helm-chart-scaffolding
Design, organize, and manage Helm charts for templating and packaging Kubernetes applications with reusable configurations. Use when creating Helm charts, packaging Kubernetes applications, or implementing templated deployments.
79
70%
Does it follow best practices?
Impact
97%
1.03xAverage score across 3 eval scenarios
Advisory
Suggest reviewing before use
Optimize this skill with Tessl
npx tessl skill review --optimize ./tests/ext_conformance/artifacts/agents-wshobson/kubernetes-operations/skills/helm-chart-scaffolding/SKILL.mdQuality
Discovery
89%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This is a solid skill description that clearly identifies its domain (Helm charts for Kubernetes) and provides explicit trigger guidance via a 'Use when...' clause. Its main weakness is that the capability actions are somewhat high-level—terms like 'design, organize, and manage' could be more concrete with specific sub-tasks. Overall it performs well for skill selection purposes.
Suggestions
Add more specific concrete actions such as 'create values.yaml files, write Go templates, manage chart dependencies, configure chart repositories, handle Helm releases' to improve specificity.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Names the domain (Helm charts, Kubernetes) and some actions (design, organize, manage, templating, packaging), but the actions are somewhat generic and not deeply specific—e.g., it doesn't mention concrete tasks like creating values.yaml, writing templates, managing dependencies, or handling chart repositories. | 2 / 3 |
Completeness | Clearly answers both 'what' (design, organize, manage Helm charts for templating and packaging Kubernetes applications) and 'when' with an explicit 'Use when...' clause covering creating Helm charts, packaging Kubernetes applications, or implementing templated deployments. | 3 / 3 |
Trigger Term Quality | Includes strong natural keywords users would say: 'Helm charts', 'Kubernetes applications', 'templated deployments', 'packaging', 'reusable configurations'. These are terms a user working with Helm would naturally use in their request. | 3 / 3 |
Distinctiveness Conflict Risk | Helm charts occupy a clear niche distinct from general Kubernetes skills or generic deployment tools. The specific mention of Helm, chart packaging, and templated deployments makes it unlikely to conflict with other skills like general Kubernetes management or Docker skills. | 3 / 3 |
Total | 11 / 12 Passed |
Implementation
50%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill is highly actionable with complete, executable examples covering the full Helm chart lifecycle, but it's far too verbose for a skill file - it explains concepts Claude already knows, includes boilerplate that `helm create` generates, and inlines content that should be in reference files. The workflow is well-sequenced but lacks explicit validation gates between critical steps like validation and packaging.
Suggestions
Remove the 'Helm Overview' and 'When to Use This Skill' sections entirely - Claude knows what Helm is and the YAML frontmatter handles triggering
Move the full Chart.yaml, values.yaml, _helpers.tpl, and common patterns content into referenced asset files, keeping only a minimal quick-start example inline
Add an explicit validation gate: 'Do NOT proceed to packaging (step 8) until all lint and template validation passes. If errors occur, fix and re-run step 7.'
Remove inline comments that explain obvious fields (e.g., '# Chart metadata', '# Chart version', '# Default configuration values') to reduce token waste
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Extremely verbose - explains what Helm is (Claude knows this), includes unnecessary sections like 'When to Use This Skill' and 'Helm Overview', and provides exhaustive boilerplate that `helm create` already generates. The Chart.yaml example includes comments explaining obvious fields like '# Chart version' and '# Keywords for chart discovery'. Much of this is standard Helm knowledge that adds no value. | 1 / 3 |
Actionability | Provides fully executable code throughout - real bash commands, complete YAML templates with proper Go templating syntax, working validation scripts, and copy-paste ready examples for deployment, helpers, hooks, and tests. Every step includes concrete, runnable commands. | 3 / 3 |
Workflow Clarity | Steps are clearly numbered and sequenced (1-10), and step 7 includes validation commands. However, there's no explicit feedback loop - the validation step doesn't clearly state 'fix and re-validate before proceeding' and there's no checkpoint gating between validation and packaging/distribution (steps 7→8). For chart manipulation which can produce broken deployments, this gap is notable. | 2 / 3 |
Progressive Disclosure | References external files (assets/Chart.yaml.template, scripts/validate-chart.sh, references/chart-structure.md) which is good, but the main file is a monolithic wall of ~350+ lines with extensive inline content that could be split out. The values.yaml, helpers.tpl, and common patterns sections could each be separate reference files, with the SKILL.md serving as a concise overview. | 2 / 3 |
Total | 8 / 12 Passed |
Validation
90%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 10 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
skill_md_line_count | SKILL.md is long (567 lines); consider splitting into references/ and linking | Warning |
Total | 10 / 11 Passed | |
- Repository
- Dicklesworthstone/pi_agent_rust
- Commit
6e3d68c
- Reviewed
Table of Contents
Is this your skill?
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.