tmux-team
Communicate with other AI agents in tmux panes. Use when you need to talk to codex, claude, gemini, or other agents.
发现 devops llm ai 相关 Skills,比较来源仓库和用途,查看适合你工作流的技能说明。
Communicate with other AI agents in tmux panes. Use when you need to talk to codex, claude, gemini, or other agents.
SOP for creating new Claude Code skills. Use when adding a new skill to any project or globally.
Generate AI-friendly Python CLIs using Click, Pydantic, and uv. Use when user wants to create a new CLI tool that follows best practices for agentic coding environments.
ユーザと対話してCLAUDE.mdを初期化・更新する
Manage MLAI points system - check balance, book coworking, claim tasks, redeem rewards
This skill should be used when the user asks to "create a session hook", "add a temporary hook", "create a hook for this session", "set up a hook that activates immediately", "configure a one-time hook", or men...
Use this `codex-mcp` skill to instruct another AI Agent to invoke a tool or execute a workflow on your behalf for the following scenario, 1.When you are requested to invoke a mcp tool that you don't have access...
Apply covenant principles as design constraints across all core systems. Use when building agents, prompts, recipes, artifacts, or multi-agent architectures.
Patterns for coordinating multiple AI agents. Use when single-agent context limits are exceeded, tasks decompose naturally, or specialized agents improve quality.
Universal agent configuration patterns for any AI coding environment. Use when configuring steering, specs, or context assembly for Kiro, Claude Code, Codex, Charm, or other agents.
Transform content through eight cognitive lenses for different kinds of understanding. Use when the same concept needs exploration through story, debate, simulation, uncertainty, fiction, embodiment, ritual, or...
Apply optimization techniques to extend effective context capacity. Use when context limits constrain agent performance, when optimizing for cost or latency, or when implementing long-running agent systems.
Design multi-agent architectures for complex tasks. Use when single-agent context limits are exceeded, when tasks decompose naturally into subtasks, or when specializing agents improves quality.
Recognize, diagnose, and mitigate patterns of context degradation in agent systems. Use when context grows large, agent performance degrades unexpectedly, or debugging agent failures.
Design and evaluate context compression strategies for long-running agent sessions. Use when agents exhaust memory, need to summarize conversation history, or when optimizing tokens-per-task rather than tokens-...
Determines appropriate agent routing based on task type, scale, and agent capabilities
Common workflow patterns and coordination strategies for multi-agent orchestration
Set up AI inference servers on cloud GPUs. Create private LLM APIs (vLLM, TGI), image generation endpoints, embedding services, and more. All with OpenAI-compatible interfaces that work with existing tools.
Process audio, video, and media on cloud GPUs. Transcribe with Whisper, clone voices, generate videos, upscale images, and run batch media processing. All results sync back to your Mac.
Specialized skill for ML training workflows on cloud GPUs. Fine-tune LLMs with LoRA/QLoRA, train image LoRAs, build classifiers, and run custom training jobs. Generates production-ready training pipelines with...
Transform natural language requests into complete GPU CLI workflows. The ultimate skill for Mac users who want to run NVIDIA GPU workloads without configuration complexity. Describe what you want, get a working...
This skill should be used when the user asks to "build an AI assistant", "create a chatbot", "make an agent that does X for me", "design a copilot feature", "automate this workflow with AI", or requests delegat...
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or to...
Manage markdown work-session files in .agent/work-sessions to save, resume, search, and update progress across Copilot or LLM sessions.
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。