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simplify-implementation

AI DevKit · Analyze and simplify existing implementations to reduce complexity, improve maintainability, and enhance scalability. Use when users ask to simplify code, reduce complexity, refactor for readability, clean up implementations, improve maintainability, reduce technical debt, or make code easier to understand.

72

Quality

88%

Does it follow best practices?

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SKILL.md
Quality
Evals
Security

Quality

Content

85%Weight 40%Scale 1-3

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A well-structured, concise instruction skill with a clear gated workflow and one well-signaled reference. The main gap is actionability: it names simplification patterns and promises before/after snippets without providing any executable examples.

Suggestions

Add one or two short before/after code snippets illustrating a pattern (e.g. Flatten or Replace) so the Output Template's promised before/after snippets are concrete and copy-paste ready.

Strengthen the validation step with an explicit feedback loop ('if tests/regressions fail, revise and re-validate') to make the recovery path unambiguous.

DimensionReasoningScore

Conciseness

The body is lean and assumes Claude's competence: terse imperative steps, a dense red-flags table, and no padding explaining basic concepts Claude already knows.

3 / 3

Actionability

Provides concrete guidance (a real memory-search command, a referenced readability guide, the Reading Test, and named simplification patterns), but lacks executable before/after code examples the Output Template promises, leaving key details missing.

2 / 3

Workflow Clarity

A clear 5-step sequence with an explicit approval gate before any code change and a validation step (verify no regressions, add tests), matching the clear-sequence-with-checkpoints anchor.

3 / 3

Progressive Disclosure

The body is an overview that points to a single, real, one-level-deep reference (references/readability-guide.md), which exists and is clearly signaled in the workflow.

3 / 3

Total

11

/

12

Passed

Description

92%Weight 40%Scale 1-3

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong, third-person description with explicit 'what' and 'when' triggers and broad natural keyword coverage. Its only weakness is that the simplify/refactor niche is broad and could overlap with adjacent code-quality skills.

Suggestions

Tighten distinctiveness by naming a narrower trigger, e.g. 'Use when users ask to simplify EXISTING implementations (not write new code) to reduce complexity or technical debt' to reduce overlap with general coding/refactoring skills.

DimensionReasoningScore

Specificity

Lists multiple concrete actions (analyze, simplify, reduce complexity, improve maintainability, enhance scalability) rather than vague language, matching the 'lists multiple specific concrete actions' anchor.

3 / 3

Completeness

It explicitly answers both 'what' (analyze and simplify existing implementations...) and 'when' (Use when users ask to simplify code...), with explicit triggers.

3 / 3

Trigger Term Quality

The 'Use when' clause covers natural phrasings users would say (simplify code, reduce complexity, refactor for readability, reduce technical debt, make code easier to understand), giving good keyword coverage.

3 / 3

Distinctiveness Conflict Risk

The simplify/refactor/reduce-debt domain is somewhat specific but overlaps with general refactoring and code-quality skills; it is not a tight niche like PDF extraction, so conflict risk remains.

2 / 3

Total

11

/

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.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
codeaholicguy/ai-devkit
Reviewed

Table of Contents

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