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Found 84 Skills
Design patterns for building autonomous coding agents. Covers tool integration, permission systems, browser automation, and human-in-the-loop workflows. Use when building AI agents, designing tool APIs, implementing permission systems, or creating autonomous coding assistants.
Deploy, configure, and integrate Sandbox Agent - a universal API for orchestrating AI coding agents (Claude Code, Codex, OpenCode, Amp) in sandboxed environments. Use when setting up sandbox-agent server locally or in cloud sandboxes (E2B, Daytona, Docker), creating and managing agent sessions via SDK or API, streaming agent events and handling human-in-the-loop interactions, building chat UIs for coding agents, or understanding the universal schema for agent responses.
CASS Memory System - procedural memory for AI coding agents. Three-layer cognitive architecture with confidence decay, anti-pattern learning, cross-agent knowledge transfer, trauma guard safety system. Bun/TypeScript CLI.
Agent-agnostic visual feedback tool for AI coding agents to identify and annotate UI elements with structured selectors
Curate, install, and manage Codex skills from the awesome-codex-skills collection for AI coding agents.
Best Practice Advisor for AGENTS.md / CLAUDE.md. It is used when users ask about the format, structure, and best practices of agents markdown, AGENTS.md, CLAUDE.md, Claude Code memory, and AI coding agent instruction files; it also supports reviewing, diagnosing, rewriting, optimizing, or creating agent instruction files such as AGENTS.md, CLAUDE.md, CLAUDE.local.md, and .claude/rules from scratch. It is not suitable for general README writing unless the goal is to provide project context for AI coding agents.
Connect AI coding agents to Figma designs via MCP to generate code from frames, extract design tokens, use Code Connect, and write directly to the canvas
Browser automation via Playwright CLI. Open pages, interact with elements, take screenshots, and more. Ideal for coding agents and automated testing workflows.
Vibe Kanban orchestration platform for AI coding agents: workspaces, sessions, task management, code review, git worktrees, multi-agent support. Keywords: Vibe Kanban, AI agents, Claude Code, Codex, Gemini, kanban board, git worktree, code review, MCP server, workspaces, sessions.
Create and maintain AI coding agent subagents (.claude/agents/*.md, .codex/agents/*.md) with YAML frontmatter (name/description/tools/model/permissionMode/skills/hooks), least-privilege tool selection, delegation patterns (Task), context budgeting, and safety best practices.
Integrate and unbind OpenViking long-term memory with coding agents running in bwrap sandboxes. Supports 7 agents (CodeArts CLI, OpenCode, OpenClaw, Hermes, JiuwenSwarm, KimiCode, DeepSeek Harness) via their native mechanism — MCP or HTTP memory provider. Both integration and unbinding require explicit user authorization. Use this skill when the user wants to: (1) integrate OpenViking memory into a coding agent, (2) unbind OpenViking from a coding agent, (3) check the integration status of all agents, (4) verify the OpenViking MCP endpoint, (5) rebuild the OpenClaw sandbox to apply template changes. Trigger words: "OpenViking integration", "agent memory binding", "MCP setup", "OpenViking MCP", "integrate OpenViking", "unbind OpenViking", "记忆集成", "记忆解绑", "OpenViking 集成", "OpenViking 解绑", "agent long-term memory", "context database".
Write, audit, and improve AGENTS.md files for AI coding agents. Use when creating or improving agent context for a codebase.