Total 54,374 skills, AI & Machine Learning has 9048 skills
Showing 12 of 9048 skills
Langfinity platform help — real-time voice-to-voice AI meeting translation in 50+ languages with domain-specific terminology accuracy, AI voice avatars, multilingual meeting notes, Teams/Zoom/Google Meet integration, pay-as-you-go and subscription pricing. Use when setting up Langfinity for multilingual team meetings, AI voice translation sounds unnatural or robotic in Langfinity, Langfinity translation accuracy is poor for industry-specific terms, comparing Langfinity vs KUDO vs Interprefy vs JotMe vs Jamy for meeting translation, understanding Langfinity Starter vs Pro vs Business pricing, or Langfinity translation lagging or cutting out during calls. Do NOT use for choosing between all AI note-takers (use /sales-note-taker) or reviewing a call for coaching (use /sales-call-review).
Converts an arxiv paper into a minimal, citation-anchored Python implementation. Trigger when user runs /paper2code with an arxiv URL or paper ID, says "implement this paper", or pastes an arxiv link asking for implementation. Flags all ambiguities honestly. Never invents implementation details not stated in the paper.
PeachSolution 신규 모듈 전체 개발을 조율하는 팀 오케스트레이터 스킬. "팀으로 만들어줘", "풀스택 개발", "백엔드+UI 전체 생성" 키워드로 트리거. mode=backend(API+Store), mode=ui(UI만), mode=fullstack(전체) 지원.
Extract and document someone's authentic writing voice from samples. Use when someone needs a "voice guide," wants to capture their writing DNA, or needs to train AI to write in their style. Also useful for ghostwriting, brand voice documentation, or onboarding writers.
Use when the workflow is too slow, too expensive, or both and needs latency, cost, or token usage optimization.
Analyzes Copilot Studio evaluation CSV results using Microsoft's Triage & Improvement Playbook. Returns a SHIP / ITERATE / BLOCK verdict with root cause classification, diagnostic triage, prioritized remediation, and pattern analysis.
Track LLM API costs in real-time across multiple providers. Monitor token usage, spending limits, budget alerts, and cost attribution per job or task.
Generate images, videos, and audio/music via Lovart AI. Also manages Lovart projects, threads (conversation history), and user settings. Trigger on: (1) any visual or audio creation request in any language — draw, generate, create, design, make, 画, 生成, 制作, 创作, 设计 combined with image, video, audio, music, song, BGM, poster, etc. (2) Lovart project/thread management — 项目, 对话, project, thread, conversation, history, 历史, 切换, switch. You CAN generate directly - never say you cannot.
Persistent, budgeted, DAG-ordered runner for parallel `claude -p` or `codex exec` workers in tmux. Use ONLY when you need persistence across sessions, per-worker budget caps, dependency ordering, or mixed models/providers per worker. For ad-hoc parallel sub-agents inside a live conversation, use Claude Code's built-in Agent tool instead.
Get a second opinion from leading AI models on code, architecture, strategy, prompting, or anything. Queries models via OpenRouter, Gemini, or OpenAI APIs. Supports single opinion, multi-model consensus, and devil's advocate patterns. Trigger with 'brains trust', 'second opinion', 'ask gemini', 'ask gpt', 'peer review', 'consult', 'challenge this', or 'devil's advocate'.
Unified media generation via fal.ai MCP — image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.
Analyze images — segment objects, detect, run OCR, describe, and answer visual questions via fal.ai vision models.