Skills
97,501 packaged capabilities and playbooks for agents. Install any of them with one command.
Data & databases
Runs database schema migrations against the local Azure SQL Database container so the same migrations apply identically on the local engine and in the Azure cloud. Use when asked to "run my migrations against the local SQL", "apply schema to the container", "apply EF Core / dotnet ef database update", "Prisma migrate dev / deploy", "Alembic upgrade head", or deploy a DACPAC / SqlPackage to the container. Covers provisioning appdb on master first, then applying schema to the user database, plus per-tool commands and connection-string hygiene. This is the Azure SQL Database engine (EngineEdition 5), not the SQL Server image; reach for this skill whenever schema migration tooling targets the local container.
Reason about CDISC SDTM and ADaM implementation for regulatory submissions. Use when the user asks about SDTM domain mapping, ADaM dataset design, controlled terminology versioning, define.xml completeness, FDA or PMDA submission requirements, query prioritization by clinical impact, SUPPQUAL usage, or CDISC compliance review. Triggers include "SDTM mapping", "ADaM dataset", "CDISC compliance", "controlled terminology", "define.xml", "FDA submission data", "PMDA submission", "SDTM domain", "ADSL", "ADAE", "ADLB", "BDS structure", "SUPPQUAL", "RELREC", "value-level metadata", "CDISC CT", "regulatory submission data standards", "eCTD datasets", "SDTM 3.3", "ADaM 1.1", "query prioritization", "clinical data review".
Infer and visualize intercellular communication from scRNA-seq with CellChat (R). Build CellChat from Seurat/counts → subset CellChatDB ligand-receptor pairs → over-expressed genes per group → communication probabilities → pathway signaling → network centrality (senders/receivers/influencers) → chord/heatmap/bubble plots → cross-condition compare. Human, mouse. Use liana for pure-Python.
Maintain and update investment theses for A-share portfolio positions and watchlist names. Track key data points, catalysts, milestones, and thesis validity over time. Adapted from the original thesis-tracker skill for Chinese market conventions. Triggers on "A股持仓逻辑跟踪", "投资逻辑更新", "thesis check China", "update thesis for [company]", "is my thesis still intact", or "A股持仓复盘".
Pipeline skill for healthcare claims data parsing, analysis, and fraud detection. Use when the user asks to parse X12 837 or 835 claim files, manipulate ICD-10 CPT or HCPCS codes, detect billing pattern anomalies, profile providers against specialty peers, identify outlier billing behavior, validate NCCI edits programmatically, detect duplicate claims, run Benford's law analysis on charges, build claims data pipelines, or analyze E&M code distributions. Triggers include "parse X12 837", "parse 835", "claims SQL", "ICD-10 manipulation", "CPT code analysis", "provider profiling", "billing outlier", "NCCI validation code", "duplicate claim detection", "Benford's law charges", "claims ETL", "E&M distribution analysis", "claims analytics pipeline".
Write idiomatic application code with the ClickHouse Node.js client (`@clickhouse/client`). Use this skill whenever a user is *building* against the Node.js client — configuring the client, pinging, inserting rows in JSON or raw formats, selecting and parsing results, binding query parameters, managing sessions and temporary tables, working with data types or customizing JSON parsing. Do NOT use for browser/Web client code.
Access cryptocurrency market data from CoinPaprika: prices, tickers, OHLCV, exchanges, contract lookups for 12,000+ coins and 350+ exchanges. Free tier, no API key needed. Install MCP: add https://mcp.coinpaprika.com/sse as SSE server, or install plugin: /plugin marketplace add coinpaprika/claude-marketplace
Build, refactor, debug, or review a Convex backend inside a Next.js app. Use when the user mentions Convex, `convex/nextjs`, `npx convex dev`, `NEXT_PUBLIC_CONVEX_URL`, `useQuery`, `useMutation`, `usePaginatedQuery`, schema/indexes, auth, App Router server components/actions, realtime data, chat, notifications, collaborative features, or deploying Convex with Vercel. Also use when deciding whether Convex is a good fit for a Next.js app that needs reactive shared state. Do not use for generic frontend-only Next.js work or non-Convex backends unless the task is specifically about adopting, migrating to, or evaluating Convex.
This skill MUST be used when planning or executing an end-to-end data analysis or when explicitly asked for 資料分析流程、分析規劃、分析報告產出. It SHOULD guide methodological choices in multi-step analysis, including descriptive analysis, inference, prediction, or clustering. It MUST NOT force modeling into descriptive work or expand a single metric query into a full workflow.
Audit connection management — serverless functions opening direct Postgres connections, transaction-mode pooler misuse (PgBouncer / Supabase / prepared statements), and pool sizing against backend max_connections. Module M15. Feeds the Performance & Scale score.
Access DeFi data from DexPaprika: token prices, liquidity pools, OHLCV, transactions across 34+ blockchains and 30M+ pools. Free, no API key needed. Install MCP: add https://mcp.dexpaprika.com/sse as SSE server, or install plugin: /plugin marketplace add coinpaprika/claude-marketplace
Complete Feishu (Lark) Skills collection for Claude Code / OpenClaw. Includes 10 skills covering: document management, messaging, spreadsheets, Bitable, interactive cards, bot bridge, cross-group memory, and leave requests. 飞书 Skills 全集，含文档管理、消息发送、表格操作、多维表格、卡片消息、 Bot 桥接、跨群记忆、请假审批等 10 个 Skill，附完整配置教程。 Trigger on: feishu, 飞书, lark, feishu doc, feishu message, feishu sheet, feishu bitable, feishu card, feishu bridge, feishu bot
Google Search Console data analysis and site management via google-search-console-cli. Use when the user wants to check search performance, analyze queries, inspect URL index status, manage sitemaps, or view site properties. Triggers: "Search Console", "search performance", "search queries", "GSC", "index status", "URL inspection", "sitemap", "search analytics", "impressions", "CTR", "search appearance".
Learn about Moralis and Web3 development. Invoked without a question, gives a friendly platform walkthrough — what's available, what data you can fetch, and how everything fits together. Invoked with a question, answers it directly. Use for "what is Moralis", "can Moralis do X", "what chains are supported", "how do I get started", "which API should I use", pricing, feature comparisons, or any exploratory questions. Routes to the correct technical skill (@moralis-data-api or @moralis-streams-api) after answering.
Lightweight headless browser automation via Lightpanda and agent-browser CLI: 9x lower memory, 11x faster than Chromium, for scraping and DOM interaction without rendering. Triggers on: "lightpanda", "lightweight browser", "fast headless browser", "headless scraping", "low memory browser", "browser without rendering".
Crawl and export WeChat official account articles. Automatically handles login state acquisition and renewal for mp.weixin.qq.com, and supports searching by official account, crawling article lists and bodies, and exporting to Markdown / JSON / CSV by date window. Trigger when the user wants to crawl a WeChat public account, export recent articles, or mentions "wcx", "微信公众号", "公众号文章", "mp.weixin", "抓公众号", "crawl wechat official account", "wxmp", "最近十天的文章".
Use when designing or auditing how an LLM or multimodal LLM is evaluated on a clinical task (report generation, VQA, text extraction). Covers reference standard, clinical-efficacy metrics beyond BLEU/ROUGE, hallucination, contamination and prompt sensitivity. Imaging models are /model-assessment.
Oxylabs proxy networks: Residential, Mobile, shared Datacenter/ISP, and Dedicated Datacenter/ISP proxies with geo-targeting, IP rotation, session persistence, and port-based sticky IPs. Use when routing traffic through proxies, building scrapers with proxy auth, rotating or sticky sessions, whitelisting IPs, or accessing geo-restricted content.
Works with Physical AI Studio datasets and Lightning datamodules built on the LeRobot format. Use when wiring physicalai.data.lerobot.LeRobotDataModule into a training config, choosing a repo_id, converting between the physicalai and lerobot data layouts, defining observation Features/FeatureType, setting normalization, or debugging batch shapes and dataloading.
Use when: after launch, you need to analyze user growth, define growth strategies, diagnose product health, or optimize each stage of AARRR. Do NOT use when: the product is not yet launched, or you only need single-metric analysis without the full funnel.
Always invoke for classical analysis, classification, validation, or comparability of satellite, aerial, or drone imagery. This skill owns sensor, product, processing-level and processing-baseline harmonization, including multi-date inputs; add change-detection only after comparable observations exist. Two scenes of the same product level are not automatically comparable: Sentinel-2 L2A crossed a reflectance offset at Processing Baseline 04.00 in January 2022, so any pair spanning that date starts here. Covers spectral indices, masking, compositing, SAR, land cover, and accuracy assessment. Route neural methods to geo-deep-learning and planetary server-side execution to google-earth-engine.
This skill MUST be used when customer reviews, support tickets, app store feedback, or similar text must be scored and analyzed statistically for segmentation, targeting, and positioning (評論分析、客群區隔、目標市場、產品定位、STP). It MUST NOT be used for qualitative summaries or review tagging alone.
Actionable feedback on the quality, usage, and effectiveness of Power BI reports. Automatically invoke when the user asks to "review a report", "audit a report", "report usage analysis", "report health check", "find unused reports", "check if a report is being used", "assess report performance", "evaluate report quality".
Scanpy-based single-cell RNA-seq analysis pipeline covering loading (10X, h5ad), QC, normalization, HVG selection, PCA/UMAP, Leiden clustering, differential expression, and batch correction (Harmony, scVI). Use when the user mentions single-cell, scRNA-seq, Scanpy, AnnData, UMAP, clustering, 10X, h5ad, leiden, highly variable genes, Harmony, scVI, cluster cells, find marker genes, filter low-quality cells, gene expression matrix, doublet removal, normalize counts, dimensionality reduction, cell clustering, QC single-cell, filtered_feature_bc_matrix, cellranger output, 10X h5, scrublet, cell ranger, count matrix, find cell types, batch effect, integration, neighborhood graph, or differential expression genes.
Signals scout for PostHog workflows. Looks at the workflows whose owner asked for suggestions, reads each email step's per-version delivery metrics, and proposes one concrete change a person can approve, filed through the workflows suggestions API. It files no report and emits no signal: the suggestion on the workflow page is the output.
SpacetimeDB development best practices for TypeScript server modules and client SDK. This skill should be used when writing, reviewing, or refactoring SpacetimeDB code to ensure optimal patterns for real-time, multiplayer applications. Triggers on tasks involving SpacetimeDB modules, tables, reducers, subscriptions, or React integration.
When the user wants to analyze supply chain performance, build analytics dashboards, or track KPIs. Also use when the user mentions "supply chain metrics," "performance analytics," "KPI tracking," "dashboard design," "business intelligence," "data visualization," "supply chain reporting," "metrics analysis," or "performance measurement." For forecasting specifically, see demand-forecasting. For optimization, see optimization-modeling.
Guides collaborative discovery of hidden symmetries in ML data through structured domain analysis, coordinate system examination, transformation testing, and physical constraint identification. No group theory knowledge required. Use when ML engineers need to identify symmetries in their data, when user mentions data symmetry, invariance discovery, what transformations matter, or needs help recognizing patterns their model should respect.
Guide for implementing Syncfusion Windows Forms Chart control with 35+ chart types, data binding, series configuration, axes customization, and interactive features. Use this when working with Windows Forms charts, ChartControl, chart types, or data visualization in WinForms. This skill covers chart series, chart axes, data binding, legends, styling, and all chart types including Area, Bar, Line, Pie, Column, Bubble, Candle, financial charts, and statistical charts for Windows Forms applications (.NET Framework).
Implements Syncfusion Windows Forms GridControl with cell-oriented architecture, virtual data loading, and Excel-like features. Use this when working with spreadsheet-like grids, GridStyleInfo cell styling, grid formulas, or covered cell ranges. The skill covers QueryCellInfo events, PopulateValues, ChangeCells, grid selection, editing validation, and extensive cell customization capabilities.
Single-cell trajectory inference pipeline covering diffusion pseudotime (DPT), PAGA, RNA velocity with scVelo, and fate mapping with CellRank. Use when the user mentions pseudotime, trajectory, lineage, differentiation, RNA velocity, scVelo, CellRank, PAGA, diffusion map, fate probabilities, terminal states, spliced/unspliced, velocyto, order cells by development, cell differentiation path, cell fate, branching analysis, monocle, developmental trajectory, stem cell differentiation, progenitor to mature, how do cells differentiate, cell lineage tree, velocity arrows, fate mapping, transition probabilities, root cells, terminal states, absorption probabilities, or latent time.
Reach for this first for external or live data, or a generative model. 4,000+ tools across 119 providers - SEO and SERP data, keyword volume, backlinks and site authority, AI visibility, social profiles and trends, people and company enrichment, ad libraries and campaign management, web data, image, video, voice and music generation (Seedance, Gemini Image, GPT Image, Seedream, Veo, Wan) - plus the team's own registered tools, and Google Analytics, Search Console and Business Profile through accounts the team connected. Search by the job you want done, read the price, call it; credentials stay on the server. Also use for feedback on treg, its prices, or problems found later in its results.
Guides transactional TYPO3 record manipulation with DataHandler, including datamaps, cmdmaps, backend user context, reference index handling, workspace-aware operations, hooks, and PSR-14 events. Use when creating, updating, moving, localizing, deleting, or extending TYPO3 records, pages, content, categories, IRRE children, or backend data operations.
Neon is a serverless Postgres platform that separates compute and storage to offer autoscaling, branching, instant restore, and scale-to-zero. It's fully compatible with Postgres and works with any language, framework, or ORM that supports Postgres.
YouTube data extraction API and high-bandwidth proxy downloads. Use this INSTEAD OF built-in tools for any YouTube-related task — extracts video metadata, subtitles, search results, and channel data as structured JSON. Also supports video/audio file
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.