Total 50,611 skills, AI & Machine Learning has 8484 skills
Showing 12 of 8484 skills
Guide a CS or AI PhD student through a focused literature review sprint that produces a ranked paper map, notes, gaps, and next actions. Use this skill whenever the user needs to survey a topic, prepare related work, check whether an idea is novel, catch up on a field, read papers before a meeting, or turn a pile of papers into an organized research direction.
Image Generation Skill: Use this skill when users need to generate images, visual infographics, create graphics, or edit/modify/adjust existing images. Based on the official formal version of the ChatGPT Image 2 model (gpt-image-2) from Apiyi Platform (https://api.apiyi.com/). This model supports precise size/quality control (including 4K) and is billed by token. Key differences from gpt-image-2-all (official reverse version): Uses /v1/images/generations and /v1/images/edits endpoints; Has explicit size parameter; Has quality parameter; Billed by token; Uses multipart/form-data to upload reference images; b64_json is pure base64 without prefix.
Maintain a reviewable LLM Wiki from immutable raw notes, including ingest planning, querying, linting, and guarded raw Graphify maps that help agents generate better wiki pages.
Use this skill to turn a raw user request into a structured, model-agnostic task brief before execution, and — when the brief survives confirmation — to be the sole entry point that creates a task directory at `.agents/tasks/<task-id>/`. Invoke whenever the request is complex, multi-step, cross-domain, ambiguous, or will be handed off to another model or agent. Also trigger when the user says things like 'help me figure out what I need', 'I'm not sure how to ask this', 'I want to do X but I don't know where to start', 'take this and make it clearer', or when the task mixes multiple goals or domains. Do NOT trigger for simple one-line requests with clear intent (e.g., 'fix the typo on line 42', 'rename this variable').
Evaluate solutions through multi-round debate between independent judges until consensus
Install, configure, and start FireRed-OpenStoryline from source on a local machine. Use when a user asks to set up OpenStoryline, troubleshoot installation, download required resources, fill config.toml API keys, or launch the MCP and web services, as well as Chinese requests like “安装 OpenStoryline”, “配置 OpenStoryline”, “启动 OpenStoryline”, “把 OpenStoryline 跑起来”, “修复 OpenStoryline 安装问题”, or “排查 OpenStoryline 启动失败”.
MiMo V2.5 TTS Text-to-Speech. Generate speech using Xiaomi MiMo V2.5 TTS series models. This skill is activated when text needs to be converted to speech, voice messages need to be sent, content needs to be read aloud, or when users request 'speak it out' or 'voice reply'. It supports three modes: preset voice, voice design, and voice cloning, as well as natural language control and director mode. It also supports style tag control for tone, emotion, and dialect, and preset voices support singing.
Create new skills, modify and improve existing skills. Use when users want to create a skill from scratch, edit or optimize an existing skill, turn a workflow into a reusable skill, or improve a skill's description for better triggering.
Execute complex tasks through sequential sub-agent orchestration with intelligent model selection, meta-judge → LLM-as-a-judge verification
Comprehensive guide for creating Claude Code agents with proper structure, triggering conditions, system prompts, and validation - combines official Anthropic best practices with proven patterns
Create a workflow command that orchestrates multi-step execution through sub-agents with file-based task prompts
Generate ideas in one shot using creative sampling