Total 56,911 skills, AI & Machine Learning has 9465 skills
Showing 12 of 9465 skills
Get a deep critical review of research from GPT via Codex MCP. Use when user says "review my research", "help me review", "get external review", or wants critical feedback on research ideas, papers, or experimental results.
Autonomous multi-round research review loop using MiniMax API. Use when you want to use MiniMax instead of Codex MCP for external review. Trigger with "auto review loop minimax" or "minimax review".
Multimodal UI understanding and single-step planning via OpenAI-compatible Responses APIs. Use when you need AIQuery/AIAssert and plan-next to extract UI element coordinates, validate UI assertions, summarize screenshots, or decide the next UI action from an image. External agents handle execution via adb/hdc and multi-step loops. Defaults to Doubao models but can be pointed at other multimodal providers via base URL, API key, and model name.
Orchestrate teams of parallel Claude Code sessions working on the same codebase. Handles task decomposition, agent coordination, context isolation, and merge strategies. Builds on worktree-manager for infrastructure.
Expert prompt engineering for Google Veo 3.2 (Artemis engine). Use when the user wants to generate a video with Veo 3.2, needs help crafting cinematic prompts, or mentions Veo, Google video generation, or Artemis engine.
Neta API space and world‑view browsing skill — browse worldbuilding, sub‑spaces, and playable content by space/hashtag. Use this skill when the user talks about worlds/spaces/universes/scenes, or wants to browse characters and gameplay based on space and activity structure. Do not use it for concrete media creation (handled by neta-creative).
Explains concepts using Socratic-style dialogue. Use when the user asks to explain, teach or help understand a concept like socrates.
Use this skill when designing engagement surveys, running pulse checks, building retention strategies, or improving culture. Triggers on employee engagement, surveys, pulse checks, retention strategies, culture building, eNPS, team health, and any task requiring engagement measurement or improvement programs.
Run 397B parameter Mixture-of-Experts LLMs on a MacBook using pure C/Metal with SSD streaming
NotebookLM CLI wrapper via `python3 {baseDir}/scripts/notebooklm.py` (backed by notebooklm-py). Use for auth, notebooks, chat, sources, notes, sharing, research, and artifact generation/download.
This skill should be used when the user needs to customize a resume for a specific job posting while maintaining truthfulness. Use when adapting an existing resume to match a job description, repositioning experience for a new role, or aligning resume language with target role keywords and requirements.
Set up AgentCash for your AI agent — wallet, core skill, and optional invite credits