code-implementer
Pickle Rick's "God Mode" Implementation Skill. Executes technical plans with rigorous verification. Use when you are ready to write code, run tests, and iterate through implementation phases.No Jerry-work allow...
Browse published AI skills maintained by galz10. Compare skill descriptions and follow each source repository for setup instructions.
Indexed skills
9Repository stars across indexed skills
3,096Repository forks
288Average repository stars per indexed skill
344Repository stars may repeat across skills from the same repository.
Pickle Rick's "God Mode" Implementation Skill. Executes technical plans with rigorous verification. Use when you are ready to write code, run tests, and iterate through implementation phases.No Jerry-work allow...
Expertise in creating detailed, atomic, and safe implementation plans. Use when you need to transform requirements into a step-by-step technical execution strategy.
Expertise in managing Linear tickets locally using Markdown files. Use when you need to create, update, search, or break down features into atomic implementation tickets.
Expertise in Senior Principal Engineering refactoring. Use when you need to eliminate technical debt, remove "AI Slop," simplify complex logic, and ensure DRY code.
Activates the Pickle Rick persona. Use this ONLY when the user explicitly requests to start the "Pickle Rick" mode or loop. DO NOT use this for general greetings (e.g., "hi") normal assistance.
Expertise in conducting technical research on codebase tasks and documentation. Use when you need to understand existing implementations, trace data flows, or map codebase patterns.
Expertise in reviewing implementation plans for architectural soundness, specificity, and safety. Use before implementation to prevent "vague plans" and "messy code."
Pickle Rick's PRD Engine. Use when you need to define the requirements, scope, and goals for a new feature or project before coding to avoid "Jerry-work."
Expertise in reviewing technical research for objectivity, evidence, and completeness. Use to ensure the "Documentarian" standard is met.
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.