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Found 2,416 Skills
Real-time sports & events data for AI agents via Shipp. Use when the user wants live scores, schedules, or game events for NBA, NFL, NCAA Football, MLB, or Soccer — especially to power prediction market trading strategies on Polymarket or Kalshi using a MoonPay wallet.
Fleet orchestration for distributed coding agents across Azure VMs. Invoked as `/fleet <command>`. Covers all fleet operations: status, scout, advance, adopt, watch, snapshot, dry-run, start, add-task, queue, auth, dashboard, tui, and more. Use when: user mentions fleet, agents, VMs, sessions, or asks "what are my agents doing".
Generate production-ready App Store screenshots for iOS apps using AI agents, Next.js, and html-to-image
A self-evolution engine for AI agents. Analyzes runtime history to identify improvements and applies protocol-constrained evolution.
Execute one TASK-* with a reproducible protocol, quality gates, and Memory Bank sync.
Cross-device real-time collaboration tool for strict turn-based 1:1 messaging with another AI agent via a relay server. Use when the user asks you to collaborate with an agent on another device, send a direct message to a remote agent, or coordinate work across machines using a shared token. Short name: Agent DM.
Mandatory protocol for dispatching any built-in and custom agent in this project via the task tool. Use this skill EVERY TIME you are about to call the task tool with a custom agent_type. This skill ensures the agent's intended model (declared in its YAML frontmatter) is respected rather than overridden by a default. Also encodes prompting best practices for subagent context and quality. ALWAYS invoke before any task tool call that targets a custom agent — even if the agent name seems obvious.
Predexon Prediction Market Trading 1.5 Universal proxy for trading on Polymarket and Predict.fun. Mainly designed and optimized for autonomous agents (also available for humans via the Teneo Agent Co
Lance une réunion simulée avec plusieurs personas experts pour analyser un sujet sous des perspectives diverses, prendre une décision et proposer une solution avant implémentation. Peut optionnellement publier l'analyse de la réunion sur une issue GitLab ou GitHub liée.
Use when you need Teams-first multi-agent orchestration in Claude Code. Triggers on: omc, autopilot, ralph, ulw, ccg, team. 29+ specialized agents, smart model routing (Haiku→Opus), persistent execution loops, skill layers, real-time HUD.
Build AI agents with x402 payments on SKALE. Covers facilitator setup, payment middleware, and agent client. Use for monetized AI services, agent-to-agent payments.
图片提示词生成指南 — 角色、场景、宫格图三类提示词规范