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docx
Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. When Claude needs to work with professional documents (.docx file...
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testing security llm ai AI Skills
Discover testing security llm ai skills, compare source repositories and read the instructions for each workflow.
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toon
Token-Oriented Object Notation (TOON) format for LLM-optimized data encoding. Converts JSON to compact, human-readable format that minimizes tokens (~40% reduction) while improving LLM comprehension accuracy.
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prompt-compressor
Compress verbose prompts & context before LLM processing. This skill should be used when input exceeds 1500 tokens, contains redundant phrasing, or includes unnecessary context. Reduces tokens by 40-60%.
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skill-creator
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or to...
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token-formatter
Convert verbose docs/markdown/text into token-efficient formats. Use when user wants to reduce token count, compress content for LLM context, or optimize for AI consumption.
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thinking-framework
Use this when complex problem-solving, root cause analysis, strategic decision-making, or systematic thinking is needed. Applies 15 thinking methods with multi-agent orchestration and Clear-Thought MCP integrat...
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skill-auto-activator
Keyword-based automatic skill detection and activation system for Claude conversations
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sentry-setup-ai-monitoring
Setup Sentry AI Agent Monitoring in any project. Use this when asked to add AI monitoring, track LLM calls, monitor AI agents, or instrument OpenAI/Anthropic/Vercel AI/LangChain/Google GenAI. Automatically dete...
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code-reviewer
Use when explicitly asked to run the code-reviewer subagent or when another skill requires the code-reviewer agent card.
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memory-integration
Use to maintain context across sessions - integrates episodic-memory for conversation recall and mcp__memory knowledge graph for persistent facts
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GitHub
security-reviewer
Use when explicitly asked to run the security-reviewer subagent or when another skill requires the security-reviewer agent card.
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agent-development
Use when the user wants to design Codex agent equivalents (specialized workers/profiles/prompt files), define triggering conditions, or build reusable agent prompts and validation tools.
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droid-mode
Progressive Code-Mode MCP integration for Factory Droid. Discover tools incrementally, hydrate schemas on demand, and run procedural workflows that call MCP tools outside the LLM loop.
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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...
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nlp-processing
Text processing, sentiment analysis, LLMs, and NLP frameworks. Use for text classification, named entity recognition, or language models.
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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.
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computer-vision
Image processing, object detection, segmentation, and vision models. Use for image classification, object detection, or visual analysis tasks.
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model-optimization
Quantization, pruning, AutoML, hyperparameter tuning, and performance optimization. Use for improving model performance, reducing size, or automated ML.
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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...
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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.
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GitHub
llm-auto-update
LLM 모델 자동 업데이트 시스템 - 항상 최신 모델 정보 유지
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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。
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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...
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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...
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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.