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Skill Catalog

Browse 4,314 curated AI agent skills. No account needed.

Education & Writing

Mentoring Juniors

Socratic mentoring for junior developers and AI newcomers. Guides through questions, never answers. Triggers: "help me understand", "explain this code", "I'm stuck", "Im stuck", "I'm confused", "Im confused", "I don't understand", "I dont understand", "can you teach me", "teach me", "mentor me", "guide me", "what does this error mean", "why doesn't this work", "why does not this work", "I'm a beginner", "Im a beginner", "I'm learning", "Im learning", "I'm new to this", "Im new to this", "walk me through", "how does this work", "what's wrong with my code", "what's wrong", "can you break this down", "ELI5", "step by step", "where do I start", "what am I missing", "newbie here", "junior dev", "first time using", "how do I", "what is", "is this right", "not sure", "need help", "struggling", "show me", "help me debug", "best practice", "too complex", "overwhelmed", "lost", "debug this", "/socratic", "/hint", "/concept", "/pseudocode". Progressive clue systems, teaching techniques, and success metrics.

#github-copilot#educationEducation & Writing

Microsoft Learn Contributor

Microsoft Learn Contributor chatmode for editing and writing Microsoft Learn documentation following Microsoft Writing Style Guide and authoring best practices.

#github-copilot#technical#writingEducation & Writing

Microsoft Study and Learn

Activate your personal Microsoft/Azure tutor - learn through guided discovery, not just answers.

#github-copilot#educationEducation & Writing

Mkdocs Translations

Generate a language translation for a mkdocs documentation stack.

#github-copilot#localizationEducation & Writing

ML Paper Writing

Write publication-ready ML/AI papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM. Use when drafting papers from research repos, structuring arguments, verifying citations, or preparing camera-ready submissions. For systems venues (OSDI, NSDI, ASPLOS, SOSP), use systems-paper-writing instead.

#broad-capability#ai-research#machine-learningEducation & Writing

Business, Marketing & Sales

Merge Duplicate Companies

Identify duplicate company records by domain and name, export audit CSVs for review, and guide merging. API for discovery, third-party tools or manual UI for merging (HubSpot has no bulk merge API).

#work-life#crm#hubspotBusiness, Marketing & Sales

Metadata Optimization

When the user wants to optimize App Store metadata — title, subtitle, keyword field, or description. Also use when the user mentions "optimize my title", "ASO metadata", "keyword field", "character limits", "app description", or "write my subtitle". For keyword discovery, see keyword-research. For full ASO audits, see aso-audit.

#work-life#productivity#app-store-optimizationBusiness, Marketing & Sales

Metrics Dashboard

Define and design a product metrics dashboard with key metrics, data sources, visualization types, and alert thresholds. Use when creating a metrics dashboard, defining KPIs, setting up product analytics, or building a data monitoring plan.

#work-life#productivity#product-managementBusiness, Marketing & Sales

Metrics Review

Review and analyze product metrics with trend analysis and actionable insights. Use when running a weekly, monthly, or quarterly metrics review, investigating a sudden spike or drop, comparing performance against targets, or turning raw numbers into a scorecard with recommended actions.

#work-life#productivity#knowledge-workBusiness, Marketing & Sales

Monday.com Automation

Automate Monday.com workflows, board management, team collaboration, and cross-board integrations

#work-life#office#productivityBusiness, Marketing & Sales

Monetization Strategy

When the user wants to design or optimize their app's monetization — pricing, paywalls, subscriptions, or in-app purchases. Also use when the user mentions "pricing", "paywall", "subscription", "IAP", "how to monetize", "revenue optimization", "free trial", or "conversion to paid". For retention impact, see retention-optimization. For competitive pricing, see competitor-analysis.

#work-life#productivity#app-store-optimizationBusiness, Marketing & Sales

Monetization Strategy

Brainstorm 3-5 monetization strategies with audience fit, risks, and validation experiments. Use when exploring revenue models, evaluating pricing strategies, or deciding how to monetize a product.

#work-life#productivity#product-managementBusiness, Marketing & Sales

Design, Media & Creative

Mermaid Diagram

Generate Mermaid diagrams from user requirements. Save .mmd and .md files to figures/ with syntax verification. Supports flowcharts, sequence diagrams, class diagrams, ER diagrams, Gantt charts, and many more diagram types.

#broad-capability#wanshuiyin-aris#ml-researchDesign, Media & Creative

Minimalist UI

Clean editorial-style interfaces. Warm monochrome palette, typographic contrast, flat bento grids, muted pastels. No gradients, no heavy shadows.

#work-life#productivity#designDesign, Media & Creative

Mix Engineer

Polishes raw Suno audio by processing per-stem WAVs (vocals, backing_vocals, drums, bass, guitar, keyboard, strings, brass, woodwinds, percussion, synth, other) with targeted cleanup, EQ, and compression, then remixing into a polished stereo WAV ready for mastering. Use after audio import and before mastering.

#broad-capability#music#audio-generationDesign, Media & Creative

Muapi Logo Creator

Engineer professional-grade brand logos using geometric primitives and negative space — generates minimalist, scalable vector-style marks via muapi.ai

#broad-capability#image-generation#video-generationDesign, Media & Creative

Muapi Social Media Video

Brand-aware social media video creator. Reads brand-identity.md, ICP.md, and messaging.md to write a post/storyboard, craft an optimized Seedance 2.0 Director prompt, generate reference frames with the best available image model, and produce platform-ready video.

#broad-capability#image-generation#video-generationDesign, Media & Creative

Muse

Defining and managing design tokens, applying token systems to existing codebases, and building design system foundations. Covers token architecture for spacing, color, typography, dark mode, and cross-platform output.

#broad-capability#development#securityDesign, Media & Creative

Software Engineering

Mermaid Diagram

Generate Mermaid diagrams from user requirements. Supports flowcharts, sequence diagrams, class diagrams, ER diagrams, Gantt charts, and 18 more diagram types.

#broad-capability#wanshuiyin-aris#ml-researchSoftware Engineering

Microservices Architect

Designs distributed system architectures, decomposes monoliths into bounded-context services, recommends communication patterns, and produces service boundary diagrams and resilience strategies. Use when designing distributed systems, decomposing monoliths, or implementing microservices patterns — including service boundaries, DDD, saga patterns, event sourcing, CQRS, service mesh, or distributed tracing.

#engineering#full-stack#architectureSoftware Engineering

Microsoft Code Reference

Look up Microsoft API references, find working code samples, and verify SDK code is correct. Use when working with Azure SDKs, .NET libraries, or Microsoft APIs—to find the right method, check parameters, get working examples, or troubleshoot errors. Catches hallucinated methods, wrong signatures, and deprecated patterns by querying official docs.

#github-copilot#api#designSoftware Engineering

Microsoft Docs

Query official Microsoft documentation to find concepts, tutorials, and code examples across Azure, .NET, Agent Framework, Aspire, VS Code, GitHub, and more. Uses Microsoft Learn MCP as the default, with Context7 and Aspire MCP for content that lives outside learn.microsoft.com.

#github-copilot#documentationSoftware Engineering

Migrating Dbt Core To Fusion

Use when a user needs help triaging dbt-core to Fusion migration errors. Runs dbt-autofix first, then classifies remaining errors into actionable categories (auto-fixable, guided fixes, needs input, blocked).

#dbt#analytics-engineering#dataSoftware Engineering

Migrating Dbt Project Across Platforms

Use when migrating a dbt project from one data platform or data warehouse to another (e.g., Snowflake to Databricks, Databricks to Snowflake) using dbt Fusion's real-time compilation to identify and fix SQL dialect differences.

#dbt#analytics-engineering#dataSoftware Engineering

Migrating Oracle To Postgres Stored Procedures

Migrates Oracle PL/SQL stored procedures to PostgreSQL PL/pgSQL. Translates Oracle-specific syntax, preserves method signatures and type-anchored parameters, leverages orafce where appropriate, and applies COLLATE "C" for Oracle-compatible text sorting. Use when converting Oracle stored procedures or functions to PostgreSQL equivalents during a database migration.

#github-copilot#database#designSoftware Engineering

Mint

Generating test data and fixtures. Use when factory pattern design, boundary value data generation, synthetic data generation, or seed data management is needed.

#broad-capability#development#securitySoftware Engineering

Mkdocs

Build project documentation sites with MkDocs static site generator. USE WHEN user mentions mkdocs, documentation site, docs site, project documentation, OR wants to create, configure, build, or deploy documentation using Markdown. Covers installation, configuration, theming, plugins, and deployment.

#broad-capability#devops#azureSoftware Engineering

Mobile Accessibility

Mobile accessibility specialist for React Native, Expo, iOS (SwiftUI/UIKit), and Android (Jetpack Compose/Views). Audits accessibilityLabel, accessibilityRole, accessibilityHint, touch target sizes, screen reader compatibility, and platform-specific semantics. Use for any React Native or native mobile code review - approximately 60% of web traffic is mobile and most UI accessibility tooling ignores mobile-specific patterns.

#broad-capability#accessibility#a11ySoftware Engineering

Mocha Skill

Generates Mocha tests in JavaScript with Chai assertions and Sinon mocking. Use when user mentions "Mocha", "Chai", "sinon", "describe/it (not Jest)". Triggers on: "Mocha", "Chai", "sinon", "mocha test".

#testing#automationSoftware Engineering

Modal Specialist

Modal and dialog specialist for web applications. Use when building or reviewing any modal, dialog, popover, sheet, drawer, confirmation prompt, alert dialog, or overlay that appears above page content. Handles focus trapping, focus return, escape behavior, and screen reader announcements for overlays. Applies to any web framework or vanilla HTML/CSS/JS.

#broad-capability#accessibility#a11ySoftware Engineering

Modernization Agent

Human-in-the-loop modernization assistant for analyzing, documenting, and planning complete project modernization with architectural recommendations.

#github-copilot#architectureSoftware Engineering

Monday Bug Context Fixer

Elite bug-fixing agent that enriches task context from Monday.com platform data. Gathers related items, docs, comments, epics, and requirements to deliver production-quality fixes with comprehensive PRs.

#github-copilot#debuggingSoftware Engineering

Monorepo Management

Master monorepo management with Turborepo, Nx, and pnpm workspaces to build efficient, scalable multi-package repositories with optimized builds and dependency management. Use when setting up monorepos, optimizing builds, or managing shared dependencies.

#broad-capability#engineering#agent-skillsSoftware Engineering

Moyu

Automatically activates when over-engineering patterns are detected: (1) Modifying code or files the user did not explicitly ask to change (2) Creating new abstraction layers (class, interface, factory, wrapper) without being asked (3) Adding comments, documentation, JSDoc, or type annotations without being asked (4) Introducing new dependencies without being asked (5) Rewriting entire files instead of making minimal edits (6) Diff scope significantly exceeding the user's request (7) User signals like "too much", "don't change that", "only change X", "keep it simple", "stop" (8) Adding error handling, validation, or defensive code for scenarios that cannot occur (9) Generating tests, configuration scaffolding, or documentation without being asked 当检测到过度工程模式时自动激活: (1) 修改用户未明确要求改动的代码或文件 (2) 创建用户未要求的新抽象层(class、interface、factory、wrapper) (3) 添加用户未要求的注释、文档、JSDoc、类型注解 (4) 引入用户未要求的新依赖包 (5) 重写整个文件而非做最小编辑 (6) diff 范围明显超出用户请求 (7) 用户说"太多了"、"不要改那个"、"只改 X"、"简单点"、"别加戏" (8) 为不可能发生的场景添加错误处理、校验、防御性代码 (9) 未被要求就生成测试、配置脚手架、文档

#work-life#productivity#personalSoftware Engineering

Moyu — Anti-Over-Engineering

Only change what was asked. Use the simplest solution. When unsure, ask.

#work-life#productivity#personalSoftware Engineering

Moyu En

Automatically activates when over-engineering patterns are detected: (1) Modifying code or files the user did not explicitly ask to change (2) Creating new abstraction layers (class, interface, factory, wrapper) without being asked (3) Adding comments, documentation, JSDoc, or type annotations without being asked (4) Introducing new dependencies without being asked (5) Rewriting entire files instead of making minimal edits (6) Diff scope significantly exceeding the user's request (7) User signals like "too much", "don't change that", "only change X", "keep it simple", "stop" (8) Adding error handling, validation, or defensive code for scenarios that cannot occur (9) Generating tests, configuration scaffolding, or documentation without being asked

#work-life#productivity#personalSoftware Engineering

Moyu Fr

S'active automatiquement lorsque des patterns de sur-ingénierie sont détectés : (1) Modifier du code ou des fichiers que l'utilisateur n'a pas explicitement demandé de changer (2) Créer de nouvelles couches d'abstraction (class, interface, factory, wrapper) sans demande (3) Ajouter des commentaires, de la documentation, JSDoc ou des annotations de type sans demande (4) Introduire de nouvelles dépendances sans demande (5) Réécrire des fichiers entiers au lieu de faire des modifications minimales (6) Le diff dépasse significativement la portée de la demande de l'utilisateur (7) L'utilisateur signale "trop", "ne change pas ça", "change seulement X", "garde ça simple", "arrête" (8) Ajouter de la gestion d'erreurs, de la validation ou du code défensif pour des scénarios impossibles (9) Générer des tests, du scaffolding de configuration ou de la documentation sans demande

#work-life#productivity#personalSoftware Engineering

Moyu Ja

過剰エンジニアリングのパターンが検出された場合に自動的に発動します: (1) ユーザーが明示的に変更を求めていないコードやファイルを修正する (2) 要求されていない新しい抽象レイヤー(class、interface、factory、wrapper)を作成する (3) 要求されていないコメント、ドキュメント、JSDoc、型注釈を追加する (4) 要求されていない新しい依存パッケージを導入する (5) 最小限の編集ではなくファイル全体を書き直す (6) diff の範囲がユーザーの要求を明らかに超えている (7) ユーザーが「やりすぎ」「そこは変えないで」「Xだけ変えて」「シンプルに」「やめて」と言う (8) 起こり得ないシナリオに対するエラーハンドリング、バリデーション、防御的コードを追加する (9) 要求されていないテスト、設定のスキャフォールディング、ドキュメントを生成する

#work-life#productivity#personalSoftware Engineering

Moyu Ko

과잉 엔지니어링 패턴이 감지되면 자동으로 활성화됩니다: (1) 사용자가 명시적으로 변경을 요청하지 않은 코드나 파일을 수정하는 경우 (2) 요청되지 않은 새로운 추상화 레이어(class, interface, factory, wrapper)를 생성하는 경우 (3) 요청되지 않은 주석, 문서, JSDoc, 타입 어노테이션을 추가하는 경우 (4) 요청되지 않은 새로운 의존성을 도입하는 경우 (5) 최소한의 편집 대신 파일 전체를 다시 작성하는 경우 (6) diff 범위가 사용자의 요청을 명백히 초과하는 경우 (7) 사용자가 "너무 많아", "거기는 건드리지 마", "X만 변경해", "간단하게", "그만" 등의 신호를 보내는 경우 (8) 발생할 수 없는 시나리오에 대한 에러 처리, 유효성 검사, 방어적 코드를 추가하는 경우 (9) 요청되지 않은 테스트, 설정 스캐폴딩, 문서를 생성하는 경우

#work-life#productivity#personalSoftware Engineering

Moyu Strict

Strict anti-over-engineering enforcement. Activates on ANY code change to verify scope: (1) Modifying code or files the user did not explicitly ask to change (2) Creating new abstraction layers (class, interface, factory, wrapper) without being asked (3) Adding comments, documentation, JSDoc, or type annotations without being asked (4) Introducing new dependencies without being asked (5) Rewriting entire files instead of making minimal edits (6) Diff scope significantly exceeding the user's request (7) Adding error handling, validation, or defensive code for scenarios that cannot occur (8) Generating tests, configuration scaffolding, or documentation without being asked (9) Any diff exceeding 20 lines for a single-point change 严格反过度工程执行模式。任何代码变更时激活以验证范围: (1) 修改用户未明确要求改动的代码或文件 (2) 创建用户未要求的新抽象层 (3) 添加用户未要求的注释、文档、类型注解 (4) 引入用户未要求的新依赖 (5) 重写整个文件而非做最小编辑 (6) diff 范围明显超出用户请求 (7) 为不可能发生的场景添加错误处理 (8) 未被要求就生成测试、配置、文档 (9) 单点改动 diff 超过 20 行

#work-life#productivity#personalSoftware Engineering

Ms Teams Apps

Microsoft Teams bots and AI agents - Claude/OpenAI, Adaptive Cards, Graph API

#claude-bootstrap#bootstrap#frontendSoftware Engineering

Mstest Skill

Generates MSTest tests in C#. Microsoft's built-in testing framework for .NET. Use when user mentions "MSTest", "[TestMethod]", "[TestClass]", "Assert.AreEqual". Triggers on: "MSTest", "[TestMethod]", "[TestClass]", "Microsoft test framework".

#testing#automationSoftware Engineering

Multi Reviewer Patterns

Coordinate parallel code reviews across multiple quality dimensions with finding deduplication, severity calibration, and consolidated reporting. Use this skill when organizing multi-reviewer code reviews, calibrating finding severity, or consolidating review results.

#broad-capability#engineering#agent-skillsSoftware Engineering

N8n Code Javascript

Write JavaScript code in n8n Code nodes. Use when writing JavaScript in n8n, using $input/$json/$node syntax, making HTTP requests with this.helpers / the $helpers global, working with dates using DateTime, troubleshooting Code node errors, choosing between Code node modes, or doing any custom data transformation in n8n. Always use this skill when a workflow needs a Code node — whether for data aggregation, filtering, API calls, format conversion, batch processing logic, or any custom JavaScript. Covers SplitInBatches loop patterns, cross-iteration data, pairedItem, and real-world production patterns. Also use when asked why a Code node or workflow is slow, which execution mode is faster, or how to cut per-item overhead on large datasets. EXCEPTION — for the AI-agent-callable Custom Code Tool (@n8n/n8n-nodes-langchain.toolCode, a tool attached to an AI Agent), use the n8n-code-tool skill instead; it has a different runtime contract.

#n8n#automation#backendSoftware Engineering

N8n Code Python

Write Python code in n8n Code nodes. Use when writing Python in n8n, using _input/_json/_node syntax, working with standard library, or need to understand Python limitations in n8n Code nodes. Use this skill when the user specifically requests Python for an n8n Code node. Note — JavaScript is recommended for 95% of use cases — only use Python when the user explicitly prefers it or the task requires Python-specific standard library capabilities (regex, hashlib, statistics). EXCEPTION — for Python in the AI-agent-callable Custom Code Tool (@n8n/n8n-nodes-langchain.toolCode), use the n8n-code-tool skill instead (input is _query, return must be a string).

#n8n#automation#backendSoftware Engineering

N8n Expression Syntax

Validate n8n expression syntax and fix common errors. Use when writing n8n expressions, using {{}} syntax, accessing $json/$node variables, troubleshooting expression errors, mapping data between nodes, or referencing webhook data in workflows. Use this skill whenever configuring node fields that reference data from previous nodes — expressions are how n8n passes data between nodes, and getting the syntax wrong is the most common source of workflow errors. Also use when asked whether a complex expression hurts performance.

#n8n#automation#backendSoftware Engineering

N8n MCP Tools Expert

Expert guide for using n8n-mcp MCP tools effectively. Use when searching for nodes, validating configurations, accessing templates, managing workflows, managing credentials, auditing instance security, or using any n8n-mcp tool. Provides tool selection guidance, parameter formats, and common patterns. IMPORTANT — Always consult this skill before calling any n8n-mcp tool — it prevents common mistakes like wrong nodeType formats, incorrect parameter structures, and inefficient tool usage. If the user mentions n8n, workflows, nodes, or automation and you have n8n MCP tools available, use this skill first.

#n8n#automation#backendSoftware Engineering

N8n Node Configuration

Operation-aware node configuration guidance. Use when configuring nodes, understanding property dependencies, determining required fields, choosing between get_node detail levels, or learning common configuration patterns by node type. Always use this skill when setting up node parameters — it explains which fields are required for each operation, how displayOptions control field visibility, and when to use patchNodeField for surgical edits vs full node updates.

#n8n#automation#backendSoftware Engineering

N8n Validation Expert

Interpret validation errors and guide fixing them. Use when encountering validation errors, validation warnings, false positives, operator structure issues, or need help understanding validation results. Also use when asking about validation profiles, error types, the validation loop process, or auto-fix capabilities. Consult this skill whenever a validate_node or validate_workflow call returns errors or warnings — it knows which warnings are false positives and which errors need real fixes.

#n8n#automation#testingSoftware Engineering

Presentations & Documents

Science & Simulation

Mesh Generation

Plan and evaluate mesh generation for numerical simulations — estimate grid resolution from physics scales (interface width, boundary layers, wavelengths), check aspect ratios and skewness against quality thresholds, choose between structured, unstructured, and adaptive mesh refinement strategies, and compute grid sizing for 1D/2D/3D domains. Use when setting up a new mesh, diagnosing poor solver convergence caused by mesh quality, deciding how many points to place across a phase-field interface or boundary layer, or preparing a mesh convergence study, even if the user only asks "what resolution do I need" or "why is my solver failing."

#broad-capability#science#materialsScience & Simulation

Metabolomics Workbench Database

Access NIH Metabolomics Workbench via REST API (4,200+ studies). Query metabolites, RefMet nomenclature, MS/NMR data, m/z searches, study metadata, for metabolomics and biomarker discovery.

#broad-capability#creative#bioinformaticsScience & Simulation

Molecular Dynamics

Run and analyze molecular dynamics simulations with OpenMM and MDAnalysis. Set up protein/small molecule systems, define force fields, run energy minimization and production MD, analyze trajectories (RMSD, RMSF, contact maps, free energy surfaces). For structural biology, drug binding, and biophysics.

#broad-capability#science#mathScience & Simulation

Mouser

Search Mouser Electronics for electronic components — secondary source for prototype orders. Find parts, check pricing/stock, download datasheets, analyze specifications. Use with KiCad for BOM creation and part selection. Also supports batch MPN-list seeding (`--mpn-list`) for bulk datasheet workflows without a KiCad project. Use this skill when the user specifically mentions Mouser, when DigiKey is out of stock or has worse pricing, when comparing prices across distributors, or when searching for parts that DigiKey doesn't carry. For package cross-reference tables and BOM workflow, see the `bom` skill.

#kicad#electronics#electronicScience & Simulation

Data, AI & Research

Meta Optimize

Analyze ARIS usage logs and propose optimizations to SKILL.md files, reviewer prompts, and workflow defaults. Outer-loop harness optimization inspired by Meta-Harness (Lee et al., 2026). Use when user says "优化技能", "meta optimize", "improve skills", "分析使用记录", or wants to optimize ARIS's own harness components based on accumulated experience.

#broad-capability#wanshuiyin-aris#ml-researchData, AI & Research

Metric Creation

Guides you step-by-step through defining a business metric (aggregation) on a Honeydew entity. Covers SQL expression building and pushes to Honeydew via the MCP tools.

#honeydew-ai-plugins#coding-agents#llmData, AI & Research

Microsoft Docs

Understand Microsoft technologies by querying official documentation. Use whenever the user asks how something works, wants tutorials, needs configuration options, limits, quotas, or best practices for any Microsoft technology (Azure, .NET, M365, Windows, Power Platform, etc.)—even if they don't mention "docs." If the question is about understanding a concept rather than writing code, this is the right skill.

#broad-capability#development#setupData, AI & Research

Mini Context Graph

A persistent, compounding knowledge base combining Karpathy's LLM Wiki pattern with a structured knowledge graph. Ingest documents once — the LLM writes wiki pages, extracts entities/relations into the graph, and stores raw content for evidence retrieval. Knowledge accumulates and cross-references; it is never re-derived from scratch.

#github-copilot#research#synthesisData, AI & Research

ML Data Leakage Guard

Detects and prevents data leakage in machine learning and mathematical modeling. Use after ML tasks involving data cleaning, feature engineering, data augmentation, algorithm development, normalization, missing value imputation, dimensionality reduction, feature selection, or time series modeling. Checks if features/statistics would be available at prediction time.

#broad-capability#creative#mlData, AI & Research

ML Pipeline

Designs and implements production-grade ML pipeline infrastructure: configures experiment tracking with MLflow or Weights & Biases, creates Kubeflow or Airflow DAGs for training orchestration, builds feature store schemas with Feast, deploys model registries, and automates retraining and validation workflows. Use when building ML pipelines, orchestrating training workflows, automating model lifecycle, implementing feature stores, managing experiment tracking systems, setting up DVC for data versioning, tuning hyperparameters, or configuring MLOps tooling like Kubeflow, Airflow, MLflow, or Prefect.

#engineering#full-stack#mlData, AI & Research

ML Training Recipes

Battle-tested PyTorch training recipes for all domains — LLMs, vision, diffusion, medical imaging, protein/drug discovery, spatial omics, genomics. Covers training loops, optimizer selection (AdamW, Muon), LR scheduling, mixed precision, debugging, and systematic experimentation. Use when training or fine-tuning neural networks, debugging loss spikes or OOM, choosing architectures, or optimizing GPU throughput.

#broad-capability#ai-research#machine-learningData, AI & Research

Model Exploration

Use when exploring Honeydew semantic layer, discovering entities/fields, setting up workspace and branch context, or running simple structured queries to inspect data. For analysis questions use the query skill. For creating metrics use metric-creation skill. For creating attributes use attribute-creation skill.

#honeydew-ai-plugins#coding-agents#researchData, AI & Research

Model Hierarchy

Cost-optimize AI agent operations by routing tasks to appropriate models based on complexity. Use this skill when: (1) deciding which model to use for a task, (2) spawning sub-agents, (3) considering cost efficiency, (4) the current model feels like overkill for the task. Triggers: "model routing", "cost optimization", "which model", "too expensive", "spawn agent".

#zscole-model-hierarchy#modeling#modelData, AI & Research

Model Merging

Merge multiple fine-tuned models using mergekit to combine capabilities without retraining. Use when creating specialized models by blending domain-specific expertise (math + coding + chat), improving performance beyond single models, or experimenting rapidly with model variants. Covers SLERP, TIES-Merging, DARE, Task Arithmetic, linear merging, and production deployment strategies.

#broad-capability#ai-research#machine-learningData, AI & Research

Model Pruning

Reduce LLM size and accelerate inference using pruning techniques like Wanda and SparseGPT. Use when compressing models without retraining, achieving 50% sparsity with minimal accuracy loss, or enabling faster inference on hardware accelerators. Covers unstructured pruning, structured pruning, N:M sparsity, magnitude pruning, and one-shot methods.

#broad-capability#ai-research#machine-learningData, AI & Research

Model Usage

Summarize CodexBar local cost logs by model for Codex or Claude, including current or full breakdowns.

#broad-capability#browser#automationData, AI & Research

Moe Training

Train Mixture of Experts (MoE) models using DeepSpeed or HuggingFace. Use when training large-scale models with limited compute (5× cost reduction vs dense models), implementing sparse architectures like Mixtral 8x7B or DeepSeek-V3, or scaling model capacity without proportional compute increase. Covers MoE architectures, routing mechanisms, load balancing, expert parallelism, and inference optimization.

#broad-capability#ai-research#machine-learningData, AI & Research

Molfeat

Molecular featurization for ML (100+ featurizers). ECFP, MACCS, descriptors, pretrained models (ChemBERTa), convert SMILES to features, for QSAR and molecular ML.

#broad-capability#science#mathData, AI & Research

Mongodb Performance Advisor

Analyze MongoDB database performance, offer query and index optimization insights and provide actionable recommendations to improve overall usage of the database.

#github-copilot#fine#tuningData, AI & Research

Monitor Experiment

Monitor running experiments, check progress, collect results. Use when user says "check results", "is it done", "monitor", or wants experiment output.

#broad-capability#wanshuiyin-aris#ml-researchData, AI & Research

Monitor Experiment

Monitor running experiments, check progress, collect results. Use when user says "check results", "is it done", "monitor", or wants experiment output.

#broad-capability#wanshuiyin-aris#ml-researchData, AI & Research

Mssql

Execute read-only SQL queries against multiple Microsoft SQL Server databases. Use when: (1) querying MSSQL/SQL Server databases, (2) exploring database schemas/tables, (3) running SELECT queries for data analysis, (4) checking database contents. Supports multiple database connections with descriptions for intelligent auto-selection. Blocks all write operations (INSERT, UPDATE, DELETE, DROP, etc.) for safety.

#broad-capability#image-generation#researchData, AI & Research

Mysql

Execute read-only SQL queries against multiple MySQL databases. Use when: (1) querying MySQL databases, (2) exploring database schemas/tables, (3) running SELECT queries for data analysis, (4) checking database contents. Supports multiple database connections with descriptions for intelligent auto-selection. Blocks all write operations (INSERT, UPDATE, DELETE, DROP, etc.) for safety.

#broad-capability#image-generation#researchData, AI & Research

Agent Orchestration

Microsoft 365 Declarative Agents Development Guidelines

Comprehensive development guidelines for Microsoft 365 Copilot declarative agents with schema v1.5, TypeSpec integration, and Microsoft 365 Agents Toolkit workflows

#github-copilot#create#declarativeAgent Orchestration

Microsoft Agent Framework

Create, update, refactor, explain, or review Microsoft Agent Framework solutions using shared guidance plus language-specific references for .NET and Python.

#github-copilot#microsoft#agentAgent Orchestration

Microsoft Foundry

Deploy, evaluate, fine-tune, and manage Foundry agents end-to-end with azd: hosted agent scaffold/run/deploy, prompt agent create, batch eval, continuous eval, prompt optimizer, Agent Optimizer scaffold, agent.yaml, dataset curation from traces, model fine-tuning (SFT/DPO/RFT). USE FOR: azd ai agent, azd provision/deploy, deploy agent, hosted agent, create agent, add tool to agent, invoke agent, evaluate agent, continuous eval, continuous monitoring, optimize prompt, improve prompt, optimize agent instructions, agent optimizer, deploy model, Foundry project, RBAC, role assignment, permissions, quota, capacity, region, troubleshoot agent, deployment failure, AI Services, create Foundry resource, provision, knowledge index, customize deployment, onboard, availability, fine-tune, SFT, DPO, RFT, training-data, grader, distillation, fine-tuned model, large file upload. DO NOT USE FOR: Azure Functions, App Service, general Azure deploy (use azure-deploy), general Azure prep (use azure-prepare).

#broad-capability#development#setupAgent Orchestration

Microsoft Skill Creator

Create agent skills for Microsoft technologies using Learn MCP tools. Use when users want to create a skill that teaches agents about any Microsoft technology, library, framework, or service (Azure, .NET, M365, VS Code, Bicep, etc.). Investigates topics deeply, then generates a hybrid skill storing essential knowledge locally while enabling dynamic deeper investigation.

#github-copilot#skill#creationAgent Orchestration

Mnemos

Task-scoped memory lifecycle — typed MnemoGraph prevents lossy context compaction by treating facts/decisions/code-refs/handoffs as distinct node types with per-type eviction policies

#claude-bootstrap#bootstrap#agentAgent Orchestration

Multi Agent Patterns

This skill should be used when designing multi-agent systems that need context isolation, supervisor or swarm coordination, explicit handoffs, parallel execution, or a decision on whether multiple agents are justified.

#broad-capability#agent-skills#designAgent Orchestration

Mobile App Development

Migrate XML Views To Jetpack Compose

Provides a structured workflow for migrating an Android XML View to Jetpack Compose. This skill details the step-by-step process, from planning and dependency setup, to theming and layout migration, validation and XML cleanup. Use this skill when you need to migrate an XML View to Jetpack Compose in an Android project. It solves the problem of converting the UI of a legacy XML View into modern, declarative Compose components while maintaining interoperability.

#official#broad-capability#androidMobile App Development

Migrating To Modifier Node

Use this skill to author new custom Jetpack Compose modifiers and migrate legacy ones from Modifier.composed { } to Modifier.Node + ModifierNodeElement<T>. Covers the persistent-node lifecycle (onAttach, onDetach, onReset, coroutineScope), the specialized node interfaces (DrawModifierNode, LayoutModifierNode, SemanticsModifierNode, PointerInputModifierNode, CompositionLocalConsumerModifierNode, LayoutAwareModifierNode, GlobalPositionAwareModifierNode, ObserverModifierNode, DelegatingNode, TraversableNode), why ModifierNodeElement MUST be a data class for diffing, and the manual-invalidation knobs (invalidateDraw, invalidateMeasurement, invalidatePlacement, shouldAutoInvalidate). Use when the developer mentions Modifier.composed, custom modifier, ModifierNodeElement, Modifier.Node, "rewriting our drawBehind helper", node lifecycle, or sees Modifier.composed { } in a code review.

#android#jetpack-compose#performanceMobile App Development

Mobile Android Design

Master Material Design 3 and Jetpack Compose patterns for building native Android apps. Use when designing Android interfaces, implementing Compose UI, or following Google's Material Design guidelines.

#broad-capability#engineering#agent-skillsMobile App Development

Mobile iOS Design

Master iOS Human Interface Guidelines and SwiftUI patterns for building native iOS apps. Use when designing iOS interfaces, implementing SwiftUI views, or ensuring apps follow Apple's design principles.

#broad-capability#engineering#agent-skillsMobile App Development

DevOps & Cloud

Mimir

Guide for implementing Grafana Mimir - a horizontally scalable, highly available, multi-tenant TSDB for long-term storage of Prometheus metrics. Use when configuring Mimir on Kubernetes, setting up Azure/S3/GCS storage backends, troubleshooting authentication issues, or optimizing performance.

#broad-capability#devops#azureDevOps & Cloud

Mirrord CI

Help users set up mirrord in CI pipelines for testing against real Kubernetes environments. Use when users want to run end-to-end tests, integration tests, or automated tests in CI using mirrord to connect to staging/shared clusters.

#metalbear-skills#kubernetes#mirrordDevOps & Cloud

Mirrord Config

Helps users generate, edit, and validate mirrord.json configuration files for mirrord (MetalBear). Use when the user wants to connect their local process to a Kubernetes environment, configure features (env/fs/network), or needs feedback on an existing mirrord.json. Always ensures output JSON is valid and schema-conformant.

#metalbear-skills#kubernetes#mirrordDevOps & Cloud

Mirrord DB Branching

Helps users configure mirrord.json for database branching, enabling isolated database copies for safe development and testing. Use when the user wants to set up MySQL or PostgreSQL branching, configure copy modes, IAM authentication, or manage database branches.

#metalbear-skills#kubernetes#mirrordDevOps & Cloud

Mirrord Kafka

Helps DevOps engineers configure mirrord Operator's Kafka queue splitting feature end-to-end. Generates MirrordKafkaClientConfig and MirrordKafkaTopicsConsumer Kubernetes CRD YAMLs, the matching mirrord.json split_queues section, and Helm value guidance. Use this skill whenever the user mentions Kafka splitting with mirrord, MirrordKafkaClientConfig, MirrordKafkaTopicsConsumer, Kafka queue splitting, Kafka topic splitting, configuring mirrord with Kafka, setting up Kafka for mirrord operator, or troubleshooting Kafka splitting sessions. Also trigger when users mention split_queues with queue_type Kafka, or ask about connecting mirrord to a Kafka cluster. This is a Team/Enterprise feature of mirrord.

#metalbear-skills#kubernetes#mirrordDevOps & Cloud

Mirrord Operator

Help users install and configure the mirrord operator for team environments. Use when users ask about operator setup, Helm installation, licensing, or multi-user mirrord deployments.

#metalbear-skills#kubernetes#mirrordDevOps & Cloud

Mirrord Quickstart

Guide users from zero to their first working mirrord session. Use when a user is new to mirrord, wants to install it, or needs help running their first session connecting to a Kubernetes cluster.

#metalbear-skills#kubernetes#mirrordDevOps & Cloud

Modal

Modal is a serverless cloud platform for running Python on demand, including on-demand GPUs. Use when deploying or serving AI/ML models, running GPU-accelerated workloads (training, fine-tuning, inference), serving web endpoints, scheduling batch jobs, or scaling Python code to cloud containers with the Modal SDK.

#broad-capability#science#mathDevOps & Cloud

Modal Serverless GPU

Serverless GPU cloud platform for running ML workloads. Use when you need on-demand GPU access without infrastructure management, deploying ML models as APIs, or running batch jobs with automatic scaling.

#broad-capability#development#creativeDevOps & Cloud

Monitoring Expert

Configures monitoring systems, implements structured logging pipelines, creates Prometheus/Grafana dashboards, defines alerting rules, and instruments distributed tracing. Implements Prometheus/Grafana stacks, conducts load testing, performs application profiling, and plans infrastructure capacity. Use when setting up application monitoring, adding observability to services, debugging production issues with logs/metrics/traces, running load tests with k6 or Artillery, profiling CPU/memory bottlenecks, or forecasting capacity needs.

#engineering#full-stack#monitoringDevOps & Cloud

Multi Cloud Architecture

Design multi-cloud architectures using a decision framework to select and integrate services across AWS, Azure, GCP, and OCI. Use when building multi-cloud systems, avoiding vendor lock-in, or leveraging best-of-breed services from multiple providers.

#broad-capability#engineering#agent-skillsDevOps & Cloud

Multi Stage Dockerfile

Create optimized multi-stage Dockerfiles for any language or framework

#github-copilot#docker#containerizationDevOps & Cloud

Game Development

Security & Compliance