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".
98
100%
Does it follow best practices?
Impact
92%
1.19xAverage score across 3 eval scenarios
Advisory
Suggest reviewing before use
Quality
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 provides comprehensive coverage of capabilities, includes abundant natural trigger terms that users would actually type, explicitly states when to use it, and is clearly distinguishable from other skills due to its specific focus on the pixi package manager.
| 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'. These are concrete, actionable capabilities. | 3 / 3 |
Completeness | Clearly answers both what (comprehensive pixi operations from beginner to advanced) and when ('Use for...' clause with explicit triggers). The 'e.g.' examples provide additional explicit trigger guidance. | 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'. These match real user queries. | 3 / 3 |
Distinctiveness Conflict Risk | Very clear niche focused specifically on 'pixi package manager'. The specific tool name, file types (pixi.toml), and pixi-specific commands make it highly unlikely to conflict with other package manager or Python 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 an exemplary skill file that demonstrates excellent token efficiency while providing comprehensive, actionable guidance. The structure balances quick-start accessibility with advanced topics, uses tables effectively for reference information, and properly delegates detailed content to reference files with clear loading instructions. The Do/Don't section provides strong guardrails with justified reasoning.
| 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 avoids explaining basic concepts like what a lock file is or why reproducibility matters beyond the essential directive. | 3 / 3 |
Actionability | Provides fully executable commands and complete configuration examples throughout. Code blocks are copy-paste ready with real syntax for pixi.toml, pyproject.toml, Docker, and GitHub Actions. | 3 / 3 |
Workflow Clarity | Multi-step processes are clearly sequenced with explicit validation patterns. The lock file management section shows clear install modes (--frozen, --locked), and the Docker integration shows a complete build workflow with proper staging. | 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 explicit 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.
- Repository
- jjjermiah/dotagents
- Commit
b74de5e
- Reviewed
Table of Contents
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