인프라·DevOps 스킬

Run a ruflo agent on your ruOS cloud desktop through an authenticated connection. Follow its output as it runs, record execution status in ruflo, and release the task claim when the run finishes.

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• Run an agent task on a ruOS desktop
• Follow remote agent output as it runs
• Record remote execution status in ruflo

Set up ruvector@0.3.3 with supporting packages, register its MCP server for agent access, and verify installation with diagnostic commands and smoke tests. Helps prepare the dependencies needed for initial use of /vector subcommands.

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• Setting up ruvector for the first time
• Resolving missing dependencies for Brain, SONA, or LLM commands
• Registering the ruvector MCP server with Claude

Inspect how a task ran across agents by collecting recorded execution spans, or timed processing steps. Build a trace tree showing agent activity, duration, errors, and bottlenecks, with a summary of the execution flow.

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• Investigating a slow task
• Reviewing coordination between agents
• Locating errors in recorded execution

Check federation health, the connectivity between agents in separate installations. Summarize connected peers, trust levels and scores, active sessions, message exchanges, personal information redactions, and threat detections, with a search of stored federation history.

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• Checking connectivity between agent installations
• Reviewing connected peers and trust scores
• Reviewing sessions and message exchanges

Organize Cognitum Seed devices into fleets, or device groups. Create and list fleets, add or remove devices, and delete fleets through dedicated commands, with explicit confirmation required before deletion.

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• Create a fleet for a group of devices
• List existing device fleets
• Add or remove devices from a fleet

Manage firmware updates across IoT device fleets through staged rollouts. Check a small initial group for anomalies before expanding deployment, inspect rollout status, and roll back updates with explicit user approval for device changes.

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• Deploying a specified firmware version to a device fleet
• Checking initial devices before expanding a rollout
• Rolling back a firmware rollout

Register a Cognitum Seed device at a supplied endpoint or its default USB Ethernet address. The workflow establishes an agent connection, retrieves device identity, assigns initial trust, optionally pairs the device, and records registration.

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• Register a Cognitum Seed at a specified endpoint
• Connect through the default USB Ethernet address
• Pair a device when a pairing token is available

Detect and classify unusual readings from Cognitum Seed devices, including spikes, flatlines, and drift. Review anomaly scores, recommend quarantine for scores above 0.9, and save detected patterns for future reference.

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• Investigating unusual device readings
• Checking health before advancing a firmware canary
• Triaging health alerts across a device fleet

Prepare a node to participate in federation, a setup connecting multiple nodes. Generate an ed25519 keypair and configuration, optionally set a compliance mode, and display the public key and endpoint to share with peers.

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• Initialize a node for federation
• Set a compliance mode during initial setup
• Check the public key and endpoint to share with peers

Summarize spending events for each connected peer over the past hour, day, and week, and flag peers above a configured suspension threshold. This consumer-side script depends on upstream event publishing that the source describes as not yet implemented.

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• Establish a spending baseline before connecting a new peer
• Periodically review spending by peer
• Check which peers exceed a suspension threshold

Compare recorded agent spending with a project budget and receive alerts at four usage thresholds. Review remaining funds and recommended actions, or use the check to block agent launches when the budget is exhausted.

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• Check budget usage after recording costs
• Review remaining funds before launching agents
• Monitor spending at regular intervals

Inspect local AGNTCY integration settings and summarize endpoint configuration, the optional SLIM package, transport status, and session counters in a short table. Distinguish available components from unimplemented features without making network calls or changing settings.

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• Check whether AGNTCY is configured
• Review SLIM package and endpoint settings
• Inspect mod counters for the current project

Track production session spending over time by grouping costs into configurable time windows. Compare the latest window with earlier spending averages, display the increase, and optionally return a failure exit code when it exceeds a chosen percentage.

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• Reviewing daily production spending
• Comparing recent spending with historical averages
• Adding spending acceleration alerts to CI

Run four cost checks in parallel to assess budget limits, accelerating daily spending, unusual sessions, and projected budget exhaustion. Combine their results into one health status and exit code for automated CI workflows.

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• Combine four cost checks into one CI step
• Detect accelerating daily spending
• Flag sessions with unusually high costs

Compare two saved cost-summary JSON snapshots to identify changes in total spending, sessions, and model costs. Set limits on spending increases or token growth to flag cost regressions during pull request checks.

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• Comparing spending before and after a pull request
• Finding models responsible for cost changes
• Failing checks when spending exceeds set limits

Export recorded AI usage costs and budgets as Prometheus metrics or JSON. Feed external dashboards with totals, model tier breakdowns, session costs, and budget utilization, or send the same data to a webhook endpoint.

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• Refreshing cost metrics for Grafana or Prometheus
• Sending a one-time cost report to a webhook
• Providing budget utilization data for monitoring

Check a Ruflo installation for common environment and configuration problems, then run automatic repairs. The checks cover software versions, background services, the memory database, API keys, MCP servers, disk space, and TypeScript.

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• Checking the environment after installing Ruflo
• Diagnosing configuration and connection problems
• Repairing the memory database

Check Ruflo's health and summarize system diagnostics, MCP server state, and active agents. Routine checks leave the installation unchanged; an explicit repair request runs the repair command and reports the resulting changes and status.

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• Checking Ruflo's overall health
• Reviewing MCP server and active-agent status
• Investigating issues without changing the installation

Connect ruflo agents running on different machines to share status, tasks, and results through signed messages. Coordinate work ownership across nodes, verify messages against registered public keys, and synchronize shared rooms over HTTP.

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• Sharing agent status and results across machines
• Coordinating ownership of shared tasks
• Handing work from one node to another

Coordinate groups of AI agents in the cloud with Flow Nexus. Assign research or development tasks, automate workflows triggered by events or schedules, and monitor execution, queues, and agent capacity through the platform's tools.

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• Split research and analysis across multiple agents
• Coordinate development across repositories
• Automate testing, builds, and deployment

Run and manage an agent in Anthropic's cloud for long or asynchronous tasks. Create a session with packages and tools, send work, inspect status and activity, continue with saved files and conversation, then terminate the session.

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• Assigning long-running work to a cloud agent
• Continuing work with saved files and conversation
• Inspecting session status and tool activity

Coordinate software releases on GitHub, from version updates and release notes to testing, builds, deployment, and rollback. It describes workflows using multiple AI agents, including coordinated package releases and gradual deployments with monitoring.

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• Prepare version updates and release notes
• Coordinate releases across multiple packages
• Run tests and security checks before release

Manage Flow Nexus accounts, run code in sandboxes, deploy app templates, and track credits. The skill guides platform operations through connected tools, including file storage, execution monitoring, and coding challenge submissions.

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• Create a sandbox and run development code
• Find and deploy an app template
• Check credit balances and payment history

Analyze performance in Claude Flow swarms, groups of agents working together. Identify delays in communication, processing, memory, and networking, then generate reports and prioritized recommendations. Compare previous runs or apply available automatic optimizations.

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• Investigating slow tasks across multiple agents
• Comparing performance before and after changes
• Creating weekly performance reports