GitHub
prompt-engineering
Prompt Engineering avanzado 2025 - Context Engineering, DSPy, optimización de tokens y seguridad.
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LeandroLarrosa AI Skills
GitHub ↗Browse published AI skills maintained by LeandroLarrosa. Compare skill descriptions and follow each source repository for setup instructions.
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39Repository stars across indexed skills
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0Average repository stars per indexed skill
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GitHub
context-engineering
Advanced 2026 context curation patterns (Nvidia Eureka, Context Hygiene, RLMF) for autonomous agents.
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GitHub
task-delegation
Task delegation patterns for multi-agent systems - hierarchical, parallel, and reactive delegation.
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GitHub
fibonacci-optimization
Optimización evolutiva y paramétrica basada en Fibonacci y el Número Áureo (phi).
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GitHub
genetic-algorithms
Genetic Algorithms for AI optimization - EvoPrompt, hyperparameter tuning, evolutionary strategies.
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GitHub
lateralize-projects
Lateralización de conocimiento Gentleman a otros proyectos - sync, propagación y evolución continua.
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GitHub
eureka-context-engineering-v61
Complete Eureka V6.1 Context Engineering suite with observability, structured output, and hybrid memory
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GitHub
autonomous-resilience-watchdog
Heartbeat monitoring, auto-resurrection, and 24/7 uptime for critical processes.
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GitHub
context-engineering-2026
Optimización de prompts mediante Primacy/Recency, higiene de contexto y compresión de tokens.
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GitHub
govtech-nexus-auditor
AI-powered analysis of public contracts and government spending using OCDS data.
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GitHub
industrial-vision-v3
AI-powered visual inspection and inventory management for industrial environments.
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GitHub
biometric-activity-logging
Digital fingerprint-based employee activity tracking and work sector logging.
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GitHub
sovereign-sql-metrics
SQLite-based metrics persistence for session observability and autonomous monitoring.
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GitHub
market-miner
Scrapes product data from provider websites (CDR) and updates the market database.
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GitHub
autonomous-resilience-watchdog
Heartbeat monitoring, auto-resurrection, and 24/7 uptime for critical processes.
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The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.