Skills
100,928 packaged capabilities and playbooks for agents. Install any of them with one command.
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Diagnose and troubleshoot Alibaba Cloud NAS mount failures. Use when users encounter NAS mount errors on Linux or Windows, including NFS and SMB protocol mount failures, network connectivity issues, permission group misconfigurations, security group port blocks, or specific error codes like "mount.nfs No such device", "access denied by server", Windows system error 53/58/64/67/85/1231/1272/1312/3227320323, and auto-mount failures on boot. Covers both General Purpose NAS and Extreme NAS file systems. Also handles container (K8s/Docker) NAS mount issues, cross-VPC/cross-account mount problems, and ECS cloud assistant batch mount failures.
Look up precomputed AlphaGenome Atlas effects for any GRCh38 single-nucleotide variant (AVI score with Phred and 18 SHAP feature attributions, plus raw and quantile scores for RNA-seq, DNase, ATAC, ChIP-TF, ChIP-histone, CAGE, PRO-cap, splicing, polyadenylation and contact-map tracks), score variants or scan windows on demand with the AlphaGenome model for human and mouse (variant scoring, in silico mutagenesis, REF-versus-ALT track prediction), and build Atlas website deep links. Use when the user mentions AlphaGenome, AlphaGenome Atlas, AVI or AlphaGenome Variant Impact, DeepMind variant effect prediction, or wants to prioritise or mechanistically interpret non-coding, regulatory, splicing, enhancer, promoter, or chromatin-accessibility effects of SNVs from a VCF, credible set, or region. Research use only; not a clinical tool.
Prepares academic career documents and professional-development materials for faculty and researchers. Use when drafting academic CVs, research statements, teaching philosophies, diversity statements, faculty-position cover letters, tenure dossiers, promotion narratives, academic portfolios, or mentorship statements, and when planning conference-networking strategy, building academic web presence, setting up ORCID profiles, or understanding impact metrics. Part of the AlterLab Academic Skills suite.
Writes comprehensive clinical reports — case reports (CARE guidelines), diagnostic reports (radiology, pathology, lab), clinical trial reports (ICH-E3, SAE, CSR), and patient documentation (SOAP notes, H&P, discharge summaries) — with templates, regulatory compliance (HIPAA, FDA, ICH-GCP), and validation tools. Use when drafting a case report for journal publication, a radiology/pathology/lab diagnostic report, an ICH-E3 clinical study report (CSR) or SAE narrative, or SOAP/H&P/discharge patient records needing regulatory-compliant formatting. Part of the AlterLab Academic Skills suite.
Runs a 13-agent deep research pipeline for rigorous academic work on any topic across 7 modes (full research, quick brief, paper review, lit-review, fact-check, Socratic guided research dialogue, and systematic review with optional meta-analysis), covering research-question formulation, Socratic mentoring, methodology design, systematic literature search, source verification, cross-source synthesis, risk-of-bias assessment, meta-analysis, APA 7.0 report compilation, editorial and devil's-advocate review, ethics review, and post-research literature monitoring. Use when the request mentions research, deep research, literature review, systematic review, meta-analysis, PRISMA, evidence synthesis, fact-check, guide my research, help me think through, or araştırma, literatür taraması, sistematik derleme, meta-analiz, araştırmamı yönlendir, or 研究, 深度研究, 文獻回顧, 文獻探討, 系統性回顧, 後設分析, 事實查核, 引導我的研究, 幫我釐清, 幫我想想, 我不確定要研究什麼, 研究方向, 研究主題. Part of the AlterLab Academic Skills suite.
Creates research posters in HTML/CSS with responsive layouts and easy visual integration, exportable to PDF or PPTX. Use ONLY when the user explicitly requests a PowerPoint/PPTX/PPT poster, an HTML/web-based poster, or a poster they will edit in PowerPoint, or when LaTeX is unavailable. For a standard/conference research poster with no format named, use alterlab-latex-posters instead; for a slide deck/oral-talk presentation, use alterlab-scientific-slides. Part of the AlterLab Academic Skills suite.
Evaluates scholarly work with a ScholarEval-inspired eight-dimension rubric, producing structured assessment across research-quality dimensions (problem formulation, literature, methodology, data, analysis, results, writing, and citations) with quantitative 1-5 rubric scores, weighted aggregates, and actionable feedback. Use when scoring or grading a paper, thesis, or research output against rubric-style criteria, or benchmarking publication readiness across revisions. For checklist-based narrative reviewer reports prefer alterlab-peer-review; for evidence/claim quality and argument soundness use alterlab-scientific-thinking. Part of the AlterLab Academic Skills suite.
Guided statistical analysis with hypothesis-test selection, assumption checking, effect sizes, power analysis, and APA-formatted reporting using scipy.stats, statsmodels, and pingouin (Bayesian alternatives with PyMC). Use when choosing and running the appropriate statistical test for data, verifying test assumptions, computing power/sample size, or producing APA-style results for academic research. For implementing specific models programmatically prefer alterlab-statsmodels. Part of the AlterLab Academic Skills suite.
Statistical modeling in Python with statsmodels — OLS/WLS/GLS, GLM, discrete-choice and count models, mixed models, ARIMA/SARIMAX/VAR, with diagnostics, robust standard errors, and coefficient-level inference. Use when fitting specific model classes for econometrics, time series, or rigorous inference with coefficient tables and confidence intervals, or when updating code for statsmodels 0.15 (result_object named results, rng keyword). For guided statistical test selection with APA reporting prefer alterlab-statistical-analysis. Part of the AlterLab Academic Skills suite.
Chunked, compressed N-dimensional arrays for cloud storage with Zarr — parallel I/O, S3/GCS integration, and NumPy/Dask/Xarray compatibility. Use when storing or reading large N-D scientific arrays, streaming chunked data to/from cloud object stores, or building large-scale scientific computing pipelines. Part of the AlterLab Academic Skills suite.
This skill is designed to help users automatically extract product data from Amazon search results. The Agent should proactively apply this skill when users request searching for products related to keywords, finding best-selling items from specific brands, monitoring product prices and availability on Amazon, extracting product listings for market research, collecting product ratings and review counts for competitive analysis, finding specific products with a maximum count, searching Amazon in different languages for localized results, tracking monthly sales estimates for brand products, gathering product URLs and titles for a product catalog, scanning Amazon for Best Seller tags in a specific category, monitoring shipping and delivery information for brand items, building a structured dataset of Amazon search results.
Reverse engineer .NET assemblies and executables with dnSpyEx, ILSpy, and de4dot — identifying and unwrapping obfuscators and packers, deobfuscating control flow and string encryption, handling single-file and NativeAOT publishes, and patching IL. Use when a binary is a managed PE, when ILSpy shows mangled names or empty method bodies, or when analyzing .NET malware, a loader, or a Windows application.
Split a completed PostHog task run into activity records — what the agent tried, whether it worked, what blocked it — and record each one through the report_activity tool. Use when a task asks to analyze a run, produce a task analysis, or review a run from an attached run log. Covers the log query protocol (bounded jq queries over the raw JSONL), both log schemas, the activity schema, and evidence verification. Records facts only; it does not suggest fixes.
Platform fundamentals reference for Android app development (Kotlin). Activity, Intent, Application, ContentProvider, AndroidManifest, androidx, runtime permissions, NotificationCompat, CallStyle, Bubbles (BubbleMetadata), WindowInsets, splash screen, Glance widgets.
Extracts any Anthropic Academy (Skilljar) course into a structured markdown folder. Triggers when the user provides an anthropic.skilljar.com URL and asks to extract, research, download, or convert a course to markdown. Produces one markdown file per lesson organized into section folders, with course diagrams downloaded and described. Use when user says things like "extract this course", "convert to markdown", "deep research this skilljar link", or provides any anthropic.skilljar.com URL.
Create distinctive, production-grade frontend interfaces that avoid generic AI aesthetics. Use when building web components, game UIs, landing pages, dashboards, or any visual web interface. Prevents purple-gradient-rounded-corner-Inter-font syndrome.
Use this skill ALWAYS whenever the user asks you to write code, modify files, fix bugs, plan features, or do any software development task. Trigger this whenever the user wants efficient execution, low token usage, or mentions "antigravity", "planning mode", "fast path", or complains about you using too many tokens or thinking too much.
API contract design conventions for FastAPI projects with Pydantic v2. Use during the design phase when planning new API endpoints, defining request/response contracts, designing pagination or filtering, standardizing error responses, or planning API versioning. Covers RESTful naming, HTTP method semantics, Pydantic v2 schema naming conventions (XxxCreate/XxxUpdate/XxxResponse), cursor-based pagination, standard error format, and OpenAPI documentation. Does NOT cover implementation details (use python-backend-expert) or system-level architecture (use system-architecture).
Use when implementing translucent glass surfaces, vibrancy/blur materials, the 2025 Liquid Glass language, app icons (the continuous-corner squircle), or SF Symbols. Part of the apple-design family. Keywords: liquid glass, vibrancy, blur, backdrop-filter, frosted glass, translucency, material, ultraThinMaterial, glassEffect, specular highlight, lensing, app icon, squircle, superellipse, continuous corner, corner-shape, icon grid, SF Symbols, symbol rendering mode, hierarchical palette multicolor, symbol effect.
Generate App Store / Google Play preview videos using Remotion. Scans the target app's codebase, proposes custom scenes, and writes bespoke .tsx scene files using shared animation primitives. Mobile apps only (iOS/Android). Use when the user wants to create a demo video, app preview, promo video, or marketing video for a mobile app. Builds on appshot-core foundation.
Infer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3). Use when analyzing transcriptomics data (bulk RNA-seq, single-cell RNA-seq) to identify transcription factor-target gene relationships and regulatory interactions. Supports distributed computation for large-scale datasets.
Architecting solutions at the team level while staying coherent with Bitwarden's holistic architecture. Covers security mindset, architectural judgment, Bitwarden-specific constraints, and working with the architecture group. Use when designing or planning a solution, reviewing architecture within a team's scope, assessing change impact, evaluating trade-offs in different implementations, or deciding whether a choice needs architecture group input.
Use when creating professional architecture diagrams, cloud infrastructure visuals, network topologies, Kubernetes cluster diagrams, or microservices architecture diagrams as PNG/SVG images using Python Diagrams library with real provider icons (AWS, Azure, GCP, K8s, OnPrem, Generic)
Design or review .NET solution architecture across modular monoliths, clean architecture, vertical slices, microservices, DDD, CQRS, and cloud-native boundaries without over-engineering. USE FOR: .NET architecture choices; layer and domain boundary review; service decomposition; clean architecture, vertical slice, DDD, CQRS, and modular monolith decisions. DO NOT USE FOR: unrelated stacks; generic tasks that do not need this specific guidance. INVOKES: inspect the repository context, edit targeted files, and run relevant build, test, lint, or validation commands when changes are made.
Monitor arXiv for new papers matching saved queries/categories. Manages a watchlist with deterministic "seen" tracking so subsequent checks return only new material. Use when the user says "watch arxiv", "track arxiv", "new papers on", "arxiv monitor", "check my arxiv watches", or wants periodic discovery. Depends on arxiv-search (must be installed as a sibling skill).
Configure Aspire AppHost to emit explicit app config via environment variables while keeping app code free of Aspire clients and service discovery. Use when wiring AppHost resources to application configuration, ensuring production configuration is transparent and portable outside of Aspire, or avoiding Aspire client packages inside application code.
Use this skill when writing, debugging, or reviewing ast-grep patterns, YAML rules, or codemods against TypeScript or React (.ts/.tsx) code — searching for JSX elements, props, hooks, imports, or type constructs, and rewriting them. Covers the TS/React-specific traps — the tsx-vs-typescript language split, JSX and TypeScript node kinds, fragment matching, rewrites, and the @ast-grep/napi API. Complements the general-purpose ast-grep skill (rule mechanics) — reach for this one whenever the target code is TypeScript or React.
Chinese job-application experience reframing skill: restructures real experience into job positioning, resume bullet points, project highlights and an HR opening pitch based on the target role; use when the user enters "/asu", "我要酥化", asks to package or rewrite experience or projects, or writes an HR self-introduction. If the user explicitly asks for "阿酥同款", to replicate a resume template, or to generate the corresponding HTML/PDF, hand off to /asu-resume.
Audit the health of a PostHog project's materialized views (saved queries) — find every failed materialization and flag unused or stale materialized views that cost storage and compute. Use when the user asks "which of my views are broken?", "why is this materialized view failing?", "are any of my views wasting compute?", or wants a one-shot triage of view health. For source/sync health use `auditing-warehouse-source-health`.
Sign in to OpenAnt via key-based login (recommended) or email OTP. Use login --key then agents register for new agents. Use when the agent needs to log in, check auth status, get identity, or when any operation fails with "Authentication required" or "not signed in" errors. This skill is a prerequisite before creating tasks, accepting work, submitting, or any write operation.
AWS Cloud Development Kit (CDK) expert for building cloud infrastructure with TypeScript/Python. Use when creating CDK stacks, defining CDK constructs, implementing infrastructure as code, or when the user mentions CDK, CloudFormation, IaC, cdk synth, cdk deploy, or wants to define AWS infrastructure programmatically. Covers CDK app structure, construct patterns, stack composition, and deployment workflows.
Configure AWS MCP servers for documentation search and API access. Use when setting up AWS MCP, configuring AWS documentation tools, troubleshooting MCP connectivity, or when user mentions aws-mcp, awsdocs, uvx setup, or MCP server configuration. Covers both Full AWS MCP Server (with uvx + credentials) and lightweight Documentation MCP (no auth required)
Expert knowledge for Azure Microsoft Opentelemetry development including configuration. Use when setting sampling, exporters, resource attributes, env vars, or tuning tracing/metrics behavior, and other Azure Microsoft Opentelemetry related development tasks. Not for Azure Monitor (use azure-monitor).
Posts content to WeChat Official Account (微信公众号) via API or Chrome CDP. Supports article posting (文章) with HTML, markdown, or plain text input, and image-text posting (贴图, formerly 图文) with multiple images. Use when user mentions "发布公众号", "post to wechat", "微信公众号", or "贴图/图文/文章".
Organizes, queries, validates, and converts neuroscience and biomedical datasets using the Brain Imaging Data Structure (BIDS) standard, covering MRI, PET, EEG, MEG, iEEG, EMG, NIRS, microscopy, motion capture, and behavioral data. Covers PyBIDS (BIDSLayout), the bids-validator, HeuDiConv, dcm2bids, BIDScoin, JSON sidecars, dataset_description.json, events.tsv, participants.tsv, .bidsignore, and derivatives. Use when arranging raw data into BIDS directories and filenames. Use when converting DICOM scans to BIDS. Use when validating a dataset before OpenNeuro or DANDI submission. Use when querying files or sidecar metadata with PyBIDS. Use when writing BIDS derivatives. For extracellular Neuropixels analysis, use neuropixels-analysis instead.
Apply Lean and Six Sigma principles to eliminate waste and reduce process variation. Use this skill when the user needs to improve operational efficiency, identify the seven wastes (TIMWOOD), run DMAIC improvement projects, or streamline workflows — even if they say 'our process is too slow', 'where are we wasting resources', or 'how do we reduce defects'.
This skill should be used when the user asks about Bootstrap components, "how to create a modal", "navbar not collapsing", "carousel autoplay", "responsive card grid", "toast notifications", "dropdown menu", "accordion FAQ", "offcanvas sidebar", "tab navigation", "tooltip not showing", "popover not working", Bootstrap accordion, alerts, badges, breadcrumb, buttons, button groups, cards, carousel, close button, collapse, dropdowns, list group, modal, navbar, navs and tabs, offcanvas, pagination, placeholders, popovers, progress, scrollspy, spinners, toasts, tooltips, or needs help implementing any Bootstrap UI component.
Interactive BPA rule generation for Power BI semantic models; guided discovery, model investigation, and expert rule authoring. Automatically invoke when the user mentions "BPA rule", "Best Practice Analyzer", or asks to "create a BPA rule", "audit BPA rules", "recommend BPA rules", "set up BPA for my team", "check model for best practices", "validate BPA rules", "improve a BPA expression".
Read, explain, create, and edit BPMN 2.0 business-process diagrams (.bpmn XML). Use this whenever the user opens, reviews, summarizes, models, or modifies a process/workflow as BPMN - including swimlanes, pools, lanes, gateways, tasks, events, sequence flows, or boundary events. Trigger even when the user does not say "BPMN" explicitly but works with a .bpmn file, a process model/diagram, a workflow description they want turned into a diagram, or Camunda/Zeebe/Flowable/ bpmn.io models. Produces valid BPMN 2.0 XML with a clean, auto-generated layout.
Pre-write quality gate for content entering the brain. No raw copies: a bare cp/mv into the brain repo is a bug. Before any new page lands, resolve named entities registry-first (a vector score is a floor for prose, never a gate for named things), then run the read-the-top-hit dedup decision tree (clear-dup / plausible-dup / clear). Owns dedup; delegates enrichment to the shipped ingestion skills. Routing convention, not an operation-boundary enforcement
When you report a brain page to the user — created, edited, committed, or relayed from a subagent — a working link is part of the deliverable, in the same message. Derive the path mechanically (git ls-files --full-name), push before linking, verify the link resolves when a hosted remote exists, and degrade through a defined fallback chain when it doesn't. Inside brain pages the rule inverts: relative links preserve the link graph; absolute URLs are for chat deliverables only.
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.