readability-and-naming
Skill15 starsChanged 5 months agoCC0-1.0View on GitHub
Reviews readability, naming conventions, and clarity, flagging confusing identifiers and structure. Use when auditing for readability, naming consistency, or style.
We split this skill into the rules it gives an agent
4 rules. About 0 are common, 4 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈4
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 14
If no target path is given above, review the entire codebase.
- Distinctive: line 62
Prefer minimal, drop-in fix snippets over prose.
- Distinctive: line 64
Do not invent files or functions that aren’t present.
- Distinctive: line 66
Write this into a markdown file and place it in the audits/ folder.
≈ “Common” is an estimate: at least 1 in 5 of the 308,232 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Target: $ARGUMENTS
If no target path is given above, review the entire codebase.
Evaluate our code for readability and naming.
Review:
- NAMING CONVENTIONS
- Variables: descriptive vs cryptic (e.g., 'u' vs 'user')
- Functions: verb-based, clear intent
- Classes: noun-based, single responsibility
- Constants: UPPER_CASE consistency
- Private methods: underscore convention
- NAMING CONSISTENCY
- camelCase vs snake_case mixing
- Abbreviation consistency
- Domain terminology usage
- British vs American spelling
- CODE READABILITY
- Self-documenting code
- Need for comments (too many = code smell)
- Magic numbers/strings
- Complex boolean expressions
- Ternary operator abuse
- FUNCTION SIGNATURES
- Parameter count (>3 is a smell)
- Boolean parameters (avoid)
- Optional parameter handling
- Return type clarity
In the audit report, document a naming convention guide based on findings.
Provide:
A structured finding report
A scale of 1/10 on how important each finding is
Remediation: precise code-level fix or config change (snippets welcome) if possible
Constraints & style:
Be concrete and cite exact code locations and identifiers.
Prefer minimal, drop-in fix snippets over prose.
Do not invent files or functions that aren’t present; if context is missing, mark as Unable to verify and say what code would prove it.
Write this into a markdown file and place it in the audits/ folder.
In this repository21 other files it gives its agents.
- api-and-infrastructureSkill
- authentication-flow-reviewSkill
- authorization-implementationSkill
- business-logic-vulnerabilitiesSkill
- code-duplication-detectionSkill
- code-quality-metrics-standardsSkill
- comprehensive-security-reportSkill
- database-securitySkill
- design-pattern-implementationSkill
- error-handling-resilienceSkill
- exception-flow-analysisSkill
- file-handling-business-logicSkill
- initial-security-analysisSkill
- initial-software-design-analysisSkill
- input-validationSkill
- logging-monitoringSkill
- resilience-fault-toleranceSkill
- secrets-management-auditSkill
- session-cookie-securitySkill
- solid-principlesSkill
- testing-implementationSkill
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Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

