Python Multi-Objective Simulation Optimization: a package for using, implementing, and testing simulation optimization algorithms.
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Updated
Mar 10, 2019 - Python
Python Multi-Objective Simulation Optimization: a package for using, implementing, and testing simulation optimization algorithms.
Evidence-first project diagnosis for Codex and Claude Code: find the primary contradiction, act, and validate.
Strategic thinking as installable infrastructure — 21 skills, 13 seed patterns, 5-phase pipeline. Give your AI agent the discipline to explore, decide, execute, and learn.
Agent Skill for reviewing recent agent work and turning lessons into actionable improvement artifacts.
Aplicacion desarrollada con python que permite gestionar (hacer backup y restore) a nuestras bases de datos.
Prompt style library with honesty guardrails.
Agent Skill for designing visually engaging agile/scrum retrospective boards (Draw.io, Mermaid, PNG/SVG, Microsoft Whiteboard) and turning completed retros into summaries, action items, and Jira/Confluence-ready output.
Entropy, compression, and information-theoretic rune tools.
Strategic thinking as installable infrastructure — 21 skills, 13 seed patterns, 5-phase pipeline (Explore→Decide→Execute→Track→Learn). Give your AI agent the discipline to think before it builds.
Path-integral Monte Carlo samples with convergence traces.
Educational Transformer attention implementation.
Feynman-style numerical computing lessons with runnable examples.
LLM-driven session retrospection skill: detects friction in agent sessions and materializes learnings into correct destinations (user-memory, project-rules, skill PRs, checkpoints, harness artefacts)
Self-healing service skeleton with circuit breaker metrics.
Evolutionary strategy and particle swarm optimizer demos.
Matrix quantum circuit simulator with ASCII circuits.
Real-time collaborative retrospective board for agile teams. Features drag-and-drop cards, live voting, card grouping, discussion timer, and export to PDF/CSV/JSON. Built with FastAPI, React, TypeScript, and WebSockets.
Deep learning-era rune rubbing classifier experiments.
Sprint retro for your Claude Code sessions. See what worked, what didn't, and what to change.
Modernization helpers and then-vs-now migration notes.
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