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Runs SQL queries against ClickHouse and browses databases and table schemas, read-only by default; can also enable embedded chDB to query data directly in files and URLs. Maintained by ClickHouse.

Intlayer's official MCP server: in projects using Intlayer, lets agents build dictionaries, fill in missing translations with AI, sync multilingual content with the Intlayer CMS and look up docs. Needs Node.js; AI translation needs your own LLM API key, CMS sync needs credentials.

Microsoft's official skill: has the agent use Microsoft Learn docs to call Azure text and document translation, enforce glossaries, train Custom Translator models and troubleshoot quotas and errors. For localization teams building batch translation; needs an Azure account and Translator resource.

Unbabel's machine-translation quality metric: comet-score rates translations per sentence and overall, XCOMET marks error spans and severity, and CometKiwi works without a reference. Good for spot-checking MT. Needs Python 3.8+; models download from Hugging Face, some need a license; GPU helps.

dbt Labs' official skills: write and edit dbt models, add unit tests and docs, set up the MetricFlow semantic layer, debug failed jobs, and handle dbt version upgrades and cross-platform migrations. Most skills need dbt installed and an existing project.

dbt Labs' official plugin marketplace with dbt and dbt-migration plugins: write models and unit tests, build semantic-layer metrics, govern with dbt Mesh, debug failed jobs, and handle version upgrades and cross-platform migrations. Most skills need an existing dbt project.

A research plugin for Claude Code: commands like /omp:survey, /omp:experiment and /omp:write chain literature review, topic selection, experiments, writing and self-review, with 5 specialized agents and 34 research skills that remember project progress across sessions. Experiments lean toward ML.

The five-agent PaperOrchestra pipeline (outline, figures, literature review, section writing, polishing) as skills: turns research ideas, experiment logs and a conference template into a LaTeX paper and checks citations via Semantic Scholar. Needs Python; verify the draft yourself.

Helps agents write geospatial SQL for PostGIS, DuckDB, BigQuery and Snowflake: inspect schemas and keep query costs in check, then render results as interactive maps to review and correct. Needs Python and your own database or warehouse; maps use Dekart, which can run locally in Docker.

Official SonarSource server: connects to SonarQube Server or Cloud so agents can query code issues, quality gates, security hotspots and dependency risks, and analyze file contents directly. Needs a SonarQube token; Docker is the recommended way to run it.

Official Firecrawl skill: drives the Firecrawl CLI to search, scrape, map site URLs, batch-crawl, interact with pages and monitor changes, returning LLM-ready Markdown. Search and scrape have a rate-limited free tier; crawling and monitoring need an account or self-hosted instance.

Firecrawl's official CLI: scrape, search, map and crawl sites and interact with pages in a browser from the terminal, with Markdown output; can also install companion skills for coding agents. Needs a Firecrawl account or API key, or point it at a self-hosted instance.

Microsoft Azure's official tool for translating Markdown, Jupyter notebooks and image text into 50+ languages; re-translates only changed parts and keeps links and formatting. Needs Python 3.11+ and an Azure OpenAI, OpenAI or Anthropic key; images need Azure AI Vision.

Uses an LLM to translate SRT, ASS and VTT subtitles into any language in batches, convert formats and transcribe audio or video. Install the CLI from source (Python 3.10+); needs an API key (e.g. OpenRouter) or a local model, and subtitles go to that provider.

Redis's official MCP server: read and write strings, hashes, lists, streams, JSON and other data structures in natural language, with vector indexing and search and pub/sub. Bring your own Redis instance; runs via uvx.

Lets agents deploy a local folder or file contents straight to Google Cloud Run, list services and view their details and logs, and list or create GCP projects. Maintained by Google; sign in with gcloud and set up Application Default Credentials first.

Railway's official CLI: deploy with railway up and manage infrastructure config, with token auth for non-interactive CI runs. The installer can set up the Railway skill and MCP for Claude Code, Codex and others in one step. Needs a Railway account.

Official Docker skills: containerize projects, optimize and harden Dockerfile builds, orchestrate with Compose, use Docker Sandboxes and Docker Agent, with confirmation guardrails before deletes and other destructive actions.

Lets agents read dbt project models, lineage and Semantic Layer metrics, run build, run and test commands, and call the dbt platform Discovery and Admin APIs. Maintained by dbt Labs; Semantic Layer and platform tools need a dbt platform account.

Official DuckDB skills: query local or S3 CSV, Parquet, Excel and JSON files with SQL or plain language, attach databases, convert formats, analyze spatial data and look up documentation. Needs the DuckDB CLI; tested only on macOS and Linux.

Elastic's official skills teaching agents to use Elasticsearch and Kibana correctly: index design, ES|QL queries, search relevance tuning, dashboards, observability troubleshooting and security alert triage. Currently a technical preview.

Manage Argo CD in natural language: list and inspect applications, create, update and delete them and trigger syncs, and view resource trees, workload logs and events. Maintained by Argo Project Labs; needs your Argo CD URL and an API token, with an optional read-only mode.

Chroma's official MCP: lets agents create and manage collections, add documents, and retrieve them with vector search, full-text search and metadata filters. Connects to in-memory or local persistent stores, self-hosted instances or Chroma Cloud.

Official ClickHouse skills: best practices for schema design, primary keys, JOINs and inserts ranked by impact, advice on real-time architecture decisions, in-process SQL and pandas-compatible analysis with chDB, and local and cloud deployment workflows.