Skills
101,174 packaged capabilities and playbooks for agents. Install any of them with one command.
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Audit designs, color palettes, and UI components for WCAG 2.1 accessibility compliance, providing specific fixes for contrast, touch targets, focus indicators, and screen reader support. NOT for color harmony aesthetics or design system creation.
Mandatory for Gemeente Amsterdam architecture and engineering decisions. Use for tech stack choices, project setup, repo scaffolding, architecture, Git workflow, tests, dependency evaluation, Docker, databases, security, accessibility, code review, CI/CD, or other structural choices. Covers approved stacks (Python/Django, FastAPI, Node.js/TypeScript, React, Next.js), Conventional Commits, branch protection, commit signing, 70-80% test coverage, security-by-design, JWT RFC9068, CSP, README/ADR standards, EU-PL v1.2, Docker, PostgreSQL, and WCAG 2.1 AA.
Common conventions for writing Markdown documents that cite external sources (survey reports, paper explainers, and any deliverable that surfaces facts from outside). Defines mandatory citation, in-text reference format, quotation-versus-prose separation, the ban on fabricated associations, and the source-list format. Referenced by survey, ja-explainer, and any skill that produces sourced output.
Evaluate one learner with `skore.evaluate`. The splitter and any non-default score are already on the DataOp from `build-ml-pipeline`. This skill writes the call without `splitter=`, persists the report, and records the locator. When the locked split is the training table and test table that shipped with the data, fit on the training table, then pass `splitter="prefit"` with only the test table. When `model-ml-pipeline` dispatched this turn, return the locator. A standalone turn also owns the evaluate-stage close. TRIGGER when code calls `cross_val_score`, `cross_validate`, `classification_report`, `.skb.cross_validate`, or a handwritten metric print, or the user asks to score, evaluate, or run CV on one learner. Narrative reads of a persisted report belong to `audit-ml-pipeline`. HOW TO USE: before any evaluation call. Resolve G-SKORE-MODE, read the stops, and emit Pre-flight before code. Confirm symbols with `python -m skore_skills api get`.
Expert in designing asynchronous, decoupled systems using Event-Driven Architecture (EDA). Specializes in AsyncAPI, Event Mesh, and CloudEvents standards. Use when designing event-driven systems, implementing message queues, or building asynchronous microservices
Use for targeted EVM chain, account, transaction, RPC, explorer, bridge, and DEX evidence: chain name/ID, native symbol, RouteMesh, wallet balances and DeFi positions via DeBank/Blockscan in Chromium, cross-chain USD portfolio value or net worth, token/NFT holdings/transfers, tx history, funding origin via Etherscan/Blockscout/Chainscout. Covers Arbitrum canonical withdrawals, Across, Bungee, deBridge, Gas.zip, Hop, Layerswap, LayerZero, LI.FI, Relay, Socket, Symbiosis. Covers Uniswap v1-v4, Universal Router, Permit2, 1inch Classic/Fusion/Fusion+, and CoW Swap, CoWSwap, CoW Protocol, or GPv2 swaps, orders, liquidity, approvals, permits, rewards, migrations, wrapping, cancellations, and refunds
Generate or edit images using OpenAI GPT Image API (gpt-image-2, gpt-image-1, etc.). Use ONLY when the user explicitly names OpenAI or GPT as the provider: “gpt image,” “openai image,” “generate image with openai,” “用 openai 画图,” “用 GPT 生成图片.” For generic image requests without a provider, use nanobanana-skill instead. Do NOT use for diagrams (架构图/流程图)—draw those with Mermaid or code.
Comprehensive analytics audit of a website codebase to identify trackable elements and assess analytics readiness. Use when users want to “audit my analytics,” “scan for trackable elements,” “find what I can track,” “analyze my website for tracking opportunities,” or before implementing GTM tracking. Scans HTML/JSX/TSX/Vue for all clickable elements (buttons, links, forms, etc.), identifies existing tracking code, evaluates DOM structure for analytics, and provides recommendations. Acts as a senior frontend engineer with GA4 expertise
Manage Huawei Cloud APIG (API Gateway, dedicated instances) via hcloud CLI: instance lifecycle (create/list/delete), API groups, API create/update/delete, publish/offline, request throttling policies, signature keys, access control (ACL) policies, and public ingress EIP binding, plus read-only diagnosis of public access (eip_address vs sl_domain), the instance -> group -> API -> publish chain, and policy effectiveness. Delete operations require explicit user confirmation; instance creation is a 5-15 minute async operation that must be polled until status == Running. Triggers include: APIG, API gateway, API 分组, API 管理, 流控策略, throttling, 签名密钥, signature key, 访问控制, ACL 策略, access control, publish API, 发布 API, 下线 API, 实例管理, 公网访问, ingress EIP, 策略生效诊断, API 网关排障.
Remote command execution and file transfer on SageMaker HyperPod cluster nodes via AWS Systems Manager (SSM). This is the primary interface for accessing HyperPod nodes — direct SSH is not available. Use when any skill, workflow, or user request needs to execute commands on cluster nodes, upload files to nodes, read/download files from nodes, run diagnostics, install packages, or perform any operation requiring shell access to HyperPod instances. Other HyperPod skills depend on this skill for all node-level operations.
Turn any text or information into magazine-style HTML info cards, and automatically capture and save them as images. Suitable for sharing on platforms such as X (Twitter), WeChat, and Xiaohongshu. Trigger phrases: “生成信息卡”, “做张信息卡”, “把这段内容做成卡片”, “信息卡片”, “make info card”, “generate card”. Card features: large text, strong
Add PostHog metric capture to track counters, gauges, and histograms. Use after implementing features or reviewing PRs to ensure key operations are measured, or when asked to add metrics, counters, or track a value over time. Also handles mirroring existing Prometheus/StatsD/OpenTelemetry metrics into PostHog and initial OTLP exporter setup.
General information only. Not legal advice and not a vehicle appraisal. Manage vehicle ownership in Israel: annual test (test/טסט), registration renewal (chidush rishayon rechev), used car purchase checks, insurance requirements, and transfer of ownership. Use when a user asks about their vehicle test date, how to renew their car registration, what to check before buying a used car in Israel, or understanding Israeli car insurance types. Prevents costly surprises like failed tests, expired registrations, and liens on purchased vehicles.
Configure LLM models and providers for Letta agents and servers. Use when setting model handles, adjusting temperature/tokens, configuring provider-specific settings, setting up BYOK providers, or configuring self-hosted deployments with environment variables.
Migrate existing AI agent projects (LangChain, LangGraph, OpenAI Agents SDK, Claude Agent SDK, CrewAI) to EdgeOne Makers platform conventions. Use when the user wants to adapt a standard agent project to run on EdgeOne Makers, convert Express/Next.js API routes to Makers handlers, or add platform capabilities (context.tools, context.sandbox, context.store). Do NOT trigger for new agent projects (use makers-agents instead).
Analyzes meeting transcripts and recordings to uncover behavioral patterns, communication insights, and actionable feedback. Identifies when you avoid conflict, use filler words, dominate conversations, or miss opportunities to listen. Perfect for professionals seeking to improve their communication and leadership skills.
Used to create standardized ID photos, change ID photo background colors, or produce single-person portrait photo sets based on the user's original image. Triggered when the user asks for an ID photo, one-inch photo, two-inch photo, passport/visa photo, white/blue/red background ID version, portrait photo, three-panel portrait, or themed/scene portrait. Not applicable to group photos, cartoon-style redrawing, or ordinary light portrait retouching. During execution it reads Meitu credentials, calls the local `meitu` CLI, sends the portrait photo, generation prompt and task parameters to the Meitu OpenAPI, and writes the results to the local output directory.
Use when building or debugging Meteor 3 Blaze interfaces: meteor create --blaze, Spacebars, helpers/events, lifecycle, Tracker, ReactiveVar/ReactiveDict, subscriptions, Promise helpers, #let states, Template.dynamic, Blaze.render, and blaze-hot HMR. Triggers on stale async results, lost reactivity after await, data-context lookup surprises, duplicate DOM integrations, Rspack full reloads, raw HTML in triple braces, jQuery not found, Expected template or null, Template.instance() is null after await, missing event.dataTransfer, Reactive HTML attributes, BLOCKOPEN, TRIPLE template tag, Expected "li" end tag, or Template can't be named. Use this skill when asked about reusable Blaze components, the Blaze PWA scaffold, package/backend selection, Rspack entry imports, or template tests. For Meteor 2 to 3 upgrades, use migrate-to-meteor-3; for unexplained cross-layer failures, meteor-debugging.
(NS) Autonomous execution engine — plans depth, resolves doubts from docs/specs, multi-agent work in an isolated worktree. Use for a local/pasted plan or "run this autonomously" without GitLab. Also Phase 2 under ns-execution-gitlab-issue (do not run standalone then). Not for single-step edits (ns-coder) or GitLab issues directly (ns-execution-gitlab-issue).
Complete OpenCode starter pack — an interactive installation portal for environment setup, model connections, MCP integration, and skill installation. Load when the user says “install the starter pack,” “opencode starter pack,” or “help me install the starter pack.”
Build and deploy autonomous AI agents using the OpenServ SDK (@openserv-labs/sdk). IMPORTANT - Always read the companion skill openserv-client alongside this skill, as both packages are required to build and run agents. openserv-client covers the full Platform API for multi-agent workflows and ERC-8004 on-chain identity. Read reference.md for the full API reference.
Evaluate whether a product is production-ready, publish-ready, or sellable-ready. Triggers: 'publish ready', 'ready check', 'readiness review', 'quality check', 'production ready', 'sellable ready', 'can I publish', 'release check', 'final review'.
Establish verifiable UI layout contracts, coordinate spaces, responsive reflow, and evidence gates for Phaser 4 games. Use when implementing or reviewing game UI, HUDs, overlays, scroll areas, safe areas, breakpoints, dynamic copy, or viewport adaptation.
Generate a multi-page Draw.io-format PPT from a paper or presentation content, with modes for thesis defenses and general presentations, and automatically export it as .pptx. Use when the user mentions thesis defense PPTs, defense slides, general PPTs, presentation PPTs, generating a PPT from a template, or drawio2pptx.
Make a showreel-grade product film (landing-page loop, launch video, promo, demo reel, social cut) in code with Remotion, built on the product's own design system, components and voice. Use when someone asks for a product video, landing video, promo, launch film, explainer or "motion design video" for their app, SaaS or codebase. It asks what to include, then covers design discovery, story, music sync, transitions, review loops and a verified final render.
Generate accessible alt text for data visualizations in Quarto documents. Use when the user wants to add, improve, or review alt text for figures in .qmd files. Triggers for requests about accessibility, figure descriptions, fig-alt, screen reader support, or making Quarto documents more accessible.
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.