Total 50,657 skills, AI & Machine Learning has 8491 skills
Showing 12 of 8491 skills
Ultra-lightweight AI assistant in Go that runs on $10 hardware with <10MB RAM, supporting multiple LLM providers, tools, and single-binary deployment across RISC-V, ARM, MIPS, and x86.
LLM-powered A/H/US stock intelligent analysis system with multi-source data, real-time news, AI decision dashboards, and multi-channel push notifications via GitHub Actions.
improve a CLAUDE.md file using <important if> blocks to improve instruction adherence
Comprehensive skill for project planning and prompt engineering. Covers hierarchical plans (briefs, roadmaps, phases), Claude-to-Claude meta-prompts, and multi-stage workflows. Use when: planning, prompt creation, agentic pipeline work, project roadmap, meta-prompts, research to implement workflow.
Natural language → SQL → execute read queries against the database. Auto-detects local connection, discovers project connectors for remote environments and domain knowledge. TRIGGER when: user asks a data question in natural language (count, list, show, verify, check, how many, cuantos, traeme, muéstrame), mentions database tables, or asks about data in any environment (production, staging, dev, local). DO NOT TRIGGER when: user provides raw SQL ready to execute.
AI-powered analysis of Trump's social media posts to predict stock market movements using 31.5M brute-force tested rules
Use when work should be delegated to Claude Code CLI, especially headless `claude -p` runs, automation scripts, CI jobs, resumable sessions, or requests to use Claude/Claude Code for a task.
Deploy and run ML experiments on local or remote GPU servers. Use when user says "run experiment", "deploy to server", "跑实验", or needs to launch training jobs.
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".
Verify research idea novelty against recent literature. Use when user says "查新", "novelty check", "有没有人做过", "check novelty", or wants to verify a research idea is novel before implementing.
Generate diagrams from natural language using EdrawMax AI APIs. Supports four diagram types: flowchart (流程图), infographic (信息图), Gantt chart (甘特图), and mind map (思维导图). Use when the user wants to create, generate, or draw any of these diagram types. Triggers on: 'generate a flowchart,' 'create a mind map,' 'draw a Gantt chart,' 'make an infographic,' 'visualize a process,' 'project timeline,' 'knowledge map,' or any request to turn a description into a diagram.
Skill for using Fabro, the open source AI coding workflow orchestrator that lets you define agent pipelines as Graphviz DOT graphs with human gates, multi-model routing, and cloud sandboxes.