prompt-repetition

A prompt repetition technique for improving LLM accuracy. Achieves significant performance gains in 67% (47/70) of 70 benchmarks. Automatically applied on lightweight models (haiku, flash, mini).

1.56x

Quality

47%

Does it follow best practices?

Impact

97%

1.56x

Average score across 3 eval scenarios

Securityby

Passed

No known issues

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npx tessl skill review --optimize ./.agent-skills/prompt-repetition/SKILL.md

Evaluation results

100%

58%

Prompt Preprocessing Middleware

Model-aware prompt transformer

Criteria

Without context

With context

Target model list

30%

100%

Reasoning model exclusion

100%

CoT pattern detection

100%

CoT skips repetition

100%

Default 2x repetition

100%

Applied marker added

100%

Marker prevents re-application

100%

Newline separator

100%

80% context ratio

100%

Context overflow reduction

100%

Token estimation method

100%

No padding substitution

100%

96%

16%

Accuracy Boost for an Inventory Lookup and Quiz System

Position/index repetition count logic

Criteria

Without context

With context

Position pattern triggers 3x

100%

Position keyword set

80%

100%

MCQ uses 2x

100%

Applied marker present

37%

100%

Newline separator used

100%

Target model only

50%

100%

CoT not repeated

100%

No padding used

100%

Duplicate prevention check

100%

Demo output readable

100%

50%

97%

33%

Multi-Agent Analytics Pipeline with Prompt Preprocessing

Multi-agent duplicate prevention

Criteria

Without context

With context

Marker-based skip

58%

100%

Marker added on transform

60%

100%

Second agent skips re-application

100%

wrap_llm_call pattern

100%

Lightweight model auto-applied

100%

Non-lightweight model skipped

75%

100%

x-prompt-repetition-applied header/metadata

30%

100%

Pipeline simulation output

100%

CoT agent skipped

62%

No duplicate repetition in output

100%

Repository: supercent-io/skills-template
Commit: c033769

Evaluated: 28 days ago
Agent: Claude Code
Model: Claude Sonnet 4.6

Table of Contents

Prompt Preprocessing Middleware Accuracy Boost for an Inventory Lookup and Quiz System Multi-Agent Analytics Pipeline with Prompt Preprocessing

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