Skills
98,873 packaged capabilities and playbooks for agents. Install any of them with one command.
Development
Migrates a Capacitor app from Capawesome Cloud live updates (@capawesome/capacitor-live-update, LiveUpdate.ready/sync/setNextBundle/reload, plugins.LiveUpdate config with appId, autoUpdateStrategy, defaultChannel, readyTimeout, publicKey, and @capawesome/cli bundle upload commands) to Capgo Updater (@capgo/capacitor-updater). Covers the package swap, config and API mapping, the notifyAppReady startup hook, deleting custom update glue, replacing CI upload commands, overlap with devices still on old binaries, verification, and Capgo positioning (native updater runtime, open source, cheaper at comparable scale, longer track record). Do not use for Ionic Appflow (ionic-appflow-migration), a fresh Capgo setup (capgo-live-updates), channel and rollout strategy after migration (capgo-release-workflows), or Capawesome plugins unrelated to live updates.
This skill should be used when the user asks to "design a CLI", "improve command structure", "format terminal output", "review CLI usability", "design help text", or "add flags and arguments". Automatically activates when designing new CLI tools, improving command interfaces, formatting terminal output, or reviewing CLI usability. Not for GUI/web design, backend APIs, or shell scripting.
Reapply and repair Windows Codex Desktop after Store upgrades, including custom provider models hidden by Statsig available_models filtering, the dependent blue-purple Power slider and its Ultra toggle, Fast Mode request/UI gates, locale i18n, plugin UI gates, Chrome/browser_use gates, Goal command gates, Windows Computer Use availability gates and plugin/runtime repair, phone remote-control pairing under third-party/API-key main app usage, Desktop dynamicTools/inputSchema thread-start schema drift, local conversation visibility recovery after model_provider switches, restored-conversation missing-cwd continuation repair, ASAR integrity repair, signing/installing patched MSIX packages, SDK cleanup, Fast Mode wire verification, local plugin marketplace registration, and optional custom model_instructions_file setup (the bundled system prompt, also called 听话水).
Use when writing, changing or reviewing code that touches the house contract for Jetpack Compose and Compose Multiplatform apps: module graph, MVI/BaseViewModel, error tiers, state ownership, naming, Koin DI, Navigation 3 and coroutines. The compose skill is the entry point. Do NOT use for Gradle-only work (compose-project), new screens (compose-feature), composable-only work (compose-ui), repositories or persistence (compose-data), or expect/actual splits (compose-platform).
Owns project and build-level work for Compose and Compose Multiplatform apps: bootstrapping a new project, adopting the kit in an existing project, adding or extracting a module, convention plugins in build-logic, the version catalog, and CI plus agent hooks. Use when starting a Compose Multiplatform app, adding a module, or editing settings.gradle.kts, build.gradle.kts, build-logic, libs.versions.toml, or packaging. Do NOT use for routing and architecture choices (compose-architecture), feature code (compose-feature), repositories and persistence (compose-data), composables or resources (compose-ui), or commonMain vs platform code (compose-platform).
Build role-based multi-agent systems with CrewAI. Agents with Role/Goal/Backstory, task design, crew composition (sequential or hierarchical), tool integration, callbacks, and production deployment. Use when orchestrating multi-agent teams or comparing agent frameworks. Do not use this skill for unrelated requests; route to the nearest named specialist.
ASP.NET Core Data Protection API patterns for encryption, key management, and secure data handling in web applications. Use when protecting sensitive data at rest or in transit, managing encryption keys in ASP.NET Core applications, or implementing secure token generation and validation.
Execute database migrations across ORMs and platforms with zero-downtime strategies, data transformation, and rollback procedures. Use when migrating databases, changing schemas, performing data transformations, or implementing zero-downtime deployment strategies.
A comprehensive skill for creating new ddd4j (Domain-Driven Design for Java) projects based on ddd4j-boot framework. Use ONLY when the user explicitly mentions creating a ddd4j project, initializing ddd4j project, or setting up ddd4j-boot project. Supports three project types: single-module monolith, multi-module monolith, and microservices.
Extract a single Figma component (or any node) as a full recursive tree to N levels deep — every child's layout, fills/strokes/effects, typography, resolved bound variables (token names + code syntax), INSTANCE mainComponent references, prototype reactions, and annotations. Use when you need maximum-fidelity data to generate production code for ONE component — triggers: 'get the full component tree', 'deep extract this component', 'give me everything about this node for code gen', 'resolve all the tokens in this component', 'what instances does this component nest', 'extract reactions/prototype links', 'high-fidelity component spec'. Resolves bound variables to token names on ANY plan. Far deeper than the native MCP's get_design_context / get_metadata.
Provides PyTorch-native distributed LLM pretraining using torchtitan with 4D parallelism (FSDP2, TP, PP, CP). Use when pretraining Llama 3.1, DeepSeek V3, or custom models at scale from 8 to 512+ GPUs with Float8, torch.compile, and distributed checkpointing.
Implement distributed tracing with Jaeger and Tempo to track requests across microservices and identify performance bottlenecks. Use when debugging microservices, analyzing request flows, or implementing observability for distributed systems.
Converts PRD and Tech Spec into a detailed, sequenced list of implementation tasks. Each task is a functional, incremental deliverable with its own test suite. Outputs tasks.md and individual task files. Use when the user asks to create tasks, break down work, or plan implementation from an existing PRD and Tech Spec. Do not use for PRD creation, tech spec creation, or actual code implementation.
Shows current progress of a PRD — completed tasks, next pending task, completion percentage, and missing artifacts. Use when the user asks for status, progress, what's next, or wants to resume work on a feature. Read-only skill — does not modify any files. Do not use for task implementation, review, or QA.
Excel data reading skill based on Alibaba EasyExcel (com.alibaba:easyexcel:4.0.3). Covers listener mode (ReadListener/AnalysisEventListener/PageReadListener), synchronous reading (doReadSync), multi-sheet reading, @ExcelProperty(index/name) matching, multi-row headers (headRowNumber), custom converters for dates and numbers (@DateTimeFormat/@NumberFormat/Converter), listener exception handling (onException + ExcelDataConvertException), reading extra information (comments/hyperlinks/merged cells, extraRead + CellExtra), formulas and cell types (CellData<T>), reading without creating objects (ReadListener<Map<Integer,String>>), and web upload reading (MultipartFile→InputStream). Use this skill when the user needs to parse Excel (import data/bulk insert/reconciliation files/user uploads/Excel to objects/Excel to Map). Not for filling in pre-made templates (use easyexcel-fill instead), and not for programmatically generating Excel (use easyexcel-write instead).
Excel data writing skill based on Alibaba EasyExcel (com.alibaba:easyexcel:4.0.3). Covers the simplest writes (3 variants), complex headers (multi-level), @ExcelProperty/@ExcelIgnore/@DateTimeFormat/@NumberFormat annotations, column selection with includeColumn/excludeColumn, @ColumnWidth/@ContentRowHeight style annotations, custom styles with @HeadStyle/@ContentStyle, merged cells (@ContentLoopMerge/LoopMergeStrategy), image export (File/InputStream/URL/byte[]), hyperlinks/comments/formulas/rich text (WriteCellData), dynamic headers, auto column width, custom interceptors (CellWriteHandler/SheetWriteHandler/RowWriteHandler), paged and batched writes, writing directly to OutputStream for web downloads, and 03/07 format compatibility. Use this skill when the user needs to programmatically generate Excel (without a pre-made template) to export structured data such as orders/users/finance/inventory/reports/statements/approval forms; not for filling a pre-made template (use easyexcel-fill instead) and not for reading Excel (use easyexcel-read instead).
Use this skill when building an Elixir macro or a declarative DSL — a schema/spec/route/workflow language in the shape of Ecto.Schema, Absinthe, Plug.Router, or ExUnit — with quote/unquote, __using__, module attributes, and @before_compile. It corrects the wrong defaults a model makes once it commits to metaprogramming — putting logic inside the quote block, re-evaluating unquoted expressions, forgetting Macro.escape, fighting hygiene with var!, generating code ad hoc instead of accumulating declarations, and validating the DSL at runtime rather than at compile time. Applies to writing or reviewing macro/DSL code. NOT for deciding whether to use a macro at all — that gate belongs to staff-level-elixir and adversarial-elixir, which say prefer plain functions.
Expert on the history, origin, and correct use of the em dash. Use when writing or reviewing code, comments, or data files to avoid em and en dashes, defaulting to never using them and replacing any found with a hyphen (-). Includes strong knowledge of punctuation marks and the proper usage of punctuation characters when writing comments.
Design and evolve enterprise architectures by connecting business capabilities, value streams, applications, information, technology, operating models, and transition choices. Use when mapping an enterprise portfolio, comparing current and target states, sequencing transition architectures, or defining federated architecture decision rights and stakeholder communication. Do not use for system or solution design, API or data-platform design, organizational or talent design, product roadmaps, technology adoption, or corporate strategy; route those to the named specialist skills.
Dual skill for deploying scientific models. FastAPI provides a high-performance, asynchronous web framework for building APIs with automatic documentation. Streamlit enables rapid creation of interactive data applications and dashboards directly from Python scripts. Load when working with web APIs, model serving, REST endpoints, interactive dashboards, data visualization UIs, scientific app deployment, async web frameworks, Pydantic validation, uvicorn, or building production-ready scientific tools.
Use the minimal FlareSolverr wrapper for a one-off health check or browser-backed GET/POST when ordinary retrieval is blocked by Cloudflare or DDoS-GUARD. Choose flaresolverr-cli instead for named session lifecycle, cookie-only returns, dry-run planning, or the full operational command surface. Do not use this skill for unrelated requests; route to the nearest named specialist.
Provides comprehensive guidance for Flutter development including widgets, state management, navigation, platform channels, and mobile app development. Use when the user asks about Flutter, needs to create Flutter applications, implement Flutter widgets, or work with Flutter features.
Run a structured post-mortem analyzing what went well, what went wrong, and extractable lessons. Pulls git history, milestone data, and retrospective notes automatically. Triggers on: "post-mortem", "project review", "what did we learn", "lessons learned", or when a major milestone or project is complete. Do NOT invoke for sprint-level retrospectives (use game-retrospective) or design reviews (use game-design-review). Part of the AlterLab GameForge collection.
Invoke when the user needs to plan a development sprint, break down tasks, schedule game work, or organize a sprint with cross-discipline dependencies. Triggers on: "sprint plan", "task breakdown", "development planning", "scheduling", "sprint backlog". Do NOT invoke for scope evaluation (use game-scope-check) or retrospectives (use game-retrospective). Part of the AlterLab GameForge collection.
Use when generating a Terraform provider from an OpenAPI spec with Speakeasy. Covers entity annotations, CRUD mapping, type inference, workflow configuration, and publishing. Triggers on "terraform provider", "generate terraform", "create terraform provider", "CRUD mapping", "x-speakeasy-entity", "terraform resource", "terraform registry".
GitHub source code reading assistant. Use when the user provides a GitHub repository link and wants the source code explained, the underlying principles understood, the architecture analyzed, a study report or getting-started document generated. Generates two documents in the working directory: a source code walkthrough and a getting-started guide. By default it delivers a first draft without automatically reviewing it; follow-up review is arranged only if the user explicitly agrees. Not applicable when merely cloning a repository or when only a one-line summary is needed.
Create and maintain an Obsidian-style graph memory bank in a code repository: small atomic Markdown nodes with YAML frontmatter, cross-links, explicit backlinks, and release/entity-driven coverage for fast AI-agent context retrieval. Use when asked to build/upgrade a 'memory bank', 'graph memory', 'obsidian docs', 'суперсвязанную графовую документацию', or when you need structured docs under docs/ that let an AI agent pull minimal but precise context.
Channel the grug brained developer to give practical, hard-won software wisdom in grug's distinctive voice. Trigger this skill whenever the user says "/grug", "/grugmode", "grug mode", "grug take", "what would grug say", "give me the grug perspective", or asks for a simple/pragmatic/no-nonsense take on a software problem. Also trigger when the user asks to "think like grug", "be grug", or references "grug brain" in any way. This skill applies to any software topic: architecture, testing, refactoring, APIs, tooling, type systems, abstractions, frameworks, complexity, career decisions, code review, debugging, frontend vs backend, etc. When in doubt and the user seems to want blunt cave-developer wisdom, use this skill.
Develop Home Assistant add-ons with Docker, Supervisor API, and multi-arch builds. Use when creating add-ons, configuring Dockerfiles, setting up ingress, or publishing to repositories. Activates on keywords: add-on, addon, supervisor, hassio, ingress, bashio, docker.
Generate, refactor, run, and review HALCON HDevelop (`.hdev`) and HDevelopEVO (`.hscript`) programs with accurate operator usage, parameter defaults, value ranges, and practical vision pipelines. Use when the user asks for HDevelop or HScript code, operator selection, debugging logic, converting requirements into vision scripts, or building reusable procedures.
Build production search and NLP pipelines with Haystack. Pipeline DAG composition, document stores, retrievers, PromptBuilder (Jinja2), generators, evaluation, Hayhooks deployment. Use when building search pipelines or comparing NLP application frameworks. Do not use this skill for unrelated requests; route to the nearest named specialist.
Expert guidance on Hummingbird 2 web framework. Use when developers mention: (1) Hummingbird, HB, or Hummingbird 2, (2) Swift web server or HTTP server, (3) server-side Swift routing or middleware, (4) building REST APIs in Swift, (5) RequestContext or ChildRequestContext, (6) HummingbirdAuth or authentication middleware, (7) HummingbirdWebSocket, (8) HummingbirdFluent or database integration, (9) ResponseGenerator or EditedResponse.
Hybrid app (native shell + WebView/WKWebView/Electron + H5) full-stack debugging methodology — forces analysis across four layers (web runtime, native-web bridge, native config, platform runtime) instead of stopping at a single layer, preventing whack-a-mole surface fixes. Use when debugging hybrid app UI/theme/behavior issues, especially platform discrepancies (one platform reproduces, the other does not), repeated single-end fix failures, or silent failures involving native-H5 communication, theme switching, or platform runtime behavior. Triggers — 「hybrid 调试」「跨端调试」「全链路调试」「平台差异调试」「WebView 问题」「WKWebView 问题」「native 和 H5 交互问题」「单端修复失败」「跨端主题问题」「跨端样式不一致」 / hybrid debug, cross-platform debug, webview issue, native-web bridge, full-stack debugging, RN/Electron debugging.
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.