GitHub
exploration-strategies
Master ε-greedy, UCB, curiosity-driven, RND, intrinsic motivation exploration
Skills IA Contenu et médias
Découvrez les skills Contenu et médias, comparez leurs dépôts et consultez leurs instructions.
Catégories: Contenu et médias
Contenu et médias Effacer les filtres
Explorer
GitHub
identifying-technical-debt
Use when cataloging technical debt under time pressure and tempted to explain choices instead of delivering document - enforces execution discipline with scoped delivery patterns for partial catalogs
GitHub
rl-debugging
Systematic RL debugging - diagnose learning failures, common bugs, diagnosis trees
GitHub
offline-rl
Master CQL, IQL, BCQ - offline RL from fixed datasets without environment interaction
GitHub
value-based-methods
Master DQN, Double DQN, Dueling DQN, Rainbow - value-based methods for discrete actions
GitHub
policy-gradient-methods
Master REINFORCE, PPO, TRPO - direct policy optimization with trust regions
GitHub
model-based-rl
Master Dyna-Q, MBPO, Dreamer - model-based RL with world models and planning
GitHub
validating-architecture-analysis
Validate architecture artifacts against contracts and consistency requirements - codifies systematic validation practices with professional reporting
GitHub
generating-architecture-diagrams
Generate C4 architecture diagrams from subsystem catalogs - codifies abstraction strategies, notation conventions, and selection criteria
GitHub
using-system-archaeologist
Use when analyzing existing codebases to generate architecture documentation - coordinates subagent-driven exploration with mandatory workspace structure, validation gates, and pressure-resistant workflows
GitHub
rl-environments
Gym/gymnasium API - custom environments, spaces, wrappers, vectorization, debugging
GitHub
actor-critic-methods
Master A2C, A3C, SAC, TD3 - actor-critic methods for continuous control
GitHub
using-deep-rl
Routes to appropriate deep-RL skills based on problem type and algorithm family
GitHub
assessing-architecture-quality
Use when assessing codebase architecture and you feel pressure to soften critique, lead with strengths, or frame problems diplomatically - provides evidence-based critical assessment resisting relationship and...
GitHub
multi-agent-rl
Master QMIX, MADDPG, CTDE - multi-agent learning with coordination and credit assignment
GitHub
analyzing-unknown-codebases
Analyze unfamiliar codebases systematically to produce subsystem catalog entries - emphasizes strict contract compliance and confidence marking
GitHub
rl-foundations
Master RL theory - MDPs, value functions, Bellman equations, value/policy iteration, TD
GitHub
using-system-architect
Use when you have architecture documentation from system-archaeologist and need critical assessment, refactoring recommendations, or improvement prioritization - routes to appropriate architect specialist skill...
GitHub
rl-evaluation
Rigorous RL evaluation - statistical protocols, train/test discipline, metrics, generalization
GitHub
documenting-system-architecture
Synthesize subsystem catalogs and architecture diagrams into comprehensive, navigable architecture reports - codifies synthesis strategies and professional documentation patterns
GitHub
writing
Create distinctive, production-grade blog posts. Use this skill when the user asks to build a new blog poast
GitHub
banana
Generate images using Google's Gemini image generation model with Deno. Use this skill when the user wants to create AI-generated images, perform image-to-image transformations, or generate visual content from...
GitHub
ghostmind-system
This skill should be used when working with the Ghostmind development system, which uses meta.json as a central configuration for Docker, Compose, Terraform, and Tmux. Use this skill when creating or modifying...
GitHub
self-extracting-script
Create self-extracting Bash scripts that embed any payload (archives, executables, configs) using base64 encoding. Use when creating portable single-file installers, deployment packages, or distributing files w...
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.