Skills
101,174 packaged capabilities and playbooks for agents. Install any of them with one command.
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Help with ABAP Unit testing including test class setup, assertions, test doubles, mocking frameworks, dependency injection, CDS test environments, SQL test environments, RAP BO test doubles, and test fixtures. Use when users ask about ABAP unit tests, test classes, test methods, CL_ABAP_UNIT_ASSERT, test doubles, mocking, CDS test environment, SQL test environment, RAP testing, ABAP test injection, test seams, behavior-driven testing, TDD in ABAP, test isolation, or writing automated tests for ABAP code. Triggers include "write a unit test", "create test class", "mock a dependency", "test a CDS view", "test a RAP BO", "test double", "assertion", "test fixture", "test isolation", or "ABAP unit".
Integrates Power Pages generative-AI summarization APIs (PREVIEW) into a Single Page Application (SPA) site — the Search Summary API and the Data Summarization API — on any record-detail or list page. Generates per-target service code (CSRF-handled) and AI site settings; delegates Web API settings, table permissions, and web roles to `/integrate-webapi` and `/create-webroles`. Use whenever a user wants AI/Copilot output that condenses Dataverse content on a Power Pages site — an AI summary, AI-generated overview or "key insights" across a record or list, a search-results summary, a case/incident summary, or recommendation-chip refinement — even when phrased as "AI-generated paragraph", "insights", or "overview". Do NOT use for: generative pages in model-driven apps (use the model-apps `genpage` skill), Copilot Studio agents/chatbots, summarizing documents or PDFs, Power BI dashboards, plain keyword search with no AI summary, or plain Dataverse CRUD (use `/integrate-webapi`).
Use when analyzing server logs to understand how AI crawlers (GPTBot, ClaudeBot, PerplexityBot) interact with your site. Use when optimizing content placement for LLM retrieval, diagnosing why AI search isn't citing your content, or auditing crawl patterns to find optimization gaps
Audit AI-powered interfaces against the uxuiprinciples Part V taxonomy—44 principles covering transparency, trust calibration, human override, consent, agentic workflows, and conversational design. Returns structured findings with severity and remediation. API key is optional; enriched output requires uxuiprinciples.com API Access.
Algorithmic complexity (Big-O) review — finding nested loops, N+1 queries, exponential recursion, quadratic string builds, and other accidental complexity blowups. Covers Python, JavaScript/TypeScript, Java, Go, and similar languages. Use whenever writing, reviewing, or refactoring code where Big-O matters. Trigger even when the user doesn't mention "Big-O" explicitly — if they're reviewing code for performance, refactoring a hot path, asking "why is this slow," or working with data that scales (loops, recursions, collections, ORM access), apply this skill to classify the time/space complexity and suggest the fix. Especially trigger on tasks like "review for performance," "find slow code," "make this faster," "this code is O(n²)," or when reading code that processes collections.
Manage the full lifecycle of Alibaba Cloud PAI DSW (Data Science Workshop) instances — create, update, query, list, start, stop, and look up ECS specs. Triggers: PAI DSW, DSW instance, create instance, start instance, stop instance, update instance, query instance, instance list, ECS spec, CreateInstance, UpdateInstance, GetInstance, ListInstances, StartInstance, StopInstance, ListEcsSpecs
Use when asking about 'purge files', 'storage pressure', 'disk space iOS', 'isExcludedFromBackup', 'URL resource values', 'volumeAvailableCapacity', 'low storage', 'file purging priority', 'cache management' - comprehensive reference for iOS storage management and URL resource value APIs
Expert knowledge for Azure Business Process Tracking development, including deployment. Use when creating CI/CD pipelines, automating builds, running tests, and deploying tracking solutions via DevOps tools, and for other Azure Business Process Tracking development tasks. Not for Azure Monitor (use azure-monitor), Azure Logic Apps (use azure-logic-apps), Azure Data Factory (use azure-data-factory), or Azure Machine Learning (use azure-machine-learning).
Expert knowledge for Azure Managed Applications development, including limits and quotas, security, configuration, and deployment. Use for designing createUiDefinition UIs, JIT access, managed identities, StorageAccountSelector, Bicep-based catalog publishing, and other Azure Managed Applications development tasks. Not for Azure Blueprints (use azure-blueprints), Azure Resource Manager (use azure-resource-manager), Azure Lighthouse (use azure-lighthouse), or Azure Partner Solutions (use azure-partner-solutions).
Expert knowledge for Playwright Workspaces development including troubleshooting, best practices, decision making, limits & quotas, security, and configuration. Use when managing Playwright Testing workspaces, tokens/RBAC, quotas, monitoring/metrics, or run/AADSTS7000112 issues, and other Playwright Workspaces related development tasks. Not for Azure App Testing (use azure-app-testing), Azure DevOps (use azure-devops), Azure Pipelines (use azure-pipelines), Azure Test Plans (use azure-test-plans).
Expert knowledge for Azure Quantum development, including troubleshooting, best practices, decision making, architecture and design patterns, limits and quotas, security, configuration, and integrations and coding patterns. Use when submitting Q#/OpenQASM jobs, configuring workspaces, using QDK/CLI, or running hybrid quantum workflows, and for other Azure Quantum development tasks.
Expert knowledge for Azure Route Server development, including troubleshooting, best practices, architecture and design patterns, limits and quotas, security, and configuration. Use when designing Route Server topologies, BGP peers and policies, route maps, BGP communities, or capacity limits, and for other Azure Route Server development tasks. Not for Azure Virtual Network (use azure-virtual-network), Azure Virtual Network Manager (use azure-virtual-network-manager), Azure Virtual WAN (use azure-virtual-wan), or Azure VPN Gateway (use azure-vpn-gateway).
Expert knowledge for Azure Virtual Machine Scale Sets development, including troubleshooting, best practices, decision-making, architecture and design patterns, limits and quotas, security, configuration, integrations and coding patterns, and deployment. Use when configuring autoscaling/standby pools, zone balancing, disk encryption with Key Vault, rolling upgrades, or other Azure Virtual Machine Scale Sets-related development tasks. Not for Azure Virtual Machines (use azure-virtual-machines), Azure Kubernetes Service (AKS) (use azure-kubernetes-service), Azure Container Instances (use azure-container-instances), or Azure App Service (use azure-app-service).
Capture a user-reported defect as a durable GitHub issue written in the project's own domain language. Explores the codebase in parallel for context but never leaks file paths or line numbers into the issue. Use when the user reports a bug conversationally, runs a QA pass, or says "file an issue", "log this as a bug", "capture this".
Simplified database tool for metadata queries, SQL execution, nl2sql and similar scenarios on Volcano Engine RDS instances and self-built databases. Use this skill when the user needs to query table structures of Volcano Engine RDS instances and self-built databases, view data, execute SQL, or convert natural language to SQL.
Plans and builds Drupal Canvas navigation UI (main nav, footer links, sidebar nav, mobile drawers, breadcrumbs) using design decomposition for structure and props/slots, then JSON:API menu or page-context patterns from canvas-data-fetching. Use when the user asks for navigation, header or footer links, menus, menu_items, mobile nav, or breadcrumb trails. Run after canvas-design-decomposition for layout and API sketches; follow canvas-data-fetching for SWR, useJsonApiClient, sortMenu, and menu fallbacks.
Not tax or accounting advice. Integrate Cardcom payment processing and Israeli invoice generation into applications, covering Low Profile payments, tokenization, recurring billing, and automatic tax invoice/receipt creation per Israeli law. Use when user asks to accept payments via Cardcom, generate Israeli invoices with payments, set up "slikat ashrai" with hashbonit, handle recurring billing (hora'ot keva), or mentions "Cardcom", "CardCom API", "Low Profile", Israeli payment with invoicing, or needs combined payment plus document generation. Targets the REST API V11. Do NOT use for Tranzila integration (use tranzila-payment-gateway), general accounting, or non-payment queries.
Show AI coding usage insights: cost, tokens, session activity, and breakdowns by member, model, agent, project, product, or prompt quality. Also finds who on a Team (CawPlan product line) hasn't submitted their daily coding report, rolls up a Team's cost, flags high-cost/low-diff sessions, and flags a member's cost growth. Use when: the user asks about coding costs, AI usage stats, team session activity, model spend, agent usage, prompt quality, productivity metrics, which team members haven't submitted/committed a coding report, a Team's total coding cost, sessions with disproportionately high cost vs code changed, or whether someone's coding cost has grown notably. NOT for: submitting reports, creating tickets, product health metrics, or release tracking.
Query one or more CawPlan tickets and show their current details in the conversation. Use when: the user gives or mentions CawPlan issue URLs, display IDs, or ticket unique IDs and wants ticket context. Automatically run when a CawPlan issue URL appears with no other workflow intent, even if the user did not explicitly ask to query ticket context. NOT for: creating tickets, updating tickets, downloading or adding attachments (use cawplan-ticket-attachments), product status reporting, codebase exploration, implementation, file edits, or SQA requirement analysis
Create one or more CawPlan tickets: from an explicit request, or by extracting action items/work items out of pasted long-form text such as a PRD, a Slack discussion, or a meeting transcript (version-scoped by default, or backlog only after user confirmation). Also routes a PRD's platforms (FE/BE/iOS/Android/QA) to different products under one Team, and splits work into sub-tickets under a parent ticket. Use when: the user asks to create or file a ticket, issue, bug, or task in CawPlan; asks to split a ticket into sub-tickets; or pastes a PRD/requirement doc, Slack conversation, or meeting transcript/notes and asks to turn them into tickets, extract action items, or split work into FE/BE/iOS/Android/QA tickets — including when those platforms belong to different products under the same Team. NOT for: updating existing tickets, searching tickets, critical issues, release planning, or SQA requirement analysis and archiving (use `cawplan-requirement-analyze`)
Turn AI-looking UI into a designed interface with its own point of view: audit the tells, write a direction from the product, delete before restyling, fix spacing, color, icons, copy, type, layout and details in order, then give the screen one rich moment only this product could have. Use when a screen looks AI-generated, vibe-coded, generic or templated, when reviewing agent-built UI, or when asked to unslop, de-slop or make something stop looking like AI. Triggers on purple gradients, gradient text, glassmorphism, glows, emoji icons, sparkles, pill badges, centered heroes, three-card and bento grids, greeting headlines, fake proof, uppercase tracked labels, uneven spacing, pulsing elements. For making a screen that is already designed feel finished, use charles-polish.
Generate one or more standalone Meta image-ad creatives via ChatGPT Image 2 (gpt-image-2) through the Arcads external API. Locks the model, auto-strips platform chrome, enforces edge-safe layouts and glyph-safety inside body text. Use when the user asks for a “gpt-image-2 ad,” “ChatGPT Image ad,” “Image 2 ad creative,” “make a static image ad with GPT,” or anchors on a need for typography-heavy / dense-text / UI-mimicry ad creatives (chat threads, comparison tables, fake search results, iOS dialogs, Slack snapshots, ChatGPT-conversation ads, Apple Notes lists). Does NOT trigger on Nano Banana cues — use nano-banana-image-ad for those.
Conduct internal Active Directory reconnaissance using BloodHound Community Edition's graph database with the SharpHound (AD) and AzureHound (Entra ID) collectors, mapping ACLs, sessions, and group memberships into attack paths from a low-privileged foothold to Domain Admin. Use after an initial AD foothold to identify privilege escalation chains, or to validate that AD hardening closed known attack paths
Expert-level data mesh architecture, domain-oriented ownership, data products, federated governance, and self-serve platforms. Use when the user mentions architecture, domain driven, data products, governance, or platform, or when the task involves Data Mesh Principles, Domain-Oriented Data Ownership, Data as a Product, or Self-Serve Data Infrastructure Platform.
DeepBook Margin leveraged trading on Sui. Use when building margin trading applications, understanding leveraged positions, risk ratios, liquidation mechanics, interest rate models, MarginManager lifecycle, or integrating margin trading into a protocol. Also use when the user asks about borrowing against collateral on DeepBook, margin pool parameters, or the differences between spot and margin trading. For spot trading and the DeepBook SDK, see the `deepbook-sdk` skill. For DeepBook architecture and contract addresses, see the `deepbook-overview` skill. For Move smart contract integration, see the `deepbook-move` skill.
Guides writing, reviewing, and debugging Move smart contracts that call DeepBook V3: placing limit or market orders on-chain, creating pools, swapping without a BalanceManager, flash loans, BalanceManager/TradeCap authorization, and composing DeepBook calls in programmable transaction blocks. Use when the user asks about deepbook::pool, place_limit_order, swap_exact_base_for_quote, borrow_flashloan_base, FlashLoan hot potato, TradeProof, TradeCap/DepositCap/WithdrawCap, or adding `deepbook = { mvr = "@deepbook/core" }` to Move.toml.
Guides DeepBook Predict integration on Sui: expiry-based prediction markets where every position is a strike range, minting and redeeming positions, market lifecycle and settlement, order ID handling, and the PoolVault/PLP liquidity pool. Use when the user asks about DeepBook Predict, Sui prediction markets, binary, directional, or range positions, strikes and expiry, quoting, settlement or try_settle, market states, PLP shares, the predict vault, quoteCoinType, or code importing `@mysten/deepbook-v3/predict`. For spot trading use the `deepbook-sdk` skill; for margin, `deepbook-margin`; for architecture, `deepbook-overview`.
Manage your Dex personal CRM — search, filter, create, archive, and update contacts; log notes; manage follow-ups, tags, groups, and custom fields; search connected email; and read or manage connected calendars. Use this skill to: (1) Find, add, or update contacts, (2) Log meetings and notes, (3) Manage reminders and keep-in-touch cadence, (4) Organize tags, groups, and custom fields, (5) Merge or archive contacts, (6) Review relationships or prepare meetings, (7) Search correspondence, (8) Manage calendar events, (9) Categorize, audit, or clean a network, (10) Turn notetaker output or transcripts into notes and follow-ups, (11) Prepare multiple meetings or event follow-up, (12) Research a contact on the public web, (13) See what is coming up — upcoming birthdays, due reminders, and who to reach out to, (14) Rank relationships into the user's priority tiers, (15) Authenticate via /dex-login, or handle another personal CRM task involving the user's professional network.
Validate and generate applies_to tags in Elastic documentation, including for cumulative docs across versions and deployment types. Use when writing new docs pages, reviewing existing pages for correct applies_to usage, deciding whether to preserve or replace existing version-scoped content, or when content changes lifecycle state (experimental, preview, beta, GA, deprecated, removed).
Suggest improved text for changelog YAML files against current Elastic standards. Mirrors the pattern catalog from docs-review-changelog to provide consistent fixes. Includes type-title alignment, product/surface context for titles, description verb tense (third-person present), and technical content assessment. Features repository-aware area validation and enhanced confidence scoring. Supports single files or directories. Fetches canonical guidance to stay in sync. Use after review identifies quality issues, or when drafting new changelogs.
Audit Elastic documentation files for frontmatter completeness and correctness. Checks products, description, and navigation_title fields across a directory. Use when the user asks to audit docs metadata, check frontmatter quality before publishing, validate a batch of files, or when a docs review runs.
Chinese Word document formatting toolkit for .docx/.doc/.wps workflows. Use when Codex needs to diagnose document formatting, fix mixed Chinese/English punctuation and spacing, apply official/academic/legal/custom presets, normalize tables and page numbers, preserve or output Word revision marks, convert plain text or Markdown into formatted DOCX, or batch/script document cleanup for Chinese official documents.
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.