m14-mental-model
Use when learning Rust concepts. Keywords: mental model, how to think about ownership, understanding borrow checker, visualizing memory layout, analogy, misconception, explaining ownership, why does Rust, help me understand, confused about, learning Rust, explain like I'm, ELI5, intuition for, coming from Java, coming from Python, 心智模型, 如何理解所有权, 学习 Rust, Rust 入门, 为什么 Rust
68
61%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./skills/m14-mental-model/SKILL.mdQuality
Discovery
37%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 description has excellent trigger term coverage with natural phrases users would say when learning Rust, including multilingual support. However, it critically fails to describe what the skill actually does - it's essentially just a keyword list with no capability description. The complete absence of action verbs or concrete capabilities makes it impossible to know what help this skill provides.
Suggestions
Add a capability statement at the beginning describing what the skill does, e.g., 'Explains Rust concepts through analogies, mental models, and visualizations. Helps developers understand ownership, borrowing, and lifetimes by relating them to familiar concepts from other languages.'
Structure the description with 'what' first, then 'when/keywords', e.g., 'Teaches Rust fundamentals through intuitive explanations and analogies for developers from other language backgrounds. Use when...'
Remove redundant keywords and consolidate into a cleaner format - the current list is comprehensive but the lack of any action description undermines its usefulness for skill selection.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | The description lacks any concrete actions. It only says 'Use when learning Rust concepts' without specifying what the skill actually does - no verbs describing capabilities like 'explains', 'visualizes', 'teaches', or 'provides analogies'. | 1 / 3 |
Completeness | The description answers 'when' extensively with keywords but completely fails to answer 'what does this do'. There is no explanation of the skill's capabilities or actions - only trigger conditions and keywords. | 1 / 3 |
Trigger Term Quality | Excellent coverage of natural trigger terms users would say: 'help me understand', 'confused about', 'explain like I'm', 'ELI5', 'coming from Java/Python', plus specific Rust concepts like 'ownership', 'borrow checker', and even Chinese equivalents for international users. | 3 / 3 |
Distinctiveness Conflict Risk | The Rust-specific keywords and concepts like 'ownership', 'borrow checker', and 'memory layout' create some distinctiveness, but without stating what the skill does, it could overlap with any Rust-related skill (documentation, coding, debugging). | 2 / 3 |
Total | 7 / 12 Passed |
Implementation
85%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a well-crafted conceptual skill that efficiently uses tables and ASCII diagrams to convey mental models for Rust learning. It excels at conciseness and organization, providing clear navigation between related skills. The main weakness is limited actionability - while appropriate for a mental-model skill, adding one or two concrete code snippets showing how to apply these models when debugging would strengthen it.
Suggestions
Add 1-2 minimal code examples in the 'Common Misconceptions' section showing the error and the fix, making the mental model immediately applicable
Include a brief example in 'Thinking Prompt' showing how to apply the 3-step process to a specific borrow checker error
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Extremely lean and efficient use of tables and diagrams. No unnecessary explanations of basic concepts - assumes Claude understands programming and can apply analogies directly. | 3 / 3 |
Actionability | Provides mental models and analogies rather than executable code, which is appropriate for a conceptual skill. However, the 'Thinking Prompt' section offers concrete diagnostic questions but lacks specific code examples showing how to apply these models. | 2 / 3 |
Workflow Clarity | Clear learning path with staged progression. The 'Trace Up/Down' sections provide explicit navigation for different learning needs. The 'Thinking Prompt' offers a clear 3-step diagnostic process for confusion. | 3 / 3 |
Progressive Disclosure | Well-organized with clear sections and tables. References to related skills (m01-m15) are one level deep and clearly signaled in the 'Related Skills' section. Content is appropriately structured for quick scanning. | 3 / 3 |
Total | 11 / 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 |
|---|---|---|
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
Total | 10 / 11 Passed | |
- Repository
- actionbook/rust-skills
- Commit
1f4becd
- Reviewed
Table of Contents
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