Skills
100,696 packaged capabilities and playbooks for agents. Install any of them with one command.
All
Extracts atomic sentences from academic papers — identify every cited paper, compress each citation into a single logical claim, group them by sub-topic, and summarize each group. Use this skill whenever the user pastes academic text or uploads a PDF and wants to extract what cited papers actually claimed, map the literature, build a citation map, extract key arguments from a paper, atomize citations, or asks things like "what does each paper say?", "extract the key claims", "give me an atomic breakdown of this paper", "pull out all the references and their arguments", "summarize the citations by topic", or "elaborate on [Author Year]". Also trigger when the user is preparing a literature review, working in Obsidian/Zotero/Notion and needs structured citation blocks, or uploads a PDF with a request to extract referenced claims. This skill is essential any time someone is working with dense academic text and needs to see what all the cited sources actually argued.
Use when assessing or reviewing Kubernetes workloads running on Amazon EKS for best practice compliance, including pod configuration, security posture, observability, networking, storage, image security, and CI/CD practices. Requires kubectl and awscli access to the target cluster. Triggers on "assess my EKS workloads", "check k8s best practices", "assess container workloads", "evaluate pod security", "workload compliance check", "EKS workload assessment", "检查 K8s 工作负载", "评估容器最佳实践", "审计 EKS 应用", "检查 Pod 配置", "容器安全评估", "工作负载合规检查".
Use when building Elementor addons, creating custom widgets, or managing Elementor components. Covers Widget_Base class (get_name, get_title, get_icon, register_controls, render, content_template), widget registration via elementor/widgets/register hook, addon structure and plugin header, wp_enqueue_script for widget assets, get_script_depends, get_style_depends, inline editing toolbars, custom widget categories, manager registration (register/unregister), selector tokens ({{WRAPPER}}), deprecation handling, and Elementor CLI commands.
ElevenLabs text-to-speech via inference.sh: Eleven v4 and v4 Turbo (newest, most expressive, audio tags, realtime streaming), Eleven v3, Multilingual v2 and Flash v2.5, each as its own app with 22+ premium voices. Capabilities: text-to-speech, realtime text-to-speech streaming, audio tags for emotion and delivery, voice selection, stability control, custom and cloned voices. Use for: voiceovers, audiobooks, video narration, podcasts, voice agents, accessibility, IVR. Triggers: elevenlabs, eleven labs, eleven v4, eleven v4 turbo, eleven v3, elevenlabs tts, premium tts, realtime tts, streaming tts, professional voice, ai voice, high quality tts, multilingual tts, voice generation, natural speech, realistic voice, voice over, speech synthesis
When the user wants to optimize YouTube end screens, design CTAs, improve subscriber conversion, or create a next-video strategy. Also use when the user says 'end screen,' 'CTA strategy,' 'how to get more subscribers,' 'end of video CTA,' 'what should my CTA be,' 'next video strategy,' 'playlist funneling,' 'end card,' 'subscriber conversion.' For description CTAs, see description-seo. For script-level CTAs, see script-structure.
When the user wants to optimize battery storage systems, manage energy storage operations, or plan storage deployment. Also use when the user mentions "battery optimization," "BESS," "energy storage management," "battery dispatch," "storage arbitrage," "grid-scale storage," "battery sizing," or "storage scheduling." For renewable integration, see renewable-energy-planning. For grid operations, see power-grid-optimization.
Calculate engagement rates for creator posts and benchmark them against platform and tier averages. This skill should be used when calculating an influencer's engagement rate, benchmarking creator engagement against industry averages, evaluating whether a creator's engagement is above or below average for their tier, comparing engagement rates across platforms, checking if engagement rates suggest fake followers, auditing a creator's engagement quality before a partnership, analyzing engagement by content type (reels, stories, feed posts, TikTok videos), or assessing engagement trends across a creator's recent posts. For estimating fair market rates based on engagement, see creator-rate-estimator. For full creator vetting beyond engagement, see creator-vetting-scorecard. For scoring niche fit, see niche-fit-scorer.
Expert in enterprise system design (ERP, CRM, HRM, SCM, etc.) and corporate policies. Use when asked to review, reflect on, or critique enterprise software interface design. Provides domain expertise from existing systems and end-user role-playing for constructive feedback.
Keep technical nonfiction durable by separating timeless concepts, decision frameworks, and reader outcomes from fast-changing tool walkthroughs, UI steps, versions, vendor details, and companion resources. Use when scoping, outlining, revising, or updating technical books, self-hosting guides, software manuals, DevOps books, or other technical manuscripts that risk becoming outdated.
Write an executive summary for any document, report, or proposal. Use when asked to write an executive summary, management summary, briefing paper, or one-pager for senior stakeholders. Produces a structured summary that busy executives can read in under 3 minutes and act on.
Generates high-fidelity visual assets, logos, and UI mockups using the media-management MCP server. Trigger this skill whenever the user asks to generate an image, create a logo, produce a hero banner, design a UI icon, or build a visual asset. It is explicitly designed to handle technical specifications including file formats (PNG, JPEG, WEBP), specific dimensions (e.g. 1024x1024), and transparency requirements. Use this skill when the user needs to integrate generated imagery into application code or web pages. It ensures consistent output quality and provides a standardized SVG fallback if the generation tool is unavailable
Identify and exploit insecure deserialization across Java, .NET, PHP, Python, and Ruby — recognizing serialized formats by magic bytes, finding gadget chains with ysoserial and ysoserial.net, and detecting blind cases via DNS or timing. Use when a request contains base64 starting with rO0AB or AAEAAAD, when a cookie or parameter holds a serialized object, or when reviewing readObject, unserialize, pickle.loads, or Marshal.load.
Find and exploit server-side request forgery — reaching cloud instance metadata on AWS IMDSv1/IMDSv2, Azure IMDS, and GCP, internal service discovery, filter and allowlist bypasses via DNS rebinding, redirects, and encoding, and blind SSRF confirmation out of band. Use when an application fetches a URL supplied by the user, when testing webhooks, importers, PDF or screenshot renderers, or when reviewing outbound HTTP calls in source.
Elite reasoning and coding discipline distilled from Claude Fable 5's problem-solving patterns. Load at the START of any non-trivial task — debugging, implementing features, refactoring, architecture decisions, code review, or multi-step investigations. Raises reasoning quality by enforcing hypothesis-driven thinking, evidence-based claims, calibrated effort, root-cause fixes, and adversarial self-verification. Triggers on - "debug", "fix", "implement", "build", "refactor", "why is this failing", "design", "investigate", or any task where being wrong is expensive.
Quickly integrate the starlette-admin admin panel into FastAPI projects. Auto-detects project structure (from scratch or existing project), handles the async/sync engine dual-track setup, generates a complete admin configuration (including AuthProvider, ModelView, batch actions, custom Dashboard, i18n language switching), and marks the modification points in database.py and main.py. Triggered when the user says "add admin", "add admin backend", "integrate starlette-admin", "admin panel", "backend management".
Use when adding, changing, deploying, testing, or debugging FastMCP MCP servers in existing Django apps, including ASGI mounting, stdio or sidecar servers, Django ORM access from MCP tools, auth and permissions, Streamable HTTP deployment, and MCP client tests.
An always-available field lab for thinking with AI, guided by Kit. Use it for any question, from a factual query or practical problem to a genuine tension, hostile thesis test, high-stakes decision, or full recursive dialectic. Give direct answers when enough. Treat open-ended requests to understand, explain, or make sense of conceptual or interpretive material as caddying prompts, not permission for a long explanation: recommend a concrete way to examine the material and run only what the user selects. For other nontrivial inquiries, ask what the user hopes to accomplish when that would change the instrument. Return only what each operation supports; synthesize, recommend, decide, plan, or act only when asked. Offer a Field Log when sources, findings, and open questions need to stay together; collect related logs in an Expedition; use Essay to find and develop source-grounded essays from completed Field Logs; run the Electric Monk dialectic only as a selected workflow.
Use files-sdk to add file storage to a TypeScript/JavaScript app with a unified API across 49 adapters (S3, R2, GCS, Azure, Vercel Blob, the local filesystem, and more). Triggers when the user wants to upload/download/list/search/move/delete/copy files, generate presigned URLs, do multipart or resumable uploads, range downloads, conditional (ETag) writes, bulk (array) operations, migrate or mirror between providers, list folders, scope to a prefix, observe activity with hooks, add plugins (encryption, validation, versioning, caching, …), react to files being created or deleted (bucket notifications from S3/SQS/EventBridge, MinIO, R2 Queues, GCS Pub/Sub, Storj via Pub/Sub, Azure Event Grid, B2/Box/Cloudinary/Appwrite/Supabase/Tigris webhooks), expose storage to the browser with `useFiles` and a server gateway, use the `files` CLI or its MCP server, expose storage to an AI agent (Vercel AI SDK, OpenAI Responses/Agents, Claude Agent SDK), or asks about "files-sdk", "Files SDK", `new Files(...)`, `createFiles(...)`, `files.upload`, `files.move`, `files.url`, `files.signedUploadUrl`, `files.search`, `transfer(...)`, `sync(...)`, `UploadControl`, or any `files-sdk/<adapter>` subpath import
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
Traces a bug or failure to its root cause and fixes it there instead of patching the symptom. Use when the user says "find the root cause", or when debugging a crash, failing test, regression, or "fails after restart" bug, or when a fix would add a guard, retry, or workaround to silence an error.
Fleet orchestration for distributed coding agents across Azure VMs. Invoked as `/fleet <command>`. Covers all fleet operations: status, scout, advance, adopt, watch, snapshot, dry-run, start, add-task, queue, auth, dashboard, tui, and more. Use when: user mentions fleet, agents, VMs, sessions, or asks "what are my agents doing".
Audit and improve Flutter accessibility, inclusive interaction, localization safety, and RTL behavior. Use for screen-reader semantics, focus and keyboard navigation, text scaling, contrast, touch targets, reduced motion, form errors, RTL, localization, or accessibility acceptance checks.
Comprehensive Flutter development guidelines covering architecture, state management, performance optimization, testing, and cross-platform best practices. Use when building, refactoring, or reviewing Flutter applications for mobile, web, and desktop platforms. Covers widget patterns, Riverpod/BLoC state management, navigation with go_router, Firebase integration, platform channels, custom painting, animations, CI/CD, and production deployment.
Plan and create well-structured Issues with the user (GitHub, markdown plan/ folder, or other providers), researching the codebase first and confirming the approach and draft interactively. Use when the user or an orchestrating agent asks for forge-create-issue or to file an Issue for work that is already understood, not when a bug merely comes up in conversation; use forge-shape first when the idea is still vague.
Scaffold a new Frappe Framework v15 application with multi-layer architecture. Triggers: "create frappe app", "new frappe app", "scaffold frappe", "frappe app structure", "/frappe-app". Creates production-ready app structure with service layer, repository pattern, proper module organization, and v15 best practices.
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML/CSS layouts, or when styling/beautifying any web UI). Generates creative, polished code and UI design that avoids generic AI aesthetics
Reviews a submitted creator caption, script, or post for FTC disclosure compliance and flags specific issues with concrete fixes. This skill should be used when checking if a creator's caption has proper FTC disclosure, reviewing influencer content for ad disclosure compliance, auditing a sponsored post for proper #ad placement, verifying a creator included the right disclosure language, spot-checking disclosure requirements before a post goes live, flagging missing or buried disclosures in creator content, reviewing a TikTok or Reel script for sponsorship disclosure, checking if a gifted post needs a disclosure, or ensuring FTC compliance on influencer deliverables. For full brief-to-content compliance checking beyond just disclosures, see content-to-brief-compliance-checker. For brand safety screening of a creator's content history, see brand-safety-screen.
Design or audit game controls, HUD, menus, feedback, input mapping, transparency, juiciness, channels, modes, and metaphors. Use when implementing UI, controls, camera, tutorials, status displays, accessibility feedback, or when players are confused about what happened.
Models engine-agnostic games as interacting parts, state, relationships, feedback, and core/meta loops. Use for cross-system architecture, feedback-loop diagnosis, system boundaries, player mental models, systemic prototypes, and design specifications; defer individual mechanic selection to game-mechanics-design and numerical tuning to game-balance.
Guides developers and testers in writing, fixing, and structuring Gatling load test scenarios. Use this skill whenever the user mentions load testing, performance testing, stress testing, Gatling, virtual users, VUs, ramp-up, injection profiles, simulations, JMeter migration, k6 migration, throughput, response time SLAs, or wants to benchmark an API or service — even if they don't explicitly say 'Gatling' or 'performance test'.
Best practices for creating clean, atomic git commits with good messages. Use when: (1) staging and committing changes, (2) writing commit messages, (3) deciding what to group in a single commit, (4) handling pre-commit hook failures, (5) choosing between amend and new commit. Triggers on "commit", "stage", "git add", "write a commit message", or "commit my changes".
Set up Claude Code hooks to block dangerous git commands (push, reset --hard, clean, branch -D, etc.) before they execute. Use when user wants to prevent destructive git operations, add git safety hooks, or block git push/reset in Claude Code.
[Hyper] Use this skill when the user asks to create, enter, list, remove, clean up, or repair Git worktrees for isolated branches and parallel agent sessions, including a direct `git-worktree ARGUMENT` create, branch-per-folder workflows, parallel Codex/Claude/Cursor workspaces, or the repository-local `.hyper/git-worktree/` convention. Do not use it for ordinary branch checkout, history rewriting, or container or VM isolation.
Comprehensive GitOps methodology and principles skill for cloud-native operations. Use when (1) Designing GitOps architecture for Kubernetes deployments, (2) Implementing declarative infrastructure with Git as single source of truth, (3) Setting up continuous deployment pipelines with ArgoCD/Flux/Kargo, (4) Establishing branching strategies and repository structures, (5) Troubleshooting drift, sync failures, or reconciliation issues, (6) Evaluating GitOps tooling decisions, (7) Teaching or explaining GitOps concepts and best practices, (8) Deploying ArgoCD on Azure Arc-enabled Kubernetes or AKS with workload identity. Covers the 4 pillars of GitOps (OpenGitOps), patterns, anti-patterns, tooling ecosystem, Azure Arc integration, and operational guidance.
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.