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bottle
Open Horizon Labs orchestration. "$bottle init" for setup, "$bottle dive" to start sessions, "$bottle web-context" for fresh docs.
Skills IA documentation llm ai
Découvrez les skills documentation llm ai, comparez leurs dépôts et consultez leurs instructions.
Catégories: documentation llm ai
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Explorer
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autonomous-operations
Autonomous homelab operations using OODA loop (Observe, Orient, Decide, Act) - use when reviewing system state, planning autonomous actions, or investigating operational issues
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tmux-team
Coordinate with other AI agents running in tmux panes. Use this skill when you need to delegate tasks, request reviews, or collaborate with agents like Codex, Gemini, or other Claude instances.
GitHub
tmux-team
Communicate with other AI agents in tmux panes. Use when you need to talk to codex, claude, gemini, or other agents.
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skill-creation
SOP for creating new Claude Code skills. Use when adding a new skill to any project or globally.
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cli-generator
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.
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update-claude-md
ユーザと対話してCLAUDE.mdを初期化・更新する
GitHub
mlai-points
Manage MLAI points system - check balance, book coworking, claim tasks, redeem rewards
GitHub
session-hook
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...
GitHub
codex-mcp
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...
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covenant-patterns
Apply covenant principles as design constraints across all core systems. Use when building agents, prompts, recipes, artifacts, or multi-agent architectures.
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multi-agent-coordination
Patterns for coordinating multiple AI agents. Use when single-agent context limits are exceeded, tasks decompose naturally, or specialized agents improve quality.
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agent-steering
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.
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epistemic-rendering
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...
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context-optimization
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.
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multi-agent-patterns
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.
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context-degradation
Recognize, diagnose, and mitigate patterns of context degradation in agent systems. Use when context grows large, agent performance degrades unexpectedly, or debugging agent failures.
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context-compression
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-...
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delegation-router
Determines appropriate agent routing based on task type, scale, and agent capabilities
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workflow-patterns
Common workflow patterns and coordination strategies for multi-agent orchestration
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gpu-inference-server
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.
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gpu-media-processor
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.
GitHub
gpu-ml-trainer
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...
GitHub
gpu-workflow-creator
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...
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.