Skills
97,501 packaged capabilities and playbooks for agents. Install any of them with one command.
Data & databases
Build and deploy machine learning models with PyTorch, HuggingFace Transformers, and scikit-learn. Use when you need model training, fine-tuning with LoRA/QLoRA, text classification, NER, embeddings, RAG pipelines, dataset preparation, model evaluation, hyperparameter tuning, ONNX export, quantization, inference optimization, or classical ML with XGBoost and scikit-learn.
Query Google Search Console via the Search Console API v1 — search analytics (clicks / impressions / CTR / position), sites, sitemaps and URL inspection. Use when the user mentions Search Console, organic search performance, top queries / pages, indexing status, or sitemaps.
Search TikTok e-commerce livestream rankings using kalodata data and query detailed data for a specified livestream. Browse top-ranked and best-selling TikTok shopping livestreams by region, currency, language, and date range, and use livestreamId to retrieve sales, viewer count, duration, GPM, and the number of products sold. Trigger this skill when the user mentions TikTok livestream rankings, TikTok live rankings, TikTok shopping livestream rankings, top-selling TikTok livestreams, TikTok livestream details or data, livestream viewer counts, kalodata livestream search or rankings, TikTok livestream ranking, TikTok live ranking, TikTok top livestreams, TikTok live shopping ranking, TikTok livestream detail, kalodata livestream search/detail, or live analytics. Trigger it even if the user does not explicitly mention “kalodata,” as long as they want to view TikTok platform livestream rankings or detailed data for a specific TikTok livestream.
Expert guidance for defining and using Active Record associations in Rails. Use when creating associations, defining model relationships, troubleshooting foreign keys, fixing N+1 queries, setting up belongs_to, has_many, has_one, has_many :through, polymorphic associations, self-referential joins, join tables, counter caches, dependent options, inverse_of, eager loading, or any question about how models relate to each other.
Expert-level dbt (data build tool), models, tests, documentation, incremental models, macros, and Jinja templating. Use when the user mentions analytics engineering, SQL, data transformation, Jinja, or testing, or when the task involves Project Structure and Configuration, Sources and Staging Models, Intermediate and Mart Models, or Incremental Models.
Explore and diagnose a PostHog endpoint's execution logs — error messages, failed runs, cache misses, slow runs, or unexpected row counts during endpoint invocations. Use when the user says "my endpoint is failing", "show me the logs for endpoint X", "what error did endpoint Y produce", "why did endpoint Z return no rows", "is this endpoint hitting cache", or "check the last N runs". Focused on a single named endpoint's runtime log entries, not project-wide auditing or query performance profiling.
Advanced Feishu spreadsheet features (filter views + filter conditions + dropdown cells + floating images + batch styles). Use filter-view CRUD to manage filter views, filter-view condition CRUD to write filter conditions (V3 API); dropdown set/get/update/delete to manage cell dropdowns (V2 dataValidation); image get/update/media-upload/write-image to manipulate floating images and write images into cells; batch-set-style to set styles for multiple cell ranges. Basic read/write (read/write/style/add-rows/add-sheet) remains in the feishu-cli main sheet/bitable commands; this skill focuses on advanced features. Use when the user asks for “filter views,” “filter conditions,” “add dropdown,” “data validation,” “column dropdown,” “floating image,” “insert image,” or “batch styles.”
Trend and technical analysis. Use this skill ONLY when the user's query is exclusively about technical indicators or trend analysis for one coin with no other analysis dimensions. Trigger phrases: technical analysis, K-line, RSI, MACD, trend, support, resistance. If the query ALSO mentions fundamentals, risk, news, sentiment, or any other analysis dimension, use gate-info-research instead — it handles multi-dimension queries in a single unified report.
When the user wants to analyze Google Ads performance by device, geography, day of week, hour of day, or any combination of these dimensions. Also triggers on 'device performance', 'mobile vs desktop', 'bid adjustments', 'geo performance', 'location targeting', 'dayparting', 'ad schedule', 'hourly performance', 'device modifiers', 'geo bid adjustments', 'best time to run ads', 'location exclusions', or 'campaign splits by device or geo'. For full campaign structure see google-ads-search. For Smart Bidding see google-ads-bidding.
Comprehensive SQL statement checking for DWS, supporting two check modes: 1. Syntax Check - Keyword validation, statement structure verification, clause completeness, DWS syntax compatibility based on gram.y grammar definitions 2. Specification Check - Object design standards, data operation standards, naming conventions based on DWS development design specification Built-in custom DWS SQL tokenizer (594 keywords) and recursive descent parser supporting 160+ statement types. Applicable when users need SQL quality review, syntax validation, or specification compliance checking. Trigger phrases: “SQL检查”, “SQL规范”, “SQL审计”, “SQL语法”, “SQL优化”, “检查SQL”, “SQL review”
Sets up and manages Postgres using the clickhousectl CLI — runs a local Docker-backed Postgres for development, and creates and operates managed ClickHouse Cloud Postgres services (connections, TLS, runtime config, read replicas, failover, point-in-time restore). Use when the user wants a Postgres or PostgreSQL database for their application, a local Postgres dev environment, psql access, or a managed/production Postgres in ClickHouse Cloud, or mentions moving a local Postgres to production. Also use when migrating an existing Postgres database (Neon, Supabase, RDS, Aurora, Cloud SQL, self-hosted) into ClickHouse Cloud Postgres.
Read and edit live Excel workbooks stored in OneDrive / SharePoint via the Microsoft Graph workbook API. Use when the user mentions an Excel file, a spreadsheet on OneDrive, reading a range or table, appending rows, updating cells, or listing worksheets in a cloud .xlsx.
Explain football analytics concepts and provider documentation: what metrics mean (xG, PPDA, xT), learning paths and resources, and provider details such as qualifier IDs, coordinate systems, event types, schemas, ID schemes, coverage, or provider comparisons.
Evolve your brain's schema pack. Add page types, propose new ones from corpus scans, backfill page.type on existing pages, audit pack health. Triggers when an agent notices untyped pages, custom domains needing typed entities (researcher, contract, deposition), or wants to see what types the pack declares
Analyze social media data for individual posts, series, weekly or monthly periods, and produce actionable reviews. Use to read platform dashboard screenshots, CSVs, spreadsheets, public links, or user-provided data; calculate follow efficiency and deep engagement; compare against same-platform baselines; attribute results to topics, titles, covers, openings, structure, publishing time, tags, and calls to action; and recommend whether to double down, repackage, adapt, stop, or keep collecting samples.
Investigate and reduce SigNoz telemetry ingestion cost and metric cardinality across metrics, logs, and traces. Find what drives SigNoz spend (via the Cost Meter), which metrics have runaway or unbounded label cardinality, and safe, dashboard-, alert-, and Infra-page-aware ways to cut volume. Make sure to use this skill whenever the user asks "why is my SigNoz bill so high", "what's driving my ingestion cost", "reduce telemetry volume", "which metrics cost the most", "cardinality health check", or "what can I safely drop", or otherwise asks about telemetry spend, ingestion volume, or metric cardinality, even if they don't say "cost" or "optimize" explicitly.
Use when asking 'where should I store this data', 'should I use SwiftData or files', 'CloudKit vs iCloud Drive', 'Documents vs Caches', 'local or cloud storage', 'how do I sync data', 'where do app files go' - comprehensive decision framework for all iOS storage options
Analyze and compare construction bids, proposals, estimates, and subcontractor quotes. Assigns line items to UniFormat II headings, compares absolute cost and cost per unit, produces a leveling spreadsheet (CSV or Excel) and a concise PDF report with scope overlap matrix, contractual term comparison, and a recommendation. Use when the user provides one or more bid documents (PDFs, spreadsheets, or text) to analyze or compare, or asks to "level bids", "compare bids", "bid tabulation", "bid comparison", "bid analysis", or "analyze this bid/quote/proposal" for a construction project.
Data visualization with chart selection, color theory, and annotation best practices. Covers chart types (bar, line, scatter, heatmap), axes rules, and storytelling with data. Use for: charts, graphs, dashboards, reports, presentations, infographics, data stories. Triggers: data visualization, chart, graph, data chart, bar chart, line chart, scatter plot, data viz, visualization, dashboard chart, infographic data, data presentation, chart design, plot, heatmap, pie chart alternative
Use for targeted EVM chain resolution and on-chain account data: target chain name/ID, RPC/explorer/native symbol, RouteMesh, balances, token/NFT holdings/transfers, tx history, funding origin via Etherscan/Blockscout/Chainscout; bridge/cross-chain Bungee, LayerZero, LI.FI, Socket enrichment.
Structured search data via 130+ engines — use INSTEAD OF web_search when you need: exact citations (google_scholar), local business details (google_maps), flight prices (google_flights), hotel rates (google_hotels), shopping prices (google_shopping_light), job listings (google_jobs), or any task where web_search gives approximate/unstructured results. Returns machine-readable JSON. Default engine: google_light.
Design VictoriaMetrics stream aggregation rules to reduce cardinality, sample frequency, or query load. Use whenever the user wants to apply, plan, or troubleshoot stream aggregation (`-streamAggr.config`, `-remoteWrite.streamAggr.config`), asks how to aggregate a high-cardinality metric, mentions downsampling at vmagent, replacing recording rules with stream aggregation, picking the right aggregation output (`total`, `rate_sum`, `sum_samples`, `quantiles`, `histogram_bucket`, etc.), choosing an aggregation interval, deciding where to place vmagent in the delivery pipeline, or whether to scale vmagent for aggregation. Also triggers on "aggregate histograms", "drop labels via vmagent", "reduce ingested samples", "pre-aggregate at vmagent", "stream aggregation accuracy", and "stream aggregation duplicates in cluster".
Expert guidance for implementing UUID primary keys in Rails applications. Use when setting up UUIDs as primary keys, choosing between UUIDv4 and UUIDv7, configuring generators for UUID defaults, writing migrations with id colon uuid, adding UUID foreign keys, implementing base36 encoding for URL-friendly IDs, configuring PostgreSQL pgcrypto or gen_random_uuid, implementing SQLite binary UUID storage, choosing a primary key type, using non-sequential IDs, secure IDs, random IDs, or any ID generation strategy beyond auto-increment integers.
Expert knowledge for Azure Database Migration Service development, including troubleshooting, decision-making, limits and quotas, security, integrations, coding patterns, and deployment. Use when planning Azure DMS migrations for MySQL, PostgreSQL, MongoDB, SSIS-to-Azure SQL, or hybrid workloads, and for other Azure Database Migration Service development tasks. Not for Azure Migrate (use azure-migrate), Azure SQL Database (use azure-sql-database), Azure SQL Managed Instance (use azure-sql-managed-instance), or SQL Server on Azure Virtual Machines (use azure-sql-virtual-machines)
Expert knowledge for Azure Maps development including best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, and integrations & coding patterns. Use when using Azure Maps Web/REST SDKs, geocoding, routing, traffic, weather tiles, or Power BI visual integrations, and other Azure Maps related development tasks. Not for Azure AI Search (use azure-cognitive-search), Azure IoT (use azure-iot), Azure IoT Central (use azure-iot-central), Azure IoT Edge (use azure-iot-edge).
Complete DataForSEO API integration for SEO data and analysis. Use for keyword research, search volume, SERP analysis, backlink audits, competitor analysis, rank tracking, domain authority, technical SEO audits, content monitoring, Google Trends, or other SEO-related data queries. Covers all DataForSEO APIs, including SERP, Keywords Data, DataForSEO Labs, Backlinks, OnPage, Domain Analytics, Content Analysis, Business Data, Merchant, App Data, and AI Optimization APIs. Outputs CSV files.
DingTalk AI Table (multi-dimensional table) business operations. Use when the user needs to operate AI 表格/多维表/Base/Table, app modes/App pages/Widget, create tables, query and write records, fields, record comments, comment replies, access keys (API Key), SQL/PostgreSQL/SELECT/JOIN, filters, sorting, formulas, templates, bulk import of CSV or JSON, export, dashboards, charts, upload attachments, data source configuration and sync, query sync status or approval data sync by task ID. Ordinary requests focus on completing clear business operations; when the user explicitly requires CLI contract review, verification of aitable composite JSON receipts, dry-run, command parameters, Help/Schema contracts or recovery plans, this Skill must be loaded. Reviewing only aitable composite JSON receipts also requires loading this Skill; "do not execute online business" does not exempt local offline contract verification, and you must not answer directly based on general JSON experience. This is local Help/Schema contract verification, not repository source code review, and does not start from source code search; load the main text first to determine the entry point and rules and do not execute based only on a summary; follow the verification entry point specified in the user's original text, and Skill parameters must not expand the scope. Do not do spreadsheet cell read/write or cell comments (use dingtalk-misc) or document editing (use dingtalk-doc); for transferring meeting notes and todos into tables, first extract with dingtalk-minutes, then write with this skill.
DWS cluster I/O overload root cause diagnosis skill, based on KooCLI v3.2.0+ and DWS Autopilot MCP Server. Automatically collects I/O metrics, analyzes root causes (customer-side / system-side) via a three-stage decision tree, and outputs a standardized diagnosis report. Applicable to scenarios involving high DWS cluster I/O usage, I/O alarms, and disk I/O load anomalies. Trigger words: "I/O高", "I/O告警", "I/O诊断", "I/O过载", "IO高", "IO告警", "IO诊断", "IO过载", "磁盘IO负载异常", "util打满", "await高", "high I/O", "I/O alarm", "I/O diagnosis"
Measure GTM with the metrics that matter (net developer retention, DREAM funnel) instead of vanity numbers. Use when the user has dashboards full of stars and pageviews but can't tell if go-to-market is working, or is optimizing acquisition over a leaky bucket
Batch-query TikTok video details, including description, views (total and 1/7/30-day increases), likes (total and increase), comments, shares, saves, video sales and GMV, duration and resolution, publish date, creator details (ID/account/avatar), whether it promotes products, is boosted, or is an AI video, and linked products and categories. Batch retrieval supports video IDs or TikTok video URLs. Activate when the user mentions TikTok video details, batch TikTok video queries, TikTok video view details, TikTok video sales details, TikTok video analytics, batch TikTok video information, EchoTik video details, TikTok video detail, batch video lookup, TikTok video analytics detail, TikTok video views detail, or TikTok video sales detail. Activate even if the user does not mention “EchoTik” when they want detailed TikTok view and marketing data in batches based on video IDs or URLs
Search TikTok ecommerce creator rankings and retrieve detailed profiles for specific creators using kalodata data. View top-ranked product-promotion creators by region, currency, language, and date range; use creatorId to retrieve follower counts, video/live sales and GPM, contact details, and linked stores. Activate when the user mentions TikTok creator search, TikTok creator rankings, TikTok influencer rankings, TikTok creator details or profiles, creator profile data, creator contact details, TikTok creator search, TikTok creator ranking, TikTok influencer leaderboard, TikTok creator detail, creator analytics, or kalodata creator search/detail. Activate even if the user does not mention “kalodata” when they want TikTok creator rankings or detailed product-promotion data for a specific TikTok creator
Search TikTok ecommerce rankings of popular product-promotion videos and retrieve details for specific videos using kalodata data. View top-ranked, high-view, or best-selling product videos by region, currency, language, date range, and GMV range; sort by GMV; or use videoId to retrieve views, likes, comments, shares, sales, GPM, and ad metrics. Activate when the user mentions TikTok video search, TikTok video rankings, TikTok popular videos, TikTok product-promotion video rankings, viral TikTok videos, TikTok video details, TikTok video sales data, video views, GMV filters, video engagement data, TikTok video search, TikTok video ranking, TikTok viral video chart, TikTok video detail, video analytics, or kalodata video search/detail. Activate even if the user does not mention “kalodata” when they want popular TikTok product-promotion video rankings or detailed sales and engagement data for a TikTok video
Guide for migrating Dagster projects to Apache Airflow 3 on Astro. Use when the user mentions migrating, converting, or porting Dagster (or Dagster+) code to Airflow or Astro, wants to plan or assess such a migration, or asks what a Dagster construct maps to in Airflow. Covers assets, partitions, schedules, sensors, declarative automation, resources, IO managers, ops/jobs, dbt, Pipes, Components, and Dagster+ platform config. Always load this skill as the first step for any Dagster-to-Airflow request
Migrate a brain from gbrain-base (or any pack) to gbrain-base-v2's 14-canonical-type taxonomy via gbrain onboard --check + the unify-types Minion handler. Collapses 94 noisy types to 15 canonical with subtypes, alias rows, and link rows. Triggers when an agent notices pack_upgrade_available, type_proliferation, or asks "what is the canonical taxonomy / how do I clean up my page types".
Create, edit, and fully analyze spreadsheets with support for formulas, formatting, data analysis, and visualization. Use when Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc.) to: (1) create new spreadsheets with formulas and formatting; (2) read or analyze data; (3) modify existing spreadsheets while preserving formulas; (4) analyze and visualize spreadsheet data; or (5) recalculate formulas
Query DTS (Data Transmission Service) task status and details across all Alibaba Cloud regions. v12.1: Enhanced reliability - Timeout increased to 10s, exponential backoff (0.2s, 0.4s) for better timeout handling. Parallel execution remains 6-8x faster than v10 (39s → 6s with --workers 16). API retry logic ensures consistent results (no count variations). Supports filtering by instance ID or job name. Automatically polls all 27 regions and 3 job types. Strictly filters for PrePaid/PostPaid tasks and outputs a full Chinese report with Region information. Tasks are grouped by type (Migration/Sync/Subscribe) and sorted by CreateTime within each group. Use this skill when: checking DTS task status, finding migration/sync tasks, verifying task counts, or filtering tasks by instance ID or job name.
Alibaba Cloud MongoDB full lifecycle management: create/query/scale/delete standalone, replica set, sharded cluster instances. Covers node management, security (whitelist/security group), public & SRV address, password reset, renewal, billing conversion, cloud disk reconfiguration, maintenance window, backup, version upgrade, HA switchover, account & tag management. Triggers: "MongoDB", "create MongoDB", "dds instance", "list instances", "MongoDB scaling", "add Mongos/Shard node", "MongoDB whitelist", "reset password", "allocate public address", "SRV address", "MongoDB renewal", "billing type conversion", "cloud disk reconfiguration", "delete MongoDB instance", "maintenance window", "restart MongoDB", "MongoDB backup", "upgrade MongoDB version", "HA switchover", "MongoDB tags", "MongoDB account"
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.
