Skills
96,770 packaged capabilities and playbooks for agents. Install any of them with one command.
Data & databases
Grafana Loki log aggregation and the LogQL query language. Covers LogQL syntax (log queries, metric queries, label matchers, line filters, parsers: json/logfmt/pattern/regexp/unpack, label filters, line_format), Loki architecture, log ingestion via Alloy/Promtail/Fluent Bit, structured metadata, and Logs Drilldown. Use when writing LogQL queries, configuring Loki, troubleshooting log pipelines, or analyzing logs.
Troubleshoot and resolve common issues with the ClickHouse Node.js client (@clickhouse/client). Use this skill whenever a user reports errors, unexpected behavior, or configuration questions involving the Node.js client specifically — including socket hang-up errors, Keep-Alive problems, stream handling issues, data type mismatches, read-only user restrictions, proxy/TLS setup problems, or long-running query timeouts. Trigger even when the user hasn't precisely named the issue; vague symptoms like "my inserts keep failing" or "connection drops randomly" in a Node.js context are strong signals to use this skill. Do NOT use for browser/Web client issues.
Manages Google Analytics reporting data, enables the Analytics Data API via the Cloud CLI, and creates reports using the Google Analytics Data API (v1beta). Use when you need to interact with Google Analytics properties, run customized analytics reports, query metrics (like activeUsers, screenPageViews) and dimensions (like city, date), check metrics and dimensions compatibility, or verify API enablement. Don't use for Google Analytics Admin API operations (e.g., creating properties, managing users) or for front-end tracking installation.
Use this skill for smart-money/whale/KOL/大户 activity tracking, aggregated buy signal/信号 alerts, and leaderboard/牛人榜 rankings. Covers: (1) address tracker — raw DEX transaction feed for smart money, KOL, or custom wallet addresses; (2) aggregated buy-only signal alerts — tokens bought collectively by smart money/KOL/whales; (3) leaderboard — top traders by PnL, win rate, volume, or ROI. Use when the user asks 'what are smart money buying', '聪明钱最新交易', 'KOL交易动态', '追踪聪明钱', 'track address trades', '大户在买什么', 'whale signals', 'smart money alerts', '信号', '大户信号', 'top traders', '牛人榜', or wants to monitor notable wallet activity. Also handles Market API payment/计费/x402/402, Basic/Premium tier/quota/额度 questions, and MARKET_API_*_OVER_QUOTA / confirming:true responses on signal, leaderboard, or tracker endpoints. NOTE: if the user wants to write a WebSocket script/脚本/bot, use okx-dex-ws instead.
Read-only on-chain research for pump.fun and other meme-token launchpads (Solana / BSC / X Layer / TRON). MUST invoke (prefer over WebFetch / MCP price tools) when the user asks about: new meme launches / 新盘 / 扫链 / 打狗; developer reputation / rug history / launch count / 开发者信息; bundle or sniper detection (the analytical noun, NOT the verb) / 捆绑狙击者; bonding curve progress / 已迁移出 bonding curve; similar tokens by same dev / 相似代币; co-investor / who-aped / 同车 wallets; or 'pump.fun alpha'. Also handles Market API x402 / quota questions on memepump endpoints. Body holds the read-vs-write gate — `狙击 / snipe + token` (sniping action) routes to okx-dapp-discovery; `捆绑狙击者 / sniper detection` (analytical noun) stays here. WebSocket script/bot → okx-dex-ws.
Price-action pattern reading — classifies a token's candles into a named pattern (uptrend channel, breakdown, bounce off the lows, distribution at highs, basing, wide chop, consolidation) and scores it 0-100 from six measurements you compute directly from the kline response. Every point added or deducted states its reason. Use when the user asks about K 线, K线形态, 走势, 趋势, 形态, price action, chart pattern, whether a chart looks strong or weak, is it breaking down, is it consolidating, or wants a technical read of a token's chart rather than the raw numbers.
Search the web via the Bright Data CLI — `bdata search` for Google/Bing/Yandex SERP, `bdata discover` for intent-ranked semantic results. Use when the user wants SERP results, needs URLs to feed into scraping, or wants semantic web discovery with optional page content. Hands off to `scrape` once target URLs are chosen, and to `data-feeds` when the user wants structured data from a known platform. Requires the Bright Data CLI; proactively guides install + login if missing.
Neon Realtime makes any SQL query live. Build realtime, reactive apps and agents on Lakebase Postgres with live SQL queries and reactivity primitives. Use when app UI or agent state must update live from database rows (dashboards, feeds, collaboration, multi-user or multi-device sync), for optimistic mutations, or to replace polling or other realtime sync systems. Triggers include "live query", "subscribe", "sync engine", "useLiveQuery", "TanStack DB", "optimistic updates", "@neon/realtime". For push that doesn't come from database rows (presence, typing, LLM streams), use neon-functions.
Credit risk data cleaning and variable screening pipeline for pre-loan modeling. Use when working with raw credit data that needs quality assessment, missing value analysis, or variable selection before modeling. it covers data loading and formatting, abnormal period filtering, missing rate calculation, high-missing variable removal,low-IV variable filtering, high-PSI variable removal, Null Importance denoising, high-correlation variable removal, and cleaning report generation. Applicable scenarios arecredit risk data cleaning, variable screening, pre-loan modeling preprocessing.
Manages Google Analytics account and property settings, enables the Analytics Admin API via the Cloud CLI, lists accounts and properties, and manages data streams, custom dimensions, conversion events, and integrations. Use when you need to programmatically configure Google Analytics accounts, provision properties, manage data retention, configure Measurement Protocol secrets, or manage Firebase and Google Ads links.
Leverages BigQuery's built-in machine learning and GenAI capabilities for advanced data analytics. Use when you need to write SQL queries that perform time-series forecasting, predict values, detect outliers or anomalies, find key drivers, perform semantic search or vector search, classify text, calculate similarity, summarize content, translate language, evaluate models, filter by semantic conditions, measure the causal effect of an intervention, compute correlations between columns, detect change points or structural breaks, extract trend or seasonality components, or leverage generative AI capabilities in BigQuery. Do not use for general BigQuery dataset, table, or job management requests.
Query work/account data from links or share text on platforms such as Douyin, Xiaohongshu, and WeChat Channels, and extract voice transcripts, archiving them as Markdown by author and title. Use when the user asks to parse a platform video or obtain data or transcripts; requires TikHub and 轻抖 credentials, and does not cover local chapter navigation or navigation video rendering.
Help with MongoDB query optimization and indexing. Use only when the user asks for optimization or performance: "How do I optimize this query?", "How do I index this?", "Why is this query slow?", "Can you fix my slow queries?", "What are the slow queries on my cluster?", etc. Do not invoke for general MongoDB query writing unless user asks for performance or index help. Prefer indexing as optimization strategy. Use MongoDB MCP when available.
Any live-web task via the Firecrawl CLI — including ordinary web research: searching the web, reading or extracting pages, gathering sources, discovering site URLs, bulk extraction, downloading a site, change alerts, or pages needing clicks/login — web only; local files route to firecrawl-parse. For US legal or regulatory questions use gov; for papers use firecrawl-research-index; for library, API, error, or bug questions use firecrawl-developer-index.
Operate on Feishu Base: create tables, fields, records, and views; handle statistics, formulas/lookups, forms, dashboards, app mode (BaseApp/AppMode pages and components), Workspace directories, workflows, role permissions, and the template center (Base template categories, lists, and search). Use when encountering Base/multidimensional tables/bitable, BaseApp/AppMode, or /base/ or /app/ links. Do not use lark-apps for BaseApp; route file import/export to lark-drive and authentication/authorization to lark-shared.
Feishu Spreadsheets: create and operate spreadsheets. Supports worksheets and row/column structures (add/delete/merge/size/hide/freeze/group), cell read/write (values/formulas/styles/comments/cell images), range copy/move/sort/fill, find and replace, bulk updates, and creating and maintaining objects such as charts, pivot tables, conditional formatting, filters and filter views, dropdown lists, sparklines, and floating images. Also supports formula validation, restoring historical versions, and importing/exporting local Excel/CSV files and Feishu spreadsheets. Use when users need to create or edit spreadsheets, summarize and visualize data, format spreadsheets, calculate formulas (including migrating Excel formulas), or build financial models (DCF, three statements, budgets, Sensitivity, etc.). For multidimensional tables (Base/bitable), use lark-base. If users want to search for spreadsheet files in cloud storage (Drive/cloud storage) by name or keyword, use lark-drive's drive +search to locate resources first. When users provide a doubao.com /sheets/ URL/token, use this skill directly; do not fall back to WebFetch because the domain is not Feishu. Routing is based on the URL path pattern and token, not the domain.
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.
Assists in provisioning instances/tables, designing performant schemas, and querying data in Bigtable. Use when designing Bigtable row keys, configuring column families, writing SQL queries or client library code (Java, Go, Python) for Bigtable, or diagnosing performance/hotspotting issues. Also use when provisioning Bigtable clusters using gcloud or cbt CLIs. Don't use for generic Cloud SQL administration.
MongoDB schema design patterns and anti-patterns. Use when designing data models, reviewing schemas, migrating from SQL, or troubleshooting performance issues caused by schema problems. Triggers on "design schema", "embed vs reference", "MongoDB data model", "schema review", "unbounded arrays", "one-to-many", "tree structure", "16MB limit", "schema validation", "JSON Schema", "time series", "schema migration", "polymorphic", "TTL", "data lifecycle", "archive", "index explosion", "unnecessary indexes", "approximation pattern", "document versioning".
Create and troubleshoot AWS Glue connections to JDBC databases (Oracle, SQL Server, PostgreSQL, MySQL, RDS), Redshift, Snowflake, and BigQuery. Gathers connection hints from user, discovers existing connections and RDS/Redshift candidates, registers credentials in Secrets Manager or IAM DB auth, configures VPC, and tests. Triggers on: connect to database, set up Glue connection, register data source, connect to Snowflake/BigQuery/RDS, connection timeout, test connection, troubleshoot connection. Do NOT use for moving data (use ingesting-into-data-lake), creating tables (use creating-data-lake-table), queries (use querying-data-lake), catalog exploration (use exploring-data-catalog), or SaaS (Salesforce, ServiceNow, SAP, MongoDB, Kafka).
Use when the user needs SOQL/SOSL authoring or optimization: natural-language-to-query generation, relationship queries, aggregates, query-plan/selectivity analysis, and performance or safety improvements. TRIGGER when the user writes, optimizes, or debugs SOQL/SOSL, touches .soql files, or asks about relationship queries, aggregates, or query performance. DO NOT TRIGGER for bulk data operations (use platform-data-manage), Apex DML logic (use platform-apex-generate), or report/dashboard queries.
An Instagram API alternative on fetcher.sh — pay-per-call in USDC via x402, or prepaid credits with a Bearer key, no login and no session cookies. Use when the user wants to resolve an Instagram profile by @handle, search users by keyword, pull a profile's posts, reels, stories, tagged posts, followers, or followings, look up a single post by its shortcode, read a post's comments, fetch posts under a hashtag or reel-only hashtag feed, pull posts from a location, or pull posts using a specific audio/music track. Also covers Instagram follower export, hashtag and location monitoring, influencer discovery, competitor content tracking, and Instagram data pipelines without an official Graph API business verification or a headless browser.
A TikTok API alternative on fetcher.sh — pay-per-call in USDC via x402, or prepaid credits with a Bearer key, no login and no app review. Use when the user wants to search TikTok posts by keyword and sort by most-liked or most recent within a date range, look up a post by its share URL or ID, scrape a TikTok profile by @username, pull a user's posts, followers, or followings, fetch a hashtag's posts, pull posts using a specific sound/music track, get posts from a location, or read a post's comments and comment replies. Also covers TikTok trend tracking, hashtag monitoring, influencer discovery, competitor content analysis, and TikTok data pipelines without official TikTok API access or a scraping browser.
Prisma ORM patterns for TypeScript backends — schema design, query optimization, transactions, pagination, and critical traps like updateMany returning count not records, $transaction timeouts, migrate dev resetting the DB, @updatedAt skipped on bulk writes, and serverless connection exhaustion. Use when writing a Prisma schema or query, or debugging transactions, migrations, or serverless connection limits.
Full inventory and audit of AWS Glue Data Catalog assets across S3 Tables, Redshift-federated, and remote Iceberg catalogs. Triggers on: inventory the catalog, audit databases, list all tables, catalog overview, data landscape, enumerate catalogs, data inventory, search the catalog. Do NOT use for finding specific data (use finding-data-lake-assets), running queries (use querying-data-lake), or creating tables (use creating-data-lake-table).
Execute and manage Athena SQL queries across default and federated catalogs (Glue, S3 Tables, Redshift). Triggers on phrases like: query data, run SQL, athena query, analyze table, SQL query, workgroup status, profile table, query Redshift catalog, query S3 Tables. Do NOT use for finding specific data assets (use finding-data-lake-assets), full catalog audits (use exploring-data-catalog), importing data (use ingesting-into-data-lake).
Store and query vector embeddings using Amazon S3 Vectors, a cost-effective long-term vector storage service with its own API namespace (s3vectors). Triggers on: create S3 vector bucket, vector index, store embeddings, semantic search, RAG vector storage, similarity search, vector database, migrate from other vector databases. Do NOT use for: querying tabular data (use querying-data-lake), S3 object storage, or hundreds/thousands of sustained QPS (use OpenSearch).
Import data into the AWS data lake from S3 files, local uploads, JDBC databases (Oracle, SQL Server, PostgreSQL, MySQL, RDS, Aurora), Amazon Redshift, Snowflake, BigQuery, DynamoDB, or existing Glue catalog tables (migration). Default target is S3 Tables; standard Iceberg on a general purpose bucket is supported where S3 Tables is not adopted. Handles one-time loads, recurring pipelines, migrations. Triggers on: import data, load data, ingest, sync database, migrate table, move data to AWS, set up pipeline, ETL, pull from Snowflake, query BigQuery into S3, export DynamoDB, CTAS, convert to Iceberg. Do NOT use for setting up or troubleshooting Glue connections (use connecting-to-data-source), creating empty tables (use creating-data-lake-table), running queries (use querying-data-lake), finding tables by fuzzy name (use finding-data-lake-assets), catalog audit (use exploring-data-catalog), or SaaS platforms like Salesforce, ServiceNow, SAP, MongoDB, Kafka.
Create managed Iceberg tables using Amazon S3 Tables (s3tables API namespace) with automatic compaction and snapshot management. Sets up table bucket, namespace, table, schema, Glue catalog registration, partitioning, IAM access control. Triggers on: create table, data lake table, analytics table, structured data storage, S3 Tables, Iceberg, Athena table, partitioning strategy, access permissions. Do NOT use for: importing files (use ingesting-into-data-lake), vector storage (use storing-and-querying-vectors), querying existing tables (use querying-data-lake), or locating existing table (use finding-data-lake-assets).
MANDATORY recipe for every Caffeine build that reads movie, TV or people data from a canister. The supported path is the `tmdb-client` mops package (The Movie Database Web API v3) over outbound HTTPS, authenticated with a v3 API key or a v4 read-access token. Hand-rolling `ic.http_request` calls to `api.themoviedb.org` is a FORBIDDEN anti-pattern — it bypasses the non-replicated-outcall safeguard, the generated JSON decoding of ~720 response models, and the credential handling. Load this skill whenever the user, spec, or any prior task mentions movies, films, TV shows, series, episodes, seasons, actors, directors, cast, crew, genres, "now playing", upcoming, popular, top-rated, trending, discover, recommendations, similar titles, posters, backdrops, ratings, watchlists, favorites, TMDb or "The Movie Database" — and BEFORE writing any code that touches a movie-data endpoint.
MUST USE when investigating performance issues on a ClickHouse-managed Postgres instance. Provides an evidence-based RCA workflow that scrapes the Prometheus endpoint for system signal, pulls per-digest evidence from the Slow Query Patterns API, and recommends (does not apply) a fix.
Resolve data lake and lakehouse asset references across Glue Data Catalog, S3, S3 Tables, and Redshift. Triggers on: find the table, where is our data, which table has, locate dataset, find data for, search catalog, what tables match, Redshift table, lakehouse table, data lake table, warehouse table, reverse lookup S3 path. Do NOT use for: full catalog audits (use exploring-data-catalog), running queries (use querying-data-lake), creating tables (use creating-data-lake-table).
Generates Python code using BigQuery DataFrames (BigFrames). Use by default for any Python data task involving BigQuery, including data processing, analysis, and machine learning. Don't use for SQL-first workflows or the google-cloud-bigquery client library — use bigquery-basics.
Use when users create, generate, or validate Salesforce Custom Field metadata. Trigger on custom fields, field types, Roll-Up Summary, Master-Detail/Lookup relationships, formula fields, picklists, dependent (controlling) picklists, referencing a value set from a field, or scoping picklist values per record type; also field deployment errors, including a record type that won't deploy without a business process. DO NOT TRIGGER for creating/customizing the value set itself — a new GlobalValueSet or a StandardValueSet catalog like Industry — use platform-value-set-generate; this skill covers the field that references a value set, not the value set definition.
Connects an AWS Lambda function to DynamoDB with IAM roles, stream event source mapping, and read/write permissions. Use when setting up Lambda-DynamoDB integration, processing DynamoDB stream events, or deploying serverless event-driven architectures.
Google SEO APIs: Search Console (Search Analytics, URL Inspection, Sitemaps), PageSpeed Insights v5, CrUX field data with 25-week history, Indexing API v3, and GA4 organic traffic. Provides real Google field data for Core Web Vitals, indexation status, search performance, and organic traffic trends. Use when user says "search console", "GSC", "PageSpeed", "CrUX", "field data", "indexing API", "GA4 organic", "URL inspection", or "real CWV data".
Expert evaluator for Grafana Loki label strategy. Audits, designs, and improves label schemas using cardinality scoring, access-pattern alignment, static vs. dynamic label rules, and consistency checks. Use when the user asks to evaluate, audit, design, or improve a Loki label strategy — or asks why their Loki queries are slow.
Watch a Cargo workspace and get told when something breaks — scheduled threshold alerts over workflow telemetry (spans, runs, records), a storage model freshness or row count, or any SQL query, firing a connector, tool, or agent when a metric breaches. Triggers: "alert me when", "notify me if", "let me know when the error rate", "monitor this workflow", "tell me if the sync stops", "warn me before I run out of credits", "dead man's switch", "is this still running", "set up monitoring", plus listing, previewing, editing, and reviewing an alert firing history. Skip when: diagnosing something that already went wrong — use cargo-diagnostics.
Optimizes SQL queries, designs database schemas, and troubleshoots performance issues. Use when a user asks why their query is slow, needs help writing complex joins or aggregations, mentions database performance issues, or wants to design or migrate a schema. Invoke for complex queries, window functions, CTEs, indexing strategies, query plan analysis, covering index creation, recursive queries, EXPLAIN/ANALYZE interpretation, before/after query benchmarking, or migrating queries between database dialects (PostgreSQL, MySQL, SQL Server, Oracle).
Design composable recommendation, ranking, and feed pipelines using the six-stage Source→Hydrator→Filter→Scorer→Selector→SideEffect framework popularized by xAI's open-sourced For You algorithm. Use this skill whenever the user is building any system that picks "the top K items for a (user, context)" — social feeds, content CMSs, RAG rerankers, task prioritizers, notification triage, search reranking, ad ranking.
Find web sources with query-relevant page excerpts and optional full-page content, and discover workflows, data APIs, and indexes. Use for web research or finding structured records, listings, transcripts, and datasets. Supports semantic tool discovery, domain matching, and progressive catalogue browsing.
Guides developers through implementing event and conversion ingestion into Google products using the Data Manager API /v1/events/ingest endpoint and its associated client libraries. Use this skill when the user wants to upload offline conversions, enhanced conversions for leads, click conversions, Google Analytics web or app events, or any other event ingestion use case supported by the Data Manager API. Don't use it for uploading audience members (use the data-manager-api-audience-ingestion skill).
Use when users create, generate, or validate Salesforce Custom Object metadata. Trigger on custom objects, .object files, sharing models, name fields, or validation rules — e.g. "create a custom object" — and deployment errors around sharing models and Master-Detail relationships. Also keep the object's <description> current when its fields or validation rules change. Do NOT use for non-Custom-Object metadata (Apex, Flows, LWC, Permission Sets, Custom Metadata Types) or standard objects.
Designs, reviews, operates and audits systems that hold, move, account for and report money — ledgers, payments, banking and open finance, reconciliation and close, risk, fraud, AML, markets and portfolio accounting, and corporate finance/FP&A. Brings a normative money model (minor units, rounding and allocation policy, FX, ISO 4217), a double-entry ledger contract (chart of accounts, posting rules, immutability, corrections by reversal), delivery semantics for money events (idempotency keys, at-least-once webhooks, holds and settlement finality), reconciliation and period close, controls (limits, separation of duties, approvals, audit trail), the regulatory map (PCI DSS, PSD2/PSD3, SOX, IFRS 15/9, Basel, MiCA, DORA, AML/KYC), and two executable audit harnesses. Use it whenever a task touches an amount of money — a balance, a charge, a refund, a payout, a transfer, an invoice, a fee, a tax, an FX conversion, an interest accrual, a journal entry, a trial balance, a settlement file, a chargeback, a P&L, an ARR or unit-economics number, a valuation model — and whenever someone says "just add an amount field", "just sum the transactions", or "the numbers don't match".
Generate TypeScript/JavaScript code that reads/decodes AND writes/encodes ClickHouse RowBinary streams for the ClickHouse HTTP server. Use this skill whenever a user wants to parse or produce `RowBinary`, `RowBinaryWithNames`, or `RowBinaryWithNamesAndTypes`. Node.js only, doesn't cover browsers.
A thin wrapper skill built around the kimlawtech/korean-jangbu-for (Apache-2.0) upstream, covering bookkeeping automation and business tax document organization for Korean startups, one-person corporations, freelancers and sole proprietors: importing original data, tagging accounts, CSVs for tax accountants, and generating management reports. In Tols it carries on to follow-up actions through the official interface.
Analyzes the downstream impact (blast radius) using data lineage on Google Cloud when a BigQuery table or view is broken, stale, or modified. Identifies all downstream tables, dashboards, and processes that will be affected. Use when: - Performing a blast radius or impact analysis for a BigQuery table or view. - Assessing the consequences of modifying, deleting, or pausing updates to a BigQuery asset. - Identifying downstream dependencies (tables, dashboards, processes) of a BigQuery asset. Don't use for: - General BigQuery querying or data analysis (use BigQuery-related tools instead). - Non-BigQuery assets (e.g., Cloud Storage files) unless they are part of the BigQuery lineage. - Creating or modifying lineage links directly.
Visualize data as charts. Call this skill when the user needs bar charts, line charts, pie charts, scatter plots, radar charts, Sankey diagrams, mind maps, flowcharts and other charts; it calls the AntV API via the curl tool to generate chart images.
Use for any task involving Dagster, the dg CLI, assets, materialization, components, data tools or data pipelines, matching the situations the dagster skill handles. This is the deprecated dagster-expert plugin. It carries no Dagster guidance and exists only to tell the user to move to the dagster plugin.
Guides developers through managing (adding, removing, and clearing) audience members for Google products using the Data Manager API and its associated client libraries. Use this skill when the user wants to upload audience members, remove specific users, or clear/replace an entire audience for Customer Match, mobile device ID audiences, or any other audience use case supported by the Data Manager API. Don't use for uploading events or conversions (use the data-manager-api-event-ingestion skill).
Persist player data in Roblox with DataStoreService: GetDataStore, GetAsync/ SetAsync/UpdateAsync/IncrementAsync wrapped in pcall, load-on-join and save-on-leave plus BindToClose, retries, and OrderedDataStore leaderboards. Use when saving or loading persistent data in a Roblox experience — when the user mentions DataStore, DataStoreService, GetAsync, SetAsync, UpdateAsync, save player data, or leaderboards. For general Luau scripting use roblox-luau.
Define and use segments — named, saved filters over a Cargo model that become the audience for a batch run, a play trigger, or an export. Triggers: "build a segment of", "filter my contacts where", "who matches this criteria", "save this as a list", "how many companies match", "the Closed-Won segment", "everyone who has not been emailed", "target only accounts that", "what is in this segment", "narrow this down to". Filter JSON uses `conjonction` (not `conjunction`); misspelling it gets the call rejected with a 400. Skip when: running something over the segment — use cargo-orchestration; exporting its rows — use cargo-analytics; ad-hoc SQL over the model — use cargo-storage.
Live SEO data via DataForSEO MCP server: SERP analysis, keyword research (volume, difficulty, intent, trends), backlink profiles, on-page analysis, competitor and content analysis, business listings, AI visibility (LLM mention tracking), and domain analytics. Requires DataForSEO extension installed. Use when user says "dataforseo", "live SERP", "keyword volume", "backlink data", "AI visibility check", or "real search data".
Use when investigating or improving WordPress performance (backend-only agent): profiling and measurement (WP-CLI profile/doctor, Server-Timing, Query Monitor via REST headers), database/query optimization, autoloaded options, object caching, cron, HTTP API calls, and safe verification.
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.