ML Ops
Machine learning operations
modal-deployment
by ferdousbhai
Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch jobs, scheduling tasks, serving APIs with GPU acceleration, or scaling compute-intensive workloads. Triggers on requests for serverless GPU infrastructure, LLM inference, model training/fine-tuning, parallel data processing, cron jobs in the cloud, or deploying Python web endpoints.
swiftui-view-refactor
by dagba
Refactor and review SwiftUI view files for consistent structure, dependency injection, and Observation usage. Use when asked to clean up a SwiftUI view’s layout/ordering, handle view models safely (non-optional when possible), or standardize how dependencies and @Observable state are initialized and passed.
red-team-frameworks
by pluginagentmarketplace
Tools and frameworks for AI red teaming including PyRIT, garak, Counterfit, and custom attack automation
pal-mcp-expert
by mamba-mental
Expert guidance for using the Pal MCP Server (zen-pal-nas). This skill should be used when working with multi-model AI orchestration, tool workflows (chat, thinkdeep, planner, consensus, debug, codereview, precommit, clink), configuration troubleshooting, or optimizing model selection strategies. Activates automatically when user mentions Pal MCP, zen-pal-nas, or specific tool names.
cost-planning-for-solana-apps
by SanctifiedOps
Estimate and control costs for Solana apps: RPC, indexing, storage, bots, and on-chain fees. Use for budgeting and scaling.
hugging-face-space-deployer
by GhostScientist
Create, configure, and deploy Hugging Face Spaces for showcasing ML models. Supports Gradio, Streamlit, and Docker SDKs with templates for common use cases like chat interfaces, image generation, and model comparisons.
solana-account-model
by SanctifiedOps
Expert guide to Solana's account model: ownership, signers, rent, PDAs, CPIs, and state layout decisions. Use when modeling accounts, auditing account flows, or debugging account-related errors.
Google ADK Python Skill
by mamba-mental
Remember: ADK treats agent development like traditional software engineering - use version control, write tests, and follow engineering best practices.
subagent-generator
by squirrelsoft-dev
Generates custom Claude Code subagents with specialized expertise. Activates when user wants to create a subagent, specialized agent, or task-specific AI assistant. Creates properly formatted .md files with YAML frontmatter, suggests tool restrictions and model selection, generates effective system prompts. Use when user mentions "create subagent", "new agent", "specialized agent", "task-specific agent", or wants isolated context for domain-specific work.
model-inversion
by pluginagentmarketplace
Privacy attacks to extract training data and sensitive information from AI models
asset-pipeline-3d
by AnthemFlynn
Optimize and prepare 3D assets for web delivery. Use this skill when working with GLTF/GLB files, compressing 3D models, optimizing textures, setting up Blender exports, or preparing assets for Three.js/R3F. Covers GLTF workflows, Draco/meshopt compression, texture optimization, LOD generation, and performance profiling.
devops-deployer
by ajianaz
Comprehensive DevOps and deployment workflow that orchestrates infrastructure automation, CI/CD pipelines, container orchestration, and cloud deployment. Handles everything from infrastructure as code and pipeline setup to monitoring, scaling, and disaster recovery.
mixseek-config-validate
by drillan
MixSeekの設定ファイル（team.toml、orchestrator.toml、evaluator.toml、judgment.toml）を検証します。「設定を検証」「TOMLをチェック」「設定ファイルの確認」「バリデーション」「ワークスペースの検証」といった依頼で使用してください。TOML構文とMixSeekスキーマへの準拠を確認します。
concept-explorer
by Semprini
Use this skill when the user asks "what is [concept]", "how does [feature] work", "explain [section]", "compare MD-DDL to [tool]", "why does MD-DDL [design choice]", or any question about a specific part of the standard. Also use when the user wants to understand the reasoning behind a design decision or the trade-offs between alternatives (entity vs enum, canonical vs bounded context, etc.).
modelscope-notebook-adapter
by VoyagerXvoyagerx
Adapt and reproduce Jupyter notebooks, Colab notebooks, GitHub tutorial notebooks, or local notebook folders in ModelScope Notebook. Use when Codex must port a tutorial to ModelScope, replace Hugging Face/Google Drive/Colab downloads with ModelScope model or dataset repositories, prepare/upload missing assets with README metadata and license/source information, execute notebooks locally or in ModelScope-compatible environments, debug dependency/data/model issues, and update reports with reproducibility results.
orientation
by Semprini
Use this skill on first contact, when the user asks "what is MD-DDL", "where do I start", "what can I do here", or describes their role and goals. Also use when the user asks for a general overview of the standard, the agent ecosystem, or the workflow.
gemini
by iamladi
Use when the user asks to run Gemini CLI for code review, plan review, or big context (>200k) processing. Ideal for comprehensive analysis requiring large context windows. Uses Gemini 3 Pro by default for state-of-the-art reasoning and coding.
analysis-planner
by smestern
Creates step-by-step analysis plans for scientific data — designs the pipeline, specifies parameters, anticipates risks, and defines success criteria before any code is executed.
codex
by iamladi
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-5.3-Codex by default for state-of-the-art software engineering.
standards-alignment
by Semprini
Use this skill when the user mentions a named industry standard (BIAN, ISO 20022, FHIR, ACORD, TM Forum, etc.), when modelling a recognised industry domain (banking, payments, insurance, healthcare, telecoms, retail), or when populating the Reference column of any MD-DDL summary table. Also use when the user asks whether a concept already exists in a standard, or when two modelled concepts might map to the same standard object.
mixseek-debug
by drillan
MixSeek-Plusのデバッグ機能を有効化し、ログ出力を制御します。「デバッグモードを有効化」「verbose」「ログを出力」「ログレベル」「デバッグ設定」といった依頼で使用してください。
euler-irm-oracles
by euler-xyz
Oracle and Interest Rate Model guide for Euler Finance V2. This skill should be used when deploying oracle adapters, configuring price resolution, querying prices, or understanding IRM types. Triggers on tasks involving Chainlink, Pyth, Chronicle, price feeds, Linear Kink IRM, Adaptive Curve IRM, or interest rate configuration.
ask-laravel-architect
by NavanithanS
Laravel scaffolding for SQL or Mongo (Official/Jenssegers), SoftDeletes, API standards.
Demand-Side Buying Timeline
by Coowoolf
A chronological model of the buying process from the customer's perspective—First Thought, Passive Looking, Active Looking, Deciding, First Use, Ongoing Use. Align sales to customer psychology, not your funnel.