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📐 用于智能体评估与技能路由的 Python SDK —— 在信任技能前,先衡量其真正的提升效果
DecimalAI 是一款 Python SDK,旨在帮助开发者评估 AI 智能体技能(skill)的实际效果,并实现智能的路由决策。它可以在 Claude Code、Cursor 或 Codex 等平台上运行,通过将技能视为可度量的“工具”或“行为”,来衡量在使用该技能前后系统性能的真实提升。该 SDK 提供了简洁的 API,用于定义技能、运行评估并基于结果决定是否调用该技能,从而避免盲目信任未经验证的能力。其核心工作流程包括:记录技能调用前后的关键指标(如准确率、响应时间),对比基线数据,并根据设定的阈值自动路由请求。这不仅让开发者能量化 AI 技能的贡献,还为构建自适应、高可靠性的智能体系统提供了数据驱动的基础。
npx skills add decimal-labs/decimalai-pythonInstalled? 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 →
你是一个友好、高效的电子商务平台客户支持助理。
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.