prompt-engineering
Prompt Engineering avanzado 2025 - Context Engineering, DSPy, optimización de tokens y seguridad.
浏览 LeandroLarrosa 维护的已发布 AI 技能,比较用途与说明,并通过来源仓库了解安装方式。
已收录技能
39收录技能的仓库 Stars 合计
0仓库 Forks
0平均每个技能的仓库 Stars
0同一仓库中的多个技能可能共享 Stars,合计包含重复仓库数据。
Prompt Engineering avanzado 2025 - Context Engineering, DSPy, optimización de tokens y seguridad.
Advanced 2026 context curation patterns (Nvidia Eureka, Context Hygiene, RLMF) for autonomous agents.
Task delegation patterns for multi-agent systems - hierarchical, parallel, and reactive delegation.
Optimización evolutiva y paramétrica basada en Fibonacci y el Número Áureo (phi).
Genetic Algorithms for AI optimization - EvoPrompt, hyperparameter tuning, evolutionary strategies.
Lateralización de conocimiento Gentleman a otros proyectos - sync, propagación y evolución continua.
Complete Eureka V6.1 Context Engineering suite with observability, structured output, and hybrid memory
Heartbeat monitoring, auto-resurrection, and 24/7 uptime for critical processes.
Optimización de prompts mediante Primacy/Recency, higiene de contexto y compresión de tokens.
AI-powered analysis of public contracts and government spending using OCDS data.
AI-powered visual inspection and inventory management for industrial environments.
Digital fingerprint-based employee activity tracking and work sector logging.
SQLite-based metrics persistence for session observability and autonomous monitoring.
Scrapes product data from provider websites (CDR) and updates the market database.
Heartbeat monitoring, auto-resurrection, and 24/7 uptime for critical processes.
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。