code-optimizer

Analyzes and optimizes code for better performance, memory usage, and efficiency. Use when code is slow, memory-intensive, or inefficient. Supports Python and Java optimization including execution speed improvements, memory reduction, database query optimization, and I/O efficiency. Provides before/after examples with detailed explanations of why optimizations work, complexity analysis, and measurable performance improvements.

1.06x

Quality

88%

Does it follow best practices?

Impact

87%

1.06x

Average score across 3 eval scenarios

Securityby

Passed

No known issues

Quality

Content

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 strong, well-structured skill with excellent actionability and workflow clarity. The code examples are executable and the before/after format with complexity analysis is highly effective. Minor verbosity in introductory sections (Core Capabilities, Best Practices) could be trimmed, as Claude already understands these concepts.

Suggestions

Remove or significantly condense the 'Core Capabilities' section - Claude already knows what code optimization involves

Trim the 'Best Practices' section to only non-obvious guidance, or move it to a reference file

Dimension	Reasoning	Score
Conciseness	The skill is moderately efficient but includes some unnecessary explanation. The 'Core Capabilities' section lists things Claude already knows how to do, and some sections like 'Best Practices' contain generic advice. However, the code examples are lean and the structure avoids excessive verbosity.	2 / 3
Actionability	Excellent actionability with fully executable code examples in both Python and Java. The before/after patterns are copy-paste ready, profiling commands are complete, and the optimization template provides a concrete structure for presenting optimizations.	3 / 3
Workflow Clarity	Clear 4-step workflow (Identify → Categorize → Propose → Measure/Validate) with explicit validation checklist. The measurement techniques section provides concrete verification steps, and the 'Validation Checklist' ensures correctness is preserved after optimization.	3 / 3
Progressive Disclosure	Well-structured with clear navigation. Main content provides essential patterns inline while appropriately referencing detailed materials (references/python_optimizations.md, references/java_optimizations.md, references/database_optimizations.md) for comprehensive coverage. Quick Reference table at the end aids discovery.	3 / 3
	Total	11 / 12 Passed

Description

92%

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 strong skill description that clearly articulates specific capabilities, includes natural trigger terms users would use, and explicitly states both what the skill does and when to use it. The only minor weakness is potential overlap with other code-related skills, though the optimization focus helps differentiate it.

Dimension	Reasoning	Score
Specificity	Lists multiple specific concrete actions: 'execution speed improvements, memory reduction, database query optimization, and I/O efficiency' along with deliverables like 'before/after examples with detailed explanations' and 'complexity analysis'.	3 / 3
Completeness	Clearly answers both what ('Analyzes and optimizes code for better performance, memory usage, and efficiency') AND when ('Use when code is slow, memory-intensive, or inefficient') with explicit trigger conditions.	3 / 3
Trigger Term Quality	Includes natural keywords users would say: 'slow', 'memory-intensive', 'inefficient', 'performance', 'Python', 'Java', 'database query optimization'. These are terms users naturally use when seeking optimization help.	3 / 3
Distinctiveness Conflict Risk	While it specifies optimization focus and supported languages (Python, Java), it could potentially overlap with general code review or refactoring skills. The optimization niche is clear but 'code' is still somewhat broad.	2 / 3
	Total	11 / 12 Passed

Validation

90%

Warnings & errors only

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
skill_md_line_count	SKILL.md is long (542 lines); consider splitting into references/ and linking	Warning

	Total	10 / 11 Passed

Repository: ArabelaTso/Skills-4-SE
Commit: 0f00a4f

Reviewed: 4 months ago

Table of Contents

Discovery Implementation Validation

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