ai-coding-config

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 debugging bugs, test failures, unexpected behavior, or needing to find root cause before fixing

Use when managing project learnings - view, add, search, prune, or export operational knowledge that persists across sessions

Use when shipping code - complete workflow: merge main, run tests, multi-review with auto-fix, commit, push, create PR. Replaces manual commit-push-pr flows.

Use when finding new AI agent skills, discovering capabilities, installing skills from GitHub, searching skill marketplaces, or expanding what Claude can do - like Neo downloading martial arts in The Matrix

Use when writing, reviewing, or refactoring React or Next.js code, optimizing React performance, fixing re-render issues, reducing bundle size, eliminating waterfalls, or improving data fetching patterns

Use when finding meeting transcripts, searching Fireflies recordings, getting action items from calls, or answering 'what was discussed in the meeting' questions

Use when recalling conversations from Limitless Pendant, finding what was discussed in meetings, searching lifelogs, or answering 'what did I say about' questions

Use when writing prompts, agent instructions, SKILL.md, commands, system prompts, Task tool prompts, prompt engineering, or LLM-to-LLM content

Use when creating skills, writing SKILL.md files, editing skill definitions, or adding new reusable techniques to ai-coding-config

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Use when current web info needed, verifying APIs still work, checking latest versions, or avoiding outdated implementations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 analyzing YouTube videos, extracting insights from tutorials, researching video content, or learning from talks and presentations