Agent skill · writing content · sundial-org
prompt-optimizer
Evaluate, optimize, and enhance prompts using 58 proven prompting techniques. Use when user asks to improve, optimize, or analyze a prompt; when a prompt needs better clarity, specificity, or structure; or when generating prompt variations for different use cases. Covers quality assessment, targeted improvements, and automatic optimization across techniques like CoT, few-shot learning, role-play, and 50+ more.
Why this skill is useful
Provides a systematic approach to prompt optimization using 58 techniques that the AI wouldn't reliably generate on its own.
What it needs
About 4k tokens when loaded. Last updated 2026-03-07. 639 stars on the source repository.
What this skill does
Prompt Optimizer Overview Evaluate prompt quality, provide targeted improvement suggestions, and generate optimized versions using 58 proven prompting techniques. This skill systematically analyzes prompts across multiple quality dimensions and applies evidence-based optimization patterns. Quick Start For most optimization tasks, follow this workflow: 1. Analyze the current prompt - Read and understand what the user wants to achieve 2. Evaluate quality - Assess across clarity, specificity, structure, completeness 3. Load relevant techniques - Read references/prompt-techniques.md for applicable methods 4. Generate suggestions - Use evaluation results and techniques to propose improvements 5. Create optimized version - Apply chosen techniques to produce an enhanced prompt Evaluation Workflow When a user asks to optimize or evaluate a prompt: Step 1: Load Quality Framework Read references/quality-framework.md to understand evaluation dimensions: Clarity - Is the prompt unambiguous and easy to understand? Specificity - Are requirements and constraints clearly defined? Structure - Does it follow logical organization? Completeness - Does it include all necessary context and instructions? Tone - Is the voice appropriate for the task? Constraints - Are boundaries and limitations clear? Step 2: Perform Quality Assessment Evaluate the prompt against each dimension: Step 3: Identify Applicable Techniques Load references/prompt-techniques.md and identify techniques that address the identified weaknesses. Example mapping: Weak: "Be creative" → Apply: Role-play or Creative Persona Weak: "Write an essay" → Apply: Chain of Thought or Step-by-Step Weak: "Summarize this" → Apply: Few-shot Learning with examples Step 4: Generate Optimization Plan Create a structured optimization plan: 1. Priority improvements - High-impact changes that address multiple weaknesses 2. Optional enhancements - Nice-to-have techniques that boost performance 3. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills sundial-org/prompt-optimizer