ML Ops
Machine learning operations
enterprise-code-architect
by ahmed6ww
Expert guidance on system design, repository strategy (Monorepo vs Polyrepo), and architectural patterns (Hexagonal, Clean, Onion) for scaling to 100M+ users.
leap-edge-sdk
by glody007
Liquid AI LEAP Edge SDK for on-device AI inference on Android and iOS. This skill should be used when building mobile apps with local LLM capabilities, implementing chat interfaces with streaming responses, or deploying small language models to edge devices. Triggers on tasks involving LeapSDK, LeapClient, ModelRunner, on-device inference, or mobile AI integration.
ai-product-advisor
by elliottrjacobs
Advise on building AI-powered products — architecture, evals, UX, pricing, and go-to-market. Use when the user says "AI product", "building with AI", "AI strategy", "evals", "AI UX", "LLM product", "AI architecture", or needs guidance on incorporating AI into a product.
cc-context-fork
by choru-k
Fork the current session and run a prompt with a different model. Full conversation context preserved. Use for "fork with haiku", "cheap query", "context fork", "delegate to haiku", "run with haiku", "fork with opus", or when you want a different model for a sub-task.
image-generation
by Xiangyu-CAS
Gemini image generation and editing skill for text-to-image, image-to-image edits, multi-reference composition, and Google Search grounding. Use when creating or modifying images via Gemini (default model gemini-3-pro-image-preview) with the Python SDK.
aegis-router
by disi3r
"AEGIS — Neural Routing Engine for OpenClaw Agent Swarms. Dynamically routes prompts to optimal model tiers using 15-dimensional analysis."
Puppet Mockup Generator
by mmcmedia
Generated arrows are license-free (Nano Banana = we own it)
video-generation
by Xiangyu-CAS
Gemini video generation with Veo 3.1 via the Python SDK. Use when generating videos from text or images, using reference images, first/last frame interpolation, or video extension, and when tuning Veo parameters (aspect ratio, resolution, duration, negative prompts, personGeneration, seed).
feedback-mastery
by cachemoney
Navigate difficult conversations and deliver constructive feedback using structured frameworks. Covers the Preparation-Delivery-Follow-up model and Situation-Behavior-Impact (SBI) feedback technique. Use when preparing for difficult conversations, giving feedback, or managing conflicts.
gtm-strategist
by elliottrjacobs
Build go-to-market plans including channel strategy, launch sequencing, and growth model. Use when the user says "go to market", "GTM plan", "launch strategy", "growth strategy", "how do we get customers", "distribution strategy", or needs to plan how a product reaches its market.
skill-commons
by choru-k
Shared contract nodes reused by multiple skills (routing, delegation, lifecycle, and output conventions).
agent-tools
by Jackiexiao
"Run 150+ AI apps via inference.sh CLI - image generation, video creation, LLMs, search, 3D, Twitter automation. Models: FLUX, Veo, Gemini, Grok, Claude, Seedance, OmniHuman, Tavily, Exa, OpenRouter, and many more. Use when running AI apps, generating images/videos, calling LLMs, web search, or automating Twitter. Triggers: inference.sh, infsh, ai model, run ai, serverless ai, ai api, flux, veo, claude api, image generation, video generation, openrouter, tavily, exa search, twitter api, grok"
backend-ai-agent
by Workshop-Ventures
Create AI agents using Vercel AI SDK with tool use, tracing, and failover. Use when asked to "create an AI agent", "add AI", "create LLM integration", or "build an assistant".
codex
by cachemoney
Use when the user asks to run Codex CLI (codex exec, codex resume) or references OpenAI Codex for code analysis, refactoring, or automated editing. Uses GPT-5.2 by default for state-of-the-art software engineering.
applying-reasoning
by Git-Fg
"Applies structured mental models to solve complex problems. Use when solving architectural decisions, root cause analysis, or strategic planning."
crunch-compete
by crunchdao
Use when working with Crunch competitions - setting up workspaces, exploring quickstarters, testing solutions locally, or submitting entries.
slurm
by SerendipityOneInc
Submit, manage, and monitor GPU workloads on SRP's Slurm clusters with Apptainer containers
unity-shader
by cortexA233
Hand-write, debug, convert, and optimize Unity ShaderLab/HLSL shaders across URP, HDRP, and Built-in Render Pipeline with cross-platform targets (mobile, PC, console, WebGL). Use for shader authoring, pipeline migration, BRDF or lighting work, shader performance tuning, Custom Renderer Feature or Custom Pass integration, and shader artifact troubleshooting.
data-ai-guide
by pluginagentmarketplace
Comprehensive data science, machine learning, and AI guide covering Python, deep learning, NLP, LLMs, prompt engineering, and MLOps. Use when building AI models, data pipelines, or machine learning systems.
test-skill
by galligan
A test skill for validating the packager
model-usage
by mmcmedia
Use CodexBar CLI local cost usage to summarize per-model usage for Codex or Claude, including the current (most recent) model or a full model breakdown. Trigger when asked for model-level usage/cost data from codexbar, or when you need a scriptable per-model summary from codexbar cost JSON.
openscad-iterative-modeling
by fboldo
Iteratively generate OpenSCAD (SCAD) code, render PNG previews, visually critique the result, and refine in a tight loop until the model matches. Use when the user asks to create a 3D model, design a part, make a bracket/enclosure/mount, render in OpenSCAD, export STL, or any request that can be expressed as parametric CSG geometry. Requires the OpenSCAD MCP server tools (render_scad_png, export_scad_stl).
ml-engineer
by jgarrison929
Use when building ML pipelines, training models, deploying to production, implementing feature engineering, MLOps workflows, experiment tracking, model monitoring, or any machine learning engineering task.
mixseek-team-config
by drillan
MixSeekのチーム設定ファイル（team.toml）を生成します。「チームを作成」「エージェント設定を生成」「Web検索チームを作って」「分析チームを設定」といった依頼で使用してください。Leader AgentとMember Agentの構成を定義します。