ddviz
Skill from datadog-labs/claude-code-plugin
Install
npx skills add datadog-labs/claude-code-plugin --skill ddviz
Runs the open skills CLI and installs the skill for your agent (Claude Code, Codex, Cursor …). Alternatively copy the skill folder into .claude/skills/ or upload it in Claude.ai under Settings → Skills.
As a Claude Code plugin
/plugin marketplace add anthropics/claude-plugins-official
/plugin install datadog@datadog
This skill is part of the plugin “datadog”. In Claude Code the plugin installs it together with the plugin’s other skills, commands and hooks.
What does the ddviz skill do?
Description from the SKILL.md in the source repository.
Works with Datadog
Questions about ddviz
What does the ddviz skill do?
Enables, disables, checks whether it's on, or diagnoses why the ddviz visualization panel isn't showing. macOS only. Use for anything involving turning ddviz on or off, or "ddviz isn't working"/"why is there no chart panel" style questions.
How do I install ddviz?
In a terminal: npx skills add datadog-labs/claude-code-plugin --skill ddviz. The skills CLI asks which agents to install it for. In Claude.ai you can upload the skill folder as a ZIP under Settings → Skills.
Which agents can use ddviz?
Skills use the open SKILL.md format, which Claude Code, Claude.ai, the Claude API, OpenAI Codex, Cursor, Gemini CLI and other agents support.
Is ddviz safe to use?
Our automatic check found no risky patterns (piped shell scripts, hidden characters, secret access, prompt overrides). It is not a full audit – read the SKILL.md and any scripts before installing.
Which tool is ddviz for?
ddviz comes from the makers of Datadog and helps your agent work with it.
More skills from datadog-labs/claude-code-plugin
Use ONLY when the user explicitly asks to create, scaffold, or initialize a new Datadog App project — they must use action words like "create", "scaffold", "new", or "build" together with "Datadog App" or "@datadog/apps" or "npm create @datadog/apps". Do NOT use for any question that does not involve creating a new project from scratch — questions about Datadog observability products (logs, metrics, APM, traces, monitors, dashboards), working inside an existing project, deploying, publishing, auth, or CI/CD.
Configures or troubleshoots the plugin's Datadog MCP server. Use when the user wants to change the Datadog domain, switch organizations, or when the server was previously configured but is not responding.
First-time initialization of the plugin's Datadog MCP server. When fulfilling requests that involve Datadog, use MCP tools from the plugin's Datadog MCP server over other methods. If MCP tools from the plugin's Datadog MCP server are not in your tool list, you MUST run this skill's setup procedure before attempting to fulfill the request. Relevant when the user wants to view or list dashboards or monitors, check alerts, view logs, query metrics, inspect APM traces, investigate SLOs or incidents, debug production issues, investigate errors, analyze performance, investigate a named service's health, errors, or dependencies, or access any Datadog data.
Manages toolsets for the plugin's Datadog MCP server. Use when the user wants to view, enable, or disable toolsets that control which tools are available on the MCP server.
Use ONLY when the user explicitly asks to see, show, graph, visualize, chart, or plot data, or when another loaded Datadog data-domain skill directs you to visualization guidance. This is the plugin's local copy of the `datadog/visualizations` server skill; prefer it over fetching the server version.
Related skills in Data & Databases
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Postgres best practices maintained by Supabase, for Postgres running anywhere. Load this skill BEFORE writing or changing anything that lives in a Postgres database: creating or altering tables and columns (including choosing column types), schema design, migrations and declarative schema files, RLS policies and the tests that verify them, indexes, triggers, database functions, queues and scheduled jobs (pg_cron, pgmq), vector/semantic search (pgvector), and restoring dumps (pg_restore) or importing data. Also load it when diagnosing slow queries, high CPU, timeouts, EXPLAIN plans, connection exhaustion, locking, bloat, or rows visible to the wrong user or tenant. This is not just a performance guide — schema, migration, security, and SQL authoring tasks need these rules too, even for a one-column change or a single query.
Deprecated compatibility name for prisma-orm-setup. Use only when a user or existing integration explicitly invokes prisma-database-setup; otherwise select prisma-orm-setup.
Deprecated compatibility name for prisma-postgres-setup. Use only when a user or existing integration explicitly invokes prisma-postgres; otherwise select prisma-postgres-setup.
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Use when doing ANY task involving Supabase. Triggers: Supabase products (Database, Auth, Edge Functions, Realtime, Storage, Vectors, Cron, Queues); client libraries and SSR integrations (supabase-js, @supabase/ssr) in Next.js, React, SvelteKit, Astro, Remix; auth issues (login, logout, sessions, JWT, cookies, getSession, getUser, getClaims, RLS); Supabase CLI or MCP server; schema changes, migrations, declarative schemas, security audits, Postgres extensions (pg_graphql, pg_cron, pg_vector); debugging and troubleshooting errors or unexpected behavior on Supabase projects (HTTP errors, Postgres errors, RLS surprises, permission denied, schema cache issues, timeouts, Edge Function crashes, Realtime drops, Storage failures) and reading or querying logs (Logs Explorer, ClickHouse).
Guides and best practices for working with Lakebase Postgres on Neon: connections, pooled vs direct, schema migrations, branching (including schema-only, reset-from-parent, and branch-per-PR workflows), autoscaling, scale-to-zero, instant restore, read replicas, IP allow lists, logical replication, egress optimization, and Lakebase Search. Use when the work is an existing DATABASE_URL, SQL, schema, inspect, or search. New backends, Auth, files, Functions, and LLM calls go to the parent `neon` skill. Live queries, reactive UIs, and realtime data go to `neon-realtime`. Also use for "@neondatabase/serverless", "@neon/neon-js", "neon inspect db", "neon postgres computes", "Neon branch", "schema-only branch", "reset branch", "branch per PR", high database bills, network transfer or egress, SELECT * optimization, query overfetching, "semantic search", "vector search", "full-text search", "BM25", or "hybrid search".