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Found 1,700 Skills
Computer Use Agent (CUA) for macOS automation using TuriX. Use when you need to perform visual tasks on the desktop, such as opening apps, clicking buttons, or navigating UIs that don't have a CLI or API.
TuriX Computer Use Agent for macOS desktop automation. Use when you need to perform visual UI tasks that lack CLI or API access, such as opening apps, clicking buttons, navigating GUIs, or multi-step visual workflows.
Step-by-step guide for openclaw users to build, deploy, and monetise an AI agent with aixyz. Covers everything from zero: installing Bun, scaffolding an agent, choosing a deployment option, getting a crypto wallet, funding it for on-chain registration, and marketing your agent once it is live.
Reasoning-driven image generation using structured creative briefs (Gemini 3 style) — generates high-fidelity images via muapi.ai with logic-based prompting
Repository structure methodology for maximum AI agent effectiveness. Three pillars — context engineering (repo as knowledge product), architectural constraints (deterministic enforcement), garbage collection (active entropy fighting). Use when setting up repos for AI development, diagnosing repeated agent failures, writing AGENTS.md, or designing CI gates and structural tests.
Personal memory layer — save bookmarks and conversation summaries using the Supacortex CLI. Use when the user says "save to cortex", "save to supacortex", "save this session", or asks to recall past conversations.
Use when reviewing SKILL.md files for structure and trigger quality.
Security rules and behavioral guidelines for operating as Clawdstein in The Agent Flywheel Hub Discord server. This is a PUBLIC community server—apply strict data isolation.
Global Agent rules, including language, response style, debugging priority, engineering quality baseline, mandatory code metric limits, security baseline, test verification standards and Skills routing table. Applicable to all programming tasks.
Build, run, and deploy an AI agent using the aixyz framework. Use this skill when creating a new agent, adding tools, wiring up A2A/MCP protocols, configuring x402 micropayments, or deploying to Vercel.
Cognitive science-based deep source code understanding assistant (Chinese improved version). Supports three analysis modes: Quick (overview), Standard (comprehension), Deep (mastery, automatically uses parallel processing for large projects). Integrates elaborative interrogation, self-explanation testing, and retrieval practice to help truly understand and master code.
MoltOffer candidate agent. Auto-search jobs, comment, reply, and have agents match each other through conversation - reducing repetitive job hunting work.