By fabn
Datadog monitoring workflows for Terraform-managed infrastructure. Includes dashboard creation with metric discovery and HCL generation, log search and analysis, APM trace investigation, and interactive setup.
This skill should be used when the user wants to create a Datadog monitoring dashboard as Terraform HCL. Handles metric discovery via Datadog MCP, documentation, or integrations-core CSV, widget layout design with grouped widgets, template variables, team assignment, and terraform fmt validation. Activates on: "create dashboard", "datadog dashboard", "new dashboard", "add dashboard", "dashboard for", "monitor dashboard", "build monitoring dashboard", "generate dashboard HCL", "Terraform dashboard".
This skill should be used when the user wants to search, analyze, or investigate Datadog logs. Translates natural language or code snippets into Datadog log queries, executes via search-logs and aggregate-logs MCP tools, and presents structured results with follow-up suggestions. Activates on: "search logs", "find logs", "datadog logs", "log search", "check logs", "query logs", "analyze logs", "show me errors", "recent errors", "find 5xx", "investigate logs", "debug with logs", "log analysis", "count errors by", "group logs by", "error breakdown", "cercare log", "cerca nei log", "log datadog", "analizzare log".
This skill should be used when the user wants to configure Datadog credentials, verify MCP server connectivity, or set project-level defaults (default service, search filters). Checks ~/.claude/settings.local.json for DD_API_KEY, DD_APP_KEY, and DD_SITE environment variables, tests MCP tool availability, and writes configuration to the project's CLAUDE.md. Activates on: "setup datadog", "configure datadog", "datadog setup", "install datadog", "connect to datadog", "datadog credentials", "datadog api key", "test datadog connection", "verify datadog", "datadog config", "initialize datadog", "configurare datadog", "configurazione datadog".
This skill should be used when the user wants to search, analyze, or investigate Datadog APM traces. Finds recent traces by query or looks up specific traces by ID or Datadog URL. Translates natural language into APM query syntax, executes via the list_traces MCP tool, and parses large trace responses into concise summaries with error details and Datadog links. Activates on: "search traces", "find traces", "datadog traces", "trace search", "analyze trace", "trace lookup", "APM traces", "slow requests", "error traces", "trace ID", "investigate trace", "request performance", "tracciare errori", "cercare trace", "trace datadog".
Requires secrets
Needs API keys or credentials to function
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A collection of Claude Code plugins for monitoring, infrastructure, and development workflows.
| Plugin | Description | Skills |
|---|---|---|
| datadog | Datadog monitoring: dashboards, logs, APM traces, metric discovery | setup, dashboard, logs, traces |
| github | GitHub workflows: issues, PRs, releases, project boards, code review | setup, release, feature, pm, address-review |
| rails | Ruby on Rails development: debugging, testing, refactoring, migrations | debug, test, refactor, migrate, upgrade |
| terraform | Terraform infrastructure: plan, drift detection, apply with safety gates | plan, drift, apply |
/plugin marketplace add fabn/claude-plugins
/plugin install github@fabn-claude-plugins
Add to your ~/.claude/settings.json (user-level) or .claude/settings.json (project-level):
{
"enabledPlugins": {
"github@fabn-claude-plugins": true,
"terraform@fabn-claude-plugins": true
},
"extraKnownMarketplaces": {
"fabn-claude-plugins": {
"source": {
"source": "github",
"repo": "fabn/claude-plugins"
}
}
},
"enableAllProjectMcpServers": true
}
/plugin marketplace add /absolute/path/to/claude-plugins
claude --plugin-dir ./plugins/datadog
claude --plugin-dir ./plugins/rails
npx claudepluginhub fabn/claude-plugins --plugin datadogRuby on Rails development workflows. Includes debugging and performance profiling, test scaffolding with RSpec and FactoryBot, refactoring patterns for service objects, concerns, and query objects, and guided version upgrades.
Project-agnostic Terraform operations: plan with safety categorization, apply with confirmation gates and targeted apply, drift detection and resolution.
GitHub workflows: feature development with branch/commit/PR flow, addressing PR review comments, issue and project board management (Epics, sub-issues, triage), release management with Release Drafter (setup, upgrade, and publishing), actionlint CI for workflow linting, and interactive setup for GitHub MCP server and gh CLI.
Spacelift CI/CD workflows for Terraform: stack management, run inspection with log analysis, failure debugging, local previews, dependency tracking, and GraphQL schema exploration.
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