Skills
97,725 packaged capabilities and playbooks for agents. Install any of them with one command.
Development
Interactively prepare a code repository for publication — LICENSE, NOTICE, AUTHORSHIP, README sections, package metadata, .gitignore, community docs (CONTRIBUTING/CODE_OF_CONDUCT/SECURITY/CHANGELOG), .github templates (issues/PR/CI/dependabot), a promo "more from the author" block, and conditional EU/Germany legal compliance (CRA, AI Act, GDPR, Impressum, product liability). Includes a dedicated authorship wizard that documents human decisions, judgment, direction, and art direction with jurisdiction-aware legal framing. Use when setting up a new repo for release, adding missing legal/meta/community files, writing an AUTHORSHIP record for AI-assisted work, or asking "prepare this repo for GitHub / open-sourcing".
Invoke when goal-clarifier analyzes user requirements to extract goals and constraints. Provides structured requirement decomposition into functional/non-functional categories, stakeholder mapping, assumption identification, and documentation format.
Reverse engineer Xamarin and .NET MAUI mobile apps by extracting assemblies.blob and XALZ-compressed DLLs with pyxamstore, then decompiling with dnSpy or ILSpy. Use when an APK contains libmonodroid.so, libmonosgen, assemblies.blob, assemblies/*.dll, or libxamarin-app.so, when an IPA contains Mono assemblies, or when jadx shows only Xamarin bootstrap classes.
Moves the @backstage/* dependency versions of a Backstage plugin, workspace, app, or the redhat-developer/rhdh monorepo forward to a chosen release, staying within what a Red Hat Developer Hub version ships: read backstage.json and package.json, pick the target from the RHDH compatibility matrix or an explicit version, run versions:bump and versions:migrate, preserve the repository's dependency range style, audit stale resolutions, work through release changelogs, and re-verify the repository. Use for "upgrade @backstage dependencies", "bump Backstage in rhdh", "versions:bump", "which Backstage version does RHDH 1.8 ship", moved package namespaces, or dependencies that are too old for the API they need.
Writes Backstage plugin source for Red Hat Developer Hub in rhdh-plugins or community-plugins: scaffold a backend dynamic plugin with createBackendPlugin or createBackendModule from @backstage/backend-plugin-api, scaffold a frontend dynamic plugin, and implement features against Backstage UI (@backstage/ui), MUI, Scalprum bundles, fetchApi, i18n, and the Backstage test utilities. Use for "scaffold a backend dynamic plugin", "create a frontend dynamic plugin", "implement this plugin feature", entity cards, scaffolder actions, catalog processors, backend extension points, renderInTestApp and TestApiProvider tests, dev app setup, and the local build gates yarn tsc:full and yarn build:api-reports:only.
Reports what is still open against an RHDH release from Jira RHIDP, RHDHPLAN, RHDHBUGS, and RHDHSUPP: issue counts by type, blocker bugs, CVEs, Engineering EPICs, per-team breakdowns, release-note lifecycle, Post Code Freeze scope, and any query in the RHIDP Operational Rich Filter export. Also reports readiness at the Feature and Program Increment level: PI funnel, feature status matrix, stretch features, epic roll-up, cross-team dependency map, per-Feature coherence, and risk assessment. Use for "release status for 1.10", "what's blocking 1.10.3", "are we ready to ship 1.10", or "PI funnel for 2.1".
Roblox Rojo project workflow for understanding, maintaining, and syncing Roblox codebases managed with Rojo, Wally, or Aftman. Use when a Roblox project has default.project.json, *.project.json, wally.toml, aftman.toml, sourcemap.json, src folders, or the user asks about Rojo, Wally, Studio sync, generated place/model files, or Roblox repo structure.
Design a Rust public API — trait design, generics versus dyn, sealed traits, what is exported, and which changes break semver. Use when designing or reviewing a crate public surface, when choosing between a generic parameter and a trait object, when adding a trait method or enum variant to a released crate, or when the user asks whether a change is a breaking change.
Review Rust changes on two axes at once — standards (idioms, ownership, errors, API surface, unsafe) and spec (does the change do what was asked) — with a Rust smell baseline layered on the repo lint configuration. Use when reviewing a Rust diff, pull request, or branch, when asked whether a change is ready to merge, or when a review needs to cover more than what clippy already reports.
Pick the concurrency model from the workload shape — rayon for data parallelism, scoped threads for borrowed stack data, channels for handoff, shared state last — and use the weakest correct atomic ordering. Use when writing or reviewing threaded Rust, when Mutex, RwLock, atomics, or manual Send/Sync appear, when a deadlock or data race is suspected, or when the user asks how to parallelize Rust code.
This skill should be used when the user asks to "design system architecture", "evaluate microservices vs monolith", "create architecture diagrams", "analyze dependencies", "choose a database", "plan for scalability", "make technical decisions", or "review system design". Use for architecture decision records (ADRs), tech stack evaluation, system design reviews, dependency analysis, and generating architecture diagrams in Mermaid, PlantUML, or ASCII format.
World-class computer vision skill for image/video processing, object detection, segmentation, and visual AI systems. Expertise in PyTorch, OpenCV, YOLO, SAM, diffusion models, and vision transformers. Includes 3D vision, video analysis, real-time processing, and production deployment. Use when building vision AI systems, implementing object detection, training custom vision models, or optimizing inference pipelines.
Serves LLMs with high throughput using vLLM's PagedAttention and continuous batching. Use when deploying production LLM APIs, optimizing inference latency/throughput, or serving models with limited GPU memory. Supports OpenAI-compatible endpoints, quantization (GPTQ/AWQ/FP8), and tensor parallelism
Fast structured generation and serving for LLMs with RadixAttention prefix caching. Use for JSON/regex outputs, constrained decoding, agentic workflows with tool calls, or when you need 5× faster inference than vLLM with prefix sharing. Powers 300,000+ GPUs at xAI, AMD, NVIDIA, and LinkedIn.
Shellcode Loader combination generation: select and combine storage/allocator/copier/executor components from the knowledge base to generate a C/C++/Rust Loader. Use when you already have shellcode and need to generate a Loader binary that runs in the target environment. First read references/loader-scenarios.json to confirm no duplicate scenario exists, then choose a combination of the 4 components to generate
Safely disassemble SillyTavern character cards from JSON or PNG into sandboxed, reviewable components, and design or maintain registry-driven component libraries and recipes. Use when extracting a card, modularizing worldbook, MVU, regex, helper-script, message, or embedded UI content, tracing a coupled variable-field chain, declaring embedded/host/remote/regional runtime dependencies, resolving component dependencies or conflicts, validating a source-to-artifact round trip, or promoting a proven version back into a shared component library. Do not use for routine packaging of an already-defined release; use sillytavern-card-pipeline instead.
Design, implement, or review framework-neutral embedded interfaces for SillyTavern rolecards, including message content pages, opening pages, MVU status bars, control centers, drawers, and popups. Use for creative visual design, message-to-page protocols, state-to-display mapping, HTML/CSS/JavaScript, interaction states, responsive behavior, accessibility, safe rendering, optional project-specific frontend sandboxes using real source, and the real-runtime handoff. Do not use as the primary skill to close behavior in a live SillyTavern instance; hand that work to sillytavern-runtime-debug.
Shortens file and folder names and groups related code so paths stay scannable. Folder context carries the noun; leaf files stay short verbs or aspects; related modules sit together. Use when the user asks to simplify names, shorten paths, or make a package or feature layout easier to scan — not for cohesion-only splits that keep descriptive names, broad boundary or scalability migrations, or general smell cleanup.
Process-based discrete-event simulation framework in Python. Use this skill when building simulations of systems with processes, queues, resources, and time-based events such as manufacturing systems, service operations, network traffic, logistics, or any system where entities interact with shared resources over time.
Build Slack Block Kit UIs for messages, modals, and Home tabs. Use when creating Slack notifications, interactive forms, bot responses, app dashboards, or any Slack UI. Covers blocks (Section, Actions, Input, Header), elements (Buttons, Selects, Date pickers), composition objects, and the slack-block-builder library.
Unified router for 7 canonical software engineering knowledge bases. Routes queries to appropriate underlying skills: gof-patterns (23 design patterns), clrs-algorithms (40 data structures), clean-code (SOLID + practices), ddia (distributed systems), pragmatic-programmer (craftsmanship), ddd (domain modeling), sicp (CS fundamentals). Auto-activates for architecture decisions, pattern selection, algorithm choice, and system design.
Apply SOLID principles to write flexible, maintainable, and testable code. Use when designing classes, interfaces, and module boundaries. Covers Single Responsibility, Open/Closed, Liskov Substitution, Interface Segregation, and Dependency Inversion with practical TypeScript examples and detection heuristics.
SparkScan single-barcode scanning with the pre-built scanning UI (`SparkScanView` component) in React Native projects. Use for integration, scan settings, result handling, UI customization, SDK version migration, replacing a third-party scanner (expo-camera, react-native-vision-camera), or troubleshooting.
Generates Spartan/ng UI code and guidance for Angular projects using @spartan-ng/helm (styled components copied into the repo) and @spartan-ng/brain (headless primitives). Covers installation, Tailwind v4 theming, component usage across all categories (forms, overlays, layout, display, data), Brain primitives, ReactiveForms / Signal Forms integration, and accessibility. Use when the user mentions Spartan, spartan-ng, @spartan-ng, hlm-* or brn-* components, OR when the Angular project's package.json contains @spartan-ng/* dependencies. Pairs with angular-developer for Angular fundamentals.
Accelerate LLM inference using speculative decoding, Medusa multiple heads, and lookahead decoding techniques. Use when optimizing inference speed (1.5-3.6× speedup), reducing latency for real-time applications, or deploying models with limited compute. Covers draft models, tree-based attention, Jacobi iteration, parallel token generation, and production deployment strategies.
Use this skill for reinforcement learning tasks including training RL agents (PPO, SAC, DQN, TD3, DDPG, A2C, etc.), creating custom Gym environments, implementing callbacks for monitoring and control, using vectorized environments for parallel training, and integrating with deep RL workflows. This skill should be used when users request RL algorithm implementation, agent training, environment design, or RL experimentation
Passive skill enforcing strong typing when writing or reviewing PHP, TypeScript, Python, C#, Kotlin, Go, Rust, or other typed code. Bans any/mixed, untyped signatures, blind ??/|| fallback chains; prefers DTOs, enums, generics, strict flags. Do NOT force typing onto untyped languages.
Sveltia CMS, a lightweight Git-backed headless CMS and modern successor to Decap/Netlify CMS (about 300 KB bundle, GraphQL-based). Covers admin/config.yml collection config, YAML and TOML frontmatter, OAuth setup including a Cloudflare Workers OAuth proxy, i18n with DeepL translation, image optimization, and deployment on Cloudflare Pages, Netlify, Vercel, or GitHub Pages. Framework-agnostic across Hugo, Jekyll, 11ty, Gatsby, Astro, SvelteKit, and Next.js. Use when adding a Git-based editing interface to a static site for non-technical editors, migrating from Decap or Netlify CMS, or fixing OAuth authentication failures, YAML parse errors, CORS/COOP policy problems, content not listing, script loading errors, or image upload failures.
This skill manages all documentation for the Synapse A2A project. It should be used when code changes require documentation updates, when checking documentation consistency, or when manually invoked via /synapse-docs. Triggers automatically when modifying files in synapse/, plugins/, or templates/ directories, and when README.md, guides/, or docs/ need updates.
Implements the Syncfusion ASP.NET MVC PDFViewer for embedding, configuring, and loading PDF documents. Use this when rendering PDFs in ASP.NET MVC applications, embedding viewer controls, or generating Razor page (.cshtml) code for PDF display and interaction.
Guide for implementing the Syncfusion WinUI Ribbon control (SfRibbon) to organize application commands into tabs and groups, similar to Microsoft Office. Use this when working with ribbon-based navigation, Quick Access Toolbar (QAT), or backstage menus. This skill covers ribbon setup, tab and group configuration, keyboard navigation (KeyTip), and ScreenTip tooltips.
Build, review, debug, migrate, or plan TanStack Form v1 React forms (1.33.x) with current docs, plus v2 alpha migration planning. Use for @tanstack/react-form, @tanstack/form-core, useForm, form.Field, createFormHook, createFormHookContexts, withForm, withFieldGroup, formOptions, form.Subscribe, useSelector, useStore, validators, Standard Schema validation, Zod, Valibot, ArkType, Effect Schema, async validation, dynamic validation, array fields, FormGroup, linked fields, listeners, SSR, TanStack Start, Next.js, Remix, devtools, UI libraries, accessibility, production form composition, and v1-to-v2 alpha migration (ArrayField, validator arrays with triggers, ReactFormType, defineFieldGroup).
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.