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Found 1,806 Skills
End-to-end Stake game development workflow for math, RGS contract, frontend playback, and compliance gating. Use when building or updating Stake games, defining game modes and RTP targets, validating generated books/index metadata, validating event streams, integrating frontend event playback, implementing RGS communication and replay mode, or preparing publication checks including social-language and jurisdiction requirements.
RFC-driven multi-agent DAG execution pattern with quality gates, merge queues, and work unit orchestration.
Create, migrate, and optimize skills for this alicloud-skills repository. Use whenever users ask to add a new skill, import an external skill, refactor skill structure, improve trigger descriptions, add smoke tests under tests/**, or benchmark skill quality before merge.
Universal Assistant — Automatically analyzes scenarios, takes inventory of ECC resources, intelligently routes to the optimal agent pipeline, and completes complex workflows with one click.
Review contracts against your organization's negotiation playbook, flagging deviations and generating redline suggestions. Use when reviewing vendor contracts, customer agreements, or any commercial agreement where you need clause-by-clause analysis against standard positions.
Claude-Codex-Gemini tri-model orchestration via ask-codex + ask-gemini, then Claude synthesizes results
Intelligent lead assignment and routing - AI-powered scoring, territory mapping, round-robin distribution, and workload balancing
Playwright-based browser automation patterns for autonomous web interaction
Use this skill when automating LinkedIn tasks via Rube MCP (Composio): create posts, manage profile, company info, comments, and image uploads. Always search tools first for current schemas.
Slack 이모지 반응자를 Google Calendar 이벤트에 자동 초대. "슬랙 캘린더", "이모지 반응 초대", "slack to gcal", "/slack-gcal" 요청에 사용.
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".
Use when orchestrating multi-agent teams for parallel work — feature dev, quality audits, research sprints, bug hunts, or any task needing 2+ agents working concurrently