Datadog API CLI with 49 command groups, 300+ subcommands. Skills and domain agents for monitoring, logs, APM, security, and infrastructure.
npx skills add https://github.com/DataDog/pup --skill pup
Rust-based CLI for Datadog APIs. 49 command groups, 300+ subcommands across 53 command modules.
# Install all skills and agents for the auto-detected AI assistant
pup skills install
# Or install for a specific platform (claude, cursor, codex, opencode, pi)
pup skills install claude
pup skills install codex
pup skills install cursor
# Install for every supported platform at once
pup skills install all
# Install a single skill by name
pup skills install claude --name dd-pup
# Default scope is user-global; pass --project to install into the repo
pup skills install claude --project
# List all available skills
pup skills list
| Skill | Description |
|-------|-------------|
| dd-pup | Primary CLI - all pup commands, auth, site config |
| dd-monitors | Create, manage, mute monitors and alerts |
| dd-logs | Search logs, pipelines, archives |
| dd-apm | Traces, services, performance analysis |
| dd-docs | Search Datadog documentation via llms.txt |
| dd-code-generation | CLI vs code-gen decision, multi-language examples |
| dd-file-issue | Issue routing to correct repo, duplicate search |
Specialized agents for every Datadog API domain: logs, metrics, dashboards, monitors, APM, security, infrastructure, incidents, and more.
pup skills list --category=agent
# Install pup
brew tap datadog-labs/pack && brew install pup
# Authenticate
pup auth login
# Install skills for your AI assistant
pup skills install
Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch processing jobs, scheduling compute-intensive tasks, or serving APIs that require GPU acceleration or dynamic scaling.
Advanced GitHub Actions workflow automation with AI swarm coordination, intelligent CI/CD pipelines, and comprehensive repository management
Google Cloud Platform CLI - manage GCP resources including Compute Engine, Cloud Run, GKE, Cloud Functions, Storage, BigQuery, and more.
Expert backend architect specializing in scalable API design, microservices architecture, and distributed systems. Masters REST/GraphQL/gRPC APIs, event-driven architectures, service mesh patterns, and modern backend frameworks. Handles service boundary definition, inter-service communication, resilience patterns, and observability. Use PROACTIVELY when creating new backend services or APIs.
Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch processing jobs, scheduling compute-intensive tasks, or serving APIs that require GPU acceleration or dynamic scaling.
Aspire skill covering the Aspire CLI, AppHost orchestration, service discovery, integrations, MCP server, VS Code extension, Dev Containers, GitHub Codespaces, templates, dashboard, and deployment. Use when the user asks to create, run, debug, configure, deploy, or troubleshoot an Aspire distributed application.
Audits Python + BigQuery pipelines for cost safety, idempotency, and production readiness. Returns a structured report with exact patch locations.
Microsoft Store Developer CLI (msstore) for publishing Windows applications to the Microsoft Store. Use when asked to configure Store credentials, list Store apps, check submission status, publish submissions, manage package flights, set up CI/CD for Store publishing, or integrate with Partner Center. Supports Windows App SDK/WinUI, UWP, .NET MAUI, Flutter, Electron, React Native, and PWA applications.
Take datadog/pup from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.
The instructions reference brew.
Without those the skill loads but fails at the first command.