Total 56,068 skills, AI & Machine Learning has 9341 skills
Showing 12 of 9341 skills
최신 AI 키워드/도구/방법론을 빠르게 탐색하는 모드. 깊은 검증보다 개념 지도와 연결성 제공에 최적화.
Comprehensive framework for evaluating AI vendors and solutions to avoid costly mistakes. Use this skill when assessing AI vendor proposals, conducting due diligence, evaluating contracts, comparing vendors, or making build-vs-buy decisions. Helps identify red flags, assess pricing models, evaluate technical capabilities, and conduct structured vendor comparisons.
This skill analyzes or creates course descriptions for intelligent textbooks by checking for completeness of required elements (title, audience, prerequisites, topics, Bloom's Taxonomy outcomes) and providing quality scores with improvement suggestions. Use this skill when working with course descriptions in /docs/course-description.md that need validation or creation for learning graph generation.
Use when asked to "create a skill", "generate a SKILL.md", "make me a skill", "build a custom skill", or when user wants to extend Claude Code capabilities with a new skill
Autonomous p5.js visualization agent. It implements, inspects, critiques design/UX, fixes, and launches the result.
Create new skills for the bench-skills repo following all conventions. Use when the user says "create a new skill", "add a skill", "new slash command", or wants to extend bench-skills with additional capabilities.
Collaborative multi-agent planning with iterative deliberation. Use when creating complex plans that benefit from multiple specialist perspectives, cross-review, and consensus-building through discussion rounds.
Load PROACTIVELY when task involves building a complete feature across multiple layers. Use when user says "build a feature", "add user profiles", "create a dashboard", or any request spanning database, API, UI, and tests. Orchestrates multi-agent work sequentially: schema and migrations, API endpoints, UI components, tests, and review. Handles dependency ordering and cross-layer type sharing.
Writes effective pi skills with proper structure, concise content, and progressive disclosure. Use when creating new skills, improving existing skills, or reviewing skill quality.
Process images using object detection, classification, and segmentation. Use when requesting "analyze image", "object detection", "image classification", or "computer vision". Trigger with relevant phrases based on skill purpose.
Rates responses and plans against quality rubrics. Used for plan validation, response quality audits, and multi-agent consensus.
Azure Ml Deployer - Auto-activating skill for ML Deployment. Triggers on: azure ml deployer, azure ml deployer Part of the ML Deployment skill category.