Total 53,816 skills, AI & Machine Learning has 8954 skills
Showing 12 of 8954 skills
Provides autonomous project pattern learning by analyzing the codebase to discover development conventions, architectural patterns, and coding standards, then generates project rule files in .claude/rules/. Use when user asks to "learn from project", "extract project rules", "analyze codebase conventions", "discover project patterns", or wants to auto-generate Claude Code rules for the current project.
JingSwap STX↔sBTC cycle monitor and participation agent. Reads live cycle state and prices directly from the Stacks contract via Hiro API and Pyth oracle — no API key required. Outputs PARTICIPATE / MONITOR / WAIT_FOR_DEPOSIT_PHASE / NO_SBTC_AVAILABLE with oracle-vs-DEX discount analysis.
Design and implement autonomous AI marketing agent systems using the PRAL, BDI, and OODA frameworks. Invoke when a client is ready to move beyond reactive GenAI prompting to proactive, autonomous marketing workflows, or when planning an AI-first marketing operations architecture.
Mechanize Pattern 15 — the seven-pass adversarial review protocol for academic manuscripts. Spawns 7 forked subagents in parallel (abstract, intro, methods, results, robustness, prose, citations), then synthesizes a prioritized revision checklist. Use for submission-ready or R&R-stage papers where single-pass review isn't enough.
Deep research on any topic using Perplexity, DeepWiki, and Context7. Use for comprehensive investigation of technologies, libraries, patterns, or domain questions.
guide and workflow for rule-creation.
Interactive TUI dashboard for visualizing Claude Code token usage, costs, and task breakdowns by project, model, and activity type.
Expert skill for using HY-World 2.0, Tencent's multi-modal world model for reconstructing, generating, and simulating 3D worlds from text, images, and video.
Expert skill for using MOSS-TTS-Nano, a 0.1B parameter multilingual real-time TTS model that runs on CPU with voice cloning support.
Feed-forward 3D foundation model for streaming scene reconstruction using Geometric Context Transformer
Stability AI integration. Manage data, records, and automate workflows. Use when the user wants to interact with Stability AI data.
Architecture patterns and best practices for giving AI agents email capabilities. Use when designing how agents send, receive, and manage email conversations, building two-way communication loops, implementing human-in-the-loop approval with drafts, choosing between WebSockets and webhooks, setting up multi-agent email topologies, handling OTP and verification flows, or securing agent email against prompt injection.