Total 54,373 skills, AI & Machine Learning has 9047 skills
Showing 12 of 9047 skills
PUA Loop — Autonomous Iterative Development with PUA Pressure. Runs continuously until the task is completed, no user interaction required. Combines the Ralph Loop iteration mechanism with PUA quality enforcement. Triggered by: '/pua loop', '/pua:loop', 'automatic loop', 'loop mode', 'keep running', 'automatic iteration'.
Analyzes and generates llms.txt files -- the emerging standard for helping AI systems understand website structure and content. Can validate existing llms.txt files or generate new ones from scratch by crawling the site.
Paper Workflow: Read papers and create reading cards in one go. Accepts one or more arXiv links, paper URLs, PDFs, or paper titles. For each paper, it runs ljg-paper (generates org-format analysis) followed by ljg-card -l (generates long-form reading card PNG). Trigger this workflow when the user says '论文流', 'paper flow', '读论文并做卡片', '论文卡片', or provides multiple papers and requires both analysis and reading cards.
Reduce LLM API and infrastructure costs through model selection, prompt caching, batching, caching, quantization, and self-hosting strategies. Track spend by team and model, set budgets, and implement cost-aware routing.
One sentence — what this skill does and when Claude should use it.
Complex research requiring deeper analysis, multi-step reasoning, and sophisticated source evaluation for technical, academic, or specialized domain queries needing expert-level analysis, high-stakes decisions, or multi-layered problem solving.
Write and publish WeChat Official Account articles end-to-end with AI — trending topic mining, de-AI voice writing, beautiful theme formatting, cover image generation, and one-click draft box publishing. Integrates YouMind knowledge base for source material and supports multiple image AI providers (Nano Banana Pro, Gemini Imagen, GPT Image, Seedream). Use when user wants to "写公众号文章", "微信推文", "发布到草稿箱", "微信排版", "write WeChat article", "publish to WeChat drafts", "format for WeChat". Do NOT trigger for: generic blog posts, emails/newsletters, PPT, short video scripts, or non-WeChat SEO/content work.
Deploys ML and LLM models on TrueFoundry with GPU inference servers (vLLM, TGI, NVIDIA NIM). Uses YAML manifests with `tfy apply`. Use when serving language models, deploying Hugging Face models, or hosting GPU-accelerated inference endpoints.
GAN-inspired Generator-Evaluator agent harness for building high-quality applications autonomously. Based on Anthropic's March 2026 harness design paper.
Universal tool gateway via Composio — connect to 1000+ external apps (Gmail, Slack, GitHub, Google Calendar, Notion, etc.) through the Composio Gateway. Use when the user wants to interact with external SaaS services, send emails, manage calendars, access documents, or any third-party app integration.
Visual UI annotation tool for AI agents. Drop the React toolbar into any app — humans click elements and leave feedback, agents receive structured CSS selectors, bounding boxes, and React component trees to find exact code. Supports MCP watch-loop, platform-specific hooks (Claude Code / Codex / Gemini CLI / OpenCode), webhook delivery, and autonomous self-driving critique with agent-browser.
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).