kubeadm-prerequisites
Use when preparing nodes for kubeadm installation, configuring containerd, kernel modules, swap, SELinux, or troubleshooting pre-flight check failures
Skills
Find an Agent Skill for your task. Read the guide and copy the install command.
Updated 11-04 00:13
Deployment & operations
13,020 results
deploy
This skill should be used when the user asks to "deploy a test instance", "create a test deployment", "deploy RHDH", "spin up a test instance", "deploy with…
release-react-router
Perform React Router releases through the generated release PR, from readiness review through merge and verification of npm versions, dist-tags, git tags, and…
cloudflare-workers
Cloudflare Workers and Durable Objects conventions for TypeScript projects. Covers wrangler.jsonc configuration, type-safe env via `wrangler types` and `import…
composio-cli
Help users operate the published Composio CLI to find the right tool, connect accounts, inspect schemas, execute tools, subscribe to trigger events with…
doppler
Doppler CLI workflows for secrets management in this workspace. Covers creating projects non-interactively (agent-friendly), renaming the default envs to…
vercel-deploy-button
Vercel Deploy Button for one-click project deployment from a Git template. Covers all URL parameters, environment variable pre-filling, redirect callbacks,…
terraform-module-patterns
Detailed guide on Terraform module design patterns, directory structures, state management, and environment separation strategies. Use this skill for…
post-test-cleanup
The cleanup process after testing is complete. After sending test instructions (such as long article generation or time-consuming tasks) to a workspace, use this process to thoroughly remove test traces and prevent test messages from remaining in the session context and continuously consuming token quota.
issue-pr-lifecycle-agent
Skill for orchestrating the end-to-end GitHub issue lifecycle flow: Issue -> Worktree -> Implementation -> PR Creation -> Resolution Closure. USE ONLY when…
create-docker-skill
Interactive initialization script that generates a compliant Agent Skill containing pre-flight environment checks, subprocess execution scaffolding, and a…
create-github-action
Scaffold a traditional deterministic GitHub Actions CI/CD workflow. Use this when creating build, test, deploy, lint, release, or security scan pipelines. This…
release
Use when shipping a new dotnet-inspect version; independently validate one immutable candidate, present concerns, and publish only after the operator decides.
update-os-packages
Audit and update os-packages.json files in dotnet/core to ensure Linux distribution package names are correct. Verifies package names against upstream package…
topic-monitor
Monitor topics of interest and proactively alert when important developments occur. Use when the user wants automated monitoring of specific subjects like…
dstack-beads-close-feature
Reconcile a completed feature and deliver it safely without post-delivery Git bookkeeping.
dstack-beads-core
Shared dStack authority, state, documentation, review, and deterministic-controller rules.
dstack-beads-project-alignment-land
Reconcile and deliver completed project-alignment corrections through the shared safe delivery controller.
desktop-packaging
Package and sign Electron or Tauri apps — macOS notarization, Windows code signing, Linux bundles, auto-update, and OAuth deep links. Use when shipping a…
release-mobile
Mobile app release pipeline — iOS signing, App Store submission, Android keystore, Play Store tracks, and OTA updates. Use when shipping a mobile app, setting…
dotfiles-management
Guidelines and rules for managing the user's dotfiles repository, config files, and installation scripts.
experiment-bridge
Workflow 1.5: Bridge between idea discovery and auto review. Reads EXPERIMENT_PLAN.md, implements experiment code, deploys to GPU, collects initial results.…
monitor-experiment
Monitor running experiments, check progress, collect results. Use when user says "check results", "is it done", "monitor", or wants experiment output.
run-experiment
Deploy and run ML experiments on local or remote GPU servers. Use for requests such as "run experiment", "deploy to server", or "跑实验" (run experiments), or when the user needs to launch training jobs.