Découvrez les skills devops llm ai, comparez leurs dépôts et consultez leurs instructions.
Create personalized, adaptive learning pathways with branching logic, prerequisite tracking, competency-based progression, and mastery-based advancement. Use when designing adaptive curricula or personalized le...
Automates creation of interactive language learning games including vocabulary flashcards, song-based games, and multi-level learning systems. Generates complete projects with HTML/JS code, data generation pipe...
game-designer for engaging, immersive learning experiences.
Create detailed lesson plans, instructional materials, learning activities, and differentiation strategies aligned to learning objectives. Use when developing instructional content, writing lesson plans, or cre...
experience-designer for engaging, immersive learning experiences.
Create interactive learning games for business English practice. Supports multiple game types (quiz, simulation, drag-drop) across various business scenarios (emails, meetings, presentations, negotiations). Gen...
simulation-designer for engaging, immersive learning experiences.
Create user-centric product definitions by analyzing the repository, inferring product goals and user needs, clarifying ambiguities through structured questioning, and generating comprehensive product.md docume...
Expert in Apache Ray distributed computing. Use when converting Python code to Ray workloads, debugging Ray applications, optimizing Ray performance, or working with Ray Core, Ray Data, Ray Train, Ray Serve, or...
Optimize RAG performance with reranking, caching, parallel processing, and production deployment patterns. Use when improving retrieval quality, adding rerankers, deploying to production, implementing caching s...
Automatically applies when choosing LLM models and providers. Ensures proper model comparison, provider selection, cost optimization, fallback patterns, and multi-model strategies.
Automatically applies when evaluating LLM performance. Ensures proper eval datasets, metrics computation, A/B testing, LLM-as-judge patterns, and experiment tracking.
Develop consistent brand voice and messaging guidelines for companies and personal brands. Creates tone, style, and communication frameworks that align with brand values and target audience preferences.
mentoring-system for enhanced learning effectiveness and personal development.
tech-selection for learning technology evaluation and implementation.
This skill enables honest, pressure-tested feedback on ideas, decisions, and proposals. Use this skill when prompted for an opinion on whether something is a good idea, should be done, or what to think about an...
Automatically applies when securing AI/LLM applications. Ensures prompt injection detection, PII redaction for AI contexts, output filtering, content moderation, and secure prompt handling.
Create searchable knowledge base from existing documentation and code for fast context lookup in brownfield projects. Indexes .md files with sections/keywords, maps code exports to documentation, generates sear...
Guide users through creating Agent Skills for Claude Code. Use when the user wants to create, write, author, or design a new Skill, or needs help with SKILL.md files, frontmatter, or skill structure.
Episodic Memory Archiver. Stores full conversation transcripts with embeddings and analysis into ArangoDB. Use this to save the "User Story" or "Chain of Thought".
This skill should be used when the user asks to "generate interview questions", "prepare for interview", "optimize resume", "conduct mock interview", "analyze git commits for resume", "generate resume from code...
Summarizes technical/AI/data content from URLs, YouTube videos, or how-to guides into actionable step-by-step learning instructions. Use when given a video, article, or tutorial URL to convert into a learnable...
Provides best practices for writing Agent Skills. Use when creating or refining SKILL.md content.
Verifies relationships between a source text (e.g. Episode, Task) and existing Knowledge Graph lessons. Runs KNN/Hybrid search to find candidates, then uses LLM (scillm) to verify "verifies", "contradicts", or...
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.