Skills
96,981 packaged capabilities and playbooks for agents. Install any of them with one command.
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Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics. Use when choosing between coding agents, or when a change to an agent setup needs measured pass rate, cost, and time rather than an impression.
Decompose complex tasks, design dependency graphs, and coordinate multi-agent work with proper task descriptions and workload balancing. Use this skill when breaking down work for agent teams, managing task dependencies, or monitoring team progress.
When msw-search cannot find a suitable sprite RUID, draw a pixel art sprite directly with SVG / HTML5 Canvas / HTML code, render it to PNG, and upload it via the msw-mcp asset upload tool to obtain a sprite RUID (if no upload tool is connected, guide the user to register it through Maker). Two style modes are supported: chunky pixel (retro / icon / tile feel) and maple cartoon (MapleStory-inspired character / NPC feel). Triggers: draw sprite directly, create sprite, image generation, custom graphic, pixel art, cartoon sprite, maple style, chibi character, painter, draw a sprite, make an icon, create NPC image directly, draw a slime, custom sprite.
Review code changes for security, performance, and correctness. Trigger with a PR URL or diff, "review this before I merge", "is this code safe?", or when checking a change for N+1 queries, injection risks, missing edge cases, or error handling gaps.
Codified expertise for production scheduling, job sequencing, line balancing, changeover optimization, and bottleneck resolution in discrete and batch manufacturing. Informed by production schedulers with 15+ years experience. Includes TOC/drum-buffer-rope, SMED, OEE analysis, disruption response frameworks, and ERP/MES interaction patterns. Use when scheduling production, resolving bottlenecks, optimizing changeovers, responding to disruptions, or balancing manufacturing lines.
Power BI semantic modeling assistant for building optimized data models. Use when working with Power BI semantic models, creating measures, designing star schemas, configuring relationships, implementing RLS, or optimizing model performance. Triggers on queries about DAX calculations, table relationships, dimension/fact table design, naming conventions, model documentation, cardinality, cross-filter direction, calculation groups, and data model best practices. Always connects to the active model first using power-bi-modeling MCP tools to understand the data structure before providing guidance.
Ingest, index, search, edit, and monitor video and audio with the VideoDB Python SDK—upload from files, URLs, or RTSP feeds, build spoken and scene indexes with timestamped search and playable clips, transcode and reframe, do timeline edits (subtitles, overlays, dubbing), and run real-time alerts on live streams or desktop capture. Use when working with video search, transcription, clipping, transcoding, streaming, or live video alerts.
Operate and extend NanoClaw, ECC's zero-dependency session-aware REPL, with persistent markdown-backed sessions and slash commands for model switching, skill loading, session branching, cross-session search, history compaction, and export. Use when running or extending scripts/claw.js, or when resuming, branching, compacting, searching, or exporting a NanoClaw session.
MSWPackages catalog — official 1st-party prebuilt packages for common MSW features. Use this skill BEFORE writing a feature from scratch when the user asks for any standard game system (toast/notification, ranking/leaderboard, inventory/equipment, shop/store, world shop, mail, quest/achievement, dialog/NPC conversation, key binding, game event broadcast, player data/save, collection/dex, slash command, scrollview/virtualized list, drop table, global config, GM message, resource/currency, UI components). Always check the catalog first; if a package matches the requested feature, fetch its README and propose integrating instead of building from zero. Keywords: MSWPackages, package, prebuilt, integration.
Generates operational guidance for CI/CD deployment pipelines, observability, monitoring, logging, and incident management on Google Cloud based on the design principles and recommendations in the Operational Excellence pillar of the Google Cloud Well-Architected Framework (WAF). Use when the user asks about operations-related topics like capacity management, change management, incident and problem management, configuration management, deployment automation using infrastructure as code (IaC), or operational health checks for Google Cloud workloads.
MSW `.ui` single entry point — design + component API + builder + runtime. Anchor/pivot/RectTransform, UIGroup/CanvasGroup hierarchy, layout recipes (HUD/popup/toast/menu/inventory/scroll-list/ranking/leaderboard/quest list/friend list/mailbox), full API tables for ButtonComponent/TextGUIRendererComponent/SpriteGUIRendererComponent/ScrollLayoutGroup/GridView/TextInput/Slider/Mask/AvatarGUIRenderer + UI enums (AlignmentType/TextOverflowMode/ImageType/FillAmount), `.mlua` runtime patterns (popup open-close, toast, HP bar, GridView, drag, tab, cooldown, world nametag), UI-client-only caveats (nil on server, no RPC), `.ui`↔`.mlua` UUID auto-binding (write+injectBindings), resolution/safe-area/touch. UIBuilder (msw_ui_builder.cjs): all node types (empty/panel/text/sprite/button/slider/scrollLayout/textInput/group/mask/gridView/avatar/skeleton etc.), component add/replace/patch/remove, 13 anchor presets+stretch, auto-inject .mlua UUID bindings after write.
Summarizes WeChat group chat highlights into a structured digest using the local wx-cli binary (https://github.com/jackwener/wx-cli). Generates a normal digest by default; a roast (毒舌) version is opt-in. Maintains per-group history (history.json + history-digests.jsonl), per-user profiles, and per-group fact memory (memory.md) across runs, with privacy guardrails baked in. Use when the user asks to "总结群聊", "群聊精华", "群聊摘要", "summarize group chat", "group chat digest", mentions a WeChat group name with a time range, says "帮我看看 XX 群最近聊了什么", "XX 群有什么值得看的", or asks to "回溯画像" / "初始化画像" / "backfill profiles". Adds the roast version when the user says "毒舌版", "roast 版", "再来个毒舌的", or similar.
Manage truckload, LTL, and intermodal carrier portfolios: sourcing and FMCSA vetting, freight rate and fuel-surcharge negotiation, RFPs and routing guides, carrier scorecards, allocation, and renewals. Use when onboarding carriers, running freight RFPs, negotiating rates, evaluating carrier performance, reallocating freight, or building freight strategy.
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.
SpriteRendererComponent.SpriteRUID (world) and SpriteGUIRendererComponent.ImageRUID (UI) — native RUID type support (sprite / animationclip direct playback), thumbnail:// prefix for rendering avataritem / skeleton / animationclip as static thumbnail image, avatar item icon in inventory / shop / UI slot. Use when: assigning any RUID to a sprite renderer component, displaying an avatar item or resource as a thumbnail or icon, using animationclip directly in a renderer, rendering inventory item icons, displaying a thumbnail image in a world entity. Keywords: SpriteRUID, ImageRUID, thumbnail://, animationclip, RUID apply, RUID assign, thumbnail, item icon, sprite RUID, RUID to renderer
Procure electricity and natural gas for commercial and industrial facilities: tariff and rate-schedule optimization, demand-charge mitigation, supplier RFPs, fixed/index/block-and-index hedging, renewable PPA and REC evaluation, and sustainability reporting. Use when procuring energy, optimizing utility tariffs, managing demand charges, evaluating PPAs, or building energy budgets and hedge strategies.
JetBrains Exposed ORM patterns, including DSL queries, DAO patterns, transactions, HikariCP connection pooling, Flyway migrations, and repository patterns. Use when working with the Exposed ORM, including DSL or DAO queries, transactions, pooling, or migrations.
Convert Markdown files to HTML similar to `marked.js`, `pandoc`, `gomarkdown/markdown`, or similar tools; or write custom scripts to convert markdown to html and/or work on web template systems like `jekyll/jekyll`, `gohugoio/hugo`, or similar web templating systems that use markdown documents and convert them to html. Use when asked to "convert markdown to html", "transform md to html", "render markdown", "generate html from markdown", or when working with .md files and/or a web templating system that converts markdown to HTML output. Supports CLI and Node.js workflows with GFM, CommonMark, and standard Markdown flavors.
Authors MSW `.behaviourtree` files end-to-end and maintains the project-specific authoring spec (`.behaviourDocs/bt-spec.md`). Scans every `.codeblock` whose paired `.mlua` extends `ActionNode`/`DecoratorNode`/`CompositeNode` to build a compact catalog of custom action/decorator/composite UUIDs, propertyKey names, and version-stamped MODNativeType strings. Then generates the full tree: RootNode → Nodes graph, Blackboard variables, nodeProperties wiring, and self-validates parent/child consistency. Triggers: 'create behaviourtree', 'new BT', 'add a behaviour tree', 'BT node graph', '비헤이비어 트리 만들어', '.behaviourtree 생성', 'SequenceNode SelectorNode', 'Blackboard variable', 'definitionId codeblock', 'startNodeId', 'build BT spec', 'refresh bt-spec', 'generate behaviourtree catalog', 'BT 스펙 생성', 'bt-spec.md 만들어', 'rescan BT nodes'.
Codified freight-exception handling expertise for shipment delays, damages, losses, shortages, and carrier disputes, with escalation protocols, carrier-specific behaviors by mode, claims procedures, and eat-the-cost vs fight-the-claim judgment frameworks. Use when handling shipping exceptions, freight claims, delivery issues, or carrier disputes.
Invoke the `slack-cli` binary to read and act on a Slack workspace from the command line — list channels, read/search conversation history and threads, fetch unread messages, search users, manage user groups, post messages, add reactions, mark channels read, and manage saved items. Use whenever a task needs Slack data or actions, such as "what are the unread messages in #incidents", "search Slack for the deploy thread", "who is @alice", "post a message to #general", "list channels matching X", "react with :rocket: to that message", "what did the team say about Y", or "show replies in this thread". slack-cli is the no-daemon CLI alternative to the slack-mcp-server; it reads a shared on-disk cache so it is cheap to call repeatedly. Output is JSON by default, so results pipe cleanly into `jq`.
Admin-only paginated viewer for stable canister state. Use whenever the user asks for a viewer, dashboard, debug panel, or admin browse over backend data — users, items, orders, logs, or any stable Map/Set/Array/VarArray/List/Stack/Queue. Pre-installed in every Caffeine app via the `caffeineai-data-viewer` mops package; this skill explains what it does and how to keep using it correctly.
Develops custom WordPress themes and plugins, creates and registers Gutenberg blocks and block patterns, configures WooCommerce stores, implements WordPress REST API endpoints, applies security hardening (nonces, sanitization, escaping, capability checks), and optimizes performance through caching and query tuning. Use when building WordPress themes, writing plugins, customizing Gutenberg blocks, extending WooCommerce, working with ACF, using the WordPress REST API, applying hooks and filters, or improving WordPress performance and security.
Review a finished epic folder in the ticket tree against the evidence it left behind — the epic file, each ticket's story file and plan, diffs, commits — and produce a retrospective with sourced findings, action items, and an acceptance decision. Use when the user says "run a retrospective" or "lets retro the epic [epic]". Supports -H/--headless
Slice 3D models into printer-ready G-code with OrcaSlicer, the open-source slicer with built-in profiles for most FDM printers (Prusa, Bambu Lab, Creality, Voron and more). Use when the user wants an `.stl`, `.3mf` or `.obj` model sliced for their printer, as a sliced `.gcode.3mf` or plain `.gcode`, headless with OrcaSlicer's command line or by opening the model in OrcaSlicer. Never contacts a printer.
Provides web exploitation techniques for CTF challenges. Use when the target is primarily an HTTP application, API, browser client, template engine, identity flow, or smart-contract frontend/backend surface, including XSS, SQLi, SSTI, SSRF, XXE, JWT, auth bypass, file upload, request smuggling, OAuth/OIDC, SAML, prototype pollution, and similar web bugs. Do not use it for native binary memory corruption, reverse engineering of standalone executables, disk or memory forensics, or pure cryptanalysis unless the web flaw is still the main path to the flag.
Codified expertise for returns authorization, receipt and inspection, disposition decisions, refund processing, fraud detection, and warranty claims management. Informed by returns operations managers with 15+ years experience. Includes grading frameworks, disposition economics, fraud pattern recognition, and vendor recovery processes. Use when handling product returns, reverse logistics, refund decisions, return fraud detection, or warranty claims.
Interactive picker that discovers available agent personas via the claude agents command and agents/ markdown globs, groups them into domains, has the user select up to five, dispatches them in parallel on one task, and synthesizes agreements and conflicts into a unified report. Use when composing a team of agents, browsing available agent personas, or running several specialist agents in parallel.
Multi-agent orchestration using dmux (tmux pane manager for AI agents). Patterns for parallel agent workflows across Claude Code, Codex, OpenCode, and other harnesses. Use when running multiple agent sessions in parallel or coordinating multi-agent development workflows.
Codebase intelligence for TypeScript and JavaScript. Static analysis reports changed-code risk, cleanup opportunities, duplication, circular dependencies, complexity hotspots, architecture boundaries, design-system drift, feature flags, and opt-in security candidates. Optional local similar-code discovery finds functions that may implement the same intent despite different syntax. Runtime coverage can merge production execution data. Use when asked to audit PR risk, find unused code or dependencies, compare semantically similar functions, detect duplicates, inspect architecture boundaries, merge runtime coverage, auto-fix supported issues, or run fallow.
Use when building HTML email templates with React components, adding a visual email editor to an application using the React Email visual editor, rendering emails to HTML, or sending emails with Resend. Covers welcome emails, password resets, notifications, order confirmations, newsletters, transactional emails, and the embeddable email editor component
Structured messaging protocols for agent team communication including message type selection, plan approval, shutdown procedures, and anti-patterns to avoid. Use this skill when establishing communication norms for a newly spawned team, when deciding whether to send a direct message or a broadcast, when a team-lead needs to review and approve an implementer's plan before work begins, when orchestrating a graceful team shutdown after all tasks are complete, or when debugging why teammates are not coordinating correctly at integration points.
Generates performance-focused guidance for Google Cloud workloads based on the design principles and recommendations in the Performance Optimization pillar of the Google Cloud Well-Architected Framework (WAF). Use this skill to evaluate a workload, identify performance requirements, and provide actionable recommendations for resource allocation, modular design, and elasticity.
Design optimal agent team compositions with sizing heuristics, preset configurations, and agent type selection. Use this skill when deciding how many agents to spawn for a task, when choosing between a review team versus a feature team versus a debug team, when selecting the correct subagent_type for each role to ensure agents have the tools they need, when configuring display modes (tmux, iTerm2, in-process) for a CI or local environment, or when building a custom team composition for a non-standard workflow such as a migration or security audit.
Manages custom Agent resources on Gemini Enterprise Agent Platform. Use when the user wants to programmatically create, configure, list, update, or delete stateful, server-managed Agent resources (including mounting files, skills, and tools) before executing conversations.
Use this skill when creating, redesigning, critiquing, reducing, polishing, hardening, or making design decisions for a user-facing interface, brand surface, product UI, component, dashboard, flow, app shell, onboarding, empty state, or visual system. Applies Mies van der Rohe-inspired restraint, the Interface Craft workflow, and anti-generic design discipline. Not for backend-only work.
Generate ASCII art diagrams using PlantUML text mode. Use when the user asks to create ASCII diagrams, text-based diagrams, terminal-friendly diagrams, or mentions plantuml ascii, text diagram, or ascii art diagram. Supports converting PlantUML diagrams to ASCII art, creating sequence diagrams, class diagrams, and flowcharts in ASCII format, and generating Unicode-enhanced ASCII art with the -utxt flag
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.