Agent skill

Castai Deploy Integration

by jeremylongshore in jeremylongshore/tons-of-skills-marketplace

Deploy CAST AI through a reviewable GitOps or Terraform lane with pinned artifacts, explicit control ownership, and staged promotion.

MITAuto-check passedDevOps & Cloud

Install Castai Deploy Integration

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill castai-deploy-integration -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace castai-deploy-integration --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ 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-deploy-integration .claude/skills/castai-deploy-integration && rm -rf skills-src

Use ~/.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/

Facts

Skill name
castai-deploy-integration
GitHub stars
2.8k
Token cost
~1.2k tokens
SKILL.md length
478 words
Files
2 (incl. references)
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Deploy CAST AI through a reviewable GitOps or Terraform lane with pinned artifacts, explicit control ownership, and staged promotion.

  • Works in 6 steps: Inventory existing ownership → Define the repository contract → Render and plan → …
  • Standardizing CAST AI across clusters
  • 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 Deploy Integration is an agent skill from jeremylongshore/tons-of-skills-marketplace. Deploy CAST AI through a reviewable GitOps or Terraform lane with pinned artifacts, explicit control ownership, and staged promotion. Use when standardizing CAST AI across clusters or moving console-managed configuration into code. Trigger with: "deploy CAST AI with GitOps", "manage CAST AI as code", "roll out CAST AI to multiple clusters".

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: Requires an existing infrastructure delivery system and cloud-specific CAST AI permissions reviewed for each target cluster

It sits in DevOps & Cloud, covering GitOps, Infrastructure as code and Deployment. It works with Terraform and Bash. 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

  • Standardizing CAST AI across clusters
  • Moving console-managed configuration into code
  • With: deploy CAST AI with GitOps
  • Manage CAST AI as code

Example prompts

  • “deploy CAST AI with GitOps”
  • “manage CAST AI as code”
  • “roll out CAST AI to multiple clusters”
  • “/castai-deploy-integration”

Requirements

  • Compatibility (from SKILL.md): Requires an existing infrastructure delivery system and cloud-specific CAST AI permissions reviewed for each target cluster
  • Pre-approved tools (allowed-tools): Read, Grep, Write, Edit, Bash(helm:*), Bash(terraform:*), Bash(kubectl:*), Bash(castctl:*)

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Inventory existing ownership
  2. Define the repository contract
  3. Render and plan
  4. Handle existing installations
  5. Promote by ring
  6. Prove rollback and drift detection

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:

    • Read
    • Grep
    • Write
    • Edit
    • Bash(helm:*)
    • Bash(terraform:*)
    • Bash(kubectl:*)
    • Bash(castctl:*)

    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

    Requires an existing infrastructure delivery system and cloud-specific CAST AI permissions reviewed for each target cluster

    From compatibility in the SKILL.md frontmatter.

Context cost

Castai Deploy Integration 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 92 tokens; SKILL.md has 478 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~92
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.4k

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). 478 words, ~1,213 tokens.

Download SKILL.mdSave it as .claude/skills/castai-deploy-integration/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
castai-deploy-integration
description
Deploy CAST AI through a reviewable GitOps or Terraform lane with pinned artifacts, explicit control ownership, and staged promotion. Use when standardizing CAST AI across clusters or moving console-managed configuration into code. Trigger with: "deploy CAST AI with GitOps", "manage CAST AI as code", "roll out CAST AI to multiple clusters".
allowed-tools
Read, Grep, Write, Edit, Bash(helm:*), Bash(terraform:*), Bash(kubectl:*), Bash(castctl:*)
compatibility
Requires an existing infrastructure delivery system and cloud-specific CAST AI permissions reviewed for each target cluster
version
2.0.0
argument-hint
[infrastructure-root-and-cluster-ring]
model
inherit
effort
high
license
MIT
author
Jeremy Longshore <jeremy@intentsolutions.io>
tags
saas, kubernetes, cast-ai, gitops, deployment

CAST AI Deployment Integration

Overview

Make the repository the declared source of truth for CAST AI installation and policy, then promote one cluster ring at a time. Keep registration, cloud permissions, chart configuration, and automation decisions independently reviewable.

Prerequisites

  • Target clusters grouped into canary, staging, and production rings
  • A chosen owner: Terraform, GitOps Helm, castctl, or console
  • Pinned provider, module, chart, and policy inputs
  • Secret delivery that does not commit or render credentials into artifacts

Instructions

Step 1: Inventory existing ownership

Use Read and Grep to find CAST AI resources, individual component charts, the unified castai chart, Terraform state addresses, Flux or Argo CD objects, and console-only settings. Stop if two systems can reconcile the same resource.

Step 2: Define the repository contract

Use Write or Edit to separate cluster registration, cloud IAM, Helm values, scaling policies, node templates, workload annotations, notification settings, and automation toggles. Parameterize organization, region, and cluster identity; never parameterize a secret with a committed literal.

Step 3: Render and plan

Use Bash(helm:) to lint and render the pinned chart. Use Bash(terraform:) to format, validate, and save a plan. Use Bash(kubectl:*) for client-side manifest checks. Review RBAC, webhooks, CRDs, namespace, disruption behavior, deleted resources, and ownership transfers.

Step 4: Handle existing installations

If the cluster uses individual CAST AI Helm releases, evaluate the documented castctl cluster migrate path to the unified umbrella chart. Use Bash(castctl:*) only after recording current releases, values, rollback, and the exact cluster context.

Step 5: Promote by ring

Apply through the declared delivery controller to one canary cluster. Verify agent health, telemetry, policy state, and automation boundaries before staging and production. Require an explicit approval between rings and preserve the reviewed artifact digest.

Show full SKILL.md (197 more words)Show less
Step 6: Prove rollback and drift detection

Document how to revert the Git commit or Terraform change, restore policy assignments, and detect console drift. A rollback must preserve cluster connectivity and workload availability; do not assume uninstalling is harmless.

Tool Discipline

Use Read and Grep for ownership discovery. Use Write and Edit for infrastructure definitions and runbooks. Use Bash(helm:), Bash(terraform:), and Bash(kubectl:) for bounded render, plan, and verification. Use Bash(castctl:) only for documented migration or connection actions inside an approved window.

Output

  • Source-of-truth and ownership map
  • Pinned rendered and planned artifacts
  • Ring promotion and health receipts
  • Drift and rollback procedure

Examples

A team migrates legacy per-component releases to the unified chart in one canary cluster, then lets Argo CD own the pinned result. Terraform continues to own cloud IAM but not Helm values.

Error Handling

FailureResponse
Two reconcilers own one objectStop promotion and choose one authority
Plan deletes registration or IAM unexpectedlyReject the plan and reconcile state
Rendered output includes a keyRemove the secret from values and rotate it
Canary loses telemetryRoll back before promoting another cluster

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-deploy-integration of jeremylongshore/tons-of-skills-marketplace.

  • SKILL.md
  • references/official-docs.md

Open the folder on GitHubat commit cfae287

Compare with similar skills

Castai Deploy Integration 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.

Castai Deploy Integration compared with similar skills
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Castai Deploy Integration this skilljeremylongshore/tons-of-skills-marketplace2.8k—~1.2kAutomated safety check: PassMIT
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Devops Excellencemajiayu000/spellbook287—~2.4kAutomated safety check: NotesMIT
Devops EngineerYikai-Liao/symusic1891 repos~1.5kAutomated safety check: PassMIT
Senior DevOps Toolkitmaslennikov-ig/claude-code-orchestrator-kit2606 repos~1.1kAutomated safety check: NotesCustom licence
Spa Create Configsplunk/splunk-platform-automator138—~3.5kAutomated safety check: PassProprietary

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Works with

Categories

Questions about Castai Deploy Integration

What does Castai Deploy Integration do?

Deploy CAST AI through a reviewable GitOps or Terraform lane with pinned artifacts, explicit control ownership, and staged promotion. Castai Deploy Integration is an agent skill from jeremylongshore/tons-of-skills-marketplace. Deploy CAST AI through a reviewable GitOps or Terraform lane with pinned artifacts, explicit control ownership, and staged promotion.

When should I use Castai Deploy Integration?

Castai Deploy Integration fits situations like: standardizing CAST AI across clusters; moving console-managed configuration into code; with: deploy CAST AI with GitOps; manage CAST AI as code.

How do I install Castai Deploy Integration in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill castai-deploy-integration -a claude-code`. Or copy the skill folder (skills/.curated/castai-deploy-integration in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/castai-deploy-integration in your project. Claude Code loads it when a task matches its description.

How do I install Castai Deploy Integration in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill castai-deploy-integration -a codex`. Or copy the skill folder (skills/.curated/castai-deploy-integration in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/castai-deploy-integration in your project. Codex loads it when a task matches its description.

Can I use Castai Deploy Integration 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-deploy-integration -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/castai-deploy-integration, .gemini/skills/castai-deploy-integration, .github/skills/castai-deploy-integration and .opencode/skills/castai-deploy-integration in your project.

What does Castai Deploy Integration need to run?

SKILL.md names no scripts, command-line tools or credentials: Castai Deploy Integration is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Grep, Write, Edit, Bash(helm:*), Bash(terraform:*), Bash(kubectl:*), Bash(castctl:*). Compatibility (from SKILL.md): Requires an existing infrastructure delivery system and cloud-specific CAST AI permissions reviewed for each target cluster.

Does Castai Deploy Integration 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 Deploy Integration 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 Deploy Integration use?

Castai Deploy Integration 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 Deploy Integration use?

About 1.2k tokens (SKILL.md is roughly 4.9k 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 209 tokens, read only when the agent opens those files.

What are the alternatives to Castai Deploy Integration?

Skills that share tags, products or a category with Castai Deploy Integration: Deploying Applications (ancoleman/ai-design-components, 525 stars), Devops Excellence (majiayu000/spellbook, 287 stars), Devops Engineer (Yikai-Liao/symusic, 189 stars) and Senior DevOps Toolkit (maslennikov-ig/claude-code-orchestrator-kit, 260 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Castai Deploy Integration?

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.