Skills
97,222 packaged capabilities and playbooks for agents. Install any of them with one command.
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Guides the migration of existing AI workloads (Cloud Run, Gemini API, Gemini Enterprise Agent Platform) to self-hosted GKE inference using gcloud and kubectl. Use when the user has an existing AI inference workload (on Cloud Run, the Gemini API, Gemini Enterprise Agent Platform, or a custom VM) and wants to move it to self-hosted inference on GKE, or asks follow-up questions during such a migration (hardware sizing, model staging, manifest generation, validation, traffic cutover). DO NOT use for brand new GKE inference deployments with no existing workload to migrate (use gke-inference instead). DO NOT use if the user intends to automate the migration via the Gemini Cloud Assist MCP server.
INVOKE THIS SKILL when building evaluation pipelines for LangSmith. Covers three core components: (1) Creating Evaluators - LLM-as-Judge, custom code; (2) Defining Run Functions - how to capture outputs and trajectories from your agent; (3) Running Evaluations - locally with evaluate() or auto-run via LangSmith. Uses the langsmith CLI tool.
Ziniao access policy management: web access rules, web/web groups, members and accounts covered by rules, and account-bound policies for query and maintenance. There are no shortcut commands currently; everything is called directly via ziniao-cli api.
Ziniao device management: query, add, modify, bind or unbind proxy devices (IPs), purchase renewals and automatic renewal. Use when users need to view the proxy device list, add or modify their own proxies, bind devices to stores, or manage device costs.
Use this skill when the user asks to add, embed, integrate, configure, style, or remove an agent, chatbot, chat widget, conversation client, or AI assistant in a UI Bundle project (React or Angular). TRIGGER when: project contains a uiBundles/*/src/ directory and the task involves adding or modifying a chat widget, chatbot, or conversational AI; files under uiBundles/*/src/ import AgentforceConversationClient in React `.tsx`/`.jsx` files, or use the app-agentforce-conversation-client element in Angular `.html` templates and AgentforceConversationClientComponent in `.component.ts` files; user asks to add any chat or agent functionality to a page. DO NOT TRIGGER when: user wants to create a custom agent, chatbot, or chat widget component from scratch; the project has no uiBundles directory.
Builds, optimizes, and debugs cross-platform mobile applications with React Native and Expo. Implements navigation hierarchies (tabs, stacks, drawers), configures native modules, optimizes FlatList rendering with memo and useCallback, and handles platform-specific code for iOS and Android. Use when building a React Native or Expo mobile app, setting up navigation, integrating native modules, improving scroll performance, handling SafeArea or keyboard input, or configuring Expo SDK projects.
Independently research and write an AI-narrative / due-diligence card for a crypto token — the kind of "叙事分析" card that covers what story a token is telling and what's independently verifiable about its social spread. Use whenever the user asks for a token's "叙事"、"舆情"、"传播情况"、"社媒热度", wants to know "这个币在讲什么故事"/"这个币是不是在蹭热点", asks to analyze or fact-check a token's X/Twitter narrative, or gives a bare contract address together with a request to understand its story rather than just its price/security numbers. This is not a raw safety score (`gmgn-contract-dd` owns that), not a screened hot list (`gmgn-heat-rank` owns that), and not a buy decision (`gmgn-token-buy` / `gmgn-swap` own that) — route here only when the ask is specifically about story and spread.
Draft marketing content across channels — blog posts, social media, email newsletters, landing pages, press releases, and case studies. Use when writing any marketing content, when you need channel-specific formatting, SEO-optimized copy, headline options, or calls to action.
Sync tasks and refresh memory from your current activity. Use when pulling new assignments from your project tracker into TASKS.md, triaging stale or overdue tasks, filling memory gaps for unknown people or projects, or running a comprehensive scan to catch todos buried in chat and email.
Extracts, retrieves, and applies CMS brand guidelines (voice, tone, style, colors, typography) to generated content. Use this skill any time a user request involves branding, brand voice, brand tone, brand guidelines, brand identity, brand styling, or applying a brand to content. Triggers on requests like "apply my brand", "use our brand voice", "match our brand guidelines", "find my brand", "search for brand", "get brand instructions", or "apply brand tone". Handles the full workflow: searching for brands in Salesforce CMS, extracting brand instructions, and applying brand voice, tone, and guidelines to generated content. Does not apply to media/image search (use the experience-search-coordinate skill), logo search, or creating new brand definitions.
Send an email via the Recoup API reliably—a Node helper that serializes the body correctly and fails loudly instead of sending an empty email. ALWAYS use this script to send email whenever a task needs to email a report, summary, or notification to the account owner or a recipient. Never hand-build `curl … -d "{…}"` with inline `jq`/shell interpolation; it silently produces emails with an empty body and only the “Message from Recoup” footer. Pairs with recoup-platform-api-access, which it sends through.
Diagnoses, predicts, and mitigates node disruptions during Compute Engine host maintenance and hardware or software maintenance events for GPU and TPU workloads on GKE. Use when diagnosing node disruptions, predicting host maintenance events on GPU/TPU nodepools, inspecting node interruption PromQL metrics, auditing node taints, or configuring workload protection strategies (graceful termination, opportunistic maintenance, PodDisruptionBudgets). Don't use for general GKE cluster creation, network policy configuration, or non-disruption workload deployment.
Conventional Commits v1.0.0 branch naming, worktree naming, and commit message standards for GitHub and GitLab projects. Use when creating branches, naming worktrees, writing commits, generating commit messages, reviewing branch conventions, or setting up changelog automation. Apply when your project needs consistent git history, SemVer-driven releases, parseable changelog generation, or automatic issue closing. Trigger when the user asks how to name a worktree, create a git worktree, or organize worktrees alongside branches.
Query central bank economic statistics time series and 100 key indicators—including base rates, exchange rates, the consumer price index, and money supply—through the Bank of Korea ECOS Open API. Use when the user asks about base rates, exchange rate trends, price indexes, M2, government bond yields, or macroeconomic statistics. Not for stock prices (korean-stock-search) or general KOSIS statistics (kosis-stats).
Develop and deploy Data Cloud Code Extensions using SF CLI plugin. Use this skill when creating custom Python transformations for Data Cloud, deploying code extensions, or testing data transformations. Supports init, run, scan, and deploy operations.
Build an immersive scroll-scrubbed "fly through the world" landing page for any industry or brand using Higgsfield. As the visitor scrolls, a pre-rendered camera flies from outside each scene into its interior, then flows on to the next scene with NO cuts — one continuous connected flight (Emons-style isometric diorama world, or any art direction you pick). The skill interviews the user for the topic, the story beats/sections, and brand kit, then generates cohesive scenes + seamless camera clips with Higgsfield and wires a portable, framework-agnostic scroll-scrub engine. The video chain renders through Monid by default (Seedance 2.0, pay-per-clip USD — capability re-checked each build, see Step 4) with Higgsfield credits as the fallback biller. Use when the user wants a "3D world" / "browse-through-the-industry" hero, a scroll cinematic, a diorama landing, or to turn a business into a scrollable world.
Pre-launch checklist for shipping a new website or web app. Scope: analytics (GA4, PostHog, Google Search Console, Ahrefs), DNS, TLS and backups, legal and CNIL/GDPR compliance, security headers, SEO and GEO (robots.txt, sitemaps, llms.txt, hreflang, schema markup, keyword research), copywriting voice via TONE.md and a humanizer pass, OpenGraph and social previews, favicons and web manifest, Lighthouse, Core Web Vitals and WCAG quality gates, directory submissions, Product Hunt, G2/Capterra reviews, post-launch monitoring. Use when the user says 'checklist for the site', 'ready to ship', 'before I go live', 'ready for prod', 'audit before launch', or asks for a site review, pre-launch audit, or help launching a site or app, deploying a domain to production, or shipping a marketing, docs, SaaS, or lead-magnet site.
A skill for writing and editing Japanese business documents in natural, readable, and clear Japanese. Use it to create or refine meeting minutes, research reports, customer-facing reports, internal guides, technical articles, PR copy, research notes, proposals, emails, slide structures, as well as notes, blog posts, and essays. It can also create meeting minutes from transcripts. Use it for requests to make writing sound natural, readable, concise, or lead with the conclusion, and for feedback that text is hard to read or understand, unclear, AI-like, smells of AI, reads like a literal translation from English, sounds unnatural in Japanese, or feels off. It can also assess or score how AI-like text is without rewriting it, and learn the user's writing style.
End-to-end methodology for AI agents and software engineers to add machine learning algorithms to existing non-ML codebases. Covers problem framing, data readiness, architectural decoupling, and baseline model integration. Use when adding a machine learning capability to a codebase that has none, from problem framing through a baseline model.
Enable or disable the org preference that controls whether a Salesforce org can receive partner offers from the Transactable Marketplace. Use this skill when the user wants to turn partner offer reception on or off for an org. TRIGGER when: user asks to enable or disable partner offers, configure TransactableMarketplaceReceivePartnerOffers, configure enableTransactableMarketplaceReceivePartnerOffers, set up marketplace partner offer reception, toggle the TM partner offers setting, edit a TransactableMarketplacePrivateOffer.settings file, or configure org preferences related to transactable marketplace. DO NOT TRIGGER when: user needs to create or manage the partner offer records themselves, configure marketplace listing settings, or work with SfdcPartnerOffer objects (use platform-metadata-deploy or platform-apex-generate instead).
Postiz is a tool to schedule social media and chat posts to 28+ channels: X, LinkedIn, LinkedIn Page, Reddit, Instagram, Facebook Page, Threads, YouTube, Google My Business, TikTok, Pinterest, Dribbble, Discord, Slack, Kick, Twitch, Mastodon, Bluesky, Lemmy, Farcaster, Telegram, Nostr, VK, Medium, Dev.to, Hashnode, WordPress, ListMonk
Write Python in n8n Code nodes (native Python, `language` pythonNative, n8n 2.x). Use when the user explicitly wants Python in a Code node, when migrating old Pyodide/"Python (Beta)" code that used _input/_json/_node/_now, or when a Python Code node fails with NameError, "Security violations detected", "Import of standard library module … is disallowed", "__build_class__ not found", "A 'json' property isn't a dictionary", or "Python runner unavailable". Covers the only two variables (_items/_item), dict-only access, imports blocked by default, the sandbox's denied builtins, accepted return shapes, and how errors interact with onError. JavaScript is the default for Code nodes — native Python has no n8n helpers and, by default, no imports. EXCEPTION — for Python in the AI-agent-callable Custom Code Tool (@n8n/n8n-nodes-langchain.toolCode), use the n8n-code-tool skill instead (input is _query, return must be a string).
Helps migrate self-managed Apache Kafka workloads to Amazon MSK Express. Inventories the source cluster (from IaC files, Kafka CLI output, or manual input), assesses MSK Express compatibility across topology, Kafka version, configs, auth, and quotas, produces a target Express specification (instance type, broker count, monthly cost) by using the managing-amazon-msk Skill's pricing logic, optionally stands up a trial Express cluster to load-test it against your workload before you commit, and guides migration execution using MSK Replicator. Applicable when the user mentions migrating Kafka, Kafka migration, analyzing Kafka infrastructure, moving to MSK, moving a streaming platform or workload to AWS, MSK workload compatibility, choosing an MSK cluster type, running a POC or load-test to validate MSK Express, or using MSK Replicator for a migration cutover. Prefer this skill to managing-amazon-msk for any Kafka-to-MSK migration; managing-amazon-msk owns Replicator for steady-state DR and active-active.
Comprehensive Cline SDK skill for building AI agents. Covers the direct Agent runtime, ClineCore sessions, custom tools, plugins, events, LLM providers, scheduling, multi-agent teams, and production deployment. Use for any task involving @cline/sdk or its sub-packages.
Use when building CLI tools, implementing argument parsing, or adding interactive prompts. Invoke for parsing flags and subcommands, displaying progress bars and spinners, generating bash/zsh/fish completion scripts, CLI design, shell completions, and cross-platform terminal applications using commander, click, typer, or cobra.
Use for software implementation, debugging, refactoring, review, migration, and other repository-changing engineering work where correctness must be verified. Enforces scoped reconnaissance, adaptive planning, evidence-backed verification, requirement tracking, failure recovery, and budget-aware delegation. Model-agnostic reliability runtime for coding agents -- measured, not claimed.
Verify and debug native, React Native, Expo, or Flutter apps on an Android Emulator with agent-device. Use when an agent needs to launch an app, inspect its live UI, tap, type, scroll, validate a code change, collect failure evidence, or reproduce a workflow on an Android virtual device
Structured content modeling guidance for schema design, content architecture, content reuse, references versus embedded objects, separation of concerns, and taxonomies across Sanity and other headless CMSes. Use this skill when designing or refactoring content types, deciding field shapes, debating reusable versus nested content, planning omnichannel content models, or reviewing whether a schema is too page-shaped or presentation-driven.
Commercial-grade Python installer expert for Windows: Nuitka extreme compilation, dist slimming, DLL footprint analysis, and Inno Setup packaging to ship the smallest, fastest installers. Use when a Python app must ship as a minimal, fast-starting Windows installer; not for basic script-to-exe conversion. 中文触发：Nuitka 极限优化、Python 商业打包、极限编译 Python、dist 瘦身、DLL 分析、最小安装包、最快启动、商业级打包风格
Use when a user wants to wire an OpenTelemetry collector into a Managed ClickStack service on ClickHouse Cloud, either by deploying a new local collector (Docker run or Docker Compose) or by configuring their own existing collector, then send rich synthetic telemetry and verify it is visible in ClickStack.
Provisions, connects, migrates, and operates Amazon RDS for Db2. Applies when provisioning with IBM customer and site IDs (License Manager, BYOL, GovCloud), connecting over TLS, fixing SQL30082N after Secrets Manager rotation, migration from Db2 LUW (Linux, AIX, Windows, AS400) or z/OS mainframe (ADB2GEN, Q Replication), choosing code page/collation (EBCDIC, CCSID), S3 backup/restore, Multi-AZ and cross-region standby replicas, RDSADMIN procedures, customer-managed KMS BYOK, self-managed Active Directory Kerberos, Db2 audit to S3, minimum IAM, or colocation.
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.