Analyze Cargo.toml dependencies and attempt to remove unused features to reduce compile times and binary size
74
72%
Does it follow best practices?
Impact
62%
1.40xAverage score across 3 eval scenarios
Advisory
Suggest reviewing before use
Optimize this skill with Tessl
npx tessl skill review --optimize ./.claude/skills/rationalize-deps/SKILL.mdQuality
Discovery
67%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
The description is specific and clearly scoped to a narrow Rust/Cargo optimization task, making it highly distinctive. However, it lacks an explicit 'Use when...' clause which limits completeness, and could benefit from additional trigger terms that users might naturally use when seeking this functionality.
Suggestions
Add a 'Use when...' clause, e.g., 'Use when the user wants to optimize Rust build times, trim Cargo.toml feature flags, or reduce binary size by removing unnecessary dependency features.'
Include additional natural trigger terms like 'Rust', 'crate features', 'build optimization', 'dependency bloat', or 'feature flags' to improve discoverability.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists specific concrete actions: 'Analyze Cargo.toml dependencies' and 'remove unused features' with clear outcomes 'reduce compile times and binary size'. | 3 / 3 |
Completeness | Clearly answers 'what does this do' (analyze Cargo.toml dependencies and remove unused features), but lacks an explicit 'Use when...' clause specifying when Claude should select this skill. | 2 / 3 |
Trigger Term Quality | Includes good natural keywords like 'Cargo.toml', 'dependencies', 'unused features', 'compile times', and 'binary size', but misses common variations users might say like 'Rust', 'crate features', 'build optimization', or 'dependency cleanup'. | 2 / 3 |
Distinctiveness Conflict Risk | Very specific niche targeting Cargo.toml feature optimization in Rust projects; unlikely to conflict with other skills due to the narrow domain of unused Cargo feature removal. | 3 / 3 |
Total | 10 / 12 Passed |
Implementation
77%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a solid, actionable skill with a well-defined multi-step workflow including validation checkpoints and rollback procedures. The concrete commands and real-world TOML examples make it immediately usable. Minor weaknesses include some unnecessary introductory explanation and the content being slightly monolithic for its length, though neither significantly impacts usability.
Suggestions
Trim the Overview section — the numbered list duplicates the step headings that follow immediately after.
Consider extracting the 'Common Patterns' section into a separate reference file (e.g., COMMON_PATTERNS.md) to keep the main skill leaner and improve progressive disclosure.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Generally efficient but includes some unnecessary explanation (e.g., 'Many crates enable features by default that may not be needed' and the overview section restating what the steps will cover). The common patterns section adds value but the tips section is somewhat generic. | 2 / 3 |
Actionability | Provides concrete, executable commands (cargo tree, cargo metadata with jq, cargo check), specific TOML configuration examples, and real-world patterns for common crates like serde, tokio, and reqwest. The guidance is copy-paste ready. | 3 / 3 |
Workflow Clarity | Clear 5-step sequence with explicit validation checkpoints (cargo check after each change, full workspace verification in Step 5), error recovery feedback loops (read errors → add features → re-check), binary search strategy for complex cases, and a rollback procedure. | 3 / 3 |
Progressive Disclosure | Content is reasonably well-structured with clear sections and headers, but it's all in a single file with no references to supporting materials. The common patterns section and binary search strategy could be split into separate reference files for a cleaner overview, though for a skill of this size it's borderline acceptable. | 2 / 3 |
Total | 10 / 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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Table of Contents
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