基础设施与 DevOps技能

Inspect an agent workspace to inventory skills, prompts, plugins, tools, and configuration. Produce a prioritized gap and risk assessment based on observed evidence, with recommendations for the next workflow, while keeping files and settings unchanged.

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• Taking inventory of skills and prompts
• Checking plugin, MCP, and hook configuration
• Prioritizing missing, duplicate, or outdated capabilities

Plan a software release by selecting changes, deriving its version, and defining rollout stages. Specify health checks, rollback thresholds, the exact recovery command, and its operator before handing execution to the host or CI.

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• Select changes and a version for the next release
• Plan a staged rollout to a small share of users
• Define rollback triggers, commands, and ownership

Coordinate an active production incident by recording severity, assigning roles, and maintaining a timestamped timeline. Track temporary mitigations, verify recovery against an agreed health signal, and prepare customer notices with delivery status kept explicit.

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• Establish severity and roles during a production outage
• Keep a timestamped incident response timeline
• Track temporary mitigations and their removal conditions

Prepare a readiness record for an external service profile using identifiers, required capabilities, and metadata indicating whether credentials are present. Keep secret values unread and clarify permitted next steps without contacting the provider or validating credentials.

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• Organize profile requirements before connecting an external service
• Summarize credential presence without exposing secret values
• Identify missing profile information

Sort incoming GitHub pull request, issue, review, and automated check events into review, triage, or repair handoffs. Recheck the repository's current state and prepare a next-action card that distinguishes suggested work from actions actually observed.

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• Routing a new pull request with failing checks
• Sorting incoming issue notifications
• Preparing a repair handoff from a CI failure

Assess release readiness before a production launch. Review evidence for testing, security, performance, monitoring, rollback, documentation, and support, then produce a readiness matrix, a release verdict, and a list of missing evidence.

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• Checking operational readiness before a production launch
• Organizing missing test, CI, and security evidence
• Reviewing rollback and monitoring plans

Check the installed Hermes version and whether each MCP server allows simultaneous tool calls. Report current capabilities, explain possible conflicts, and prepare server-specific configuration changes that are applied only after explicit approval.

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• Checking whether Hermes tools can run simultaneously
• Reviewing parallel-call settings for each MCP server
• Enabling parallel calls after checking for conflicts

Plan an iOS or Android store release with signing checks, privacy declarations, beta testing, and staged rollout steps. Define halt thresholds and a replacement build before release, keeping planning separate from building, signing, uploading, or submission.

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• Preparing an App Store or Google Play release
• Checking privacy declarations against shipped SDKs
• Defining beta testers and exit checks

Plan self-hosted LLM serving by selecting an engine and quantization, which reduces model precision and memory needs. Prepare deployment runbooks and benchmarks that measure response latency and throughput against explicit service targets under defined loads.

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• Choosing an LLM serving engine for available hardware
• Preparing Docker or Kubernetes deployment steps
• Measuring endpoint latency and throughput under load

Review saved infrastructure change plans to separate existing configuration drift from proposed changes, identify affected resources, and assess cost differences. Prepare staged application plans with health checks and rollback steps for each environment.

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• Separating existing drift from proposed infrastructure changes
• Reviewing resource replacements and deletions
• Planning staged changes from staging to production

Prepare an operations board covering token use, cost, latency, run history, queues, and failures. Combine supplied metrics with Hermes records, distinguish measured values from estimates, and identify missing evidence and the next measurement needed.

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• Reviewing token use, cost, and latency together
• Organizing run history, queues, and failure modes
• Summarizing supplied Prometheus or Grafana metrics

Prepare a release checklist, deployment decision points, health indicators, rollback criteria, and a post-deployment status report. Keep planned actions separate from observed results so release owners can see what still needs verification.

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• Preparing a release readiness checklist
• Defining health signals to watch after deployment
• Agreeing on rollback criteria and ownership

Connect Hermes to a Buzz community, deliver local media attachments, or diagnose a self-hosted relay, the server that passes messages. Report verified setup and delivery stages separately, using observed receipts instead of assuming that configuration proves successful communication.

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• Connect Hermes to a Buzz community
• Verify inbound and outbound Buzz messages
• Send local media to an active Buzz conversation

Diagnose local oh-my-hermes installation problems by checking command availability, managed skills, Hermes registration, and runtime state. Separate blocking issues from warnings and identify the next repair action without presenting a health check as a completed fix.

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• Investigating stale skills after an update
• Checking Hermes configuration and skill registration
• Finding the next repair step when omh is unavailable

Deploy apps and websites to Vercel and get a URL to share. The workflow defaults to preview deployments, supports production when explicitly requested, and includes an alternative deployment script when CLI credentials are unavailable.

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• Share an app through a preview URL
• Deploy a project folder or existing tarball
• Publish to production on explicit request

Inspect production errors in Sentry through read-only API queries. Summarize unresolved issues, occurrence counts, and recent events, then examine individual issue and event details to understand what has been happening.

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• Reviewing unresolved production issues from the last 24 hours
• Checking occurrence counts and when errors were last seen
• Inspecting events linked to a specific issue

Configure machine learning training and batch jobs across multiple clouds with SkyPilot. The skill guides GPU selection, lower-cost cloud and region choices, and automatic recovery when discounted spot instances are interrupted.

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• Choose a lower-cost cloud for GPU training
• Run long training jobs with recovery after interruptions
• Configure distributed training across multiple machines

Audit Node.js processes started by VCO, identify which are managed and still active, and report stale processes eligible for cleanup. Produce Markdown or JSON reports and simulate cleanup while keeping external and unknown processes outside the candidate set.

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• Auditing accumulated Node.js processes after long VCO runs
• Recording VCO-launched processes through a wrapper
• Producing Markdown or JSON process ownership reports

Deploy web projects to Netlify with its command-line tool. The skill checks authentication and project settings, links or creates a site, and publishes a preview or production version with deployment URLs and log links.

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• Publishing a web project on Netlify
• Sharing a preview URL before production
• Linking a project to an existing Netlify site

Investigate failed pull request checks in GitHub Actions using the GitHub CLI. The skill gathers logs, summarizes failures, proposes a repair plan, and applies changes after explicit approval, with a summary of changes and tests.

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• Investigating failed GitHub Actions checks
• Reviewing a repair plan before approving changes
• Summarizing failure logs for a pull request

Publish files and static sites to IPFS, a distributed storage network, or create and deploy a web app with a frontend, backend APIs, and a database. The skill also guides email sending and updates through PinMe commands.

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• Publish a PDF or folder to IPFS
• Deploy a built static site
• Create a web app with APIs and a database

Turn browser automation into a cloud function on Browserbase, so it can run outside your machine. The skill guides project setup, function implementation, local testing, and deployment through the browse CLI.

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• Moving browser automation from a local machine to the cloud
• Testing a browser function with different input URLs
• Preparing browser tasks for scheduled or webhook-triggered runs

Deploy or update the CDF Orchestration Airflow controller on Kubernetes. This skill guides prerequisite checks, image preparation, installation, connection setup, and post-install verification, producing a deployment report with readiness results and unresolved warnings.

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• Installing an Airflow controller on Kubernetes
• Rebuilding and redeploying after DAG or plugin changes
• Connecting to the controller through port forwarding

Check whether a CDF Orchestration environment is ready for controller installation and workflow execution. Audit Linux tools, Kubernetes, GPUs, storage, and credentials, report missing evidence, and guide prerequisite setup before deployment.

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• Check prerequisites before installing the controller
• Identify GPU or shared storage blockers
• Check readiness for each packaged workflow