Skills
97,222 packaged capabilities and playbooks for agents. Install any of them with one command.
Data & databases
Implement interactive 3D circular charts in Angular applications using Syncfusion. Covers pie and donut chart creation, data binding, data labels with positioning and templates, empty points handling, tooltips with custom formatting, legend configuration, titles and subtitles, and print/export functionality (PNG, SVG, PDF). Use this skill when creating 3D circular visualizations for data representation, comparison, and interactive user engagement.
Implement Syncfusion Angular HeatMap Chart component for visualizing two-dimensional data with color gradients. Use this skill whenever users need to create heatmaps, visualize data matrices, display data with color-coded cells, configure axes (numeric/categorical/datetime), add legends, customize colors and rendering modes, handle cell selection and events, or implement accessibility features. Includes data binding, axis types, interactive selection, tooltips, and bubble heatmaps.
Create and customize Syncfusion Angular Linear Gauge components for displaying measurements and metrics. Use this skill when user needs to implement a linear gauge, display scalar values in a linear scale, create measurement interfaces, configure ranges and pointers, add annotations, handle user interactions, or customize gauge appearance. Covers installation, configuration, events, accessibility, printing, and internationalization.
Use when you need Kafka messaging in Micronaut—including @KafkaClient and @KafkaListener design, @Serdeable serialization, topic/partition strategy, TestPropertyProvider integration tests, retries and dead-letter processing, and error handling. This should trigger for requests such as Add Kafka in Micronaut; Review Micronaut Kafka listeners; Improve retry and failure handling for Micronaut Kafka; Configure Micronaut Kafka clients listeners or SerDes; Add Micronaut Kafka retry or dead-letter handling. Part of Plinth Toolkit
MUST USE when designing ClickHouse architectures, selecting between ingestion or modeling patterns, or translating best practices into workload-specific system designs. Complements clickhouse-best-practices with decision frameworks and explicit provenance labels.
Extract and analyze cash flow trends and working capital changes from SEC filings using Octagon MCP. Use when researching operating cash flow, investing activities, financing activities, free cash flow, liquidity, and working capital dynamics from 10-K and 10-Q filings.
Plans and implements data retention policies with archival strategies, compliance requirements, automated cleanup jobs, and cold storage migration. Use for “data retention”, “data archival”, “GDPR compliance”, or “storage optimization”.
CLI/Python toolkit for rapid bioinformatics queries. Preferred for quick BLAST searches. Access to 20+ databases: gene info (Ensembl/UniProt), AlphaFold, ARCHS4, Enrichr, OpenTargets, COSMIC, genome downloads. For advanced BLAST/batch processing, use biopython. For multi-database integration, use bioservices.
How to query the document_embeddings table for raw signal data using HogQL. Use for semantic search over signals, fetching every signal that contributed to a specific report, or listing signal types. To browse the curated report layer (the Inbox)—list reports, filter by status/source, or drill into a report by ID—use the `inbox-exploration` skill first; use this skill afterward if the user wants the underlying observations
AKShare is an open-source financial data interface library providing a full range of financial data, including stocks, futures, options, funds, foreign exchange, bonds, indices, and cryptocurrencies. Use when the user needs data from various financial markets
Guides tenant isolation architecture in Qdrant for multi-tenant or multi-user applications. Use when someone asks how to isolate customer data, build multi-tenant search/RAG, decide how many collections to create, partition tenants by payload, or keep a customer's data in a specific country or region for legal reasons. Also use when one customer's data is much larger than others and slowing everyone down, or one tenant is hogging resources.
Use when interpreting biological research findings, evaluating life science evidence, analyzing molecular or cellular mechanisms, comparing competing biological hypotheses, designing or critiquing experiments in biology, genetics, genomics, cell biology, immunology, neuroscience, ecology, or any life science domain. Triggers on questions about gene function, pathways, phenotypes, GWAS hits, single-cell data, animal models, clinical translation, evolutionary arguments, or any biology/life science reasoning task.
Use when you need MongoDB persistence in Micronaut — including @MongoRepository design, document modeling, indexes, query patterns, and error handling. This should trigger for requests such as Add MongoDB in Micronaut; Review Micronaut Data Mongo design; Improve error handling for Micronaut Mongo operations; Model MongoDB documents for a Micronaut service; Configure Micronaut MongoDB codecs indexes or transactions. Part of Plinth Toolkit
Extract text from PDFs for LLM consumption. Use when processing PDFs for RAG, document analysis, or text extraction. Supports API services (Mistral OCR) and local tools (PyMuPDF, pdfplumber). Handles text-based PDFs, tables, and scanned documents with OCR.
Translate legacy HelixDB HQL (.hx QUERY/RETURN syntax) into direct published v3 Rust or TypeScript SDK requests. Use when the input contains HQL concepts such as typed node, edge, or vector sources; AddN/AddE/AddV; Out/In/OutE/InE; FromN/ToN; WHERE/EQ/GT/EXISTS; SearchV/SearchBM25; GROUP_BY/AGGREGATE_BY; ORDER/RANGE; UpsertN; RerankRRF; ShortestPath; Embed; or .hx files. Flags HQL features with no v3 DSL equivalent. When the target is Helix Cloud, always use helix-mcp first.
Assess whether index gains or declines are supported by sufficient market breadth, and identify whether the trend reflects healthy broad participation, narrow concentration, or a weak rebound. Suitable for evaluating overall market health, interpreting index trends, and making position decisions.
Comprehensive tool for scouting trending meme coins on DEX platforms like DexScreener. Use to discover trending tokens, analyze price movements, volume data, and risk assessments. Supports multiple timeframes (5m, 1h, 6h, 24h) and includes risk checks for specific tokens.
AI-powered deep research using Parallel AI APIs for chat, research reports, entity discovery, and data enrichment. Use this skill when doing web research, competitive analysis, market research, generating research reports, finding companies matching criteria, or enriching existing data. Triggers on research requests, competitive intelligence, finding companies, or data enrichment tasks.
Expert-level SQL database design, querying, optimization, and administration across PostgreSQL, MySQL, and SQL Server. Use when the user mentions database, PostgreSQL, MySQL, or query optimization, or when the task involves Database Design, Advanced Queries, Indexes and Performance, or Transactions and Concurrency.
SQL Server 2025 and SqlPackage 170.2.70 (October 2025) — vector databases, AI integration, and modern features. PROACTIVELY activate for: (1) SQL Server 2025 features, (2) vector type and vector indexes for AI, (3) Vector functions (VECTOR_DISTANCE, etc.), (4) AI integration (Azure OpenAI, embeddings, RAG), (5) JSON type and JSON_ARRAYAGG, (6) parameter sensitivity plan optimization, (7) SqlPackage 170.2.70 new features and switches, (8) Always Encrypted with secure enclaves on 2025, (9) ledger tables, (10) Azure Arc-enabled SQL Server. Provides: SQL 2025 changelog, vector type usage, AI integration patterns, SqlPackage 170.2.70 reference, and migration guidance.
QA an analysis before sharing with stakeholders — methodology checks, accuracy verification, and bias detection. Use when reviewing an analysis for errors, checking for survivorship bias, validating aggregation logic, or preparing documentation for reproducibility
Web scraping, search, crawling, and browser automation via the Firecrawl CLI. Use this skill whenever the user wants to search the web, find articles, research a topic, look something up online, scrape a webpage, grab content from a URL, extract data from a website, crawl documentation, download a site, or interact with pages that need clicks or logins. Also use when they say “fetch this page”, “pull the content from”, “get the page at https://”, or reference scraping external websites. This provides real-time web search with full page content extraction and cloud browser automation—capabilities beyond what Claude can do natively with built-in tools. Do NOT trigger for local file operations, git commands, deployments, or code editing tasks.
Write and revise queries with the published HelixDB Rust SDK (`helix-db = "3.0.0"`). Use for `read_batch`, `write_batch`, `#[query]`, direct `QueryRequest` values, traversal builders, projections, indexes, vector and BM25 search with traversal-scoped prefiltering, structured remote errors, and `Client::query`. Inspect local labels, edges, properties, and existing query patterns before inventing code. Stored routes, registration, and query bundles are not v3 SDK APIs. When the target is Helix Cloud, always use helix-mcp first.
Retrieve historical market capitalization data for any stock using Octagon MCP. Use when tracking market cap changes over time, analyzing valuation trends, identifying peak and trough valuations, and comparing historical size classifications.
Systematic investigation of metric changes and anomalies. Use when a metric changes unexpectedly, investigating business metric drops, explaining performance variations, or drilling into the drivers of aggregated metrics.
Create or extend a nao project's RULES.md. Owns the RULES.md template. Use when the user wants to generate the initial RULES.md from synced metadata (called by setup-context) or improve an existing RULES.md. Do not use for first-time scope setup (use setup-context) or diagnosing existing problems (use audit-context).
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.