pulumi-neo
Manages cloud infrastructure through natural language conversations with Pulumi Neo, an AI agent for platform engineers. Enables infrastructure analysis, resource provisioning, stack deployment, and configuration management via conversational AI. Use when creating Neo tasks, requesting infrastructure analysis, automating cloud deployments, managing infrastructure as code (IaC), provisioning AWS/Azure/GCP resources, or managing infrastructure through natural language prompts.
100
Does it follow best practices?
Validation for skill structure
Discovery
100%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 well-crafted skill description that excels across all dimensions. It clearly identifies the tool (Pulumi Neo), lists specific capabilities, and provides comprehensive trigger guidance with natural keywords that platform engineers would use. The description effectively distinguishes itself from generic cloud or infrastructure skills through its focus on conversational AI-driven infrastructure management.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: 'infrastructure analysis', 'resource provisioning', 'stack deployment', and 'configuration management'. Also mentions specific cloud providers (AWS/Azure/GCP) and the concept of infrastructure as code (IaC). | 3 / 3 |
Completeness | Clearly answers both what (manages cloud infrastructure, enables analysis/provisioning/deployment/configuration) AND when with explicit 'Use when...' clause listing six specific trigger scenarios including Neo tasks, infrastructure analysis, and cloud deployments. | 3 / 3 |
Trigger Term Quality | Excellent coverage of natural terms users would say: 'cloud infrastructure', 'Neo tasks', 'infrastructure analysis', 'cloud deployments', 'IaC', 'AWS/Azure/GCP resources', 'natural language prompts', and 'Pulumi'. These are terms platform engineers would naturally use. | 3 / 3 |
Distinctiveness Conflict Risk | Highly distinctive with clear niche: specifically targets Pulumi Neo for conversational infrastructure management. The combination of 'Pulumi Neo', 'Neo tasks', and 'natural language' infrastructure management creates a unique identifier unlikely to conflict with generic cloud or IaC skills. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
100%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a high-quality skill that efficiently teaches Claude how to interact with Pulumi Neo. It provides executable code examples, clear workflow sequences with validation checkpoints, and appropriate progressive disclosure. The emphasis on --no-poll for Claude Code usage shows awareness of the execution context.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is lean and efficient, assuming Claude's competence with infrastructure concepts. No unnecessary explanations of what Pulumi, cloud infrastructure, or APIs are - it jumps straight to actionable content. | 3 / 3 |
Actionability | Provides fully executable bash commands and Python script invocations that are copy-paste ready. Includes complete curl examples with proper headers, timestamps, and jq parsing. All code is concrete and executable. | 3 / 3 |
Workflow Clarity | Clear multi-step workflows with explicit validation points. The approval flow section clearly sequences: detect approval request → review changes → send approval/cancellation. The troubleshooting table provides error recovery guidance. The --no-poll flag is emphasized to prevent blocking. | 3 / 3 |
Progressive Disclosure | Well-structured with quick start at top, detailed usage in middle, and reference link to full API docs at bottom. References are one level deep with clear signaling: 'See [references/pulumi-neo-api.md](references/pulumi-neo-api.md) for full details.' | 3 / 3 |
Total | 12 / 12 Passed |
Validation
100%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 11 / 11 Passed
Validation for skill structure
No warnings or errors.
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