code-optimizer
Optimizes code for performance by identifying the actual bottleneck, choosing the right optimization lever, and measuring the result. Use when a specific operation is too slow, when a profiler has pointed at a hot path, or when the user asks to make something faster.
Install with Tessl CLI
npx tessl i github:santosomar/general-secure-coding-agent-skills --skill code-optimizer100
Quality
100%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
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 uses third person voice, provides specific concrete actions describing the optimization methodology, includes natural trigger terms users would actually say, and has an explicit 'Use when...' clause with multiple trigger scenarios. The description clearly carves out a distinct niche for performance optimization work.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: 'identifying the actual bottleneck', 'choosing the right optimization lever', and 'measuring the result'. These describe a clear methodology with distinct steps. | 3 / 3 |
Completeness | Clearly answers both what ('Optimizes code for performance by identifying the actual bottleneck, choosing the right optimization lever, and measuring the result') AND when ('Use when a specific operation is too slow, when a profiler has pointed at a hot path, or when the user asks to make something faster'). | 3 / 3 |
Trigger Term Quality | Includes natural keywords users would say: 'too slow', 'profiler', 'hot path', 'make something faster'. These cover common variations of how users express performance concerns. | 3 / 3 |
Distinctiveness Conflict Risk | Clear niche focused specifically on performance optimization with distinct triggers like 'profiler', 'hot path', 'too slow', and 'faster'. Unlikely to conflict with general coding or debugging 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 excellent skill that embodies the measurement-first philosophy it preaches. It's dense with actionable guidance (tool tables, lever rankings, worked example with real code), maintains clear workflow with validation checkpoints, and respects token budget by assuming Claude's competence. The 'Common traps' and 'Do not' sections add high value by preventing predictable mistakes.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Every section earns its place. The tables are dense with information, the worked example is essential for demonstrating the methodology, and there's no explanation of concepts Claude already knows (no 'what is profiling' preamble). | 3 / 3 |
Actionability | Provides specific tools for each scenario, executable code in the worked example, concrete commands (py-spy top), and a clear output format template. The lever table gives specific guidance on when each optimization applies. | 3 / 3 |
Workflow Clarity | Clear 4-step sequence (question → profile → pick lever → measure again) with explicit validation checkpoints. Step 3 emphasizes the feedback loop of 'change one thing, measure again' and the output format requires before/after measurements and behavior verification. | 3 / 3 |
Progressive Disclosure | Well-organized with clear sections (Step 0-3, worked example, traps, do-nots, output format). Content is appropriately self-contained for a skill of this scope. The reference to behavior-preservation-checker is a clean one-level-deep pointer. | 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.
- Reviewed
Table of Contents
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