Optimize prompts and system messages through a multi-phase PromptForge pipeline.
npx skills add https://github.com/cryptopafi/nexusos-skills --skill opt
Please help me install this Agent Skill. Skill: opt Source: https://github.com/cryptopafi/nexusos-skills/tree/main/opt Command: npx skills add https://github.com/cryptopafi/nexusos-skills --skill opt
This Skill converts rough or unclear prompts, system messages, and instructions into clearer, more complete, and agent-appropriate prompts to reduce wasted iterations and improve model output quality.
Use the /opt command to optimize the prompt "Create a concise and persuasive product description for a new wireless earbud".
High-intent search queries and answers about installing and using this skill.
Optimizing a system prompt involves classifying input complexity and applying a multi-phase pipeline that refines clarity, completeness, and agent suitability to achieve a scored, high-impact instruction.
The best way to refine raw prompts is using a PRODUCTION classification flow that applies multi-phase optimization, scores the result 0-100, and optionally persists high-scoring variants to a Cortex collection for reuse.
Prompt classification improves engineering results by automatically categorizing inputs as TRIVIAL, STANDARD, COMPLEX, or PRODUCTION, which selects the appropriate optimization path and specific techniques for each scenario.
Yes, you can optimize technical code-generation instructions. The Skill handles casual, creative, technical, and production scenarios, refining agent briefs and instructions to reduce wasted iterations and improve model output.
Your prompt scores low because the optimization pipeline evaluates clarity, completeness, correctness, and focus using a 0-100 scoring breakdown, identifying structural weaknesses in raw prompts, system messages, or agent briefs.
You should avoid automated prompt optimization pipelines for trivial requests that require no structural refinement, as the classification gate will route them differently to avoid unnecessary processing overhead.
automagik-devTransform unstructured text or file content into structured prompts for AI agents.
smykla-skalskiGenerate optimized AI prompts from rough instructions for Claude or GPT.
moniburnejkoAudit Cortex prompt templates for JSON structure, output instructions, and safety patterns.
ntaksh42Analyze LLM prompts for clarity, specificity, and structure with improvement suggestions.
