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ai-development-guide

Technical decision criteria, anti-pattern detection, debugging techniques, and quality check workflow. Use when making technical decisions, detecting code smells, or performing quality assurance.

70

Quality

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Passed

No known issues

SKILL.md
Quality
Evals
Security

Quality

Content

77%

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

A highly actionable, well-sequenced reference with strong workflow checkpoints and concrete decision criteria. Its weaknesses are encyclopedic length with topical overlap and a monolithic structure with no progressive disclosure.

Suggestions

Deduplicate 'Common Failure Patterns' against 'Technical Anti-patterns' (e.g., Pattern 2 repeats the bypass-safety-mechanism anti-pattern) to tighten conciseness.

Split large standalone sections (Quality Check Workflow, Debugging Techniques) into reference files linked from a concise overview to add progressive disclosure.

Add a brief top-of-file table of contents or quick-reference so the encyclopedic content is navigable without scanning the whole document.

DimensionReasoningScore

Conciseness

Mostly efficient reference-style content (tables, lists, templates) but encyclopedic in scope with topical overlap — 'Common Failure Patterns' restates 'Technical Anti-patterns' — so it could be tightened.

2 / 3

Actionability

Concrete decision tables (Rule of Three), checklists, structured Impact Analysis report template, and explicit review triggers; pseudocode is justified by the explicit 'Adaptation: use language-appropriate error handling' note.

3 / 3

Workflow Clarity

Multi-step processes are explicitly sequenced with validation gates — Impact Analysis is a mandatory 3-stage process with 'Do not implement until all 3 stages are documented', and the Quality Check Workflow ends in an explicit Final Quality Gate.

3 / 3

Progressive Disclosure

Well-sectioned with clear headers but a single monolithic ~300-line document with no bundle files or references; content that could be split (e.g., QA workflow, debugging techniques) is all inline.

2 / 3

Total

10

/

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.

A strong description: concrete capabilities, natural trigger terms, and an explicit Use-when clause. Its main weakness is breadth — the general development-practices framing risks overlapping with other coding skills.

DimensionReasoningScore

Specificity

Lists multiple concrete capabilities ('Technical decision criteria, anti-pattern detection, debugging techniques, and quality check workflow') in third person, matching the 'lists multiple specific concrete actions' anchor.

3 / 3

Completeness

It explicitly states what the skill does and provides an explicit 'Use when...' trigger clause, satisfying both the what and when anchors; not capped at 2 because the trigger is explicit.

3 / 3

Trigger Term Quality

The 'Use when...' clause surfaces natural terms a user would say ('technical decisions', 'code smells', 'quality assurance'), giving good coverage rather than jargon.

3 / 3

Distinctiveness Conflict Risk

The scope is broad general software-development guidance that could overlap with many coding skills, so it is only 'somewhat specific'; the niche is clear but not as tightly bounded as a single-format skill.

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
shinpr/claude-code-workflows
Reviewed

Table of Contents

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