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Skillzwave

antipattern-detector

44 stars 10 forks
0
B

Detect common technical and organizational anti-patterns in proposals, architectures, and plans. Use when strategic-cto-mentor needs to identify red flags before they become problems.

CommandsAgentsMarketplace
#claude-ai#cto-office#Detect common#anti-patterns#Premature#Symptoms#Timeline Fantasy#cto
Also in: networking

Third-Party Agent Skill: Review the code before installing. Agent skills execute in your AI assistant's environment and can access your files. Learn more about security

Installation for Agentic Skill

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skilz install alirezarezvani/claude-cto-team/antipattern-detector
skilz install alirezarezvani/claude-cto-team/antipattern-detector --agent opencode
skilz install alirezarezvani/claude-cto-team/antipattern-detector --agent codex
skilz install alirezarezvani/claude-cto-team/antipattern-detector --agent gemini

First time? Install Skilz: pip install skilz

Works with 22+ AI coding assistants

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Download Agent Skill ZIP

Extract and copy to ~/.claude/skills/ then restart Claude Desktop

1. Clone the repository:
git clone https://github.com/alirezarezvani/claude-cto-team
2. Copy the agent skill directory:
cp -r claude-cto-team/skills/antipattern-detector ~/.claude/skills/
View on GitHub

Need detailed installation help? Check our platform-specific guides:

Claude Desktop Guide Claude Code Guide Troubleshooting

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Agentic Skill Details

Owner
alirezarezvani (GitHub)
Repository
claude-cto-team
Stars
44
Forks
10
Type
Non-Technical
Meta-Domain
development
Primary Domain
github
Market Score
0
Agentic Skill Grades →

Agent Skill Grade

B
Score: 84/100 Click to see breakdown

Score Breakdown

Spec Compliance
12/15
PDA Architecture
23/30
Ease of Use
22/25
Writing Style
8/10
Utility
18/20
Modifiers: +1

Areas to Improve

  • Missing TOC in long files
  • Reference not in references/ folder
  • Second-person usage

Recommendations

  • Add trigger phrases to description for discoverability
  • Add table of contents for files over 100 lines

Graded: 2026-01-24

Developer Feedback

I checked out your antipattern-detector skill and noticed you're tackling the "invisible debt" problem—code that technically works but slowly poisons a codebase. The analysis framework you built (84/100) handles the hard part well, though I'd be curious about your approach to reducing false positives when patterns cluster.

Links:

The TL;DR

You're at 84/100, solid B territory. This evaluation is based on Anthropic's agent skills best practices—specifically the Progressive Disclosure Architecture (PDA), ease of use, spec compliance, and utility. Your strongest area is Utility (18/20) with 25+ patterns across 5 categories that genuinely solve a real problem. The weaker spots are PDA (23/30) and Spec Compliance (12/15), mostly structural issues rather than content problems.

What's Working Well

  • Comprehensive pattern library: Your antipattern-catalog.md with 537 lines of concrete examples (scope creep, premature optimization, god objects, etc.) gives developers actual patterns to recognize. This is the meat that makes the skill valuable.
  • Clear severity framework: The classification system (critical/high/medium/low) with specific detection signals is actionable. "Look for these phrases" and "Red flags include..." give concrete entry points instead of vague guidance.
  • Smart output template: You've structured the detection output as a concrete deliverable—pattern name, severity, symptoms, recommendations—that teams can actually use in code review conversations.
  • Solid trigger phrases: The description hits the use case directly ("strategic-cto-mentor needs to identify red flags"), making discoverability straightforward.

The Big One: File Structure & Navigation

Your...

AI-Detected Topics

Extracted using NLP analysis

claude-ai cto-office Detect common anti-patterns Premature Symptoms Timeline Fantasy cto roadmap team

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