prompt-master and claude-prompts

These are complements: prompt-master provides dynamic prompt generation and optimization for any AI tool, while claude-prompts offers a curated database and selection interface, so users would use claude-prompts to discover and choose from existing prompts, then apply prompt-master's refinement techniques to optimize them.

prompt-master
61
Established
claude-prompts
42
Emerging
Maintenance 23/25
Adoption 10/25
Maturity 9/25
Community 19/25
Maintenance 13/25
Adoption 5/25
Maturity 9/25
Community 15/25
Stars: 1,862
Forks: 132
Downloads:
Commits (30d): 40
Language:
License: MIT
Stars: 14
Forks: 5
Downloads:
Commits (30d): 0
Language: Python
License: MIT
No Package No Dependents
No Package No Dependents

About prompt-master

nidhinjs/prompt-master

A Claude skill that writes the accurate prompts for any AI tool. Zero tokens or credits wasted. Full context and memory retention

Implements a modular skill architecture with tool-specific prompt generation profiles for 30+ AI systems (Claude, ChatGPT, Midjourney, Stable Diffusion, etc.), automatically detecting the target tool and routing through specialized frameworks. The core pipeline extracts nine dimensions of user intent through targeted clarifying questions, applies load-bearing prompt techniques (XML structure, few-shot examples, grounding anchors), then runs a token efficiency audit to eliminate unnecessary words before delivery. Integrates directly with Claude.ai as an uploadable skill or runs as a Claude Code extension, supporting both conversational invocation and explicit `/prompt-master` commands.

About claude-prompts

AgriciDaniel/claude-prompts

AI prompt database and builder skill for Claude Code. 2,500+ curated prompts across 19 categories and 17 AI models.

Provides five Claude Code skill commands for searching, building, enhancing, and adapting prompts, powered by a Python search script that queries a 5.4 MB JSON database extracted from Airtable sources. The modular architecture uses sub-skills for specialized workflows (custom building, cross-model translation, enhancement scoring) plus reference guides for model-specific syntax, enabling both CLI and integrated Claude Code usage.

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