prompt-master and claude-skill-prompt-architect
These are **competitors**: both tools automate prompt engineering to optimize AI interactions, with A focusing on token efficiency and memory retention while B emphasizes structured frameworks—users would select one based on their preference for simplicity versus methodology-driven approaches.
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-skill-prompt-architect
ckelsoe/claude-skill-prompt-architect
Claude Code skill that transforms vague prompts into structured, expert-level prompts using 7 research-backed frameworks (CO-STAR, RISEN, RISE, TIDD-EC, RTF, CoT, CoD)
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work