Skills
97,501 packaged capabilities and playbooks for agents. Install any of them with one command.
Data & databases
Diagnoses ClickHouse SELECT query performance, query patterns, slow queries, failures and optimization opportunities. Use for query latency, timeouts, high CPU queries, queries reading too much data and repeated expensive query patterns.
Diagnoses ClickHouse disk usage, compression efficiency, part sizes, storage policies and IO throughput. Use when disks fill up, data grows faster than expected, compression looks poor, IO or merges are slow, or detached and tiny parts accumulate.
Use this skill when the user needs to track and manage lawyer hours, expert fees and investigation costs, control litigation costs, or issue timesheets or expense invoices to clients. Typical triggers include but are not limited to: - Mentions of keywords such as "work hours", "expert fees", "investigation costs", "case costs", "timesheet", "expense invoice", "budget", "cost control" - Questions about a lawyer's work hours, the costs of a case, or litigation costs - The user requests a summary of lawyer work hours, a case timesheet, or a case expense invoice for delivery to a client or for reimbursement - The need to prepare a budget, monitor budget execution, or analyze budget variance for a case or retainer service - The need to assess litigation costs against expected returns and conduct a litigation cost-benefit analysis
Help with CDS (Core Data Services) view entity development including data modeling, annotations, associations, compositions, access controls, aggregate expressions, built-in functions, and input parameters. Use when users ask about CDS views, CDS view entities, CDS annotations, CDS associations, CDS compositions, CDS access control, CDS metadata extensions, data modeling in ABAP, define view entity, define root view entity, semantic annotations, UI annotations, or building CDS data models for RAP or analytical scenarios. Triggers include "create a CDS view", "define view entity", "add an association", "CDS annotation", "access control", "composition", "CDS hierarchy", "CDS aggregate", "CDS functions", or "data model".
Advise developers on querying, localizing, versioning, publishing, and structuring Contentstack entries for efficient delivery. Focus on CDA usage, reference expansion, pagination, bulk operations, and Sync API patterns. Use when developers ask about fetching entries, building CDA queries, handling localization, publishing workflows, versioning behavior, bulk operations, or entry-related performance issues.
Benchmark compensation against market data. Trigger with "what should we pay", "comp benchmark", "market rate for", "salary range for", "is this offer competitive", or when the user needs help evaluating or setting compensation levels.
Run the managed Orbit CLI through glab for remote graph queries and local code-graph workflows. Use when installing or updating Orbit, checking graph status, querying a remote Orbit graph, indexing or searching a local code graph, forwarding Orbit help, or troubleshooting managed-binary authentication. Triggers on orbit, knowledge graph, code graph, graph query, graph status, glab orbit, orbit-cli, orbit binary.
Build and validate a custom Kitaru trace importer when a provider, observability platform, export format, or agent framework has no suitable built-in importer. Use when a user wants to map provider traces into Kitaru sessions and nodes, add bounded provider API fetching, join per-turn traces into longer sessions, preserve incomplete or failed trace evidence, choose script or package installation, test importer fidelity, register an importer version, import a bounded sample, or diagnose a partial import.
Enterprise data query, filtering, and relationship analysis. Covers business registration information, shareholder equity, outbound investment, operational developments, operational and judicial risks, intellectual property, bidding and tenders, and news and public sentiment, supporting one-stop queries and insights. Supports filtering companies and bulk company discovery by region, industry, founding date, industry chain, company size, qualifications and honors, and bidding records, for customer prospecting, opportunity discovery, and target customer targeting. Supports identifying corporate equity structures and relationships (equity relationships, control relationships, affiliated companies, ultimate beneficial owners). Suitable for company information queries, filtering and analysis, risk assessment, data statistics, company comparison, and relationship judgment. Entering a company short name automatically fuzzy-matches the full name. Requires KUAICHA_API_KEY.
Provides comprehensive guidance for MySQL including SQL syntax, functions, indexing, optimization, replication, backup, and high availability. Use when the user asks about MySQL, needs to write MySQL queries, design database schemas, optimize performance, or manage MySQL databases.
Periodic sales performance review composite. Aggregates ALL sales initiatives taken in a given period — outbound campaigns, inbound efforts, events, partnerships, content, referrals — and measures the impact of each on pipeline and revenue. Produces a team-presentable report covering initiative-level performance, cross-initiative comparisons, pipeline attribution, what's working, what's not, and where to invest next. Tool-agnostic — pulls data from any combination of CRM, outreach tools, and tracking systems.
Shopee public market intelligence via unified host MCP `topview-mcp` (progressive disclosure: use_shopee_data → get_tool_schema → call_tool). Use when: Shopee site/category market analysis, item ranking/detail, shop/brand analysis, hot-search keyword research across Shopee sites (tw/my/id/th/ph/sg/vn/br). NOT for: Amazon, TikTok Shop, YouTube creators, or media generation (use topview-amazon-ops, topview-tiktok-shop-ops, topview-youtube-kol-ops, or topview-generate).
Render and extract web page content via AceDataCloud's WebExtrator API. Use when scraping a page's final rendered HTML, or extracting typed structured data (Article, Product, Recipe, Video, Discussion, Job) plus clean markdown/text from any URL. Real headless Chromium with schema.org + LLM extraction.
Import documents and perform knowledge retrieval via WeKnora API. Use when uploading files, URLs, or Markdown to a knowledge base, searching knowledge with hybrid retrieval (vector + keyword), or querying knowledge details. Triggers: (1) uploading documents to a knowledge base, (2) hybrid search across knowledge bases, (3) listing/querying knowledge base contents.
Analyzes the ClickHouse mark cache, uncompressed cache, query cache and compiled expression cache, their hit ratios and their RAM footprint. Use when cache hit ratios are poor, caches take too much RAM, mark counts look excessive, or cache sizing needs tuning.
Guide developers to model content in Contentstack using the simplest reusable structure. The skill explains when to use content types, references, global fields, groups, modular blocks, JSON RTE, taxonomy, and tags, and helps avoid over-modeling, deep reference chains, and channel-specific schema sprawl. Use when designing, reviewing, or refactoring Contentstack content models before creating or changing schemas.
DAX (Data Analysis Expressions) mastery for Power BI semantic models. PROACTIVELY activate for: (1) writing DAX measures or calculated columns, (2) CALCULATE, FILTER, ALL, REMOVEFILTERS context-modification functions, (3) understanding filter context vs row context vs context transition, (4) time intelligence (SAMEPERIODLASTYEAR, DATEADD, YTD/MTD, TOTALYTD, DATESBETWEEN), (5) iterators (SUMX, AVERAGEX, FILTER), (6) variables (VAR/RETURN) and DAX optimization, (7) calculation groups, field parameters, and visual calculations, (8) WINDOW/INDEX/OFFSET/ORDERBY/PARTITIONBY/MATCHBY (window functions), (9) DAX user-defined functions (UDF), (10) DAX patterns for ratios, running totals, ranking. Provides: measure templates, time-intelligence patterns, optimization techniques (variables, FILTER vs CALCULATETABLE), context-transition explainers, and reference for window functions and calculation groups.
Create, wire, and publish Fabric Eventstream real-time streaming topologies via the Items REST API. Build definitions with 25 source types (Event Hubs, IoT Hub, CDC, Kafka, SampleData), 8 operators (Filter, Aggregate, GroupBy, Join, ManageFields, Union, Expand, SQL), 4 destinations (Lakehouse, Eventhouse, Activator, Custom Endpoint), DefaultStream/DerivedStream routing. **Invoke this skill** to: (1) author Eventstream topology, (2) add Event Hub source, (3) add filter operator, (4) add CDC source with Debezium flattening, (5) wire destinations, (6) modify/delete Eventstream definitions. Invoke before making topology changes. Triggers: "create eventstream", "deploy eventstream", "eventstream topology", "add source to eventstream", "add event hub source", "add filter operator", "eventstream filter", "eventstream destination", "CDC source", "eventstream operator", "eventstream definition", "update eventstream", "wire eventstream", "real-time ingestion pipeline", "eventstream topology deployment".
Use when designing OData queries, datasources, flows, or reports that touch Footprint WMS data — i.e. anything querying entities like Tasks, Shipments, ArchivedShippingLicensePlateContents (ASLPC), LicensePlate, Lot, Material, Project, Owner, or any Footprint operational concept (receiving, shipping, inventory archive, license plates, fixed/catch weight, packaging). Captures the navigation chains, filter conventions, weight calculations, and exclusion rules that the OData metadata alone doesn't reveal. Use BEFORE building a flow datasource over a Footprint entity. Skip for non-Footprint apps (custom apps with no WMS data).
Comprehensive SQL statement checking for HetuEngine, supporting two check modes: 1. Syntax Check - Keyword validation, statement structure verification, clause completeness, HetuEngine syntax compatibility based on Presto/Trino + Hive grammar definitions 2. Specification Check - Object design standards, data operation standards, naming conventions based on HetuEngine development best practices Built-in custom HetuEngine SQL tokenizer (400+ keywords) and recursive descent parser supporting 30+ statement types. Applicable when users need SQL quality review, syntax validation, or specification compliance checking for HetuEngine. 触发词："HetuEngine SQL检查"、"Hetu SQL规范"、"Hetu SQL审计"、"Hetu SQL语法"、"Hetu SQL优化"、"检查Hetu SQL"、"HetuEngine SQL review"
Provides expert-level analysis and diagnosis for Meta Ads campaigns. Use this skill to interpret performance data, identify root causes of issues, and generate actionable recommendations, with a special focus on correctly handling the 'Breakdown Effect'.
Helps users configure mirrord.json for database branching, enabling isolated database copies for safe development and testing. Use when the user wants to set up MySQL, MariaDB, PostgreSQL, MSSQL, MongoDB, Redis, DynamoDB, ClickHouse, Google Spanner, Amazon S3, turbopuffer, or generic branches, configure copy modes, connection sources, schema migrations, IAM authentication, or manage database branches.
Build the case for converting a PostHog monthly/PAYG customer to an annual prepaid credit plan. Pulls 12-24 months of invoice history from the data warehouse, runs the handbook eligibility check, projects forward growth, applies the handbook discount tiers, scans recent customer touchpoints (Slack, Gmail, Granola) for confounding variables, fetches customer momentum signals via Exa, emulates the rep's own writing voice, and emits a succinct briefing plus a plain-text Slack draft. Trigger on "annual conversion math for [account]", "monthly to annual for [account]", "draft annual nudge for [account]", or "credit-discount math for [account]".
React bindings for TanStack DB. Prefer useLiveQuery({ query }) with derived structured query identity. Provide queryKey only for opaque functional query variants or very hot render paths. Dependency arrays are legacy and warn before 1.0 removal. useLiveSuspenseQuery for React Suspense with Error Boundaries (data always defined). useLiveInfiniteQuery for cursor-based pagination (pageSize, fetchNextPage, hasNextPage, isFetchingNextPage). usePacedMutations for debounced React state updates. Return shape: data, state, collection, status, isLoading, isReady, isError. Import from @tanstack/react-db (re-exports all of @tanstack/db).
Evaluate scientific claims and evidence quality. Use for assessing experimental design validity, identifying biases and confounders, applying evidence grading frameworks (GRADE, Cochrane Risk of Bias), or teaching critical analysis. Best for understanding evidence quality, identifying flaws. For formal peer review writing use peer-review.
Comprehensive scientific research toolkit with 139 specialized skills for biology, chemistry, medicine, data science, and computational research. Transforms Claude into an AI research assistant with access to scientific databases, analysis tools, and domain-specific workflows.
Extract tables, form fields, barcodes, and document layout from PDFs or images (scanned PDFs, PNG/JPG) using Syncfusion Smart Data Extractor. Trigger when users ask to parse/extract/convert document data (invoices, receipts, KYC/forms) into structured output and want C#/.NET integration code using the extractor.
Amazon public market intelligence via unified host MCP `topview-mcp` (progressive disclosure: use_amazon_data → get_tool_schema → call_tool). Use when: Amazon market/category research, ASIN/product screening, competitor lookup, listing/keyword/traffic analysis, review VOC, trend or trademark risk checks, SellerSprite-style public Amazon data. NOT for: TikTok Shop, Shopee, YouTube creator pool, or video/image/avatar generation (use topview-tiktok-shop-ops, topview-shopee-ops, topview-youtube-kol-ops, or topview-generate).
Query MaxCompute (ODPS) Information Schema metadata views. Tenant-level (SYSTEM_CATALOG.INFORMATION_SCHEMA.*, recommended) or project-level (Information_Schema.*, deprecated). NL→SQL for IS views: tables, columns, partitions, tasks_history, tunnels_history, table_privileges, users, user_roles, quota_usage, etc. NOT for: DDL/DML, listing tables via MCP, running ad-hoc SQL, general MaxCompute questions.
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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.