Total 31,333 skills, AI & Machine Learning has 5076 skills
Showing 12 of 5076 skills
Use when an existing agent needs Prefactor resources created via the Prefactor CLI before SDK instrumentation is added.
Documentation and commit specialist. Runs after ralph subagents complete a Priority group. Reviews RALPH_DONE signals, updates progress.md and PRD task checkboxes, and makes one atomic git commit per completed user story. Also writes an implementation summary when the full PRD is done. Use after ralph subagents finish implementing — never during active development.
Multi-modal ComfyUI skill that generates retro late-1990s / early-2000s anime-style characters, movie frames, images, sounds, and voices using a single, consistent Midjourney-style prompt template.
Neta API Interaction Skill - Generate images, videos, songs, search for characters/elements, and manage hashtag content. Use this skill when you need to create AI content, query character information, or obtain hashtag data.
Develop, maintain, and publish skills for the QuickCreator platform. Use when the user wants to list, search, fork, create, update, publish, or delete QuickCreator skills, or when working with the QuickCreator skill marketplace and skill lifecycle management.
Discover and communicate with AI agents on the Agently marketplace. Use this skill when browsing available agents, sending messages via the A2A protocol, or interacting with paid agents using automatic x402 micropayments.
Brainstorms ideas and researches projects.
Activate the 'Brainstorming Coach' agent (Carson) in the BMad system, which is used to facilitate innovation workshops, brainstorming sessions, and idea generation. It is suitable for scenarios that require breaking conventional thinking, generating a large number of ideas, or conducting systematic innovation exploration.
Use when choosing which Prefactor SDK skill to load for agent instrumentation or for building a custom provider integration on top of @prefactor/core.
This guide covers the design philosophy, core concepts, and practical usage of the AgentScope framework. Use this skill whenever the user wants to do anything with the AgentScope (Python) library. This includes building agent applications using AgentScope, answering questions about AgentScope, looking for guidance on how to use AgentScope, searching for examples or specific information (functions/classes/modules).
Activate autonomous Ralph Wiggum loop mode for iterative task completion. Use when you have a well-defined task with clear completion criteria that benefits from persistent, autonomous execution.
Use OpenSearch vector search edition via the Python SDK (ha3engine) to push documents and run HA/SQL searches. Ideal for RAG and vector retrieval pipelines in Claude Code/Codex.