Commands, agents, skills, and context for AI-assisted development workflows
Use when facing hard architectural decisions, multiple valid approaches exist, need diverse perspectives before committing, or want M-of-N synthesis on complex problems
Use when rough ideas need design before code, requirements are fuzzy, multiple approaches exist, or you need to explore options before implementation
Use when testing MCP servers, debugging MCP tool responses, exploring MCP capabilities, or diagnosing why an MCP tool returns unexpected data
Use when automating browsers, testing pages, taking screenshots, checking UI, verifying login flows, or testing responsive behavior
Use when current web info needed, verifying APIs still work, checking latest versions, or avoiding outdated implementations
Use when creating skills, writing SKILL.md files, editing skill definitions, or adding new reusable techniques to ai-coding-config
Use when debugging bugs, test failures, unexpected behavior, or needing to find root cause before fixing
Use when writing prompts, agent instructions, SKILL.md, commands, system prompts, Task tool prompts, prompt engineering, or LLM-to-LLM content
Use when analyzing YouTube videos, extracting insights from tutorials, researching video content, or learning from talks and presentations