prompt-optimization-analyzer

Token efficiency involves removing redundant phrases, consolidating examples, and using concise trigger patterns. This Skill analyzes your prompt to identify verbose sections, conflicting instructions, and unnecessary repetition, then recommends specific cuts and rewrites that maintain clarity while lowering token consumption.

Trigger failures often stem from ambiguous activation phrases, conflicting conditions, or unclear context. This Skill diagnoses trigger pattern issues by evaluating how your prompt signals intent to the AI agent, pinpoints miscommunication, and suggests clearer trigger wording with concrete before-and-after examples.

Prompt anti-patterns include ambiguous instructions, contradictory rules, over-explanation, and unclear expected outputs. This Skill detects these structural flaws through systematic review, ranks findings by severity, and provides actionable fixes to improve prompt reliability and AI consistency.

Publication-ready prompts must be efficient, clear, and robust. This Skill runs a comprehensive diagnostic checklist covering trigger patterns, token efficiency, anti-pattern detection, and structural clarity, then outputs a prioritized report with recommended fixes so your skill performs reliably at scale.

Inconsistency usually traces to ambiguous instructions, missing context, or conflicting rules in your prompt. This Skill identifies these sources through structured analysis, explains why outputs vary, and suggests rewrites that establish clear expectations and consistent AI behavior.