Skills
97,222 packaged capabilities and playbooks for agents. Install any of them with one command.
Data & databases
Use when the user wants to analyze deal outcomes, conduct win/loss reviews, audit pipeline health, or improve deal inspection processes. Also use when the user mentions "win/loss analysis," "deal review," "pipeline audit," "why we lost," "deal inspection," "sales review," "forecast review," or "deal post-mortem." For ongoing deal documentation, see deal-documentation. For sales analytics, see sales-analytics.
Use this skill whenever users want to build, inspect, debug, automate, or publish workflows in Agentforce Grid (AI Workbench) using Salesforce plus the Grid MCP or direct Grid REST calls. Trigger it for Grid workbook creation, worksheet setup, Object/Reference/AI/Agent/AgentTest/Evaluation/PromptTemplate/InvocableAction column design, prompt drafting inside Grid, worksheet execution troubleshooting, Grid YAML `apply_grid` specs, and Windows-specific Grid setup issues. Also use it when users mention AI Workbench, Grid Studio, workbook IDs, worksheet IDs, Grid Connect, or ask for recipes like "top opportunities with AI email drafts", "agent test suite in Grid", or "build this worksheet from YAML". Do not use it for generic Salesforce work unrelated to Agentforce Grid.
Docling document parser for PDF, DOCX, PPTX, HTML, images, and 15+ formats. Use when parsing documents, extracting text, converting to Markdown/HTML/JSON, chunking for RAG pipelines, or batch processing files. Triggers on DocumentConverter, convert, convert_all, export_to_markdown, HierarchicalChunker, HybridChunker, ConversionResult.
Conducts comprehensive Magento 2 performance analysis and optimization. Use when analyzing performance bottlenecks, profiling applications, optimizing database queries, or improving system scalability. Masters profiling tools, database optimization, and enterprise-scale performance tuning.
Specialized utility for advanced manipulation, analysis, and creation of spreadsheet files, including (but not limited to) XLSX, XLSM, CSV formats. Core functionalities include formula deployment, complex formatting (including automatic currency formatting for financial tasks), data visualization, and mandatory post-processing recalculation.
Analyze mindshare, sentiment, and broader social metrics for a particular entity using Kaito MCP tools. Use this skill when the user asks about the social pulse of a particular entity, wants mindshare or sentiment trends, or wants a deeper anomaly-based explanation.
Compound-target-disease network construction and analysis for drug repurposing, polypharmacology discovery, and multi-target drug design. Uses STRING, BioGRID, ChEMBL, DGIdb, OMIM, OpenTargets. Use for off-target effect prediction, network-based drug repurposing, and identifying molecules with a desired multi-target profile
Use when the user wants to set up, improve, or audit sales metrics and pipeline tracking. Also use when the user mentions "sales metrics," "pipeline tracking," "CRM setup," "sales dashboard," "activity tracking," "conversion tracking," "win rate," or "sales reporting." For testing sales approaches, see ab-test-setup.
Cluster the top 100 highest-signal tweets for a resolved or user-specified crypto project into hot topics using Kaito MCP tools. Use this skill when the user wants a past-window social listening report with topic tagging, author enrichment, urgency scoring, and concrete response guidance.
Type-safe ORM for Cloudflare D1 databases using Drizzle. Use when: building D1 database schemas, writing type-safe SQL queries, managing migrations with Drizzle Kit, defining table relations, implementing prepared statements, using D1 batch API, or encountering D1_ERROR, transaction errors, foreign key constraint failures, or schema inference issues.
Author ZModel (.zmodel) data schemas for ZenStack V3. Use when defining models, fields, field/model attributes, relations (1-1, 1-many, many-many, self), enums, custom types & mixins, polymorphic models (@@delegate), strongly-typed JSON fields, or computed fields.
Create safe, reversible database migration scripts with rollback capabilities, data validation, and zero-downtime deployments. Use when changing database schemas, migrating data between systems, or performing large-scale data transformations.
Growth skills for indie Apple developers — user acquisition, analytics interpretation, press/media outreach, community building, and indie business operations. Also covers the stage-by-stage store-growth audit and the post-launch store-signals loop. Use when user asks about growing their app, auditing growth levers, understanding metrics, getting press coverage, or running an indie dev business
Use MPSTATS to drill down through Russian-language Ozon category paths and retrieve all products in a category. Returns full metrics for each SKU, including sales volume, revenue, price, rating, inventory, turnover, and lost sales; supports multidimensional numeric filtering, sorting, and currency conversion. Use for finding category bestsellers, blue-ocean opportunities, category ranking analysis, and observing brand landscapes. Trigger this skill when users mention Ozon category drill-down, Ozon category products, Ozon blue-ocean discovery, Ozon category bestsellers, Ozon category rankings, Ozon subcategory structure, Ozon niche SKUs, MPSTATS category, Ozon category drill-down, Russian marketplace niche, Ozon niche mining, or Ozon subcategory bestseller. Even if the user does not explicitly mention “MPSTATS,” trigger this skill when they intend to view sales, price, or ranking performance for all products under an Ozon category path.
Guide for querying DeFi yield and APY data using get_yield_pools. Covers pool filtering by token, chain, protocol, category, stablecoin-only mode, and capacity assessment. Explains APY conventions, lending vs borrowing rates, and sort options. Use when users ask about yields, APY, lending rates, borrowing costs, best pools, or DeFi yield strategies
Build with the Firestore NoSQL database: real-time sync, offline support, and scalable document storage. Use when creating collections, querying documents, setting up security rules, handling real-time listeners, or troubleshooting permission-denied, quota exceeded, invalid query, or offline persistence errors. Prevents 10 documented errors.
Search and filter TikTok global e-commerce products using FastMoss data. Supports keyword search, multidimensional filtering (category, store type, commission rate, sales volume, creator reach, etc.), and sorting. Trigger this skill when users mention TikTok product selection, TikTok product search, TikTok product data, TikTok creator sales, TikTok commission rates, TikTok hit-product tracking, TikTok GMV analysis, TikTok product search, TikTok product research, TikTok creator sales, TikTok commission rate, TikTok GMV analysis, or FastMoss. Even if the user does not explicitly mention “FastMoss,” trigger this skill whenever their request involves searching TikTok product data or analyzing product performance.
Extract structured data from thousands of pre-built Bright Data scrapers (e-commerce, social, jobs, maps, real estate and more) via the Bright Data CLI (`bdata pipelines search`, `info`, `run`). Use when the user wants clean JSON from a known site rather than raw HTML. Hands off to `scrape` when no scraper fits and to `search` when target URLs must be discovered first. Requires the Bright Data CLI 0.4.0+; proactively guides install + login if missing.
When the user wants to build or improve a sales bot's ability to compare prospects against best customer profiles. Also use when the user mentions "ICP matching," "ideal customer," "customer fit scoring," "profile matching," or "lookalike scoring."
Query VictoriaMetrics metrics via curl. Use when running PromQL/MetricsQL queries, discovering metrics/labels, checking alerts and rules, inspecting TSDB status, exporting raw data, checking metric usage statistics, or debugging relabeling/downsampling/retention configs. Triggers on: metric queries, PromQL, MetricsQL, label discovery, series exploration, cardinality checks, alert status, recording rules, active/top queries, export data, metric statistics, relabel debug, downsampling debug, retention debug, flags.
Expert-level PostgreSQL database administration, advanced queries, performance tuning, and production operations. Use when the user mentions databases, SQL, or performance, or when the task involves Advanced Data Types, Full-Text Search, Advanced Indexes, or Advanced Queries
Genomics and epigenomics analysis: DNA methylation (CpG, 5mC, 5hmC, bisulfite, RRBS), m6A RNA modification (MeRIP-seq), ChIP-seq peaks, ATAC-seq accessibility, histone modifications, chromatin state, multi-omics integration. Combines pandas/scipy/pysam computation with ToolUniverse annotation tools. Use for genome-wide epigenomic statistics, methylation analysis, and chromatin-genome integration
Search, query, and manage Weaviate vector database collections. Use for semantic, hybrid, and keyword search; natural language queries with AI-generated answers; collection management; data exploration; filtered fetching; data imports from PDF/CSV/JSON/JSONL files; and creating example data and collections.
When the user wants to improve deal documentation, CRM hygiene, or sales data structure. Also use when the user mentions "CRM," "deal notes," "opportunity management," "pipeline hygiene," "sales documentation," "deal tracking," "activity logging," or "forecast accuracy." For sales analytics, see sales-analytics. For sales playbooks, see sales-playbook-scaling.
Guides building and deploying Atlassian Forge Teamwork Graph connector apps that ingest external data into Atlassian's Teamwork Graph, making it searchable in Rovo Search and surfaced in Rovo Chat. Use when building a Forge connector, ingesting external data into Atlassian, connecting a third-party tool (e.g. Google Drive, ServiceNow, Salesforce) to Atlassian, making external content searchable in Rovo, building a graph:connector module, using the @forge/teamwork-graph SDK, or implementing onConnectionChange / validateConnection functions.
Retrieve full details for a single SKU on the Russian Ozon marketplace via MPSTATS. Pass an Ozon product ID (productId) to return the complete product card, including the SKU’s price, discount, Ozon Card price, rating, review count, stock, sales volume, revenue, potential revenue/lost revenue, listing date, images, and more. Triggers on mentions of Ozon product details, Ozon SKU details, checking Ozon prices/ratings/sales/stock, looking up a single Ozon SKU, fetching basic Ozon competitor data, Ozon competitor cards, MPSTATS Ozon detail, Ozon SKU detail, Ozon product card, single Ozon SKU lookup, or Russian marketplace product detail. Trigger this skill even without an explicit mention of "MPSTATS" if the intent is to fetch the full product card for a single Ozon SKU.
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.
