Skills
100,928 packaged capabilities and playbooks for agents. Install any of them with one command.
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Bare-metal timer and PWM skill. Use when configuring general-purpose timers for PWM, input capture, or periodic ticks without RTOS. Activates on queries about timer prescaler, PWM duty cycle, input capture, or SysTick bare-metal.
End-to-end trip planning: gather user constraints, build a reference itinerary, research locations and dining signals via 大众点评 + 小红书, then generate an interactive, mobile-first map page (Leaflet + timeline) and optionally deploy to Vercel. Use when the user asks to plan a trip, create an itinerary, research restaurants on 大众点评/小红书, build a trip map page, or says "行程规划", "行程地图", "trip map", "plan my trip", or "做个行程". Covers the full pipeline from scattered inputs (screenshots, wishlists) to a deployable reference map with navigation links, 小红书 links, payment info, and reservation buttons.
Use when designing how users move through a product: flows, screen states, wireframes, Figma mockups, funnels, paywalls. Triggers: “юзер флоу,” “add a screen” / “добавь экран,” “mockups” / “макеты.” Not for the visual system (sheleg-design). Refusal phrase “no scenarios” / «без сценариев»
Audit whether a repo's docs actually ANSWER the questions a reader has — by spawning fresh, cheap (Haiku) agents that cold-read ONLY the docs and measuring how fast they reach the answer, whether they hit dead-ends, whether they fall back to source code, and whether they cite docs that contradict each other. Use after a doc reorg, when docs "feel scattered," or when the same confusion keeps recurring. Surfaces findability gaps (a corpus can be COMPLETE — every doc indexed — yet not FINDABLE) plus a prioritized fix list. Works on any repo's docs, not just this one
Build an interactive Deal Workspace artifact for one or more target accounts: an auto-researched account brief, a buying-group map with deal roles, per-stakeholder dossiers (priorities, talking points, likely objections, a grounded opener) mined from each person's professional profile and social posts, live deal signals, prioritized plays, and a weighted warm-intro chain map that traces every route from your team's LinkedIn connections through real named intermediaries to the decision makers, ranked by how short and strong each route is. Use whenever someone points to a company or list of companies and wants to know who to sell to and how to get in, especially if they mention or upload LinkedIn Connections.csv exports, or say things like "who do we know at X", "map our warm intros", "who are the decision makers at X", "build a stakeholder map", "find the warmest path into X", "multithread this account", or want account research turned into something shareable with their team. Trigger it even when they only say "research this account" or "help me get a meeting at X" — the warm-path mapping is the whole point.
Installs the Amplicode IntelliJ plugin into IntelliJ IDEA (Ultimate/Community) and GigaIDE on the user's machine. Trigger explicitly when the user asks to install the Amplicode plugin into their IDE, in any language. Also trigger implicitly when another Spring Agent Toolkit skill (`spring-explore`, `spring-data-jpa`, `spring-data-jdbc`, `crud-rest-controller`, `dto-creator`, `mapper-creator`, `spring-security-configuration`, `spring-planning`, `java-debug`) detects that the Amplicode MCP server is not connected and delegates installation to this skill. After the IDE-plugin is installed, the user must open any project and click the "Настроить Spring Agent" button on the welcome screen — that is what triggers MCP auto-configuration and spring-skills install. This skill does NOT configure MCP itself. Skip GoLand, PyCharm, WebStorm, Rider, CLion, RubyMine, PhpStorm, DataGrip and other JetBrains products — only IDEA and GigaIDE are supported targets.
This skill should be used when the user asks to "analyze a competitor", "compare pricing", "competitive landscape", "market research", "what do customers think", "review intelligence", "hiring signals", "content strategy", "SEO battle", "build a battlecard", "competitive analysis", "who are the players", "who competes with", "market intelligence", "competitive positioning", "deep dive on a company", "board prep", "SWOT analysis", "how does [X] compare to [Y]", or mentions competitor analysis, pricing comparison, customer sentiment, or market landscape research. Requires Apify CLI or Apify MCP server.
ARM SVE skill for scalable vector extension programming. Use when writing SVE intrinsics, predicate registers, VLA loops with svcnt, auto-vectorization with -march=armv9-a+sve2, or debugging SVE in GDB. Activates on queries about SVE, SVE2, predicate registers, svld1, svcnt, arm_sve.h, or Graviton SVE.
Build multiplayer Decentraland scenes with a headless Multiplayer Server, and debug deployed ones. Use when the user wants authoritative multiplayer, anti-cheat, server-side validation, persistent storage, or server messages, or asks to search/tail deployed server logs, investigate errors or restarts, or diagnose server CPU, memory or performance of a deployed Multiplayer Server. Do NOT use for basic CRDT multiplayer without a server (see multiplayer-sync).
Plan, deploy, operate, and troubleshoot Azure Local (formerly Azure Stack HCI): sizing and prerequisites, Arc registration, lifecycle updates, workloads (Azure Local VMs, AKS on Azure Local, images, disks, logical networks), SDN and network security, and failure triage — starting read-only and confirming before risky changes. WHEN: Azure Local, Azure Stack HCI, Arc resource bridge, custom location, Azure Local VM, Arc VM, AKS on Azure Local, AKS hybrid, SDN, Lifecycle Manager, Azure Local update, disconnected site.
Help the user choose, create, iterate, or align MLflow judges and scorers for an agent, RAG app, LLM app, or GenAI workflow, including MemAlign and domain-expert labels. Build a small set of atomic quality criteria with the cheapest reliable implementation
Build async message queues with Cloudflare Queues for background processing. Use when handling async tasks, batch processing, implementing retries, configuring dead letter queues, managing consumer concurrency, or troubleshooting queue timeouts, batch retries, message loss, or throughput exceeded. Prevents 13 documented errors, including multi-dev limitations, remote binding conflicts, and DLQ issues.
Use this skill when users need to analyze competitors, monitor market movements, benchmark features/pricing, identify market gaps, or understand competitive positioning. Activates for "what are competitors doing," market analysis, or differentiation strategy.
Deploys smart contracts to Base using Foundry. Covers forge create commands, contract verification, testnet faucet setup via CDP, and BaseScan API key configuration. Use when deploying Solidity contracts to Base Mainnet or Sepolia testnet. Covers phrases like “deploy contract to Base”, “forge create on Base”, “verify contract on BaseScan”, “get testnet ETH”, “Base Sepolia faucet”, “how do I deploy to Base”, or “publish my contract”.
DigitalOcean Gradient AI agentic cloud and AI platform for building, training, and deploying AI agents on GPU infrastructure with foundation models, knowledge bases, and agent routes. Use when planning or operating AI agents on DigitalOcean
A tool for crawling Douyin posts. Enter a Douyin name or ID to retrieve basic account information and a list of recent posts from the Honghu API-wide database (pagination supported, up to 50 per page). Use when users mention “crawl Douyin posts,” “Douyin post list,” “view Douyin videos,” “collect Douyin content,” or “fetch Douyin posts.”
Operates Flounder, an autonomous white-hat security auditor. Use when a user asks for a security audit, bug-bounty review, vulnerability investigation, or exploit proof for a public-source or authorized repository, source tree, package, smart contract, Solidity/EVM project, ZK or proof-system code, deployed address, transaction, project link, or prior Flounder run; to run Flounder prepare, map, dig, audit, verify, confirm, or report workflows; to configure Flounder server, daemon, provider profiles, model auth, sandboxed execution, corpus paths, source paths, build roots, coverage, or budgets; to monitor live audit activity, continue pending scopes, verify suspected vulnerabilities, reproduce findings, or collect execution-backed bug reports; or when a Flounder maintainer asks an agent to improve auditor recall, analyze Evaluation failures, run governed Harness experiments, modify Flounder source in an isolated branch, or prepare a candidate improvement PR.
Import CSV or Excel files into seekdb vector database and manage collections. Supports automatic vectorization of specified columns using embedding functions. When users need to: (1) Read and preview Excel files, (2) Import CSV/Excel data into seekdb, (3) Create vector collections from tabular data, (4) Vectorize specific text columns for semantic search, (5) Batch insert product/document data with embeddings, (6) Delete collections, or (7) Access sample data files (sample_products.csv/xlsx) for testing - IMPORTANT: sample files are located in this skill's example-data/ directory, you MUST read this skill file first to get the correct path.
Interact with Jupiter Lend Protocol. Read-only SDK (@jup-ag/lend-read) for querying liquidity pools, lending markets (jlTokens), and vaults. Write SDK (@jup-ag/lend) for lending (deposit/withdraw) and vault operations (deposit collateral, borrow, repay, manage positions).
Query the Amazon product catalog (Catalog Items). Retrieve catalog details by ASIN, search products by keyword, identifier, or classification criteria, and query product category nodes, title summaries, images, and other includedData. Trigger when users mention the Amazon product catalog, Catalog Items, looking up products by ASIN, searching Amazon products by keyword, category nodes, product images or summaries, searchCatalogItems, getCatalogItem, or listCatalogCategories. Even without explicitly saying “Catalog,” trigger this skill when users want basic product information from Amazon’s full catalog rather than their own seller Listings. Use linkfox-amazon-store-listings for creating, deleting, updating, or querying seller SKUs.
Insights into buyer feedback on Amazon products and categories. Query review topics, topic mention counts, star rating impact, review trends, return topics, and return trends by ASIN or browse node to analyze product reputation and category issues. Trigger when users mention Amazon review analysis, review topics, reasons for negative reviews, review trends, return reasons, return trends, ASIN reputation insights, category feedback, MENTIONS, STAR_RATING_IMPACT, or Customer Feedback API. Even without explicitly mentioning the API, trigger this skill when users want to identify common positive or negative reviews or return issues for an Amazon product or category from aggregated feedback.
Log a call, meeting, or email exchange to the CRM after the fact as a completed activity on the right account, opportunity, and contact - drafted from your description or a transcript, shown with its sources and saved when you ask. Use when the user says "log this call", "log my meeting with [account]", "log that I emailed [contact]", "track this conversation in the CRM", or "what activities are logged on [account]".
Use when the user asks to manage Make platform resources with makecli — create/deploy apps, promote beta to production, check build/deploy progress or app URLs, read build/deployment logs, entities, relations, records, query server-side statistics (统计、汇总、分组统计), inspect resources, switch backend context, log in to Make, or run makecli CLI commands. Also triggered by requests like "部署", "发布到 production", "promote", "部署进度", "构建状态", "构建日志", "部署日志", "apply", "查看应用", "创建记录", "登录 Make", "切换环境", or "/makecli". Does not own DSL schema design (use makedsl), frontend UI (makeui), auth (make-app-auth), Service/API code (make-app-service), runtime packaging (make-app-runtime), OCR integration (make-integration), or canvas-table behavior.
Use seekdb-cli to interact with seekdb/OceanBase databases via shell commands. Use when: (1) querying databases with SQL, (2) exploring table schemas and structure, (3) profiling table data distributions, (4) inferring table relationships, (5) managing vector collections and semantic search, (6) adding/exporting collection data, (7) managing AI models, (8) checking database connection status, or (9) performing any database operation via command line.
First-run setup — checks which tools are connected, shows what's connected and what each one unlocks, learns how you write from your sent email, and renders a starter dashboard right away with no upfront interview. When tools are missing, it walks through connecting the CRM, then email, then calendar, showing something useful after each. Use on first open, or when the user says “set me up”, “get started”, “what's connected”, “learn my voice”, “match my writing style”, or “onboard me”.
Common utilities and features for Syncfusion Angular components. Use this skill when the user needs to implement animations, drag-and-drop, state persistence, RTL support, localization, globalization, security, templates, and advanced features for Syncfusion Angular components.
Deploy, manage, and optimize vector databases for AI applications. Covers Qdrant, Weaviate, pgvector, and Pinecone — collection management, indexing strategies, backup, and performance tuning for production RAG and semantic search workloads
An engineering practices handbook for repositories using the weapp-vite project layout or projects with the `weapp-vite` dependency installed. Covers the `weapp` configuration in `vite.config.ts`, built-in i18n, automatic routing, routeRules/layout, buildScope, automatic component imports, subpackages, npm, single-target builds for six platforms, managed TypeScript, HMR, sourcemap, `prepare`, MCP, Web runtime, lib mode, worker, AI skills, and the command governance boundary with `weapp-ide-cli`.
Production guidance for reusable layered 2D character rigs in browser-rendered and video media. Use for SVG hierarchies, pivots and constraints, FK/IK planning, pose and facial libraries, acting, cycles, deterministic handoff, crop variants, and rig QA; not for character concept continuity, 3D armatures, or motion-capture solving.
Perform a full AWS Well-Architected Framework review evaluating all 57 questions across 6 pillars by analyzing code, IaC, and configurations to produce evidence-backed findings with Eisenhower-prioritized remediation.
Academic backtesting framework for quantitative research. ~30 risk and performance ratios, 10 classes of indicators, event-driven engine with 6+ strategies, MPT optimizer, forward-looking simulation with Johnson SU + t-Copula, walk-forward CV, stress testing, fundamental analysis (Altman Z, Piotroski, DuPont). All flat Python + numpy.
Run LLMs and AI models on Cloudflare's GPU network with Workers AI. Includes Llama 4, Gemma 3, Mistral 3.1, Flux images, BGE embeddings, streaming, and AI Gateway. Handles 2025 breaking changes. Prevents 7 documented errors. Use when: implementing LLM inference, images, RAG, or troubleshooting AI_ERROR, rate limits, max_tokens, BGE pooling, context window, neuron billing, Miniflare AI binding, NSFW filter, num_steps
Codemod (JSSG, ast-grep, workflows) best practices for writing efficient, safe, and maintainable code transformations. Use this skill when writing, reviewing, or debugging codemods, AST transformations, or automated refactoring tools. Triggers on tasks involving codemod, ast-grep, JSSG, code transformation, or automated migration.
Use when evaluating the performance of individual Xiaohongshu posts, identifying what makes content succeed or fail, extracting viral content patterns, recognizing underperforming content that needs optimization, or comparing performance across different content types and formats
Run a full Dune app platform review against a React/TypeScript CDF codebase, following the cognitedata/dune-app-reviews scoring criteria. Produces three artifacts: review-files.md (per-file inventory), review-packages.md (dependency audit), and review-report.md (scored report with must/should/nice-fix items). Use when the user asks for a Dune app review, pre-submit review, approval review, app certification review, code quality audit, CDF platform review, or "run dune-review" on a codebase before submission
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.