Total 50,615 skills, AI & Machine Learning has 8484 skills
Showing 12 of 8484 skills
Use when generating a non-interactive cutscene clip — opening scene, story beat, character intro, ending. Locks the look with a reference image, image-to-videos a 5-10s shot, optionally adds TTS dialogue, and wires it as a VideoStreamPlayer that fades in/out. Trigger on "cutscene", "intro cinematic", "opening scene", "ending cinematic", "story beat video", "character intro video", "in-engine cinematic", "non-playable scene".
Primarily the agent's internal-thinking skill — invoke it silently to model a problem, identify trade-offs, and decide what to do, BEFORE asking the user anything or dispatching another skill. Workflow skills call `/culture` as their step-1 reasoning pass; the agent does not surface the dialogue. Only treat this as a user-facing skill when the user has explicitly opted out of writes — phrases like "no writes", "just rubber-duck this", "let's only talk", "/culture". In the user-facing path the output is conversation; the only sanctioned artifact is an opt-in `.cheese/notes/<slug>.md` handoff slug at session end if the user asks for notes. Culture never writes to production code, never commits, never opens PRs. If the dialogue reveals real work, recommend `/mold` (fuzzy → spec) or `/cook` (clear ask → code) and stop. Before `/mold` or `/cook`.
Копирайтер в стиле владельца. Пишет посты для Telegram YOUR_CHANNEL, анонсы видео, описания. Знает стиль, словарь, запрещённые обороты.
Add policy enforcement, zero-trust identity, and execution sandboxing to AI agents with Microsoft's Agent Governance Toolkit
Adaptive multi-agent framework for automated data science tasks with planning, execution, and validation
Master the Infinite Agentic Loop pattern with Claude Code for parallel AI agent orchestration and iterative content generation
Deploy and configure Mercury Agent, a soul-driven AI agent with permission-hardened tools, token budgets, and multi-channel access
Context layer for AI data agents - teach Claude Code, Codex, and AI agents to query data warehouses accurately with semantic layer, wiki knowledge, and MCP tools
A meta-skill that establishes a 'One Brain' portable memory folder (.agent/). It persists context, user preferences, identity rules, and execution history across different AI harnesses (Claude Code, Cursor, Windsurf, OpenClaw).
Build local-first AI executive assistant workflows with OpenClaw for data intake, operational memory, and communications triage
Router skill for LLMQuant equities workflows. Use when the user needs stock analysis, equity comparison, research memos, merger-arb memos, or sell/take-profit work.
Router skill for LLMQuant commodities workflows. Use when the user needs commodity spot, futures curve, inventory, roll yield, or macro linkage analysis.