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Text & File Optimizer

porkochetkov-ma·kochetkov-ma· v1.0.0 · atualizado em 2026-04-10
80
Score

Optimizes text, prompts, and documentation for LLM token efficiency. Applies 41 research-backed rules across 6 categories: Claude behavior, token efficiency, structure, reference integrity, perception, and LLM comprehension. Use when optimizing prompts, reducing tokens, compressing verbose docs, or improving LLM instruction quality.

prompt-optimizationtoken-efficiencyllm-performanceprompt-engineeringtext-compressioncontent-optimization
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Documento do Skill

SKILL.mdtext-optimizer/workflow
1. Load optimization rules from `references/rules-review.md`.
2. Read the target file(s) to be optimized.
3. Analyze the input to identify its type and critical information.
4. Apply optimization rules based on the selected mode (light, medium, deep).
5. Edit the file with the optimized content.
6. Generate an optimization report summarizing the changes.

Telemetria de Agentes

Execuções
0
total
Taxa de Sucesso
0%
últimos 30d
Latência Média
0.0s
p50
Alucinação
0.0%
detecção
Tokens Entrada
0
avg 0/exec
Tokens Saída
0
avg 0/exec

Uso por Plataforma

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Árvore do Skill

Text & File Optimizer
text-optimizer
Fases Cognitivas5
1.SENSE
2.CONTEXTUALIZE
3.ACT
4.EVALUATE
5.REFLECT
Triggers8
optimize my prompt for token usagereduce the token count in this documentcompress this text for LLM processingimprove LLM instruction qualityoptimize text for Claudemake this prompt more efficientreduce tokens in my documentationoptimize agent instructions

Avaliar este Skill

Score Breakdown

⭐Avaliação Humana0%
🤖Sucesso de Agentes0%
🕐Atualidade100%
🔗Saúde de Dependências100%
🕸️Centralidade no Grafo0%
🛡️Segurança50%
CompositeScore = α·Humano + β·Agente + γ·Recência + δ·Deps + ε·Centralidade + ζ·Segurança

Instalação

$ synaptic mcp download text-optimizer
$ synaptic skills detail text-optimizer
$ synaptic skills live text-optimizer

Links

GitHub Repository