ruflo-observability
claudeStructured logging, distributed tracing, and metrics — correlate agent swarm activity with application telemetry
2 skills · 1 command · 1 agent
Agent skills for working with Steep: move semantic models between Steep and Apache Ossie or Snowflake semantic views, and import them from the dbt Semantic Layer.
Plugin steep from marketplace steephq in SteepHq/steep-toolkit. Commands read from the repo's manifest — 5 days ago.
dbt-to-steepExperimental. Import a dbt Semantic Layer (MetricFlow) project, in the latest YAML spec or the legacy `semantic_models` / `measures` spec, into Steep semantic model YAML: `module:` files with dimensions, metrics, filters and join paths that Steep syncs from GitHub. Use this skill whenever someone wa
ossie-to-steepExperimental. Import an Apache Ossie (Open Semantic Interchange, OSI) semantic model document into Steep semantic model YAML: `module:` files with dimensions, metrics, filters and join paths that Steep syncs from GitHub. Use this skill whenever someone wants to import, convert or translate an `.ossi
snowflake-to-steepExperimental. Import a Snowflake semantic view (its YAML from SYSTEM$READ_YAML_FROM_SEMANTIC_VIEW, its CREATE SEMANTIC VIEW DDL, or a legacy Cortex Analyst semantic model file) into Steep semantic model YAML: `module:` files with dimensions, metrics, filters and join paths that Steep syncs from GitH
steep-to-ossieExperimental. Export a Steep semantic model (its `module:` YAML, or the definitions behind a Steep workspace) to an Apache Ossie (Open Semantic Interchange, OSI) semantic model document. Use this skill whenever someone wants to export, convert, translate or share Steep modules, metrics, dimensions,
steep-to-snowflakeExperimental. Export a Steep semantic model (its `module:` YAML, or the definitions behind a Steep workspace) to a Snowflake semantic view, as a `CREATE SEMANTIC VIEW` statement. Use this skill whenever someone wants to export, convert, translate or publish Steep modules, metrics, dimensions, slices
Structured logging, distributed tracing, and metrics — correlate agent swarm activity with application telemetry
2 skills · 1 command · 1 agent
Query Trackio projects, runs, and metrics using the `trackio` CLI. Use when the user needs to list projects/runs/metrics, get summaries, or retrieve metric values from local Trackio databases. Supports both human-readable and JSON output formats. Covers project discovery, run inspection, metric querying, and system metrics. Designed for LLM agents and automation scripts.
1 skill
Deploy, manage and monitor your Hostinger services directly from Claude Code. The plugin connects Claude to Hostinger's remote MCP server, so you can ship sites and apps, manage domains and DNS, run WordPress and operate VPS servers without leaving your coding environment. There's nothing to install on your machine: no Node.js, no npm, no local server. Key features include one-prompt deployments for static sites, Node.js apps (built on Hostinger), full WordPress site imports, and WordPress plugins and themes, plus static and PHP sites on the Agency Plan. Beyond deployments, Claude can search and register domains, edit DNS records and snapshots, check build logs, and manage mailboxes, online stores, email marketing contacts, subscriptions and orders. It can also control VPS firewalls, snapshots and monitoring. Sign in through your browser (OAuth) on first use, or set a `HOSTINGER_API_TOKEN` from hPanel. How to use: there are no commands to memorize. Describe what you want and Claude picks the right tool or deployment skill. Try "deploy my static site to Hostinger", "deploy this Next.js app to example.com", "create an A record pointing example.com to 1.2.3.4", or "show VPS metrics for the last 24 hours."
7 skills · 1 MCP server
Metrics collection, logging infrastructure, distributed tracing, SLO implementation, and monitoring dashboards
4 skills · 2 commands · 4 agents
Use Datadog directly in Claude Code through a preconfigured Datadog MCP server. Query logs, metrics, traces, dashboards, and more through natural conversation. This plugin is in preview.
5 skills · hooks
9 project management skills with 15 Python tools: pm-skills fork-orchestrator with agentic delivery loop (deterministic 8-lane router, Jira MCP snapshot bridge to Kanban flow metrics + Monte Carlo forecasts, delegation-governance gate, /cs-pm + /cs-grill-pm + /cs-pm-loop), senior PM, scrum master, Jira expert, Confluence expert, Atlassian admin, template creator, meeting analyzer, team communications. Bundled Atlassian Remote MCP.
9 skills · 3 commands · 1 agent · 1 MCP server
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