Total 30,734 skills, AI & Machine Learning has 4960 skills
Showing 12 of 4960 skills
Professional Skill Creation Assistant that helps users create high-quality Claude Code Skills from scratch. It supports multiple template types, step-by-step guidance, and complete document generation, serving as a one-stop solution for building custom skills.
Automatically activates before chapter writing, enforces a 9-item mandatory file checklist - Prevents AI focus degradation in long novels by ensuring all context is loaded before each writing session
Scaffolds per-project agent context — creates a tailored AGENTS.md, a CLAUDE.md symlink, and an agent_docs/ directory so AI agents can work effectively in the repository.
Capture Fusion skill workflow failure context and guide a draft-first bug reporting flow with explicit confirmation before any GitHub mutation.
Typed knowledge graph for structured agent memory and composable skills. Use when creating/querying entities (Person, Project, Task, Event, Document), linking related objects, enforcing constraints, planning multi-step actions as graph transformations, or when skills need to share state. Trigger on "remember", "what do I know about", "link X to Y", "show dependencies", entity CRUD, or cross-skill data access.
This skill should be used when the user provides a strategy, plan, or decision document and wants to surface hidden assumptions and blind spots using the Known/Unknown 4-quadrant framework. Trigger on "known unknown", "4분면 분석", "blind spots", "뭘 놓치고 있지", "뭘 모르는지 모르겠어", "전략 점검", "전략 분석", "assumption check", "가정 점검", "quadrant analysis", "what am I missing". Strategy-level blind spot analysis with hypothesis-driven questioning. For requirement clarification use vague; for content-vs-form reframing use metamedium.
Connect to a running ComfyUI instance, queue workflows, monitor execution, and retrieve results. Supports both online (REST API) and offline (JSON export) modes. Use when executing ComfyUI workflows or checking server status.
Make generated speech feel companion-like with fillers, emotional tuning, and preset speaking styles.
Lab environment for Claude superpowers
Opinionated, evolving constraints to guide agents when building interfaces
Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use when implementing knowledge-grounded AI, building document Q&A systems, or integrating LLMs with external knowledge bases.
Audit and improve CLAUDE.md files in repositories. Use when user asks to check, audit, update, improve, or fix CLAUDE.md files. Scans for all CLAUDE.md files, evaluates quality against templates, outputs quality report, then makes targeted updates. Also use when the user mentions "CLAUDE.md maintenance" or "project memory optimization".