ML Ops
Machine learning operations
embedding-comparison
by mindmorass
Compare and evaluate embedding models for semantic search
model-inversion
by pluginagentmarketplace
Privacy attacks to extract training data and sensitive information from AI models
model-extraction
by pluginagentmarketplace
Techniques to extract model weights, architecture, and training data through API queries
redux-saga
by anivar
Redux-Saga best practices, patterns, and API guidance for building, testing, and debugging generator-based side-effect middleware in Redux applications. Covers effect creators, fork model, channels, testing with redux-saga-test-plan, concurrency, cancellation, and modern Redux Toolkit integration. Baseline: redux-saga 1.4.2. Triggers on: saga files, redux-saga imports, generator-based middleware, mentions of "saga", "takeEvery", "takeLatest", "fork model", or "channels".
The 'Explorer vs. Lecturer' Coaching Model
by Coowoolf
105 Product Management Skills extracted from Lenny's Podcast - For use with Claude Code / Cursor / Windsurf
finance-forecast
by jforksy
Detailed financial scenario modeling, revenue projections, and burn rate analysis
explaining
by AlexanderStephenThompson
Repeatable execution process for producing clear explanations. Covers Subject and Situational frameworks, depth scaling, and relatability tools.
testing-methodologies
by pluginagentmarketplace
Structured approaches for AI security testing including threat modeling, penetration testing, and red team operations
data-ai-skills
by pluginagentmarketplace
Master machine learning, data engineering, AI engineering, LLMs, prompt engineering, and MLOps. Build intelligent systems with Python.
evaluation-metrics
by pluginagentmarketplace
LLM evaluation frameworks, benchmarks, and quality metrics for production systems.
Four Forces of Progress
by Coowoolf
A behavioral model defining the opposing forces in switching decisions—Push, Pull, Anxiety, Habit. Change happens only when (Push + Pull) > (Anxiety + Habit). Core to Jobs-to-be-Done theory.
agentscope
by changxubo
Build production-ready multi-agent systems with AgentScope framework. Use this skill when users want to create AI agents, multi-agent workflows, or distributed agent applications. Provides patterns for ReActAgent, MsgHub, Pipelines, MCP integration, memory management, and fault-tolerant agent systems.
J-Curve Career Framework
by Coowoolf
High-growth careers are J-Curves, not stairs—you jump off a cliff (take risk), struggle for 6-9 months (bottom of J), then shoot up exponentially. Use when deciding between safe promotion vs stretch role.
Corporate Innovation C-Corp Model
by Coowoolf
To replicate startup speed in large companies, launch new products as separate legal entities (C-Corps) with distinct brands, reporting directly to the CEO, bypassing standard chains of command.
llm-basics
by pluginagentmarketplace
LLM architecture, tokenization, transformers, and inference optimization. Use for understanding and working with language models.
skool-money-model-strategist
by DaronVee
Applies Alex Hormozi's $100M Money Models frameworks to design, evaluate, and improve Skool community monetization strategies. Uses CAC-based stage diagnosis (5 stages), 30-day cash maximization formulas, and sequential implementation to create actionable roadmaps grounded in Hormozi's 15 money model mechanisms and Skool's 5 business models (Free, Subscription, Freemium, Tiers, One-Time). Helps Skool community owners identify which mechanisms to implement, validate money models against Hormozi principles, and create step-by-step Skool setup instructions for maximum revenue per customer in 30 days.
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.
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。
pricing-packaging
by elliottrjacobs
Design pricing models, packaging tiers, and monetization strategy. Use when the user says "pricing", "packaging", "monetization", "how should we price this", "pricing model", "pricing strategy", "tiers", or needs to figure out how to charge for a product.
Agentic Orchestration for Oracle Cloud
by oci-ai-architects
Claude Code skills for OCI AI Architects. Community-led reference implementations and patterns.
langchain-models
by evanfang0054
Initialize and use LangChain chat models - includes provider selection (OpenAI, Anthropic, Google), model configuration, and invocation patterns
langchain-multimodal
by evanfang0054
Work with multimodal inputs/outputs in LangChain - includes images, audio, video, content blocks, and vision capabilities
mixseek-model-list
by drillan
MixSeek-Coreで利用可能なLLMモデルの一覧を表示します。「使えるモデル」「モデル一覧」「どのモデルがある」「モデルを取得」「APIからモデル」といった依頼で使用してください。API経由でプロバイダー別のモデル情報を動的取得し、推奨設定、互換性情報を提供します。
jupyter-notebooks
by Kang-chen
Jupyter notebook operations: editing cells, reading notebooks, executing, and format conversion. Trigger when working with .ipynb files for: (1) Creating/editing/deleting/reordering cells, (2) Reading notebook content, (3) Executing notebooks with papermill, (4) Converting to HTML/PDF/script formats. Supports Cursor EditNotebook tool, Jupytext workflows, and nbformat.