Agent skill

Helm Chart Scaffolding

by diegosouzapw in diegosouzapw/awesome-omni-skills

Helm Chart Scaffolding workflow skill. An agent skill from diegosouzapw/awesome-omni-skills.

MITAuto-check passedDevOps & Cloud

Install Helm Chart Scaffolding

skills CLI
$ npx skills add diegosouzapw/awesome-omni-skills --skill helm-chart-scaffolding -a claude-code

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

GitHub CLI
$ gh skill install diegosouzapw/awesome-omni-skills helm-chart-scaffolding --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/diegosouzapw/awesome-omni-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/helm-chart-scaffolding .claude/skills/helm-chart-scaffolding && 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
helm-chart-scaffolding
GitHub stars
159
Token cost
~2.4k tokens
SKILL.md length
1,064 words
Files
8 (incl. scripts, references, assets)
Skills in repo
39
Repo updated
First seen
Licence
MIT

At a glance

Helm Chart Scaffolding workflow skill. An agent skill from diegosouzapw/awesome-omni-skills.

  • Works in 7 steps: Clarify goals, constraints, and required… → Apply relevant best practices and… → Provide actionable steps and verification. → …
  • The user needs Comprehensive guidance for creating
  • SKILL.md covers Overview, When to Use This Skill, Operating Table and Workflow, plus 5 more sections
  • Runs Shell scripts from its folder; reaches github.com

What it does

Helm Chart Scaffolding is an agent skill from diegosouzapw/awesome-omni-skills. Helm Chart Scaffolding workflow skill. Use this skill when the user needs Comprehensive guidance for creating, organizing, and managing Helm charts for packaging and deploying Kubernetes applications and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

Its SKILL.md is about 2.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 11 other files, including scripts, reference files and assets (for example `ORIGIN.md`, `metadata.json` and `references/chart-structure.md`).

It sits in DevOps & Cloud, covering Container orchestration and Project scaffolding. It works with Helm and Kubernetes. The repository describes itself as: Public repository of AI coding skills, curated improved best-practice skills, and runtime surfaces for CLI, API, MCP, and A2A. The licence is MIT.

When your agent uses it

  • The user needs Comprehensive guidance for creating
  • Managing Helm charts for packaging and deploying Kubernetes applications and the operator should preserve the upstream workflow
  • Copied support files
  • Provenance before merging

Example prompts

  • “/helm-chart-scaffolding”

Requirements

  • A Bash shell

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

  1. Clarify goals, constraints, and required inputs.
  2. Apply relevant best practices and validate outcomes.
  3. Provide actionable steps and verification.
  4. If detailed examples are required, open resources/implementation-playbook.md.
  5. Confirm the user goal, the scope of the imported workflow, and whether this skill is still the right router for the task.
  6. Read the overview and provenance files before loading any copied upstream support files.
  7. Load only the references, examples, prompts, or scripts that materially change the outcome for the current request.

What it can do on your machine

Read from SKILL.md and the folder at commit c3af004. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Shell), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • github.com

    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.

Context cost

Helm Chart Scaffolding loads about 2.4k tokens when it runs, and up to ~5.4k if it reads all its reference files. Until then it costs about 87 tokens; SKILL.md has 1,064 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~87
When it runs · the whole SKILL.md, loaded when a task matches
~2.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~5.4k

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); the scripts in this folder are not scanned.

SKILL.md

The full file from diegosouzapw/awesome-omni-skills at commit c3af004, republished under its MIT licence (© diegosouzapw). 1,064 words, ~2,447 tokens.

Download SKILL.mdSave it as .claude/skills/helm-chart-scaffolding/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.
name
helm-chart-scaffolding
description
Helm Chart Scaffolding workflow skill. Use this skill when the user needs Comprehensive guidance for creating, organizing, and managing Helm charts for packaging and deploying Kubernetes applications and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
version
0.0.1
category
devops
tags
helm-chart-scaffolding, comprehensive, guidance, for, creating, organizing, and, managing
complexity
intermediate
risk
safe
tools
codex-cli, claude-code, cursor, gemini-cli, opencode
source
community
author
sickn33
date_added
2026-04-15
date_updated
2026-04-25

Helm Chart Scaffolding

Overview

This public intake copy packages plugins/antigravity-awesome-skills-claude/skills/helm-chart-scaffolding from https://github.com/sickn33/antigravity-awesome-skills into the native Omni Skills editorial shape without hiding its origin.

Use it when the operator needs the upstream workflow, support files, and repository context to stay intact while the public validator and private enhancer continue their normal downstream flow.

This intake keeps the copied upstream files intact and uses the external_source block in metadata.json plus ORIGIN.md as the provenance anchor for review.

Helm Chart Scaffolding Comprehensive guidance for creating, organizing, and managing Helm charts for packaging and deploying Kubernetes applications.

Imported source sections that did not map cleanly to the public headings are still preserved below or in the support files. Notable imported sections: Limitations.

When to Use This Skill

Use this section as the trigger filter. It should make the activation boundary explicit before the operator loads files, runs commands, or opens a pull request.

  • Create new Helm charts from scratch
  • Package Kubernetes applications for distribution
  • Manage multi-environment deployments with Helm
  • Implement templating for reusable Kubernetes manifests
  • Set up Helm chart repositories
  • Follow Helm best practices and conventions

Operating Table

SituationStart hereWhy it matters
First-time usemetadata.jsonConfirms repository, branch, commit, and imported path through the external_source block before touching the copied workflow
Provenance reviewORIGIN.mdGives reviewers a plain-language audit trail for the imported source
Workflow executionreferences/chart-structure.mdStarts with the smallest copied file that materially changes execution
Supporting contextscripts/validate-chart.shAdds the next most relevant copied source file without loading the entire package
Handoff decision## Related SkillsHelps the operator switch to a stronger native skill when the task drifts

Workflow

This workflow is intentionally editorial and operational at the same time. It keeps the imported source useful to the operator while still satisfying the public intake standards that feed the downstream enhancer flow.

  1. Clarify goals, constraints, and required inputs.
  2. Apply relevant best practices and validate outcomes.
  3. Provide actionable steps and verification.
  4. If detailed examples are required, open resources/implementation-playbook.md.
  5. Confirm the user goal, the scope of the imported workflow, and whether this skill is still the right router for the task.
  6. Read the overview and provenance files before loading any copied upstream support files.
  7. Load only the references, examples, prompts, or scripts that materially change the outcome for the current request.
Imported Workflow Notes
Imported: Instructions
  • Clarify goals, constraints, and required inputs.
  • Apply relevant best practices and validate outcomes.
  • Provide actionable steps and verification.
  • If detailed examples are required, open resources/implementation-playbook.md.
Imported: Limitations
  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

Examples

Example 1: Ask for the upstream workflow directly
text
Use @helm-chart-scaffolding to handle <task>. Start from the copied upstream workflow, load only the files that change the outcome, and keep provenance visible in the answer.

Explanation: This is the safest starting point when the operator needs the imported workflow, but not the entire repository.

Example 2: Ask for a provenance-grounded review
text
Review @helm-chart-scaffolding against metadata.json and ORIGIN.md, then explain which copied upstream files you would load first and why.

Explanation: Use this before review or troubleshooting when you need a precise, auditable explanation of origin and file selection.

Example 3: Narrow the copied support files before execution
text
Use @helm-chart-scaffolding for <task>. Load only the copied references, examples, or scripts that change the outcome, and name the files explicitly before proceeding.

Explanation: This keeps the skill aligned with progressive disclosure instead of loading the whole copied package by default.

Example 4: Build a reviewer packet
text
Review @helm-chart-scaffolding using the copied upstream files plus provenance, then summarize any gaps before merge.

Explanation: This is useful when the PR is waiting for human review and you want a repeatable audit packet.

Best Practices

Treat the generated public skill as a reviewable packaging layer around the upstream repository. The goal is to keep provenance explicit and load only the copied source material that materially improves execution.

  • Keep the imported skill grounded in the upstream repository; do not invent steps that the source material cannot support.
  • Prefer the smallest useful set of support files so the workflow stays auditable and fast to review.
  • Keep provenance, source commit, and imported file paths visible in notes and PR descriptions.
  • Point directly at the copied upstream files that justify the workflow instead of relying on generic review boilerplate.
  • Treat generated examples as scaffolding; adapt them to the concrete task before execution.
  • Route to a stronger native skill when architecture, debugging, design, or security concerns become dominant.
Show full SKILL.md (366 more words)Show less

Troubleshooting

Problem: The operator skipped the imported context and answered too generically

Symptoms: The result ignores the upstream workflow in plugins/antigravity-awesome-skills-claude/skills/helm-chart-scaffolding, fails to mention provenance, or does not use any copied source files at all. Solution: Re-open metadata.json, ORIGIN.md, and the most relevant copied upstream files. Check the external_source block first, then restate the provenance before continuing.

Problem: The imported workflow feels incomplete during review

Symptoms: Reviewers can see the generated SKILL.md, but they cannot quickly tell which references, examples, or scripts matter for the current task. Solution: Point at the exact copied references, examples, scripts, or assets that justify the path you took. If the gap is still real, record it in the PR instead of hiding it.

Problem: The task drifted into a different specialization

Symptoms: The imported skill starts in the right place, but the work turns into debugging, architecture, design, security, or release orchestration that a native skill handles better. Solution: Use the related skills section to hand off deliberately. Keep the imported provenance visible so the next skill inherits the right context instead of starting blind.

  • @00-andruia-consultant - Use when the work is better handled by that native specialization after this imported skill establishes context.
  • @00-andruia-consultant-v2 - Use when the work is better handled by that native specialization after this imported skill establishes context.
  • @10-andruia-skill-smith - Use when the work is better handled by that native specialization after this imported skill establishes context.
  • @10-andruia-skill-smith-v2 - Use when the work is better handled by that native specialization after this imported skill establishes context.

Additional Resources

Use this support matrix and the linked files below as the operator packet for this imported skill. They should reflect real copied source material, not generic scaffolding.

Resource familyWhat it gives the reviewerExample path
referencescopied reference notes, guides, or background material from upstreamreferences/chart-structure.md
examplesworked examples or reusable prompts copied from upstreamexamples/n/a
scriptsupstream helper scripts that change execution or validationscripts/validate-chart.sh
agentsrouting or delegation notes that are genuinely part of the imported packageagents/n/a
assetssupporting assets or schemas copied from the source packageassets/Chart.yaml.template
Imported Reference Notes
Imported: Resources
  • resources/implementation-playbook.md for detailed patterns and examples.

© diegosouzapw, 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 7 other files (scripts, references, assets) in skills/helm-chart-scaffolding of diegosouzapw/awesome-omni-skills.

  • SKILL.md
  • ORIGIN.md
  • assets/Chart.yaml.template
  • assets/values.yaml.template
  • metadata.json
  • references/chart-structure.md
  • resources/implementation-playbook.md
  • scripts/validate-chart.sh

Open the folder on GitHubat commit c3af004

Compare with similar skills

Helm Chart Scaffolding 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.

Helm Chart Scaffolding compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Helm Chart Scaffolding this skilldiegosouzapw/awesome-omni-skills159—~2.4kAutomated safety check: PassMIT
Helm Chart ScaffoldingCybereason-Public/owLSM28013 repos~381Automated safety check: PassGPL-2.0
Sim Helmsimstudioai/sim30k—~2.2kAutomated safety check: PassApache-2.0
NGINX Ingress Controller Feature Checklistsnginx/kubernetes-ingress5.1k—~1.4kAutomated safety check: PassApache-2.0
Kubernetes SpecialistJeffallan/claude-skills12k1 repos~2.1kAutomated safety check: PassMIT
KubeShark for KubernetesLukasNiessen/kubernetes-skill444—~1.2kAutomated safety check: PassMIT

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Works with

Categories

Questions about Helm Chart Scaffolding

What does Helm Chart Scaffolding do?

Helm Chart Scaffolding workflow skill. An agent skill from diegosouzapw/awesome-omni-skills. Helm Chart Scaffolding is an agent skill from diegosouzapw/awesome-omni-skills. Helm Chart Scaffolding workflow skill.

When should I use Helm Chart Scaffolding?

Helm Chart Scaffolding fits situations like: the user needs Comprehensive guidance for creating; managing Helm charts for packaging and deploying Kubernetes applications and the operator should preserve the upstream workflow; copied support files; provenance before merging.

How do I install Helm Chart Scaffolding in Claude Code?

Run `npx skills add diegosouzapw/awesome-omni-skills --skill helm-chart-scaffolding -a claude-code`. Or copy the skill folder (skills/helm-chart-scaffolding in diegosouzapw/awesome-omni-skills) into .claude/skills/helm-chart-scaffolding in your project. Claude Code loads it when a task matches its description.

How do I install Helm Chart Scaffolding in Codex?

Run `npx skills add diegosouzapw/awesome-omni-skills --skill helm-chart-scaffolding -a codex`. Or copy the skill folder (skills/helm-chart-scaffolding in diegosouzapw/awesome-omni-skills) into .agents/skills/helm-chart-scaffolding in your project. Codex loads it when a task matches its description.

Can I use Helm Chart Scaffolding 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 diegosouzapw/awesome-omni-skills --skill helm-chart-scaffolding -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/helm-chart-scaffolding, .gemini/skills/helm-chart-scaffolding, .github/skills/helm-chart-scaffolding and .opencode/skills/helm-chart-scaffolding in your project.

What does Helm Chart Scaffolding need to run?

Going by SKILL.md and its folder, Helm Chart Scaffolding needs a shell for the scripts in its folder. Our summary lists: A Bash shell.

Does Helm Chart Scaffolding access the network?

SKILL.md names 1 domain. In commands or code: github.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Helm Chart Scaffolding 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Helm Chart Scaffolding use?

Helm Chart Scaffolding is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Helm Chart Scaffolding use?

About 2.4k tokens (SKILL.md is roughly 9.8k 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 2.9k tokens, read only when the agent opens those files.

What are the alternatives to Helm Chart Scaffolding?

Skills that share tags, products or a category with Helm Chart Scaffolding: Helm Chart Scaffolding (Cybereason-Public/owLSM, 280 stars), Sim Helm (simstudioai/sim, 30k stars), NGINX Ingress Controller Feature Checklists (nginx/kubernetes-ingress, 5.1k stars) and Kubernetes Specialist (Jeffallan/claude-skills, 12k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Helm Chart Scaffolding?

diegosouzapw (a GitHub user) maintains it in diegosouzapw/awesome-omni-skills, which has 159 GitHub stars. The repository holds 39 skills in this directory. The repository was last updated on July 8, 2026.

Source: diegosouzapw/awesome-omni-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.