Total 55,935 skills, AI & Machine Learning has 9310 skills
Showing 12 of 9310 skills
Claude Code: skills, agents, hooks, commands, MCP servers, IDE integrations.
Pack entire codebases into AI-friendly files for LLM analysis. Use when consolidating code for AI review, generating codebase summaries, or preparing context for ChatGPT, Claude, or other AI tools.
Extract transcripts from YouTube videos and generate comprehensive, detailed summaries using intelligent analysis frameworks
Inject relevant knowledge into session context from .agents/ artifacts. Triggers: "inject knowledge", "recall context", SessionStart hook.
Master context engineering for AI agent systems. Use when designing agent architectures, debugging context failures, optimizing token usage, implementing memory systems, building multi-agent coordination, evaluating agent performance, or developing LLM-powered pipelines. Covers context fundamentals, degradation patterns, optimization techniques (compaction, masking, caching), compression strategies, memory architectures, multi-agent patterns, LLM-as-Judge evaluation, tool design, and project development.
Expert in designing, orchestrating, and managing multi-agent systems (MAS). Specializes in agent collaboration patterns, hierarchical structures, and swarm intelligence. Use when building agent teams, designing agent communication, or orchestrating autonomous workflows.
Orchestrator for WebView UI mockup workflow - delegates design iteration to ui-design-agent and implementation scaffolding to ui-finalization-agent. Use when user mentions UI design, mockup, WebView interface, or requests 'design UI for [plugin]'.
Image Assistant - Convert article/module content into 16:9 infographic prompts with a unified style, minimal text, and high readability; first determine "how many images are needed + what each image covers", then condense copy and metaphors, and finally output directly copyable image generation prompts and iterate.
Gather phase context through adaptive questioning before planning, clarifying implementation decisions, or exploring gray areas for a phase. Triggers include "discuss phase", "clarify phase", "gather context", "what are the gray areas", and "phase discussion".
Systematically debug issues, investigating bugs, troubleshooting problems, or tracking down errors with persistent state across context resets. Triggers include "debug", "investigate bug", "troubleshoot", "find the problem", "why isn't this working", and "debug session".
Provides guidance for creating effective Claude Code skills with proper YAML frontmatter, directory structure, and best practices. Activates when the user mentions "create skill", "new skill", "スキル作成", "SKILL.md", "skill development".
POC validation patterns to catch issues before committing to long-running ML experiments. TRIGGERS - fail-fast, POC validation, preflight check, experiment validation, schema validation, gradient check, sanity check, smoke test.