Total 56,846 skills, AI & Machine Learning has 9448 skills
Showing 12 of 9448 skills
explore — Deep codebase exploration with parallel agents. Use when exploring a repo or discovering architecture.
Self-contained parallel generator — invoke directly, do not decompose. Generates 3-10 app variations in parallel for comparing ideas. Use when user says "explore options", "give me variations", "riff on this", "brainstorm approaches", or wants to see multiple interpretations of a concept.
Create learning materials, explain concepts, generate quizzes and study aids. Use when asked to explain topics, create tutorials, generate practice questions, make flashcards, design curricula, or help study. Triggers include "explain this", "help me learn", "create a quiz", "tutorial for", "study guide", "how does X work", "teach me", "practice questions".
Expert guidance for building the Arcanea creative agent ecosystem with attention to detail, design excellence, and systematic implementation.
Use when improving general prompts for structure, examples, and constraints.
Rigorously collects and validates all fields needed to produce a complete, unambiguous prompt template for features and bug fixes. The skill asks targeted questions until the template is fully filled, consistent, and ready to paste into a Codex/GPT-5.2 coding session.
Structured AI debate templates and synthesis. Use when orchestrating multi-round debates between AI tools, 'debate topic', 'argue about', 'stress test idea', 'devil advocate'.
MixSeek Agent Skills collection for AI coding assistants. Provides workspace management, team configuration, evaluation setup, and debugging tools for MixSeek-Core.
Upscale images using each::sense AI. Enhance resolution for web, print, large format displays, with options for face enhancement, noise reduction, and AI art optimization.
通过 MiniMax MCP 进行网络搜索，适用于 OpenClaw 平台。如果你是 Claude Code 用户，请忽略此技能。
電影感 AI 繪圖提示詞生成器。根據使用者的場景描述，自動選配攝影機模組、光影預設， 產出 Midjourney 與 Gemini 3 Pro 雙平台格式的 cinematic prompt。
Systematic clinical variant interpretation from raw variant calls to ACMG-classified recommendations with structural impact analysis. Aggregates evidence from ClinVar, gnomAD, CIViC, UniProt, and PDB across ACMG criteria. Produces pathogenicity scores (0-100), clinical recommendations, and treatment implications. Use when interpreting genetic variants, classifying variants of uncertain significance (VUS), performing ACMG variant classification, or translating variant calls to clinical actionability.