GitHub
swarm-teammate
Auto-loads when CLAUDE_CODE_TEAM_NAME environment variable is set. Provides guidance for Claude Code teammates working in swarms - identity awareness, communication patterns, task management, and coordination p...
Skills IA tools llm ai
Découvrez les skills tools llm ai, comparez leurs dépôts et consultez leurs instructions.
Catégories: tools llm ai
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Explorer
GitHub
nlp-processing
Text processing, sentiment analysis, LLMs, and NLP frameworks. Use for text classification, named entity recognition, or language models.
GitHub
reinforcement-learning
Q-learning, DQN, PPO, A3C, policy gradient methods, multi-agent systems, and Gym environments. Use for training agents, game AI, robotics, or decision-making systems.
GitHub
computer-vision
Image processing, object detection, segmentation, and vision models. Use for image classification, object detection, or visual analysis tasks.
GitHub
model-optimization
Quantization, pruning, AutoML, hyperparameter tuning, and performance optimization. Use for improving model performance, reducing size, or automated ML.
GitHub
full-video-workflow-skill
Complete pre-production workflow that chains research, project creation, script generation, and presentation in one seamless flow. Use when starting a new video from competitor research all the way through to a...
GitHub
skill-builder
Create new Claude Code skills with proper SKILL.md format, frontmatter, and best practices. Use when building, scaffolding, or generating a new skill for Claude Code.
GitHub
llm-auto-update
LLM 모델 자동 업데이트 시스템 - 항상 최신 모델 정보 유지
GitHub
aictxt-manager
生成、维护、修剪AICTXT文档，保持在CRAFT大小限制内。当AICTXT创建和更新时使用。
GitHub
qdrant-rag-implementation
This skill provides guidance for implementing robust Qdrant vector database integration with RAG (Retrieval Augmented Generation) systems, including proper async client handling, error management, and performan...
GitHub
learning-capture
Extract and consolidate key learnings, insights, and actionable takeaways from the current conversation session. Use when the user wants to capture, summarize, or document what was learned during the chat, crea...
GitHub
devspeculate
Always use this skill to provide context on the codebase. Automatically initializes and references the Speculate documentation framework (coding rules, shortcuts, templates, and project specs) to ensure agents...
GitHub
ensue-memory
Augmented cognition layer that makes users smarter by connecting conversations to their persistent knowledge tree. Use proactively when topics arise that might have prior knowledge, and when users ask to rememb...
GitHub
telemetry-insights
Analyze AI coding session telemetry for usage patterns, token efficiency, and workflow optimization. Supports current session or historical time periods.
GitHub
summarize-session
Compact the conversation context by summarizing what was accomplished and updating CLAUDE.md with any learnings. Use when context is getting long or when transitioning between work sessions.
GitHub
azure-setup-guide
Research and generate Azure deployment guide with EasyAuth (Google + Facebook) and CosmosDB. This skill searches for current documentation and screenshots to produce an up-to-date setup guide at .docs/azure-set...
GitHub
feature-planning
Focused task planning for ONE specific idea. Uses narrow→broad pattern - starts at user's focus point, expands context only as needed. Creates detailed task via task-board skill.
GitHub
argentic-framework-development
Expert knowledge for building AI agents with Argentic - a Python microframework for async MQTT-based agents with multi-LLM support, custom tools, and multi-agent orchestration
GitHub
atomic-blocks
Composable atomic blocks for categorical meta-prompting. Defines 16 reusable blocks across 4 layers (Assessment, Transformation, Refinement, Composition) that can be composed to build custom workflows. Enables...
GitHub
meta-self
Master reference for categorical meta-prompting unified syntax. Contains all modifiers, operators, composition patterns, and execution protocols. Use this skill for self-reference when executing any prompt work...
GitHub
llm4s-scala
LLM4S Scala functional LLM interfaces with Effect system integration. Use when building LLM applications in Scala with ZIO or Cats Effect, implementing type-safe AI pipelines with functional error handling, cre...
GitHub
lmql-constraints
LMQL constraint-guided generation DSL for type-safe prompting with grammar constraints and logical conditions. Use when building structured LLM outputs with guaranteed format compliance, implementing constraine...
GitHub
categorical-meta-prompting
Full categorical framework for meta-prompting with verified laws. Use when implementing functor-based task routing, monadic iterative refinement, comonadic context extraction, or quality-tracked composition. In...
GitHub
recursive-meta-prompting
Recursive Meta-Prompting (RMP) implementation with unified categorical syntax. Supports @mode:iterative, @quality: thresholds, >=> Kleisli composition, and comonadic context extraction. Use when implementing it...
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.