Total 56,111 skills, AI & Machine Learning has 9345 skills
Showing 12 of 9345 skills
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.
Guide for creating custom Claude Code slash commands. Use when user wants to create a new command (or update an existing command) that provides a reusable prompt snippet, workflow, or automation. Triggers on requests to create /commands, slash commands, custom commands, or when user wants to define frequently-used prompts as reusable commands.
Specialized feature development agents. Use for deep codebase exploration and architecture design during feature development.
Invokes Google Gemini models for structured outputs, multi-modal tasks, and Google-specific features. Use when users request Gemini, structured JSON output, Google API integration, or cost-effective parallel processing.
Génère des images heroic fantasy pour BFRPG via fal.ai FLUX.1. Portraits de personnages/PNJ, scènes d'aventure, monstres, objets magiques et lieux. Utilise des prompts optimisés pour le style fantasy médiéval.
AI Native Camp Day 4 Wrap & Analyze. session-wrap 스킬을 직접 만들고, history-insight와 session-analyzer로 세션을 분석한다. "4일차", "Day 4", "wrap", "세션 분석", "session wrap", "세션 래핑" 요청에 사용.