Skills
100,928 packaged capabilities and playbooks for agents. Install any of them with one command.
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Dung khi bat dau lam viec voi mot san pham hoac khach hang moi — skill nay tao FILE CONTEXT ma hon 60 skill khac se doc, gom san pham, khach hang, dinh vi, proof, objection, brand voice va KPI. Chay mot lan, dung lai mai ve sau. Kich hoat khi user nhac 'tao context', 'setup product marketing context', 'bat dau du an moi', 'AI chua hieu san pham cua toi', 'khai bao thong tin san pham'. Khong dung cho — context cho thuong hieu CA NHAN thi dung skill 22-personal-brand-context; nghien cuu insight sau thi dung skill 09-insight-khach-hang.
Set up Prometheus for comprehensive metric collection, storage, and monitoring of infrastructure and applications. Use when implementing metrics collection, setting up monitoring infrastructure, or configuring alerting systems.
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production. Use when optimizing prompts, improving LLM outputs, or designing production prompt templates.
Prompt engineering guidance for writing and improving LLM prompts. Use when asked to (1) write a prompt for a specific task, (2) review or improve an existing prompt, (3) design system prompts for AI assistants, (4) structure prompts for specific output formats (JSON, XML, markdown), or (5) apply prompt engineering techniques like few-shot, chain-of-thought, or role prompting.
Use for hands-on Pulumi CLI work: running deployments, fixing broken stacks, and managing infrastructure state. Handles: recovering from stuck or interrupted `pulumi up` with pending operations, cleaning orphaned resources from state after out-of-band cloud deletions, protecting critical resources from accidental `pulumi destroy`, moving resources between stacks without recreating them, targeting specific resources during deployment, migrating between backends (local file to Pulumi Cloud, S3), stack lifecycle management, state export/import/repair, CI/CD pipeline setup, and importing existing cloud resources. Use this skill — not the language-specific Pulumi skills — whenever the user's question is about operating, troubleshooting, or recovering Pulumi infrastructure rather than writing program code.
Guidance for securing and governing AI agents (Microsoft 365 Copilot agents, Copilot Studio agents, and Security Copilot agents) with Microsoft Purview - applying DSPM for AI, DLP, sensitivity labels, Communication Compliance, and audit to agent data interactions and identities. WHEN: secure AI agents, govern Copilot agents, Purview for agents, agent data security, DLP for agents, audit agent interactions, Copilot Studio agent security, agent oversharing, agent compliance, agent identity governance.
Guidance for Microsoft Purview Data Lifecycle Management and Records Management—retention labels and policies to retain and delete content across Microsoft 365, plus declaring records. Covers retention strategy, adaptive vs. static scopes, principle of precedence, disposition review, and regulatory records. WHEN: data lifecycle management, retention policy, retention label, records management, declare record, disposition review, adaptive scopes, retain and delete content, file plan, regulatory retention, immutable records.
Orientation skill for the Microsoft Purview data security, governance, and compliance suite. Helps choose the right Purview solution for a goal and understand the unified portal, roles, and licensing model. WHEN: Microsoft Purview overview, which Purview solution, Purview portal, data governance vs. data security vs. compliance, Purview roles and permissions, where to start with Purview, Purview licensing, I do not know which Purview feature to use, what does Purview cover, getting started with Purview, Purview product overview, which compliance tool do I need. Use this skill first for Purview orientation, then follow up with the specific skill for your use case.
Complete Python type hints system. PROACTIVELY activate for: (1) Built-in generics (list[str], dict[str, int]), (2) Union types (str | None), (3) Type parameter syntax 3.12+, (4) Protocol for structural typing, (5) TypedDict for dict schemas, (6) Literal and Final types, (7) TypeGuard and TypeIs, (8) ParamSpec for decorators, (9) Mypy/Pyright configuration. Provides: Type syntax, Protocol patterns, TypedDict, mypy config. Ensures static type safety with gradual typing strategy.
Interactive QA session where user reports bugs or issues conversationally, and the agent files GitHub issues. Explores the codebase in the background for context and domain language. Use when user wants to report bugs, do QA, file issues conversationally, or mentions "QA session".
French tax pre-audit ("pré-contrôle fiscal") for Qonto accounts, 100% read-only. Screens transactions against the 8 verification axes real DGFIP auditors use — lavish expenses, personal spending booked as business, director's current account, VAT deducted vs receipts on file, benefits in kind, duplicate charges, cash, recurring round amounts — and returns a risk report (🟢🟡🔴 per axis, amounts at stake, cited tax rules, fixes to make first). Use for "lance mon pré-contrôle fiscal", "am I ready for a tax audit?", "quels risques fiscaux dans mes comptes ?", "audit my expenses like a tax inspector would", "what would the tax office flag?".
French VAT return (CA3, form 3310-CA3) preparer for Qonto accounts. Builds the declaration box by box from real account data — collected VAT per rate (20/10/5.5/2.1%), deductible VAT (goods & services, fixed assets), net VAT payable or credit to carry forward — as a "form box → amount → justification" table ready to copy into impots.gouv.fr, with consistency checks against past months and past DGFIP payments. Read-only, zero writes. Use for "prépare ma CA3", "prepare my VAT return for June", "combien de TVA je dois déclarer ce mois-ci ?", "fill in my 3310-CA3", "TVA collectée vs déductible", "check my VAT before I file".
Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use when implementing knowledge-grounded AI, building document Q&A systems, or integrating LLMs with external knowledge bases.
Complete React hooks reference system. PROACTIVELY activate for: (1) useState and useReducer patterns, (2) useEffect and lifecycle, (3) useRef for DOM and values, (4) useContext for shared state, (5) useMemo and useCallback optimization, (6) React 19 hooks (useTransition, useDeferredValue, useActionState, useOptimistic), (7) Custom hook development, (8) Hook rules and best practices. Provides: Hook syntax, effect cleanup patterns, performance optimization, custom hook patterns. Ensures correct hook usage following React best practices.
Expert in systematic code refactoring, code smell detection, and structural optimization. Use PROACTIVELY when encountering duplicated code, long methods, complex conditionals, or any code quality issues. Detects code smells and applies proven refactoring techniques without changing external behavior.
Write competitive research proposals for NSF, NIH, DOE, DARPA, and Taiwan NSTC. Agency-specific formatting, review criteria, budget preparation, broader impacts, significance statements, innovation narratives, and compliance with submission requirements.
Use when code review feedback arrives from the user, a reviewer subagent, another model, a human colleague or an automated tool, before changing any code in response, and especially when the feedback is unclear, looks wrong, or contains several items that may depend on each other
Customize Riverpod automatic retry on provider failure; retry function, per-provider and global retry, disabling retry, ProviderException, awaiting retries. Use when a provider can fail transiently and should retry, or when you need to disable or customize retry logic. Use this skill when the user asks about retry, failed providers, or exponential backoff in Riverpod.
Use when driving or inspecting Roblox Studio through the Studio MCP tools — running Luau in Studio, play/stop, screenshots, reading/searching the datamodel or scripts, generating meshes/materials/models, inserting assets, moving the character, or when the MCP link is dead (no Roblox tools show up). A capability menu + gotchas + connection troubleshooting.
Best practices, design patterns, and common pitfalls for ROS1 (Robot Operating System 1) development. Use this skill when building ROS1 nodes, packages, launch files, or debugging ROS1 systems. Trigger whenever the user mentions ROS1, catkin, rospy, roscpp, roslaunch, roscore, rostopic, tf, actionlib, message types, services, or any ROS1-era robotics middleware. Also trigger for migrating ROS1 code to ROS2, maintaining legacy ROS1 systems, or building ROS1-ROS2 bridges. Covers catkin workspaces, nodelets, dynamic reconfigure, pluginlib, and the full ROS1 ecosystem.
Use this skill to stand up an Android instrumentation test source set with the canonical `AndroidJUnit4` runner, the correct `AndroidJUnitRunner` Gradle wiring, and supporting infrastructure (Test Orchestrator, runtime permission grants, size annotations, SDK suppression, hermetic animation defaults). Covers `androidx.test:core:1.7.0` / `:runner:1.7.0` / `:rules:1.7.0` / `androidx.test.ext:junit:1.3.0` coordinates, `androidx.test.platform.app.InstrumentationRegistry`, and the `androidTestUtil` configuration trap for `androidx.test:orchestrator`. Use when the user reports `Test runner not found`, `AndroidJUnit4 deprecated`, `InstrumentationRegistry deprecated`, asks "why is my orchestrator not running", "how do I pass `-e` args to the test", "how do I grant a runtime permission in a test", or "instrumented test won't compile".
Use when the user installs or starts using Runway Dev, needs to sign in or create a Developer Portal account, connect Dev MCP, verify account/project access, or finish setup after a developer_not_found error. Guide the user through the browser steps and continue with the task once setup succeeds
RYUX - design intelligence for AI agents and designers. Tell it what you are doing and it routes to Analyze (understand an existing interface), Design (create or improve UI and UX in Figma, pen.dev, or mockups), Build (implement in code), Critique (find what to change first, with evidence, or run a heuristic evaluation), or QA (verify a build against the design), reads only the knowledge the task needs (product, UX, UI, interaction, forms, content, accessibility, responsive, design system, frontend, anti-slop), and closes with quality gates. Use for any UI, UX, copy, frontend, design review, or design analysis task, and for product visuals: illustration, 3D, imagery, icons, logos, and motion, even when the request does not name RYUX.
Sells digital products — ebooks, templates, courses, downloads, software, presets, printables. Covers pricing strategy, product-market fit, delivery, upsells, launch playbooks, and platform selection. Use when you have a digital product idea but don't know how to price or sell it, sales are flat and you need a better launch strategy, you're unsure which platform fits your product type, or delivery and upsell flow isn't converting. Do NOT use for membership/subscription sites (use /sales-membership), checkout page optimization (use /sales-checkout), or platform-specific setup (use /sales-kit, /sales-groove, etc.).
Use when converting a legacy Salla app snippet — raw HTML/Twig with `<script>`/`<style>`/ markup, or `{{namespace.key}}` tokens — into the pure-JS format the `salla_snippets` CDN pipeline requires. Trigger on any `{{...}}` token, HTML markup in snippet content, or a PreToolUse nudge from `salla_snippets`. Owns parameter conversion only. Hand-offs → salla-snippets (owns the actual create/update call, JS validation, and the forbidden-parameter check — this skill's rules and that gate must never disagree).
A short skit where every beat is laid down to serve one punchline. The joke has to land on something visible, and the absurdity only works when the camera and the physics stay dead serious. Use when the user wants a Seedance 2.5 / 2.0 video prompt for this kind of clip (Twist-ending comedy skit; 中文触发词: 反转结尾搞笑短片, 搞笑, 反转, 梗, 沙雕), or asks how published cases of this type were prompted. Read references/cases.md before drafting.
Publish the approved final video to platforms such as YouTube, Douyin, WeChat Channels, and Xiaohongshu. Use when the user asks to post a video, publish it across platforms, upload to YouTube, post to Douyin/WeChat Channels/Xiaohongshu, or schedule a post. Check the video version, thumbnail, subtitles, title and description, and AI/copyright disclosures for each platform, then prepare a platform-specific publishing package. Upload as private, draft, or scheduled only after the user authorizes each platform, using official APIs, form-filling assistants, or upload tools available at runtime; never publish everywhere with one click. If uploading is unavailable, provide a manual publishing package.
Debug and fix a Sentry issue — find it (by link, ID, or search), pull full context (stack trace, breadcrumbs, trace, logs), optionally run Seer root-cause / autofix, apply the code fix, and resolve it via a `Fixes PROJECT-NAME-12A` commit/PR. Use when working a known error or hunting one down to fix.
Paid-search competitive landscape for a domain or keyword. Pulls SE Ranking's PPC data — domain ad keyword footprint, ad copy patterns, who else bids on the same keywords, SERP shopping/ad-pack visibility — and produces a competitive ads brief plus a recommended bid-keyword shortlist. Use when the user asks "paid search analysis", "competitor ads", "PPC competitive", "ad copy intelligence", "shopping pack", "who bids on this keyword", or "paid keyword footprint".
Optimize content for AI Overviews (formerly SGE), ChatGPT web search, Perplexity, and other AI-powered search experiences. Generative Engine Optimization (GEO) analysis including brand mention signals, AI crawler accessibility, llms.txt compliance, passage-level citability scoring, and platform-specific optimization. Use when user says "AI Overviews", "SGE", "GEO", "AI search", "LLM optimization", "Perplexity", "AI citations", "ChatGPT search", or "AI visibility".
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.