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Skillzwave

prompt-factory

325 stars 73 forks
0
D

World-class prompt powerhouse that generates production-ready mega-prompts for any role, industry, and task through intelligent 7-question flow, 69 comprehensive presets across 15 professional domains (technical, business, creative, legal, finance, HR, design, customer, executive, manufacturing, R&D, regulatory, specialized-technical, research, creative-media), multiple output formats (XML/Claude/ChatGPT/Gemini), quality validation gates, and contextual best practices from OpenAI/Anthropic/Go...

CommandsAgents
#claude-skills-creator#token count#ai-agents#claude-code#format#technical#claude-ai#ai-tools
Also in: testing

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-code-skill-factory/prompt-factory
skilz install alirezarezvani/claude-code-skill-factory/prompt-factory --agent opencode
skilz install alirezarezvani/claude-code-skill-factory/prompt-factory --agent codex
skilz install alirezarezvani/claude-code-skill-factory/prompt-factory --agent gemini

First time? Install Skilz: pip install skilz

Works with 22+ AI coding assistants

Cursor, Aider, Copilot, Windsurf, Qwen, Kimi, and more...

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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-code-skill-factory
2. Copy the agent skill directory:
cp -r claude-code-skill-factory/generated-skills/prompt-factory ~/.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-code-skill-factory
Stars
325
Forks
73
Type
Technical
Meta-Domain
cloud infrastructure
Primary Domain
ansible
Market Score
0
Agentic Skill Grades →

Agent Skill Grade

D
Score: 63/100 Click to see breakdown

Score Breakdown

Spec Compliance
11/15
PDA Architecture
18/30
Ease of Use
18/25
Writing Style
6/10
Utility
16/20
Modifiers: -6

Areas to Improve

  • Description needs trigger phrases
  • SKILL.md Token Bloat
  • Marketing Language in Technical Skill

Recommendations

  • Address 1 high-severity issues first
  • Add trigger phrases to description for discoverability
  • Add table of contents for files over 100 lines

Graded: 2026-01-24

Developer Feedback

I took a look at prompt-factory and noticed you're tackling template composition at scale—the architecture has some solid fundamentals, but there's room to tighten up the implementation patterns and error handling to really unlock its potential.

Links:

The TL;DR

You're at 63/100, which is solidly in D territory. This is based on Anthropic's best practices for agentic skills. Your strongest area is Utility (16/20)—the preset library and validation gates are genuinely useful. The weakest link is Progressive Disclosure Architecture (18/30)—your SKILL.md is bloated at 1,110 lines when it should be ~250, which kills token efficiency.

What's Working Well

  • Comprehensive preset system: 69 presets across 15 domains give real value. The 7-point validation gates are a solid quality check that users will appreciate.
  • Multi-format support: Handling XML, JSON, YAML, and plain text output shows you understand diverse use cases.
  • Rich discoverability: Your trigger terms are well-chosen—"prompt factory," "mega-prompt," references to Claude, ChatGPT, Gemini all help users find this when they need it.
  • Structured approach: The 5-7 question flow creates predictable, repeatable results, which is exactly what users want from a factory pattern.

The Big One: SKILL.md Token Bloat

This is your biggest win waiting to happen. Your SKILL.md is 1,110 lines (~37K tokens) when Progressive Disclosure Architecture demands something closer to 250 lines. You're violating the core principle: overview + references.

Why it matters: Every word in SKILL.md burns tokens for users. Duplicating your full preset list (lines 93-124, 797-919), complete XML templates (lines 373-483), and re...

AI-Detected Topics

Extracted using NLP analysis

claude-skills-creator token count ai-agents claude-code format technical claude-ai ai-tools domain Product Manager

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