Total 50,524 skills, AI & Machine Learning has 8481 skills
Showing 12 of 8481 skills
VoxFlow AI voice toolkit — text-to-speech synthesis with 200+ voices, AI podcast generation, narrated story creation, and voice search. Use this skill when users need any speech/voice/audio synthesis task.
Multi-agent systems with LangGraph - supervisor/swarm/handoff/router patterns, state coordination, Deep Agents, guardrails, testing, observability, deployment. Use when building multi-agent workflows, coordinating agents, or need cost-optimized orchestration. Uses Claude, DeepSeek, Gemini (no OpenAI).
Integrate Didit Face Match standalone API to compare two facial images. Use when the user wants to compare faces, verify face identity, implement biometric comparison, facial recognition, or selfie-to-document matching using Didit. Returns a similarity score (0-100) with configurable decline threshold. Supports image rotation and multi-face detection.
Bilibili Comment Public Opinion Analysis and Creator Operation Suggestions. Activate this skill when the user provides a Bilibili video/live stream link and needs to analyze comment public opinion, bullet screen sentiment, user feedback, or operation suggestions for creators. This skill should also be activated even if the user only says "Help me check the comments of this Bilibili video" or "Analyze the bullet screens of this video."
Configure NocoBase as an MCP server for your coding agent CLI. Use when users need to set up MCP connection to NocoBase for the first time.
Track AI token consumption, costs, and usage trends using the orbit CLI. Use this skill whenever the user asks about token usage, AI costs, Claude Code spending, how many tokens were used, cost breakdown by model, session history, or token analytics. Trigger on phrases like 'how much have I spent', 'token usage', 'show me costs', 'what's my AI spending', 'how many tokens today', 'cost per model', 'list sessions', 'track usage', 'token report', 'weekly usage', 'monthly costs', or any token/cost tracking task — even casual references like 'am I spending too much on Claude', 'what did that session cost', 'show me the dashboard', or 'how much is opus costing us'.
ERC-8004 on-chain agent validation management — request and respond to validations, and query validation status, summaries, and paginated lists by agent or validator.
Scaffolds eval.yaml test files for agent skills in the dotnet/skills repository. Use when creating skill tests, writing evaluation scenarios, defining assertions and rubrics, or setting up test fixture files. Handles eval.yaml generation, fixture organization, and overfitting avoidance. Do not use for running or debugging existing tests nor for skills authoring.
Retrieve the latest Runway API reference from docs.dev.runwayml.com and use it as the authoritative source before any integration work
Help users create Runway Characters (GWM-1 avatars) and integrate real-time conversational sessions into their apps
Add x402 payment execution to AI agents — per-task budgets, spending controls, and non-custodial wallets via MCP tools. Use when agents need to pay for APIs, services, or other agents.
Offers the user an informed choice about how much response depth to consume before answering. Use this skill when the user explicitly wants to control response length, depth, or token budget. TRIGGER when: "token budget", "token count", "token usage", "token limit", "response length", "answer depth", "short version", "brief answer", "detailed answer", "exhaustive answer", "respuesta corta vs larga", "cuántos tokens", "ahorrar tokens", "responde al 50%", "dame la versión corta", "quiero controlar cuánto usas", or clear variants where the user is explicitly asking to control answer size or depth. DO NOT TRIGGER when: user has already specified a level in the current session (maintain it), the request is clearly a one-word answer, or "token" refers to auth/session/payment tokens rather than response size.