code-implementer
This skill should be used when the user asks to "implement code", "write feature", "create function", "develop component", "code the solution", or requests actual code implementation based on a design. Use for...
Browse published AI skills maintained by xkayo32. Compare skill descriptions and follow each source repository for setup instructions.
Indexed skills
7Repository stars across indexed skills
0Repository forks
0Average repository stars per indexed skill
0Repository stars may repeat across skills from the same repository.
This skill should be used when the user asks to "implement code", "write feature", "create function", "develop component", "code the solution", or requests actual code implementation based on a design. Use for...
This skill should be used when the user asks to "create tests", "write unit tests", "validate implementation", "verify feature", "check if tests pass", "run verification", or requests testing and validation wor...
This skill should be used when the user asks to "design a feature", "make architectural decision", "choose a pattern", "select technology", "plan structure", "decide on approach", or requests technical design b...
This skill should be used when the user asks to "orchestrate a task", "plan complex feature", "decompose task", "break down implementation", "coordinate multi-file changes", or mentions tasks requiring multiple...
This skill should be used when the user asks to "review code", "check quality", "assess implementation", "validate standards", "identify issues", or requests code review and quality assessment. Use for systemat...
This skill should be used when the user reports "error", "bug", "not working", "failing tests", "unexpected behavior", "investigate issue", or describes something broken or malfunctioning. Use for systematic de...
This skill should be used when the user asks to "write documentation", "create README", "document API", "add comments", "explain code", "generate docs", or requests documentation creation and maintenance. Use f...
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.