text-optimizer 是做什么的？
优化文本、提示词和文档，提升LLM token效率。应用41条研究支持的规则，涵盖6个类别：Claude行为、token效率、结构、引用完整性、感知和LLM理解。适用于优化提示词、减少token、压缩冗长文档或提升LLM指令质量。
针对LLM token效率优化文本、提示词和文档。应用41条研究支持的规则，涵盖6个类别：Claude行为、token效率、结构、引用完整性、感知和LLM理解。适用于优化提示词、减少token、压缩冗长文档或提升LLM指令质量。
kochetkov-ma/text-optimizer 是一个专门用于优化LLM token效率的技能。它基于41条研究支持的规则，系统性地改进文本、提示词和文档，使其对LLM更加友好和高效。规则涵盖6个关键类别：调整Claude行为以减少幻觉，提升token效率以降低成本和延迟，优化结构以增强可读性，确保引用完整性防止遗漏，改善感知使输出更自然，以及增强LLM理解避免误解。该技能特别适合在需要压缩冗长文档、优化复杂提示词或提升LLM指令质量时使用。支持在Claude Code、Cursor等AI智能体平台上通过调用skill直接应用。其工作流程是自动扫描输入文本，应用相关规则，并输出优化后的版本，同时提供变更摘要。这一过程显著提升了LLM交互的效率和质量，是开发者优化AI工作流的实用工具。
npx skills add https://github.com/kochetkov-ma/claude-brewcode/tree/main/skills/text-optimizerInstalled? Explore more 研究与数据分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
优化文本、提示词和文档，提升LLM token效率。应用41条研究支持的规则，涵盖6个类别：Claude行为、token效率、结构、引用完整性、感知和LLM理解。适用于优化提示词、减少token、压缩冗长文档或提升LLM指令质量。
This repo contains 1 individual skill — each has its own dedicated page.
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.