Mirrord Operator
metalbear-co/mirrord
Help users install and configure the mirrord Operator for team/enterprise environments.
Connect a Kubernetes cluster to CAST AI in observation-first mode and establish a trustworthy cost baseline before automation.
Install Castai Core Workflow A
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill castai-core-workflow-a -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace castai-core-workflow-a --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/castai-core-workflow-a .claude/skills/castai-core-workflow-a && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "castai-core-workflow-a" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/castai-core-workflow-a into .claude/skills/castai-core-workflow-a/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "castai-core-workflow-a", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/castai-core-workflow-aType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill castai-core-workflow-a -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace castai-core-workflow-a --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/.curated/castai-core-workflow-a .agents/skills/castai-core-workflow-a && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "castai-core-workflow-a" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/castai-core-workflow-a into .agents/skills/castai-core-workflow-a/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "castai-core-workflow-a", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill castai-core-workflow-a -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace castai-core-workflow-a --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/.curated/castai-core-workflow-a .cursor/skills/castai-core-workflow-a && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "castai-core-workflow-a" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/castai-core-workflow-a into .cursor/skills/castai-core-workflow-a/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "castai-core-workflow-a", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/jeremylongshore/tons-of-skills-marketplace.git --path skills/.curated/castai-core-workflow-a--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill castai-core-workflow-a -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace castai-core-workflow-a --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/.curated/castai-core-workflow-a .gemini/skills/castai-core-workflow-a && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "castai-core-workflow-a" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/castai-core-workflow-a into .gemini/skills/castai-core-workflow-a/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "castai-core-workflow-a", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install jeremylongshore/tons-of-skills-marketplace castai-core-workflow-aInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill castai-core-workflow-a -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/.curated/castai-core-workflow-a .github/skills/castai-core-workflow-a && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "castai-core-workflow-a" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/castai-core-workflow-a into .github/skills/castai-core-workflow-a/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "castai-core-workflow-a", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill castai-core-workflow-a -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace castai-core-workflow-a --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/.curated/castai-core-workflow-a .opencode/skills/castai-core-workflow-a && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "castai-core-workflow-a" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/castai-core-workflow-a into .opencode/skills/castai-core-workflow-a/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "castai-core-workflow-a", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
castai-core-workflow-a- GitHub stars
- 2.8k
- Token cost
- ~1.2k tokens
- SKILL.md length
- 462 words
- Files
- 2 (incl. references)
- Skills in repo
- 3,342
- Repo updated
- First seen
- Licence
- MIT
At a glance
Connect a Kubernetes cluster to CAST AI in observation-first mode and establish a trustworthy cost baseline before automation.
- Works in 6 steps: Establish ownership → Preview the connection → Review permissions and features → …
- Onboarding a new EKS
- SKILL.md covers Overview, Prerequisites, Instructions and Tool Discipline, plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Castai Core Workflow A is an agent skill from jeremylongshore/tons-of-skills-marketplace. Connect a Kubernetes cluster to CAST AI in observation-first mode and establish a trustworthy cost baseline before automation. Use when onboarding a new EKS, GKE, AKS, or CAST AI Anywhere cluster. Trigger with: "connect a cluster to CAST AI", "start CAST AI cost monitoring", "onboard CAST AI safely".
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/official-docs.md`). Compatibility notes: Supports CAST AI documented connection paths; cloud permissions and available features vary by provider and subscription
It sits in DevOps & Cloud, covering Container orchestration. It works with Google Kubernetes Engine and Kubernetes. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.
When your agent uses it
- Onboarding a new EKS
- CAST AI Anywhere cluster
- With: connect a cluster to CAST AI
- Start CAST AI cost monitoring
Example prompts
- “connect a cluster to CAST AI”
- “start CAST AI cost monitoring”
- “onboard CAST AI safely”
- “/castai-core-workflow-a”
Requirements
- Compatibility (from SKILL.md): Supports CAST AI documented connection paths; cloud permissions and available features vary by provider and subscription
- Pre-approved tools (allowed-tools): Read, Grep, Write, Edit, Bash(castctl:*), Bash(kubectl:*)
Workflow steps
6 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
ReadGrepWriteEditBash(castctl:*)Bash(kubectl:*)
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
docs.cast.ai
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Compatibility
Supports CAST AI documented connection paths; cloud permissions and available features vary by provider and subscription
From compatibility in the SKILL.md frontmatter.
Context cost
Castai Core Workflow A loads about 1.2k tokens when it runs, and up to ~1.4k if it reads all its reference files. Until then it costs about 81 tokens; SKILL.md has 462 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 462 words, ~1,200 tokens.
Download SKILL.mdSave it as
.claude/skills/castai-core-workflow-a/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- castai-core-workflow-a
- description
- Connect a Kubernetes cluster to CAST AI in observation-first mode and establish a trustworthy cost baseline before automation. Use when onboarding a new EKS, GKE, AKS, or CAST AI Anywhere cluster. Trigger with: "connect a cluster to CAST AI", "start CAST AI cost monitoring", "onboard CAST AI safely".
- allowed-tools
- Read, Grep, Write, Edit, Bash(castctl:*), Bash(kubectl:*)
- compatibility
- Supports CAST AI documented connection paths; cloud permissions and available features vary by provider and subscription
- version
- 2.0.0
- argument-hint
- [kube-context-or-onboarding-plan]
- model
- inherit
- effort
- high
- license
- MIT
- author
- Jeremy Longshore <jeremy@intentsolutions.io>
- tags
- saas, kubernetes, cast-ai, onboarding, cost-monitoring
CAST AI Observation-First Onboarding
Overview
Connect one approved cluster with the recommended castctl path, keep optimization automation off initially, and prove identity, telemetry, ownership, and rollback before expanding control.
Prerequisites
- A named kube context for EKS, GKE, AKS, or a supported CAST AI Anywhere environment
- Cluster-admin access for installation and reviewed least-privilege cloud permissions
- metrics-server when Workload Autoscaling will be evaluated
- An owner, maintenance window, rollback decision, and evidence location
Instructions
Step 1: Establish ownership
Use Read and Grep to locate existing CAST AI, autoscaler, Terraform, Helm, and GitOps definitions. Stop if another controller owns node provisioning or workload HPA behavior and no coexistence decision exists.
Step 2: Preview the connection
Use Bash(castctl:*) to verify the installed client, authenticate interactively to the intended organization, and run the documented connection dry-run. Record detected provider, cluster, region, selected features, namespace, and proposed cloud changes without connecting.
Step 3: Review permissions and features
Confirm least-privilege cloud access and the exact cluster context. Cost Monitoring is always enabled; select Node Autoscaling or Workload Autoscaling only when entitlement, metrics, disruption, and ownership prerequisites are met. Use Write or Edit to capture the approved choices in the repository runbook.
Step 4: Connect the cluster
Run the reviewed castctl connection during the approved window. Do not substitute the deprecated script flow for a supported castctl environment. Preserve the console URL and sanitized command receipt, never browser tokens or API keys.
Step 5: Verify observation mode
Use Bash(kubectl:*) to verify namespace workloads, readiness, events, and metrics prerequisites. Confirm the console receives the intended cluster and cost data while automation remains in the approved state. Allow sufficient data before judging savings or recommendations.
Show full SKILL.md (188 more words)Show less
Step 6: Hand off automation separately
Document baseline time, current controllers, policy candidates, protected workloads, and rollback owner. Make automation enablement a separate reviewed change using castai-core-workflow-b.
Tool Discipline
Use Read and Grep to establish source-of-truth ownership. Use Write and Edit for the onboarding record and runbook. Use Bash(castctl:) for documented auth, dry-run, connection, and status operations; use Bash(kubectl:) for bounded verification. Never echo credentials or infer permission scope.
Output
- Reviewed dry-run and permission inventory
- One connected cluster with documented feature state
- Agent and telemetry health evidence
- Baseline and automation handoff record
Examples
An EKS team connects Cost Monitoring first, collects a representative baseline, and delays Node Autoscaling until Karpenter ownership is decided. A GKE team verifies metrics-server before selecting Workload Autoscaling.
Error Handling
| Failure | Response |
|---|---|
| castctl detects the wrong cluster | Stop and correct kube context before connecting |
| Existing provisioner ownership is unclear | Keep optimization disabled and resolve architecture |
| Agent is not ready | Collect events and logs; do not enable automation |
| Cost data is incomplete | Verify telemetry and wait for a representative window |
Resources
© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file (references) in skills/.curated/castai-core-workflow-a of jeremylongshore/tons-of-skills-marketplace.
- SKILL.md
- references/official-docs.md
Open the folder on GitHubat commit cfae287
Compare with similar skills
Castai Core Workflow A next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Castai Core Workflow A this skilljeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~1.2k | Automated safety check: Pass | MIT | |
| Mirrord Operatormetalbear-co/mirrord | 5.4k | 1 repos | ~4.6k | Automated safety check: Pass | MIT | |
| Devopsnicepkg/auto-company | 195 | 2 repos | ~814 | Automated safety check: Pass | MIT | |
| KubeShark for KubernetesLukasNiessen/kubernetes-skill | 446 | — | ~1.2k | Automated safety check: Pass | MIT | |
| Kcli Cluster Deploymentkarmab/kcli | 653 | — | ~1.5k | Automated safety check: Pass | Apache-2.0 | |
| Aicr Analyzing SnapshotsNVIDIA/aicr | 440 | — | ~3.5k | Automated safety check: Pass | Apache-2.0 |
Similar skills
Devops
nicepkg/auto-company
Deploy to Cloudflare (Workers, R2, D1), Docker, GCP (Cloud Run, GKE), Kubernetes (kubectl, Helm).
KubeShark for Kubernetes
LukasNiessen/kubernetes-skill
Keeps Kubernetes manifests, Helm charts and policies grounded by diagnosing six failure modes, such as insecure defaults and API drift, and loading only matching references.
Kcli Cluster Deployment
karmab/kcli
Guides deployment and management of Kubernetes clusters with kcli.
- Official
Aicr Analyzing Snapshots
NVIDIA/aicr
A skill your agent uses when analyzing an AICR snapshot YAML file, reviewing cluster state, comparing provider characteristics, extracting GPU/network topology insights, or generating a cluster…
GCP Gke
sickn33/agentic-awesome-skills
Deploy and manage Google Kubernetes Engine clusters. An agent skill from sickn33/agentic-awesome-skills.
More from jeremylongshore/tons-of-skills-marketplace
All 3,342 skills in this repoPerforming Security Code Review
jeremylongshore/tons-of-skills-marketplace
Execute this skill enables AI assistant to conduct a security-focused code review using the security-agent plugin.
Adapting Transfer Learning Models
jeremylongshore/tons-of-skills-marketplace
Build this skill automates the adaptation of pre-trained machine learning models using transfer learning techniques.
Agent Context Loader
jeremylongshore/tons-of-skills-marketplace
Execute proactive auto-loading: automatically detects and loads agents.md files.
Aggregating Performance Metrics
jeremylongshore/tons-of-skills-marketplace
Aggregate and centralize performance metrics from applications, systems, databases, caches, and services.
Analyzing Capacity Planning
jeremylongshore/tons-of-skills-marketplace
Execute this skill enables AI assistant to analyze capacity requirements and plan for future growth.
Analyzing Database Indexes
jeremylongshore/tons-of-skills-marketplace
Process use when you need to work with database indexing. An agent skill from jeremylongshore/tons-of-skills-marketplace.
Related
Works with
Categories
Questions about Castai Core Workflow A
What does Castai Core Workflow A do?
Connect a Kubernetes cluster to CAST AI in observation-first mode and establish a trustworthy cost baseline before automation. Castai Core Workflow A is an agent skill from jeremylongshore/tons-of-skills-marketplace. Connect a Kubernetes cluster to CAST AI in observation-first mode and establish a trustworthy cost baseline before automation.
When should I use Castai Core Workflow A?
Castai Core Workflow A fits situations like: onboarding a new EKS; CAST AI Anywhere cluster; with: connect a cluster to CAST AI; start CAST AI cost monitoring.
How do I install Castai Core Workflow A in Claude Code?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill castai-core-workflow-a -a claude-code`. Or copy the skill folder (skills/.curated/castai-core-workflow-a in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/castai-core-workflow-a in your project. Claude Code loads it when a task matches its description.
How do I install Castai Core Workflow A in Codex?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill castai-core-workflow-a -a codex`. Or copy the skill folder (skills/.curated/castai-core-workflow-a in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/castai-core-workflow-a in your project. Codex loads it when a task matches its description.
Can I use Castai Core Workflow A in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill castai-core-workflow-a -a cursor` (or -a -a, -a or -a for the others). To copy it by hand, put the folder in .cursor/skills/castai-core-workflow-a, .gemini/skills/castai-core-workflow-a, .github/skills/castai-core-workflow-a and .opencode/skills/castai-core-workflow-a in your project.
What does Castai Core Workflow A need to run?
SKILL.md names no scripts, command-line tools or credentials: Castai Core Workflow A is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Grep, Write, Edit, Bash(castctl:*), Bash(kubectl:*). Compatibility (from SKILL.md): Supports CAST AI documented connection paths; cloud permissions and available features vary by provider and subscription.
Does Castai Core Workflow A access the network?
SKILL.md names 1 domain. As links in the text: docs.cast.ai. This is read from the text; nothing was executed.
Is Castai Core Workflow A safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Castai Core Workflow A use?
Castai Core Workflow A is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Castai Core Workflow A use?
About 1.2k tokens (SKILL.md is roughly 4.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 230 tokens, read only when the agent opens those files.
What are the alternatives to Castai Core Workflow A?
Skills that share tags, products or a category with Castai Core Workflow A: Mirrord Operator (metalbear-co/mirrord, 5.4k stars), Devops (nicepkg/auto-company, 195 stars), KubeShark for Kubernetes (LukasNiessen/kubernetes-skill, 446 stars) and Kcli Cluster Deployment (karmab/kcli, 653 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Castai Core Workflow A?
jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.
Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.