KingPrompt

This is the amazing claude, GPT etc.

The AGENTS.md Optimizer that flags over-strict boundaries and exports a trimmed draft addresses a real problem, since agent instruction files tend to bloat over time. Does it show what changed between the original and the trimmed version, so you can review that no important constraints were dropped?

A directory plus a prompt builder in one place is useful, since most people tune prompts and track model changes separately. I like that Express mode gives a quick start with no signup. Can Studio mode export prompts as reusable templates for agent system prompts?

The AGENTS.md Optimizer is the feature that stood out most — bloated agent instructions are a real pain, and flagging over-strict boundaries before exporting a trimmed draft is a practical fix rather than just another prompt template. Pairing that with a reusable Agent Skills catalog and a Saved Vault makes prompts repeatable across projects instead of one-off chat tricks. Does the optimizer also suggest which rules to keep when two instructions conflict, or does it only trim by length?

The AGENTS.md Optimizer is a clever idea — bloated agent instructions are a real pain point. Does it explain why it flags a given rule as over-strict, so you can learn from the suggestions rather than just accept the trimmed draft?

The AGENTS.md optimizer is a clever addition. Most prompt tools ignore agent config files. Does the Studio builder let you version prompts and compare outputs across models side by side? Pairing that with the model tracker would make it really useful for production work.

The flexibility between local execution, Docker, and Kubernetes is super clean for scaling up workflows. How are you handling state persistence and memory cleanup across long-running subagent tasks when deployed in a K8s environment?

This is a great resource for anyone working seriously with AI! 🚀 I especially like the focus on structured prompt engineering, reusable workflows, and agent optimization rather than just basic prompt generation. Having a prompt library, skills catalog, and AI model directory all in one place makes KingPrompt even more valuable. Definitely worth exploring for developers and AI builders. Great work, team! 👏

Express Mode for a guided form versus Studio Architect for a full system-prompt editor is a useful split. The model landscape that tracks prompt formats across Claude, GPT, Gemini, DeepSeek, and Llama is the part I would open first, because the same instruction often needs a different shape per model. Does the vault store one prompt with per-model variants, or only a single version?

This is a really practical tool! 🚀 Optimizing up to 90 stops at once without needing an account is incredibly useful for delivery drivers, businesses, and anyone running multiple errands. I especially like the ability to share routes with drivers and integrate directly with Google Maps and Apple Maps. Simple, efficient, and no unnecessary friction. Great work, team Daymilo! 👏

The interface is very clean and it solves a real workflow headache.

Having Express mode for quick starts and Studio mode for full system prompts in the same workbench is a nice touch, and the model landscape pages are handy for keeping up with prompt formats. Would you consider adding a side-by-side comparison of the same prompt adapted for different models?

The AGENTS.md optimizer is the standout. Most prompt tools stop at chat prompts, but agent instruction files are where the bloat actually builds up, so pointing an audit at them is a genuinely good idea.

Having Express Mode for quick prompts alongside Studio Architect for full system prompts is a sensible split: beginners get a guided start while teams can still standardize production prompts. The AGENTS.md Optimizer is the most distinctive feature, since bloated agent instructions are hard to review manually. Does the optimizer explain why it flags a boundary as over-strict, so a team can learn from the trim rather than just accept it?

The AGENTS.md Optimizer that flags over-strict boundaries and exports a trimmed draft is a neat idea. Does it explain why each rule was flagged, or just give the shortened result?

Having Express Mode for quick prompts and Studio Architect for full system prompts lets a beginner and an expert use the same tool. Could the Saved Vault keep version history, so I can compare how a prompt changed after tweaking it for a different model? Side by side outputs from two prompt versions would be a great addition.

Love the idea of treating prompts as reusable assets instead of temporary chat inputs. Having a dedicated workspace for building, testing, and organizing prompts can save teams a lot of time and improve consistency. Wishing the project continued success!

this is great. can generate prompts for your work.

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The AGENTS.md Optimizer is a really practical idea, since bloated agent instructions are a common pain. Does the Studio Architect export prompts in model-specific formats for Claude, GPT and Gemini?