zerg-testing
zerg-testing is a centralized testing framework that utilizes Make targets for managing AI agents, providing core commands for unit tests, E2E tests, and debugging
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zerg-testing is a centralized testing framework that utilizes Make targets for managing AI agents, providing core commands for unit tests, E2E tests, and debugging
Creating-components is a skill that allows developers to create and manage UI components using a standardized structure and implementation pattern.
Steering is a workflow management skill that enables AI agents to plan, track, and review tasks using a structured approach.
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create-endpoint is a skill that enables AI agents to develop endpoints through a step-by-step process, including testing, implementation, and documentation.
Writing Skills is a Test-Driven Development approach to process documentation, stored in .gemini/skills/ or ~/.gemini/skills/, enabling developers to write and refine skills through test cases and refactoring.
create_word_tree is a skill that generates word trees from daily notes in a language folder, using commands like date +%F to determine the target date.
sysop-kernel is a technical framework that follows a plan-first approach, utilizing worktrees per task for parallel execution and requiring verification for auditable notes.
skill-editor is a tool for creating and editing skills based on the AgentSkills.io open standard, utilizing directory-based structures and YAML frontmatter.
sync-policies is a skill that generates XML output in a specific format, including analysis, solution, and considerations elements, for use in AI agent applications.
typescript-error-explainer is a critical directive enforcement skill for AI agents, requiring them to read and process files using tools like Read, Glob, or Bash