specimin-spec
Create or update the feature specification from a natural language feature description. Only invoke when user explicitly requests to create a specification, spec, or feature specification.
Browse published AI skills maintained by timsvoice. Compare skill descriptions and follow each source repository for setup instructions.
Indexed skills
8Repository stars across indexed skills
0Repository forks
0Average repository stars per indexed skill
0Repository stars may repeat across skills from the same repository.
Create or update the feature specification from a natural language feature description. Only invoke when user explicitly requests to create a specification, spec, or feature specification.
Execute surgical code refactors using single, named refactoring patterns with test verification. Use only when user explicitly requests to refactor code or perform a specific refactoring pattern. Analyzes compl...
Explicit accessibility enhancement and validation for generated UI code. Only invoke when user explicitly requests accessibility review, a11y enhancement, or WCAG compliance check.
Generate atomic implementation tasks from high-level plans, providing coding agents with clear, actionable work items. Only invoke when user explicitly requests to create tasks, break down tasks, generate imple...
Generate UI code from sketches, mockups, or descriptions. Works standalone for simple changes or with design context for complex features. Explores codebase, makes decisions inline, generates production code wi...
Generate a high-level implementation plan using Tree-of-Thought exploration from the feature specification. Only invoke when user explicitly requests to create a plan, implementation plan, or generate a plan.
Review a PR created through the spec/plan/implement flow. Analyzes changes against specification and provides actionable feedback. Only invoke when user explicitly requests to review a PR or review changes.
Squash commits and create a pull request after feature implementation is complete. Only invoke when user explicitly requests to wrap up, create a PR, prepare for review, or finish the feature.
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.