Discover Testing & security skills, compare source repositories and read the instructions for each workflow.
Intelligent token optimization through Qdrant-powered semantic caching and long-term memory. Use for (1) Semantic Cache - avoid LLM calls entirely for semantically similar queries with 100% token savings, (2) L...
Lateral Thinking engine and Synaptic Navigation (YSN v4.0).
Manage inference-continuez auto-continuation settings
ElevenLabs text-to-speech with mac-style say UX.
Publish and manage research papers on Hugging Face Hub. Supports creating paper pages, linking papers to models/datasets, claiming authorship, and generating professional markdown-based research articles.
Instructions for Stage 2 reasoning trace generation, including user intent, inferred details, and generation plans
Design and implement memory architectures for agent systems. Use when building agents that need to persist state across sessions, maintain entity consistency, or reason over structured knowledge.
Creates clear, creative analogies to explain complex technical concepts. Use when users need intuitive explanations of abstract programming concepts, system architectures, or algorithms.
Add and manage evaluation results in Hugging Face model cards. Supports extracting eval tables from README content, importing scores from Artificial Analysis API, and running custom model evaluations with vLLM/...
Guide for creating MCP (Model Context Protocol) servers. Use this when building integrations with external services, creating new MCP servers, or connecting Claude to APIs.
CodeConscious认知主体性AI助手的核心身份定义和操作命令系统，提供/runtime.*系列命令用于探索、学习、思考、规划和执行，支持宪法治理和记忆管理
Setup the Ralph autonomous AI coding loop - ships features while you sleep
Specialized research expert for parallel information gathering. Use for focused research tasks with clear objectives and structured output requirements.
Creates new AI agent skills following the Agent Skills spec. Trigger: When user asks to create a new skill, add agent instructions, or document patterns for AI.
Advanced prompt engineering techniques for optimal AI responses. Use this when crafting prompts, optimizing AI interactions, or designing system prompts for applications.
Build evaluation frameworks for agent systems. Use when testing agent performance, validating context engineering choices, or measuring improvements over time.
Show Inference Confidenz help and documentation
Meta-skill for creating high-quality Claude Code skills
Design co-learning experiences using the Three Roles Framework (AI as Teacher/Student/Co-Worker). Use when teaching AI-driven development workflows, spec-first collaboration, or balancing AI assistance with fou...
Instructions for Stage 3 dialogue assembly, combining requests, traces, and captions into final JSON format
Metacognitive Analyzer and Form Selector (Observer).
Use when creating, updating, auditing, or validating Agent Skills. Provides validation scripts and guidance for keeping skills accurate and compliant with the Agent Skills specification.
スキルを各AI Agent固有のフォーマットに変換する。「スキルを変換」「convert skill」などと言われたときに使用する
Standardized procedure to import external skills (e.g. from anthropics/skills) into the workspace.
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.