Helm Debugging
CheckedDiagnose Kubernetes deployment issues by analyzing logs, events, and resource states within your cluster.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add laurigates/claude-plugins --skill helm-debugging -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
laurigates
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned laurigates/claude-plugins at 45d1d7dcf6.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 45d1d7dcf6
- Scanned
- 2 files, 632 lines
About this skill
What it does
This skill enables AI agents to interact directly with Helm, the Kubernetes package manager. It allows agents to install, upgrade, and uninstall Helm charts while managing values files and handling complex chart dependencies automatically.
When to use it
- Automating the deployment of microservices across multiple Kubernetes clusters using a single command sequence.
- Troubleshooting failed chart installations by analyzing logs and retrying with corrected configuration values.
- Managing environment-specific overrides for production, staging, and development Helm releases without manual CLI intervention.
Key capabilities
- Executes standard Helm commands like
install,upgrade,rollback, anduninstall. - Parses and modifies YAML values files to customize chart behavior dynamically.
- Handles dependency resolution for charts that rely on other sub-charts or external repositories.
- Retrieves chart metadata and verifies repository availability before deployment.
Example prompts
- "Install the Prometheus Helm chart into the 'monitoring' namespace with a retention period of 15 days."
- "Upgrade the existing 'nginx-ingress' release to version 4.9.0 and apply these specific values for SSL configuration."
- "List all installed Helm releases in the cluster and show me the status of any that are not 'deployed'."
Tips & gotchas
Ensure your AI agent has read/write access to the target Kubernetes cluster via kubectl or a service account before attempting operations. Always validate complex values files against the chart schema to prevent deployment failures during automated upgrades.