specific process gaps identified]

For next implementation:

  • [concrete improvements to try]

Arguments: $ARGUMENTS

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