planner
Use when planning feature implementations, creating design artifacts, or structuring development tasks. Apply when user mentions planning, designing, architecting new features, or needs to break down complex fe...
Browse published AI skills maintained by MRenAIAgent. 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.
Use when planning feature implementations, creating design artifacts, or structuring development tasks. Apply when user mentions planning, designing, architecting new features, or needs to break down complex fe...
Use when reviewing code for quality, design issues, implementation problems, security vulnerabilities, or architectural concerns. Apply when user asks to review code, check implementation, find issues, or audit...
Use this skill after code changes are made, when reviewing implementations, checking code quality, or ensuring constitutional compliance. Apply when user mentions reviewing, analyzing, or checking code quality....
Use when implementing features, writing production code, providing technical feedback on designs, or making implementation decisions. Apply when user asks to implement, build, code, develop, or create software....
Use when designing system architecture, creating design documents, planning technical architecture, or making high-level design decisions. Apply when user mentions system design, architecture, technical design,...
Use when designing tests, implementing test cases, running tests, analyzing test coverage, or fixing test failures. Apply when user mentions testing, test cases, TDD, coverage, or asks to run tests. Use proacti...
Use when researching AI agents, LLMs, hosting solutions, OCR technologies, video generation models, or evaluating technology stacks. Apply when user asks to research, compare, evaluate, or investigate technolog...
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.