双Gemini策略
从主要模型生成一个候选结果，从互补的辅助模型（自动解析）生成另一个候选结果。评判代理将两者进行比较，在产生分歧的地方优先选择措辞更保守的版本。
使用Go语言实现的智能音频转录：并行转录代理，一个LLM评判代理从中选择最佳结果，并可通过代理技能进行扩展。
这个Go语言实现的音频转录技能采用双模型策略，同时从主要模型和辅助模型生成两个候选转录结果，并利用一个LLM评判代理自动比较和选择更优的输出。其核心优势在于通过并行代理架构提高转录准确性和可靠性：当两个模型对特定词句产生分歧时，评判代理会优先选择措辞更保守、更保险的版本。该技能支持多种AI代理平台（如Claude Code、Cursor、Codex等），开发者可以通过编写自定义的Agent Skills轻松扩展其功能。整体设计体现了模块化和智能决策的思想，适合需要高质量音频转录的应用场景。
npx skills add cyanxxy/transcription-agent-goInstalled? 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 →
从主要模型生成一个候选结果，从互补的辅助模型（自动解析）生成另一个候选结果。评判代理将两者进行比较，在产生分歧的地方优先选择措辞更保守的版本。
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.