pixi-expert
Comprehensive pixi package manager skill for all pixi operations from beginner to advanced. Use for initializing projects, managing dependencies, configuring environments, multi-environment setups, workspace composition, system requirements (CUDA/glibc), task workflows, CI/CD integration, or any pixi.toml/pyproject.toml configuration—e.g., "pixi init", "pixi add numpy", "setup multi-environment project", "configure CUDA", "monorepo workspace", "pixi.lock issues", "Docker with pixi", "GitHub Actions pixi".
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 an excellent skill description that hits all the marks. It clearly identifies the tool (pixi package manager), lists comprehensive specific capabilities, provides explicit 'Use for...' guidance with natural trigger terms, and includes concrete example phrases users would actually type. The description is distinctive and would not conflict with other package manager skills.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: 'initializing projects, managing dependencies, configuring environments, multi-environment setups, workspace composition, system requirements (CUDA/glibc), task workflows, CI/CD integration'. Provides concrete examples like 'pixi init', 'pixi add numpy'. | 3 / 3 |
Completeness | Clearly answers both what (comprehensive pixi operations from beginner to advanced) and when with explicit 'Use for...' clause followed by specific trigger scenarios and example phrases. | 3 / 3 |
Trigger Term Quality | Excellent coverage of natural terms users would say: 'pixi init', 'pixi add numpy', 'setup multi-environment project', 'configure CUDA', 'monorepo workspace', 'pixi.lock issues', 'Docker with pixi', 'GitHub Actions pixi', 'pixi.toml', 'pyproject.toml'. | 3 / 3 |
Distinctiveness Conflict Risk | Very clear niche focused specifically on 'pixi package manager' with distinct triggers like 'pixi.toml', 'pixi init', 'pixi add'. Unlikely to conflict with other package manager skills due to explicit pixi-specific terminology throughout. | 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 an exemplary skill document that efficiently covers pixi from basics to advanced usage. It excels at providing actionable, copy-paste ready examples while maintaining excellent organization through tables, clear sections, and appropriate references to detailed materials. The Do/Don't section with strong warnings about common pitfalls adds significant value.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is lean and efficient, using tables and code blocks effectively. It assumes Claude's competence with package managers and doesn't explain basic concepts like what conda or PyPI are. | 3 / 3 |
Actionability | Provides fully executable commands and copy-paste ready configuration examples throughout. Code blocks are complete and specific, from basic `pixi init` to complex multi-environment TOML configurations and Docker/CI integration. | 3 / 3 |
Workflow Clarity | Multi-step processes are clearly sequenced with explicit validation guidance. Lock file management includes frozen/locked flags for different scenarios, and the troubleshooting section provides a clear diagnostic workflow. | 3 / 3 |
Progressive Disclosure | Excellent structure with a clear overview and well-signaled one-level-deep references to detailed materials (environments.md, system-requirements.md, workspace.md). Each reference includes specific guidance on when to load it. | 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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