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deepseek-prompt-review

Reviews and rewrites prompts optimized for DeepSeek models with cross-model compatibility checks.

Updated Jul 6, 2026
Search Tags:#prompt engineering#prompt optimization#llm#deepseek#prompt review#cross-model compatibility
One-click install
npx skills add https://github.com/Lucien-1127/strata-skill --skill deepseek-prompt-review-lucien-1127
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: deepseek-prompt-review
Source: https://github.com/Lucien-1127/strata-skill/tree/main/deepseek-prompt-review
Command: npx skills add https://github.com/Lucien-1127/strata-skill --skill deepseek-prompt-review-lucien-1127

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Prompt drafts often underperform on DeepSeek models because they fail to leverage DeepSeek's deep reasoning and long-context capabilities, and they may break when reused on other models like GPT, Gemini, or Claude. ## Core Features & Use Cases - Prompt Review: Identifies 2-4 critical flaws in a submitted prompt draft, such as ambiguity, missing constraints, or weak structure. - DeepSeek-Optimized Rewriting: Produces an optimized prompt version tailored for DeepSeek V4 Flash/Pro reasoning and long-context strengths. - Cross-Model Compatibility Notes: Flags elements that may behave differently on GPT, Gemini, or Claude so the prompt stays portable. - Use Case: Paste a draft system prompt for a DeepSeek-powered agent and receive a diagnosis, a rewritten version, a before/after comparison table, and compatibility warnings. ## Quick Start Paste your prompt draft and say "help me review this prompt for DeepSeek" to receive the flaw analysis, optimized rewrite, and compatibility notes.

Frequently Asked Questions about deepseek-prompt-review

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I optimize a prompt for DeepSeek models?▼

Submit your prompt draft for review to receive a diagnosis of 2-4 critical flaws and a rewritten version. The optimization targets DeepSeek's deep reasoning and long-context capabilities while keeping the structure portable to other models.

What output does a DeepSeek prompt review produce?▼

The review produces four sections: identified problem points, an optimized prompt version, a before-and-after improvement comparison table, and model compatibility notes covering GPT, Gemini, and Claude.

Will a DeepSeek-optimized prompt work on GPT or Claude?▼

The review explicitly checks cross-model compatibility and flags elements that may behave differently on GPT, Gemini, or Claude. The optimized output includes compatibility notes so you can adjust before deploying elsewhere.

When should I use prompt review instead of writing a prompt from scratch?▼

Use prompt review when you already have a working draft that underperforms or behaves inconsistently. It is most effective for diagnosing specific flaws in existing prompts rather than generating prompts for entirely new tasks.

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